9.3 Assessing Stakeholder Learning Needs & Specialty Curricula

AHIMA Certified Documentation Integrity Practitioner CDIP

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1 Chapter 1: Authoritative Coding Resources & Conventions

1.1 Official Coding Resources: Scope, Authority & Research 1.2 General Coding Conventions, Punctuation & Instructional Notes 1.3 Chapter-Specific and Setting-Specific Coding Guidelines

2 Chapter 2: Principal & Secondary Diagnosis Determination

2.1 UHDDS Definitions & Principal Diagnosis Selection 2.2 Two or More Diagnoses Equally Meeting Criteria 2.3 Secondary Diagnosis Reporting Standards & POA Status

3 Chapter 3: Procedure Coding & Sequencing Standards

3.1 ICD-10-PCS Root Operations & Inpatient Procedure Coding 3.2 Principal Procedure Selection & Surgical Sequencing 3.3 Applying Official References to Ambiguous Records

4 Chapter 4: Inpatient Prospective Payment & DRG Grouping

4.1 MS-DRG Logic, CC/MCC Exclusions & Severity Levels 4.2 Working vs. Final DRG Assignment & Optimization vs. Maximization 4.3 CDI-Coding Reconciliation & Annual Regulatory Updates

5 Chapter 5: Enterprise CDI Promotion & Program Value

5.1 Articulating CDI Value to C-Suite & Hospital Leadership 5.2 Organizational Models, Inpatient/Outpatient Scope & Staffing 5.3 Cross-Functional Collaboration: HIM, Quality & Case Management

6 Chapter 6: Cross-Functional Alignment & Improvement Projects

6.1 Partnering with Nursing, Pharmacy & Allied Health Professionals 6.2 Documentation Improvement Project Identification & Scoping 6.3 Executing, Piloting & Measuring CDI Project Outcomes

7 Chapter 7: Physician Champion Engagement & Clinical Advocacy

7.1 Selection, Role & Credibility of the CDI Physician Champion 7.2 Peer-to-Peer Engagement, Coaching & Overcoming Resistance 7.3 Developing Standard CDI Operational Policies & Procedures

8 Chapter 8: Compliant Policy Architecture & Query Governance

8.1 AHIMA/ACDIS Practice Brief Standards in Policy Construction 8.2 Medical Record Integration of Provider Query Responses 8.3 Policies for Electronic, Paper, and Verbal Query Communications

9 Chapter 9: Query Escalation & Professional Communication

9.1 Chain of Command & Protocols for Unanswered Queries 9.2 Conflict Resolution & Professional Feedback Mechanisms 9.3 Assessing Stakeholder Learning Needs & Specialty Curricula

10 Chapter 10: Educational Delivery & Broader Healthcare Impacts

10.1 Delivery Methods: Microlearning, Case Studies & Grand Rounds 10.2 Documentation Impacts on Clinical Research & Epidemiology 10.3 Documentation Impacts on Case Management, LOS & Reimbursement

11 Chapter 11: Clinical Record Synthesis & Encounter Trajectory

11.1 Synthesizing Provider Notes, Consults & Progress Trajectory 11.2 Interpreting Diagnostic Imaging, Pathology & Labs 11.3 Resolving Conflicting, Ambiguous & Copy-Forward Entries

12 Chapter 12: Advanced Clinical Concepts & Review Prioritization

12.1 Pharmacotherapy, Clinical Trajectories & Disease Correlations 12.2 Inpatient Review Prioritization: High-Risk & High-Volume 12.3 Payer Prioritization, Length of Stay & Re-Review Cadence

13 Chapter 13: Clinical Indicator Mapping & Gap Recognition

13.1 Systematic Identification of Documentation Gaps 13.2 Sepsis Definitions, SEP-1, and Coding 13.3 AKI Criteria, Tubular Injury, and CKD Staging

14 Chapter 14: Diagnostic Precision in High-Impact Conditions

14.1 Respiratory Failure: Acuity, Evidence, and Sequencing 14.2 Heart Failure Phenotype, Acuity, and Hypertensive Combinations 14.3 Encephalopathy, Delirium, and Acute Cognitive Change

15 Chapter 15: Clinical Validation & Complication Discrepancies

15.1 Malnutrition Assessment, Severity, and Provider Documentation 15.2 Principles of a Compliant, Nonleading Query 15.3 Open-Ended, Multiple-Choice, and Yes/No Queries

16 Chapter 16: Query Mechanics & Direct Provider Collaboration

16.1 Electronic Query Systems, Templates, and Technology Oversight 16.2 Collaborating With the Appropriate Query Recipient 16.3 Capturing and Clarifying Query Responses

