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Guidelines for
Achieving a Compliant
Query Practice
(2022 Update)
©2022 AHIMA and ACDIS with equal rights. All rights reserved.
Reproduction and distribution of the Guidelines for Achieving a
Compliant Query Practice (2022 Update) without written permission of
ACDIS and AHIMA is prohibited.
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Disclaimer: “This practice brief is intended to provide best practice standards for the clinical documentation
integrity query process that is driven by the underlying goal of validating the clinical documentation within the
health record accurately represent the clinical status of the patient
The American Health Information Management Association – Association of Clinical Documentation Integrity
Specialists (AHIMA-ACDIS) Practice Brief should serve as an essential resource for coding and clinical
documentation integrity (CDI), and other professionals in all healthcare settings (e.g., inpatient, outpatient, etc.),
who participate in query (documentation clarification) processes and/or functions. This Practice Brief should also
be shared and discussed with other healthcare professionals, such as quality, compliance, revenue cycle, patient
financial services, physician groups, facility leaders, care management and any others who work with health record
documentation. These disciplines work to impact the health record regarding reimbursement, medical necessity,
professional billing, and quality to include complications, mortalities, clinical coding, and/or coded data. The
guidance is to be used by payers, auditors and compliance agencies in health record reviews impacting Diagnosis
Related Group (DRG) re-assignment, claim denials, post-payment findings, risk adjustment, medical necessity of
care, and code assignment (Current Procedural Terminology® CPT, International Classification of Diseases (tenth
ed.)-Clinical Modification/Procedural Coding System [ICD-10-CM/PCS]).
The practice briefs purpose is to establish and support industry-wide best practices for the clinical documentation
query process (documentation clarification). The practice brief should be used to guide organizational policy
and process development for a compliant query practice. The practice brief implements the directives of
the International Classification of Diseases, tenth ed., Clinical Modification (ICD-10-CM) and International
Classification of Diseases, Procedure Coding System (ICD-10-PCS), Official Guidelines for Coding and Reporting
and official advice in the American Hospital Association (AHA) Coding Clinic® for ICD-10-CM/PCS. The intent is
to provide a resource for all stakeholders including external reviewers (e.g., the Office of Inspector General (OIG),
government contractors, payer review agencies) in the evaluation of provider queries and the documentation they
provide.
The FY 2023 ICD-10-CM Official Guidelines for Coding and Reporting define the term providers as, “physician or
any qualified healthcare practitioner who is legally accountable for establishing the patient’s diagnosis.” (p. 1).
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The
term “provider” will be utilized within this brief to refer to any treating clinician who meets this definition.
Specific use examples of the practice brief include (but are not limited to):
Orienting new employees and educate current staff
Assisting with development of query audit standards
Reviewing and updating query policies and procedures
for compliant practices
Utilization in compliant query education and training
Standardizing query practices across the industry
Providing a reference tool for compliance and legal
matters
Informing external or third-party stakeholders and/or
consultants
Educating team members regarding the impact
compliant query practices have on organizational and
professional billing
This industry practice brief supersedes all previous versions of this practice brief.
©2022 AHIMA and ACDIS with equal rights. All rights reserved. Reproduction and distribution of the Guidelines for
Achieving a Compliant Query Practice (2022 Update) without written permission of ACDIS and AHIMA is prohibited.
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Query Guidelines:
The following information establishes basic guidelines to ensure all queries are developed compliantly:
General Query Standards
I. Query definition: a communication tool or process used to clarify documentation in the health record for
documentation integrity and accuracy of diagnosis/procedure/service code(s) assignment for an individual
encounter in any healthcare setting. A query may be developed by a healthcare professional or through a
computer autogenerated query process.
a. Possible terms which may meet the definition of a query (not all inclusive): clarification, clinical
clarification, documentation clarification, prompt, nudge, alert, and so forth. Regardless of the term
used the key is if it meets the above definition of a query, it is considered a query.
II. The remainder of this practice brief will reference code assignment when referring to a diagnosis/procedure/
service code.
III. The remainder of this practice brief will reference the term encounter to describe all patient encounter types
for both inpatient and outpatient settings.
a. Synonymous terms (not all inclusive): admission, hospital stay, office visit, inpatient stay, outpatient
stay, and so forth.
IV. Ambiguous documentation definition: documentation that fails to reflect the providers intent, impacts the
clinical scenario (e.g., diagnoses, complications, quality of care issues), the accuracy of code assignment,
and/or the ability to assign a code.
V. Query Professionals (QP)
a. Those who use the query to pose questions to resolve documentation issues and/or those who have
oversight and/or involvement in the query process.
b. QP include coding professionals, CDI professionals, physician/provider advisors, and all professionals
who initiate communication that meets the definition of a query to clarify clinical documentation.
c. Any QP can initiate a query following these compliant guidelines.
General Query Guidelines:
I. Query Requirements
a. Be compliant with the practices outlined in this brief
b. Be clear and concise
c. When specific information is pulled from the health record to support the query, quotations may be
used to identify direct sourcing of clinical information with identification of where the information was
pulled.
Who Should Follow This Brief?
Claims data are impacted by healthcare roles that include not only CDI and coding professionals but also
physician advisors, case management/utilization review, quality management professionals, infection control
clinicians, information technology professionals and any others working to clarify healthcare documentation/
information. The documentation query process is used for several initiatives which may include reimbursement
methodologies, data stewardship and collection, quality measures, medical necessity, denial prevention, and
so forth. Regardless of organizational objectives, professionals seeking documentation clarification need to
follow this practice brief.