17 Chapter 17: Quality Indicators & Post-Discharge Clarification

17.1 Present on Admission Clarification and Selected HAC Rules 17.2 Clarifying Acuity, Cause, Site and Severity 17.3 Post-Discharge Query Opportunities and Limits 17.4 Managing Post-Discharge Query Workflows

18 Chapter 18: CDI Operational Dashboards & Quality Auditing

18.1 Departmental Metrics: Definitions, Calculations and Dashboard Use 18.2 Internal CDI Quality Audits and Reviewer Calibration 18.3 Query Trends: Understanding the Process and Provider Experience

19 Chapter 19: Benchmarking, Productivity & Data-Driven Workflow

19.1 Provider Documentation Benchmarking 19.2 External Benchmarking: CMI, Severity, Mortality and Length of Stay 19.3 Evaluating CDI Professional Performance 19.4 Using Data to Design CDI Workflow and Staffing

20 Chapter 20: Ethical CDI Standards & Regulatory Frameworks

20.1 Applying AHIMA Ethics to CDI Decisions 20.2 Responding to Financial Pressure and Upcoding Risks 20.3 Maintaining Competence and Professional Integrity

21 Chapter 21: Regulatory Compliance & Enforcement Landscapes

21.1 False Claims, Overpayments and Referral Laws 21.2 Regulatory Agencies, Review Contractors and Appeals 21.3 EHR Templates, Copied Text and Record Integrity

22 Chapter 22: Technology Risks & Second-Level Review Protocols

22.1 CAC, NLP and AI: Context, Oversight and Performance 22.2 Selecting Cases for Second-Level Review 22.3 Conducting and Closing a Second-Level Review

23 Chapter 23: Clinical Validation Queries & Risk Mitigation

23.1 Clinical Validation and Coding Clarification 23.2 Clinical Validation Queries and Denial Evidence 23.3 Detecting Leading, Biased and Unsupported Queries

24 Chapter 24: Noncompliant Query Remediation & Query Lifecycle Management

24.1 Query Remediation and Corrective Action 24.2 Query Timeframes, Aging and Measurement 24.3 Query Records, Retention and Evidence Preservation

9.3 Assessing Stakeholder Learning Needs & Specialty Curricula

Key Takeaways Explain This Topic AI

Investigate the actual performance gap before choosing training; workflow, access, staffing, and template problems may need other solutions.

Combine reviewed query, denial, reconciliation, audit, and learner evidence; none independently proves a diagnosis or the cause of a gap.

Prioritize using transparent sample definitions, counts, rates, severity, and feasibility rather than a presumed universal 80/20 distribution.

Tailor the task and examples to the audience while verifying clinical evidence and classification rules as separate source tracks.

Write observable learning objectives, design matching assessments, pilot the material, and evaluate accurate workplace application.

Last updated: October 2026

Assessing Learning Needs and Planning a Relevant Curriculum

An educational needs assessment asks what people need to do, what is happening now, and why a gap exists. It should precede the choice of a lecture, pocket card, or online module. A documentation problem may reflect missing knowledge, a confusing process, an inaccessible inbox, an incorrect template, or inadequate time and coverage. Education is useful when learning can address the cause; a class alone will not repair a broken delivery route.

CDC’s training needs guidance provides a practical planning framework: gather relevant information, identify causes with the affected participants, and determine whether training is an appropriate solution. Its Quality Training Standards apply as a CDC benchmark, not as a federal requirement that every hospital CDI class receive CDC approval. The following workflow applies those planning principles to CDI.

Define the Question and the Audience

Start with an observable problem. “Improve all physician documentation” is too broad to guide case selection or evaluation. “Determine why the discharge diagnosis remains inconsistent with the final consultant assessment in reviewed records” identifies a task that can be investigated. Specify the setting, staff roles, record types, review period, and evidence needed to establish the gap.

Include the people who perform the work. A resident, attending, advanced practice provider, coder, case manager, and CDI specialist may encounter different parts of the same problem. Ask where responsibility changes, what information is available at that point, and what would make the next step reliable. Learners’ practical access, schedules, existing knowledge, and preferred opportunities for practice inform the plan; job title alone does not establish what they need to learn.