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d. Contain applicable clinical indicators from the health record (See, clinical indicator section)
e. All multiple choice query answer options should only include clinically relevant options (meaning
those options that are supported by the clinical indicators within the health record)) and exclude
clinically irrelevant options (e.g., sodium level is 122 and a query is sent to determine if a diagnosis can
be provided; hypernatremia would not be an appropriate answer option).
f. Multiple-choice answer options are to include the answer option of “other” (or similar terminology) to
allow the provider to customize their response
g. In addition to the choice of other there is no mandatory maximum or minimum number of diagnosis/
procedure answer options necessary to constitute a compliant multiple choice query.
h. The multiple choice answer options are not required to be in any particular order
i. Answer options that may be used (but are not required) include, unknown, not clinically significant,
integral to, unable to rule out, inherent to, or other similar wording.
j. “Unable to Determine” requires specific consideration to determine if needed as a multiple-choice
option.
I. “Unable to determine” is defined as the provider being clinically unable to determine if a
diagnosis or further clarity can be provided in the documentation. This terminology does not
equate to an “unable to rule out” option and does not represent an uncertain diagnosis (e.g.,
possible, probable, unlikely). See Official Guidelines for Coding and Reporting ICD-10-CM,
Section II.H., Section III.C, and Section IV.H for more information in uncertain diagnosis.
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II. The options of “unable to determine, “possible, and “unable to rule out” are NOT
synonymous terms.
III. The option of “unable to determine” is
required in POA and yes/no queries.
IV. “Unable to determine” options may be
reviewed on a case-by-case basis to
determine if further escalation of the
query should be performed.
k. Present only the documentation or data from the
health record, without subjective interpretation
from the QP, identifying why the clarification is
required.
l. Never include impact on reimbursement, quality
measures or other reportable data.
II. When to Query
Queries may be necessary in (but not limited to) the
following instances:
a. To support documentation of medical diagnoses
or conditions that are clinically evident and
meet the Uniform Hospital Discharge Data
Set (UHDDS) requirements but without the
corresponding diagnoses or conditions stated
b. To resolve conflicting diagnostic or procedural
documentation between providers
c. To clarify the reason for the inpatient/outpatient encounter
d. To seek clarification when it appears a documented diagnosis is not clinically supported or conflicting
with the medical record documentation (clinical validation).
e. To confirm a diagnosis documented by an independent licensed practitioner who does not meet the
definition of a provider in the inpatient setting. (e.g., confirmation of a pathology finding).
f. To establish a cause-and-effect relationship between medical conditions.
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g. To establish clinically supported acuity or specificity of a documented diagnosis to avoid reporting a
default or unspecified code
h. To establish the relevance of a condition documented as a “history of” to determine if the condition is
active
i. To support appropriate Present on Admission (POA) indicator assignment
j. To determine if a diagnosis is ruled in or out
k. To clarify the objective and/or extent of a procedure
l. To clarify the presence or absence of a complication
m. To clarify a diagnosis on an ancillary note that has been signed but not addressed by a provider. For
example, if the nutrition notes states, “severe malnutrition” and the notes is signed by the provider, but
the provider does not address the diagnosis within their documentation.
III. When Not to Query
a. Queries are not necessary for every discrepancy or unaddressed documentation issue in accordance
with an organization’s policy and procedure. Circumstances may include lack of business need, or
does not add to the clarity of the clinical picture. Queries sent in these circumstances can promote
query fatigue.
b. Do not query if the provider cannot offer clarification based on the present health record
documentation.
c. When there is sufficient documentation to assign a valid code and no indicators that the code can
be specified to a higher degree. Code accuracy is not the same as code specificity. The ICD-10-CM
Official Guidelines for Coding and Reporting’s General Guidelines B.
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only requires diagnosis codes
to be reported to the highest number of characters supported by the documentation, not to the most
specific code available within the code set.
d. Queries should only be generated when the clinical data (present and relative historical data) fully
supports the answer choice(s).
IV. Sending Multiple Queries
a. Verbal queries may be used when multiple queries are required regarding the same set of clinical
indicators or documentation in complex cases is ambiguous. For example, when both a diagnosis and
additional specificity must be established, such as clarification of the presence and the type of heart
failure. A second query may be needed to obtain further clarification of a previously answered query
as additional information became available or as the clinical picture evolves.
b. Organizations should develop policies to identify the number of queries that should be simultaneously
placed, and directions as to how to prioritize query focus.
Compliant Query Guidelines
The objective of a query is to ensure the reported diagnoses and procedures derived from the health record
documentation accurately reflect the patients episode of care.
Compliant query practice should follow these tenets:
I. Provide multiple choice answer options that are supported by the clinical indicators in the health record
which are also included on the query.
II. Diagnosis answer options that are not already documented in the health record must be supported by
clinical indicators sourced from the medical record. These clinical indicators must be included within the
query.
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III. Include a non-leading query statement (e.g., please clarify the diagnoses, can a diagnosis be provided) that
is clear, concise, and specific to the necessity of the query supported by the clinical scenario. See query
examples in Appendix A.
IV. Titles of queries, that are viewed by providers, should be non-leading in nature and not include impactful
information (e.g., reimbursement, quality indicators, specific diagnoses, new information that is not included
in the health record, the desired response). See query examples in Appendix A.
V. Queries must be accompanied by clinical indicator(s)/evidence that:
a. Are specific to the patient and episode of care
b. Support a more complete or accurate diagnosis or procedure
c. Require clinical validation of a reported diagnosis not supported by the health record, please
reference the latest update to the practice brief, Clinical Validation: The Next Level of CDI, to learn
more about clinical validation.
d. May be acquired from the current or previous health record, if clinically pertinent to the present
encounter (Please reference Previous Encounter section for more information)
VI. In the inpatient setting, using query questions/statements and answer options that indicate an uncertain
diagnosis as defined by the Official Guidelines for Coding and Reporting and Coding Clinic®, should rarely be
used, unless the provider has documented a diagnosis using a term of uncertainty (e.g., “likely,” “probable,
and so forth). There are some circumstances when they may be incorporated to allow the provider the
opportunity to confirm their thought process in the absence of concrete data needed for confirmation of a
diagnosis (e.g., Acute tubular necrosis (ATN) without a kidney biopsy, type of pneumonia without a sputum
culture).
Problem Lists
A problem list includes a list of active diagnoses that are relevant to the current episode of care.
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Below are some
guidelines regarding the problem list.
Organizations should develop policies and procedures related to compliant query practices and the maintenance of the
problem list. For example, determine who can update a problem list post query response.
When choosing a diagnosis and updating the problem list, elements that reflect financial reimbursement or quality
impact should not be identifiable (e.g., relative weights, complications, Patient Safety Indicators (PSIs), Hospital Acquired
Conditions (HACs), Major Complications and Comorbidities (MCCs), Complications and Comorbidities (CCs),
Hierarchical Condition Categories (HCCs), mortality variables, etcand so forth).
Query Template Guidelines
I. Standards of Use
a. Establish policies and procedures for
i. Creating query templates
1. Obtaining input/feedback on templates from providers and/or other disciplines, as
appropriate
ii. Reviewing and updating query templates on a regular schedule is recommended (e.g.,
annually, when changes to a process occurs)
iii. Instructions on the use of templates
b. Templates must align with other standards and
criteria identified in this practice brief
II. Template Format should include:
b. Patient identification, if not auto populated in the EHR
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b. Editable or customizable information
b. Clear, concise wording that is efficient for the provider to review
d. A topic title that is not visible to a provider or is non-descript, and does not identify a diagnosis that is
not already documented
III. Template elements should allow for inclusion of relevant clinical indicator(s) and evidence to support the
query. Clinical indicators should include a citatio of the location found within the health record.
IV. Template Answer Option(s) should include:
a. Only offer multiple choice answer options that are clinically credible
i. Remove imbedded answer options that are not clinically credible or relevant
ii. There is no mandatory or minimum number of diagnosis/procedure answer options necessary
to constitute a compliant multiple choice query.
b. Choices offered should be worded in such a manner that allows for accurate code assignment.
Provider Education
I. Provider education is a vital component of query efforts. Queries alone may not be enough to provide the
needed information to inform the provider of ways to deliver clinical documentation integrity.
II. Offer education and examples to providers on a regular schedule so they are comfortable with reading and
responding to queries. This allows them to better understand their role and the query process.
III. Provider education may utilize case studies with actual queries; however, patient identifiers should be
removed.
Role of Prior Encounters in Queries
Code assignment is not determined by documentation from previous encounters. However, sending a query to
clarify documentation using evidence from a previous encounter may be appropriate when relevant to the current
encounter. When clinically pertinent to the present encounter, information from a prior health record can be used
to support a query. This process reinforces the accuracy of information across the healthcare continuum. However,
it is inappropriate to “mine” a previous encounters documentation to generate queries not related to the current
encounter. Mining would be reviewing a previous health record encounter without a related trigger found in the
current encounter. For example, a compliant reason to review previous information (e.g., non-mining), CKD has been
documented in the current encounter triggering the need to review previous encounter information to gain further
specificity of the CKD.
Queries using information from prior encounters may be utilized when relevant in (but not limited to) the following
situations:
Diagnostic criteria allowing for the presence and/or further specificity of a currently documented diagnosis, such as to
ascertain the type of heart failure, specific type of arrhythmia, stage of chronic kidney disease (CKD), etc.
Treatment/clinical criteria or diagnosis referenced to the current encounter that may have been documented in a prior
encounter
Determine the prior patient baseline allowing for comparison to the current presentation
Establish a cause-and-effect relationship (e.g., clarifying a post operative complication, exposure to causative organism)
Determine the etiology, when documentation indicates signs, symptoms, or treatment that appear to be related to a
previous encounter.
Verify POA indicator status
Clarify a prior history of a disease that is no longer present (e.g., history of a neoplasm)
When considering whether a query could be issued using information in the prior record, carefully consider the
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“General Rules for Other (Additional) Diagnoses” that
states: “For reporting purposes the definition for ‘other
diagnoses’ is interpreted as additional conditions
that affect patient care in terms of requiring: clinical
evaluation; or therapeutic treatment; or diagnostic
procedures; or extended length of hospital stay; or
increased nursing care and/or monitoring,” according
to ICD-10-CM Official Guidelines for Coding and
Reporting, Section III.
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It would be inappropriate to
query for a diagnosis that, if documented, would not
satisfy this criteria. A query cannot be based solely on
the information from a prior encounter. There must be
relevant information within the current encounter to
substantiate the query.
Clinical Indicator(s)
“Clinical indicator(s)” is a broad term encompassing documentation that supports a diagnosis as reportable and/
or establishes the presence of a condition.
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Examples of clinical indicators include (but are not limited to): provider
observations (physical exam and assessment), diagnostic tests, treatments, medications, trends, and consultant
documentation authored by providers and ancillary professionals documented throughout the health record. There
is no required number of clinical indicator(s) that must accompany a query because what is a “relevant” clinical
indicator will vary by diagnosis, patient, and clinical scenario.
While organizations, payers, and other entities may establish guidelines for clinical indicator(s) for a diagnosis,
providers make the final determination as to what clinical indicator(s) define a diagnosis.
Clinical indicators should:
Be clear and concise
Directly support the condition requiring clarification
Allow the provider to clinically determine the most appropriate medical condition or procedure
Paint the clinical picture of the diagnosis queried to be added or clinically validated
Be specific or directly related to, but not necessarily from the current encounter (see Role of Prior Encounters in Queries,
above)
Support documentation that will translate to the most accurate code
Clinical indicator(s) may be sourced from the entirety of the patients health record to include but are not limited to:
Emergency services documentation (e.g., emergency service transport, ED provider, ED nursing)
Diagnostic findings (e.g., laboratory, imaging)
Provider impressions (e.g. history and physical, progress notes, consultations)
Relevant prior visits (if the documentation is clinically pertinent to present encounter)
Ancillary professional documentation and assessments (e.g., nursing, nutritionist, wound care, physical, occupational,
speech, and respiratory therapist)
Procedure/Operative Notes
Care management/social services
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Who is Queried?