Combine Evidence Rather Than Trust One Signal

Evidence source What it can help reveal What it does not establish alone

Reviewed query records Repeated terminology questions, routing failures, unclear responses Every queried condition was clinically present

Denial and appeal records Stated payer reasons and recurring documentation disputes The payer’s clinical or coding interpretation was correct

Working/final coding reconciliation Reasons for differences between provisional and final classification The original working DRG was the correct target

Record audits Whether the intended documentation behavior is actually present A causal explanation without further investigation

Interviews or surveys Workflow barriers and confusing instructions Their frequency across all encounters without suitable data

Use exact, reviewed examples. A denial described as “unsupported diagnosis” may involve conflicting documentation, a payer-specific policy, or an appealable interpretation. Verify the underlying facts and applicable authority before turning the denial letter into a clinical teaching rule. Similarly, an authenticated query response can support coding without repeated documentation elsewhere; do not teach duplication merely because an internal export failed to locate it.

Prioritize With Transparent Counts and Denominators

An illustrative review classifies 50 query-related issues as 28 acuity questions, 12 routing problems, six duplicate requests, and four other issues. Acuity questions account for 28 / 50 = 56% of this group. Rank the categories, review severity and consequences, and decide which causes can be addressed. A Pareto chart can display the distribution; it does not prove that 20% of conditions always cause 80% of queries.

These counts describe issues in this reviewed sample. They are not rates per discharge, and one encounter might have more than one issue unless the method prevents it. A service with more complex cases or more intensive review may generate more queries without having worse documentation. For comparisons, define the relevant eligible encounters and calculate a rate using the same method before and after an intervention.

Priorities should reflect both frequency and potential harm. A rare but important ambiguity in an operative report may deserve attention even when its count is below a common routing problem. Document the selection rationale and assign the technical fix to its responsible owner rather than adding every problem to the education agenda.

Build Specialty Content Around Verified Tasks

Tailor examples to the work while preserving the same standards of neutrality and evidence. Specialty relevance does not mean teaching every member of a discipline the same diagnosis list or guaranteeing that one format is superior.

Audience and example task Useful curriculum focus Source and interpretation safeguard

Hospital medicine: describe a diagnostic conclusion and its uncertainty Distinguish symptoms, established diagnoses, unresolved causes, acuity, and relevant relationships Verify current clinical evidence separately from coding rules; a treatment or test value does not independently assign a diagnosis

Critical care: explain a procedure and its timing Capture the actual service, anatomy, approach, device, and relevant start/stop events Verify the applicable procedure classification and payment definition rather than assuming all duration thresholds coincide

Surgery: explain an event during or after care Clarify the condition, relationship to care, and clinical significance I.B.16 does not require the literal word “complication”; classification instructions and the record govern

Cardiology: reconcile evolving descriptions Communicate the provider’s final interpretation and meaningful specificity Do not infer a diagnosis or phenotype solely from a number or medication

Trainees and rotating staff: maintain an accurate record Reconcile copied statements, current assessments, unresolved findings, and discharge communication Teach verification of carried-forward text and the actual local responsibility for updates

Clinical criteria belong in a reviewed clinical lesson with the framework’s population, date, limitations, and purpose stated. A payer’s preferred threshold is not automatically a universal diagnostic definition. Coding conventions answer a different question: how to classify supported documentation. Keep the two source tracks visible when preparing a lesson on respiratory failure, sepsis, kidney injury, malnutrition, or another diagnosis.

Turn the Gap Into a Measurable Objective

A useful objective names the learner, the task, the conditions, the expected performance, and the timeframe. For example: “By the end of the workshop, given three fictional discharge records and the applicable guidance, participants will identify the unresolved conflict and select an appropriate clarification step in all three.” The numbers describe this illustrative course, not a national passing standard.

Build the exercise and scoring criteria at the same time. If the objective concerns recognizing a conflict, assess that skill rather than recall of a reimbursement weight. Include cases where no query is needed and cases where a proposed query should be corrected. A curriculum that rewards only adding diagnoses can reinforce the wrong behavior even when knowledge scores rise.

Test the Plan Before Expanding It

Ask a clinical subject matter expert and the relevant coding or compliance specialist to review the material within their areas of expertise. Check source applicability, edition, examples, and answer keys. A clinician’s review of pathophysiology does not substitute for checking an official coding instruction. Pilot the material with intended learners and revise confusing wording or inaccessible delivery.

Record who will maintain the lesson and what changes should trigger another review. Evaluate both whether learners can perform the task and whether later records show the intended behavior. A decrease in queries may be useful evidence, but it can also reflect fewer reviews or an altered query threshold. Interpret it alongside consistent record sampling and measures of accuracy. The outcome of needs assessment is a defensible plan with a clear task and evaluation method, not merely a calendar of presentations.

Source anchors: CDC training needs analysis ; CDC learning objectives ; FY 2027 ICD-10-CM guidelines, I.A.19, I.B.14, and I.B.16 ; 2026 query practice brief .