Queries should be sent to and responded to by provider(s) that are delivering direct care to the patient during the specific
encounter. It would be inappropriate to query a provider who is not providing direct care, for example sending a query to
the physician advisor for a response. It is up to the organization to determine the procedure that will be followed if the
treating provider is no longer on service or available to respond to the query.
When multiple providers, from different specialties, are involved in the patients care, the most appropriate provider
related to the query subject should be queried. For example, a query should not be sent to the nephrologist for skin ulcer
etiology or the hospitalist for extent of excisional debridement performed by the surgeon.
When conflicting documentation is present, the attending provider should be queried to resolve any discrepancies. Refer
to ICD-10-CM Official Guidelines for Coding and Reporting’s I.B.1.
“Documentation by Clinicians Other than the Patient’s Provider”
section for additional guidance, as this guidance has been
expanded and updated as of 2022.
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There are occurrences for which it is appropriate to query
clinicians who are not classified as a provider for additional
information (other than a diagnosis). It is up to the individual
organization to determine in their policies and procedures if
they will query clinicians who are not classified as a provider. For
example (this is not an all-inclusive list):
º Nurse administering infusions
º Clinicians providing wound care
º Respiratory therapist for mechanical ventilation
º Nurse administering medication that has been
ordered by the provider
º Dietitian to provide body mass index (BMI)
º Social worker, community health workers, case managers, or nurses for any clarification for Social
Determinants of Health (SDOH)
All individuals who are likely to receive a query should be educated about the reason(s) for the query, the process, and the
expectations for completion and documentation.
How to Query
Regardless of format, method, or technology used, queries serve the purpose of supporting clear and consistent
documentation of diagnoses being monitored and treated during a patients healthcare encounter or the specific
procedure performed. A query must adhere to compliant, non-leading standards, permitting the provider to
unbiasedly respond with a specific diagnosis or procedure. References to reimbursement must not occur. All relevant
diagnoses, lab findings, diagnostic studies, procedures, etc. which illuminate the need for a query should be noted
and cited as to the location within the medical record.
A query should not direct (lead) the provider to document a specific response (e.g., highlighting, bolding, underlining,
italics, using a yes/no format to obtain a new diagnosis). It is non-
compliant to continue sending the same query to the same or
multiple providers until a desired response is received.
If a compliant query has been properly answered and authenticated
by a responsible provider and is part of the permanent health
record, it is sufficient for code assignment. The response to the
query is not required to be repeated elsewhere in the health record.
However, if subsequent information is conflicting with the query
response additional clarification may be needed.
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Verbal Queries
When verbal queries are utilized, they should be recorded per organizational policy including documentation of the
conversations that occur regarding documentation of reportable conditions/procedures. Conversations should be
non-leading, include all appropriate clinical indicator(s), and all plausible options. In capturing the essence of the
verbal discussion, timely notation of the reason for the query (exact date/time and signature), clinical indicator(s),
and options provided should be recorded and tracked in the same manner as written queries. This would allow
verbal queries to be discoverable to other departments and external agencies. A response to a verbal query must be
documented in the permanent health record in order to be coded.
Written Queries
All queries are to be constructed in a clear and concise manner citing relevant clinical indicator(s) and identify
applicable diagnoses. Queries should be legible and grammatically correct. All clinically supported option(s should
be included as well as the opportunity for the provider to craft an alternate response (e.g., “other, please specify”).
Written queries can have the following formats (see sample queries in Appendix A)
Open-ended: Allows provider to add free text query
responses based on their clinical judgement which
may or may not align with documentation needed
to support code assignment
Multiple choice: Multiple choice query formats
should include clinically significant and reasonable
option(s) as supported by clinical indicator(s) in
the health record, recognizing that occasionally
there may be only one reasonable option. Providing
a new diagnosis as an option in a multiple-choice
list—as supported and substantiated by referenced
clinical indicator(s) from the health record—is not
introducing new information. There is no mandatory
or minimum number of choices necessary to
constitute a compliant multiple-choice query.
Yes/No: Yes/No queries should only be employed
to clarify documented diagnoses that need further
specification. Yes/No queries may not be used
in circumstances where only clinical indicators of a
condition are present, and the condition/diagnosis has not been documented in the health record. The query should
include the documentation in question with relevant clinical indicator(s) and be constructed so that it can be answered
with a “yes” or “no” response. Below are some examples for when a yes/no query may be applicable:
º Determining POA status
º Substantiating a diagnosis that is already present in the current health record (e.g., findings in
pathology, radiology, other diagnostic reports) with interpretation by a provider (inpatient setting)
º Establishing or negating a cause-and-effect relationship between documented conditions such as:
Manifestation/etiology, complications, and conditions/diagnostic findings
Resolving conflicting documentation from multiple providers
A query response should be documented in the health record even if the patient has been discharged (e.g., in the
form of an amendment, or the query form itself). The response to the query is not required to be repeated elsewhere
in the health record; however, if subsequent information conflicts with the query response, additional clarification
may be needed. If the health record has been completed, then an addendum should be created and authenticated
according to organizational policy.
While organizations are free to determine the specifics of their query process, compliant practice requires that all
queries (i.e., actual query) either be a permanent part of the health record or be retrievable in the business record.
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Query Policies and Procedures
Organizations should develop policies and procedures to manage and monitor query practice compliance. All
documentation queries are to be retained according to state regulations and organizational policies (e.g., written,
verbal, computer generated). Below are some examples of information that may be included within the policies and
procedures (not all inclusive):
Query Compliance
º Template approval process
º Query validity
º Query audit processes
Frequency
Staff
Internal
External
Audit tool and purpose
Qualitative and quantitative data
Multiple Queries
º How many topics and questions may be issued on one query
º How many queries may be communicated during the same encounter
Clinical Criteria
º Organizations may define what clinical criteria they will use to support specific diagnoses (e.g., Sepsis 2, Sepsis
3, Kidney Disease Improving Global Outcomes [KDIGO]), American Society for Parenteral and Enteral Nutrition
(ASPEN)
Timing of Queries
º Organizations may define when queries can be sent in relation to the timing of the encounter (e.g., prospective,
concurrent, post discharge).
º Exact time frames may be established by organizations regarding when a query may be sent after discharge, it is
best practice to send queries as close as possible to the time of the encounter.
º If a query is placed post bill, processes should be in place allowing for rebilling of the encounter, if reimbursement
is impacted.
Query Retention
º The query retention policy needs to specify if the completed query will be a permanent part of the health record or
considered as part of the business record. If the query is deemed to be part of the health record, it will be subject
to health record retention guidelines which vary from state to state.
º Queries may be disclosed and are retained for auditing, monitoring, and compliance.
Escalation Policy
º Facilities should develop an escalation policy including the process and purpose
Process
This policy should clearly outline expectations of each individual involved in the process, including
the expected time frames in which resolution or further escalation is expected.
Escalation may begin with a supervisor or manager and if necessary, referred to a physician advisor,
chief medical advisor, or other administrative professional until resolved. The escalation process is
not meant to direct or intimidate the recipient to elicit a specific response.
Purpose (not all inclusive)
Unanswered queries
Address any medical staff concerns regarding queries
Provider feedback communication process
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Conclusion
Healthcare professionals who work alongside
providers to ensure accuracy in health record
documentation should follow established
facility and organization policies processes,
and procedures that are congruent with
recognized professional guidelines. This
Practice Brief represents the joint efforts of
both AHIMA and ACDIS to provide ongoing
guidance related to compliant querying. As
healthcare delivery continues to evolve, it is
expected that future revisions to this Practice
Brief will be required.
References
1. CMS (2022). Coding. Retrieved from: Coding | CMS
2. ICD-10-CM Official Guidelines for Coding and Reporting.
(2023). Retrieved from: ICD-10-CM Guidelines FY 2023 (cms.
gov)
3. AHIMA. “Definition, History, and Use of the Problem
List.” Journal of AHIMA 90, no. 7 (Jul-Aug 2019): 44-49.
4. Clinical Validation: The Next Level of CDI. (2019). AHIMA.
Retrieved from: Clinical Validation: The Next Level of CDI
(January 2019 Update) (ahima.org)
5. AHA Coding Clinic® (2014). First Quarter
6. Compliant CDI Technology Standards (2021). AHIMA/ACDIS.
Retrieved from: Compliant CDI Technology Standards
º If an appropriate professional response to a query is not received
º Monitoring and trending should be in place to identify provider engagement, this may
include positive reinforcement and implications for patterns of concern
Query Technology
Technological advancements have the potential to help query professionals operate with greater efficiency, thus
improving productivity. With the evolution of healthcare technology and its impact on the industry, it remains the
responsibility of the query professional to distinguish between legitimate query opportunities versus inappropriate
triggers while continuing to recognize potential opportunities not identified by said technology.
The purpose and expectations of the documentation query process are to assist the provider in creating thorough
and complete documentation, including specificity, treatment provided, and clinical validation. All queries must
meet the same compliant standards regardless of how or when they are generated, including those autogenerated
by Artificial Intelligence (AI) and Computer-Assisted-Coding (CAC), whether in real time Computer Assisted
Physician Documentation (CAPD) or after the episode of care is complete.
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Any technology generated documentation query must follow the query compliance guidance discussed above. If
a query response from a technology driven query does not yield the response desired, it is inappropriate to send a
follow up manual query, for the same diagnosis/condition/procedure, in absence of new clinical indicators.
The use of technology to generate queries is used by many organizations. To review additional information regarding
the compliant use of technology please see the AHIMA/ACDIS Compliant CDI Technology Standards White Paper.
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Example #1:
Clinical Validation Query - diagnosis is documented but appears to lack clinical support
Below are two compliant options to consider when writing a clinical validation query.
Appendix A:
NOTE: Use the following query examples as a guide in developing queries. These are examples only. Follow your
organization’s policies and procedures when developing queries. Please note that the clinical indicator(s) in these
examples are not all inclusive; be sure to include all pertinent clinical indicators identified in the health record in your
query.
Acute respiratory failure on H&P dated xx/xx and
progress notes dated xx/xx and xx/xx.
Clinical Indicators: H&P indicates: Underlying
pneumonia, respiratory rate 12, no accessory
muscles usage, arterial blood gases are pH of
7.40, pCO2 of 36, and pO2 of 75 on room air.
Based upon the clinical indicators below, please
clarify the status of respiratory function?
Acute respiratory failure ruled out
Acute respiratory failure confirmed (please
document additional supporting information
or mitigating factors)
Other explanation of clinical findings (please
specify) __________
Please clarify the diagnosis related to the
respiratory failure:
Acute respiratory failure ruled out
Acute respiratory failure confirmed (please
document additional supporting information or
mitigating factors)
Other explanation of clinical findings (please
specify) __________
Acute respiratory failure was documented on H&P
dated xx/xx and progress notes dated xx/xx and
xx/xx.
Clinical Indicators: H&P indicates: Underlying
pneumonia, respiratory rate 12, no accessory
muscles usage, arterial blood gases are pH of 7.40,
pCO2 of 36, and pO2 of 75 on room air.
Option 1 Option 2
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Example #2:
Documentation in the present and prior health
record provides evidence to support the presence
of a condition
Clinical Indicators:
Documentation in the progress note mm/dd/year
indicates renal dosing applied to Metronidazole
dosing. Current H&P mm/dd/year states CKD
but no stage is documented, Previous encounter
discharge summary (dated xx/xx) documents
CKD stage 4, Trending eGFR (dates x/xx, x/xx, x/
xx) ranging 17-20 mL/min.
Please clarify the staging of the CKD:
CKD, stage 4
Other explanation of clinical findings (please
specify)
Clinically undetermined
Example #3:
Evidence in previous health record supports
further specification of a condition
Acute congestive heart failure was documented
on progress note dated xx/xx.
Clinical Indicators: Echo from last week’s office
visit indicates ejection fraction of 35% and
diastolic dysfunction.
Please further specify the diagnosis of heart
failure:
Acute systolic congestive heart failure
Acute systolic and diastolic congestive heart
failure (combined)
Other explanation of clinical findings (please
specify) ______________
Example #5:
Uncertainty of a cause-and-effect relationship
between related conditions
Clinical Indicators: H&P (dated xx/xx) states
lung cancer with bone metastasis, undergoing
chemotherapy. Pancytopenia was documented on
progress note (dated xx/xx.)
Please clarify etiology of pancytopenia:
Pancytopenia due to chemotherapy
Pancytopenia due to other cause (please
specify): __________
Pancytopenia, etiology unknown
Example #4:
Medical diagnosis that is clinically evident
Clinical Indicators: Respiratory therapy (dated xx/
xx) notes continuous home O2 at 2L/min, which
was continued this admission. H&P (dated xx/xx)
indicates history of COPD, GOLD stage 4.
Please clarify the baseline respiratory function:
Chronic respiratory failure
Chronic respiratory insufficiency
Other explanation of clinical findings (please
specify) __________
Appendix B: AHIMA and ACDIS Resources
AHIMA Resources
AHIMA Inpatient Query Toolkit
AHIMA Outpatient Query Toolkit
Clinical Documentation Integrity (CDI) Toolkit Beginners’ Guide (ahima.org)
Clinical Validation: The Next Level of CDI (January 2019 Update)
Example #2:
Documentation in the present and prior health
record provides evidence to support the presence
of a condition
Clinical Indicators:
Documentation in the progress note mm/dd/year
indicates renal dosing applied to Metronidazole
dosing. Current H&P mm/dd/year states CKD
but no stage is documented, Previous encounter
discharge summary (dated xx/xx) documents CKD
stage 4, Trending eGFR (dates x/xx, x/xx, x/xx)
ranging 17-20 mL/min.
Please clarify the staging of the CKD:
CKD, stage 4
Other explanation of clinical findings (please
specify)
Clinically undetermined
14
ACDIS Resources
ACDIS Code of Ethics
Clinical Validation and the Role of the CDI Professional
Queries in Outpatient CDI: Developing a Compliant,
Effective Process
Authors
Sheri Blanchard RN, MSN, FNP/BC, CCDS, CCS
Sharme Brodie, RN, CCDS, CCDS-O, CRC
Karen Carr MS, BSN, RN,CCDS, CDIP
Tammy Combs RN, MSN, CDIP, CCS, CNE
Keisha Downes BSN, RN ,CCDS,CCS
Dorene Hughes MSN, RN, CCDS, CDIP, ACHS
Carole Liebner, RHIT, CDIP, CCS
Kay Piper, RHIA, CDIP, CCS
Melissa Potts, RN, BSN, CCDS, CDIP
Laurie Prescott RN, MSN, CCDS, CCDS-O, CDIP, CRC
Acknowledgements
Roberta B. Baranda
Sandra Brightwell, EdD, RHIA, FAHIMA
Patty Buttner, MBA/HCM, RHIA, CHDA, CDIP, CPHI,
CCS
Angela Campbell, MSHI, RHIA, FAHIMA
Deb Clark, BA, RN, GERO-BC, CCDS,
Gretchen Catlett, RHIA, CHPS, HCISPP
Neeraja Chavakula MD, MBA, MPH, CCDS, CCS, CDIP
Brandi Durkin, RHIA
Cheryl Ericson MS, RN, CDIP, CCDS
Julie Engelland, RHIT, CCS, CIC
Maggie Foley PhD, RHIA, CCS
Susan L Foster, RHIA, CHPS
Sally Gibbs
Heidi Hillstrom, MS, MBA, MSN, RN, PHN, CCDS, CCS,
CDIP
Erin Holthusen
Shannon Houser, PhD, MPH, RHIA, FAHIMA
Faisal Hussain, MD, MHIIM, RHIA, CCDS, CDIP, CCS
Stacey Jackson MHL, RN CCDS
Rachel Jorgensen, RHIA
Melissa Koehler, MBA, RHIA, CHDA, CDIP, CCS, CCS-P,
CCDS, CRCR
Katherine Kozlowski RHIA, CDIP, CCS
Regina Kraus, CDIP, RHIA, BCSC
Monica Leach
Sharon Lewis
Tunde Oyefeso
Christina Merle, MS, RHIA,CCS, CDIP, CCDS, CRC
Melany Merryman
Chinedum Mogbo, MBBS, MBA , MsHIM, RHIA,
CCDS,CDIP,CCS
Sue Nathe, RHIT
Heidi Neely, CCS
Shirlivia Parker, RHIA, CDIP, MHA
Robin Poole, RHIA, CRCR
Autumn Reiter, MBA, BSN, RN, CCDS, CCDS-O, CDIP,
CCS
Reba Sanders
Gina Sanvik MS, RHIA, CCS, CCS-P
Kimberly Seery, RHIA, CCS, CDIP, CHDA, CPC, CRC
Robyn Stambaugh, MS, RHIA,CHPS
Rebecca Stroh BSN, RN, CCDS
Kelly Sutton, RN MHL, BSN, CCDS, CCS
Vivian Thomas
Martha Tokos MHI, CPC, CPC-I, CRC, CPMA, CCS-P,
CDIP, CCDS-O
Vickie Olson
Susan Wallace Med., RHIA, CCS, CDIP, CCDS, FAHIMA
Clarice Warner RHIA, CCS-P, CPC, CHC
Lena N Wilson, MHI, RHIA, CCS, CCDS
Nicole Van Andel, MS RHIA CHPS, CHDA
Anny Pang Yuen, RHIA, CCS, CCDS, CDIP
Melissa Zavadil, RHIT, CCS, CPMA, CRC, COC-
Vaughn Matacale, MD, CCDS
Guidelines for Achieving Compliant
Query Practice © 2022 AHIMA and ACDIS
15
Questions and Answers Regarding the Industry Practice
Brief Guidelines for Achieving a Compliant Query
Practice
Question:
The Practice Brief uses the term “query professional” with the definition of:
Those who use the query to pose questions to resolve documentation issues and/or those who have oversight
and/or involvement in the query process. QP include coding professionals, CDI professionals, physician/provider
advisors, and all professionals who initiate communication that meets the definition of a query to clarify clinical
documentation.
This direction appears to apply to other roles such as utilization review or quality reporting. Are you stating that
CDI or coding professionals are to “police” the query activities of other departments when they are seeking
documentation clarifications?
Answer:
The writers of the brief wished to draw attention to the fact many disciplines work with providers to clarify
documentation with a goal of accuracy and/or code assignment. Such roles include those in utilization review,
quality reporting and physician advisors. If their activities fit the definition of query, the Guidelines for Achieving a
Compliant Query Practice should apply.
We do not feel that those in the role of CDI/coding should be the “query police” but do suggest that organizational
compliance departments apply the guidance in evaluating such communications and identifying those for which
the guideline should apply. Individuals who perform functions that meet the definition of a query should receive
ongoing guidance and education related to compliant practice and processes to audit for compliance should be
implemented.
Question:
Is it allowable to include definitions within a query? For instance, a query for afib specification including
definitions for the type of atrial fib? Or a query for CKD staging including the ranges of stage differentiation?
Answer:
Including such information on a query is common. This practice allows providers ease in access to organizationally
developed diagnostic criteria or industry evidence-based guidelines. This practice is not thought to be leading. The
information should be provided without any indication of choice, meaning the information should not highlight, bold,
or indicate a desired answer.
Question:
On page 3, citing when a query may be needed the brief states:
To clarify a diagnosis on an ancillary note that has been signed but not addressed by a provider. For example,
if the nutrition note states, ‘severe malnutrition’ and the note is signed by the provider, but the provider does not
address the diagnosis within their documentation”.
16
We went on electronic records to reduce providers’ documentation of burden, yet this guideline is stating we
need to query as if the physician signature is not valid. — Does this mean we are saying the co-signature on
other documents should be considered invalid?
Answer:
AHA Coding Clinic, First Quarter 2020, page 4 indicates that organizations should develop a policy to address when
to code from documentation that is signed by a physician.
The Practice Brief states that “Queries may be necessary” in describing the example illustrated in the question
above. Best practice is for providers to incorporate query answers within their documentation, speaking to the
significance and relevance of diagnoses described. If there is any question as to the meaning of the providers co-
signature, a query is likely needed.
Organizations are encouraged to develop facility-based policies related to this issue.
Question:
Is the diagnostic statement on a query alone good enough to be able to code or does the diagnosis need to be
stated elsewhere? What about retro-queries?
Answer:
The purpose of a provider query is to seek clarification of an otherwise unclear record. In order for the query
response to be utilized to support code assignment, the query and response must be incorporated as part of the
health record; otherwise the provider must incorporate the answer within their documentation (progress notes,
discharge summary, etc.) or apply an addendum to the existing health record if the query is applied retrospectively.
Organizations should have a policy in place to define approved locations for query responses.
Section III of the Official Guidelines for Coding and Reporting states:
For reporting purposes, the definition for “other diagnoses” is interpreted as additional conditions that
affect patient care in terms of requiring:
clinical evaluation;
or therapeutic treatment;
or diagnostic procedures;
or extended length of hospital stay;
or increased nursing care and/or monitoring.
The UHDDS item #11-b defines Other Diagnoses as “all conditions that coexist at the time of admission, that
develop subsequently, or that affect the treatment received and/or the length of stay. Diagnoses that relate to an
earlier episode which have no bearing on the current hospital stay are to be excluded.” UHDDS definitions apply to
inpatients in acute care, short-term care, long-term care and psychiatric hospital settings. The UHDDS definitions
are used by acute care short-term hospitals to report inpatient data elements in a standardized manner. These data
elements and their definitions can be found in the July 31, 1985, Federal Register (Vol. 50, No, 147), pp. 31038-40.
There is no specific direction as to where diagnoses must be documented or how often a diagnosis must be
documented to allow it to be reported. Organizations may need to develop facility-based policies reflecting
reportability of information that is clarified only within a query response versus elsewhere in the record.
17
Question:
If a compliant query has been properly answered and authenticated by a responsible provider and is part of the
permanent health record, is it sufficient for code assignment?
Answer:
See above.
Question:
Is the use of quotation marks within a query compliant? For example, if one is pulling specific information from
the record as a direct quote when citing clinical indicators in support of a query?
Answer:
The use of quotations within the body of a query question, to identify information pulled directly from the record,
would be appropriate. For example, quoting a provider statement or a nursing assessment is compliant. All entries
of clinical indicators should be accompanied by sourcing within the medical record, allowing the provider to further
investigate their meaning if needed.
Question:
Is it compliant to highlight or bold important information or clinical criteria in a query?
Answer:
It is best practice not to highlight any information within the query that could be construed as leading, and highlighting should
never be used within the option choices of a query.
Question:
Is it ok to only use the options of “ruled in”, “ruled out, and “other” as options for a query? Would it be non-
compliant to not offer the answer “unable to determine” in this instance?
Answer:
In essence, a query to confirm a stated differential diagnosis is a “yes/no” query, asking if the aforementioned
diagnosis has been ruled in or ruled out. The brief states, “Yes/No queries should only be employed to clarify
documented diagnoses that need further specification. Yes/No queries may not be used in circumstances where only
clinical indicators of a condition are present, and the condition/diagnosis has not been documented in the health
record.” Thus, providing answers such as the diagnosis has been ruled in or, ruled out, should include “unable to
determine.
If the diagnoses you wish to “rule in” or “rule out” has not been specifically documented within the record, a multiple-
choice query would likely be the best option, which should follow the guidance within the brief related to the multiple
choice query format.
18
Question:
Regarding the General Query Guidelines: 1.h.ii. “Unable to determine”: Please elaborate on the query response.
If a consult provider, e.g., a cardiologist, made a diagnosis of NSTEMI, the attending documented elevated
troponin and on query the attending states “Unable to determine”, should the NSTEMI documented by the
cardiologist be coded?
Answer:
If the documentation between the attending and the cardiologist is thought to be conflicting, a query should be
placed for verification. If the response to the query does not provide the clarity requested the organization’s policy
for this type of discrepancy should be followed (e.g., escalation policy).
Question:
Can a query be considered “non-compliant” without being “leading”?
Answer:
Within the Practice Brief, the section entitled “Compliant Query Guidelines”, number V states:
“Queries must be accompanied by clinical indicator(s)/evidence that:
Are specific to the patient and episode of care.
Support a more complete or accurate diagnosis or procedure.
Require clinical validation of a reported diagnosis not supported by the health record — please reference the practice
brief Clinical Validation: The Next Level of CDI (January 2019 Update) to learn more about clinical validation.
May be acquired from the current or previous health record, if clinically pertinent to the present encounter (Please
reference the ‘Role of Prior Encounters in Queries” section for more information)”.
This guidance speaks to the requirements of a query related to valid clinical indicators, specific to the encounter.
If these requirements listed above are not necessarily describing differentiation of leading or non-leading queries.
Thus, a query can be considered “non-compliant” without being leading.
Question:
If a coder or other query professional finds that a query is non-compliant because it contains indicators or
treatment for a different condition but the provider has signed it anyway to avoid issues, what course of action
do you take?
Answer:
Each organization should create well-defined escalation policies that guide individuals as to how to address and
communicate circumstances in which queries are identified as being potentially non-compliant.
Question:
Should an option be provided, that allows the provider to identify their impression the query is unnecessary?
Answer:
The option of “other, please specify” allows the provider an opportunity to clarify their disagreement or impression
of necessity related to the intent of the query. Organizations may also choose to include options such as “no further
clarification is needed” to track this occurrence. A policy should be in place to address this type of concern.
19
Question:
For prospective chart reviews that are not associated with any encounter and are not querying providers to
make changes to past encounters, do the query guidelines apply?
Answer:
Yes, all queries should follow the same guidelines.
Because of the shortened time of an outpatient encounter, a concurrent review may not be practical. The need for
query may be based off current and previous documentation, the problem list, and any diagnostic data available
knowing a query should not be asked unless it is relevant to the planned encounter. Such queries should be crafted
with the guidance of the practice brief.
Question:
The General Query Guidelines, section P states:
“Present only the documentation or data from the health record, without subjective interpretation from the
query professional, identifying why the clarification is required.
What does “subjective interpretation by the query professional” mean?
Answer:
The query professional should not be inserting diagnoses or offer their own interpretation or wording into the body
of the query question that has not yet been identified. For example, if the documentation indicates a heart rate
of 120, the clinical indicator should not state “tachycardia” or if the hemoglobin is reported at 10 g/dL, the query
professional should not write “anemia” as a clinical indicator within the body of the query.
Question:
Within the section “Role of Prior Encounters in Queries”, the Practice Brief states:
This process reinforces the accuracy of information across the healthcare continuum. However, it is
inappropriate to mine a previous encounters documentation to generate queries not related to the current
encounter.
What is meant by the word “mine”?
Answer:
The goal of this statement is to guide query professionals as to when it is appropriate to source clinical indicators
from previous encounters. The process of mining is when one consults health information from prior encounters
without any guiding reason or focus, just reviewing to identify diagnoseis or condition specificity that is not related to
the present encounter.
Organizations should develop policies related to when and for what reasons prior encounters can be reviewed, to
include how old the records should be.
20
Addendum
Addressing Feedback Related to Denial Trends
Denial trends have indicated that payers have been challenging diagnoses obtained through query by questioning
query compliance. These challenges should be evaluated to ensure they reflect compliance versus best practice.
Coding Guidelines and AHA Coding Clinic guidance consistently state that when the documentation is unclear,
the provider should be queried. Provider queries are a necessity, allowing both CDI and coding professionals to
effectively clarify the health record and to capture appropriate patient complexity and reimbursement for resources
provided.
The Guidelines for Achieving a Compliant Query Practice, published jointly by AHIMA and ACDIS in 2022, provides
best practices for query professionals to produce compliant provider queries. The writers encourage organizations
to draft query policies and practices based upon this guidance, thereby supporting a compliant query process.
These policies should be agreed upon within the contracting process, and they should be used to evaluate query
compliance and defend that compliance when challenged. Both entities , healthcare organizations and payers
should hold each other responsible for following these policies when writing and evaluating queries.