Electronic Health Records and Coding: Practical Workflow, Data Quality, and Reimbursement

6.3.1 Create and update documents within the electronic health record (EHR) and electronic health systems

An electronic health record (EHR) is the digital version of a patient’s clinical chart—notes, orders, results, medications, allergies, problem list, and more—stored in a system designed to support care delivery over time. Creating and updating EHR documents means you’re not just “typing notes”; you’re generating legal, clinical, and billing evidence of what happened, why it happened, and what the plan is.

What you create in an EHR (and why it matters)

Common document types include progress notes (often in SOAP format: Subjective, Objective, Assessment, Plan), triage notes, nursing notes, procedure notes, medication administration records (MAR), orders, discharge summaries, care plans, referrals, and consent forms. These documents matter because:

• Clinically, they coordinate care across teams and settings.
• Legally, they create a defensible record of decision-making.
• Financially, they support coding and reimbursement.

How document creation typically works

Most EHRs use combinations of free-text, structured fields, and templates. A safe workflow usually looks like this:

1. Select the correct patient encounter (right patient, right date, right setting).
2. Choose the right document type (e.g., “progress note” vs “telephone encounter”).
3. Enter data using structured fields when available (vitals, allergies, problem list)—these fields drive decision support and reporting.
4. Narrative where needed to explain clinical reasoning, patient context, and exceptions.
5. Review for accuracy (especially auto-populated content like medication lists or copied text).
6. Sign/submit according to your role—signing typically finalizes the entry and applies authentication.

Examples (showing it in action)

• If a patient calls with worsening shortness of breath, documenting it as a “telephone encounter” with disposition instructions is different than adding it to an unrelated office visit note.
• When updating a medication list, the safest approach is medication reconciliation: confirm what the patient is actually taking, document changes, and indicate sources (patient report, pharmacy history, discharge list).

What goes wrong (common pitfalls)

A major error is copy-forward/copy-paste that carries outdated findings into today’s note (e.g., a “normal lung exam” copied into a visit for asthma exacerbation). Another is charting in the wrong encounter, which can mislead future care and trigger privacy issues if information ends up in the wrong chart.

Exam Focus

• Typical question patterns:
  • Identify which EHR document type fits a scenario (progress note vs order vs discharge instruction).
  • Distinguish structured data entry from free-text and explain the impact on reporting/quality.
  • Choose the safest workflow steps to avoid wrong-patient or wrong-encounter documentation.
• Common mistakes:
  • Treating templates/auto-populated text as automatically correct—always verify.
  • Confusing “saving a draft” with “signing” (authentication and legal finalization usually require signing).

6.3.2 Locate and retrieve information in the electronic medical/health record and other sources

Retrieval skills are about finding the right information quickly and reliably—especially under time pressure. In an EHR, the same clinical fact can appear in multiple places (problem list, note text, discharge summary, billing diagnoses), and not all are equally trustworthy or current.

How EHR information is organized

Most systems separate information into modules/tabs such as:

• Chart review (timeline of notes, results, documents)
• Results (labs, imaging, pathology)
• Medication list and MAR
• Allergies/adverse reactions
• Problem list (active/chronic conditions)
• Orders (pending/completed)
• Flowsheets (trended vitals, intake/output)

Knowing where data originates matters. For example, the MAR shows what was administered, while the medication list may include home meds that were never given inpatient.

A practical retrieval approach

1. Start with the clinical question (e.g., “What was the last potassium?”).
2. Go to the highest-reliability source (lab results with timestamp/reference range).
3. Confirm date/time and whether it’s preliminary vs final.
4. Look for trends, not single values (flowsheets/graphs are useful).
5. Cross-check when needed (a note might mention an outside result not yet in the results tab).

Other sources beyond the EHR

Depending on setting, you may also use:

• Health information exchanges (HIEs) (where available)
• Pharmacy fill histories
• Outside facility records (faxed/scanned)
• Patient-provided documents
• Device portals (home glucose/BP uploads)

What goes wrong

A frequent mistake is relying on a problem list that hasn’t been updated (e.g., “rule-out” diagnoses left active). Another is missing critical “hidden” documents because they were misfiled or scanned under the wrong document type.

Exam Focus

• Typical question patterns:
  • Given a scenario, choose where in the EHR to find the most reliable information (MAR vs med list; labs vs note).
  • Interpret timelines and identify the most recent verified result.
  • Explain why cross-checking sources prevents errors.
• Common mistakes:
  • Confusing “ordered” with “resulted” (an order does not mean it was completed).
  • Ignoring timestamps and pulling outdated values.

6.3.3 Input and use health information applying management principles to ensure quality, compliance, and integrity

Health information management is about making data usable and trustworthy. Data quality is not just “no typos”—it includes completeness, consistency, and appropriateness for clinical and administrative use.

Core management principles for health data

• Quality: data should be accurate, complete, consistent, and usable.
• Compliance: follow applicable laws, regulations, and organizational policies (in the U.S., this commonly includes HIPAA privacy/security practices).
• Integrity: the record should be protected from improper alteration and should reflect what truly occurred.

How quality and integrity are supported in practice

EHRs use structured fields, required fields, alerts, and standardized vocabularies to reduce ambiguity. Good practice includes:

• Using standardized options when available (drop-downs for immunizations, coded allergies).
• Avoiding “workarounds” that bypass required documentation.
• Documenting source when information is patient-reported vs clinically measured.

Example: structured vs narrative entry

If you enter “penicillin allergy” as free-text in a note but never update the allergy module, decision support may fail to warn about a related antibiotic order. Conversely, accurately entering it into the allergy field triggers safety checks.

What goes wrong

Over-documentation can harm integrity too—adding irrelevant copied history makes it harder to find what matters and can create contradictions.

Exam Focus

• Typical question patterns:
  • Decide which entry method best supports quality reporting (structured field vs note text).
  • Identify actions that maintain integrity (audit trails, appropriate corrections, standardized workflows).
  • Recognize compliance risks (sharing passwords, accessing charts without a care-related reason).
• Common mistakes:
  • Assuming “more documentation” always means “better documentation.”
  • Putting key safety data (allergies, meds) only in narrative notes.

6.3.4 Apply methods to ensure authenticity, timeliness, and accuracy of health data entries

Three qualities protect patients and organizations:

• Authenticity: you can prove who documented the entry.
• Timeliness: documentation happens as close to the event as policy requires.
• Accuracy: the content correctly reflects observations, actions, and clinical reasoning.

How authenticity is established

Most EHRs rely on unique user accounts, role-based access, and electronic signatures. Behind the scenes, systems typically maintain audit trails that record who accessed or changed information and when.

Timeliness in real workflows

Timely documentation supports handoffs and reduces memory-based errors. Common policies require documenting interventions soon after they occur (exact timing requirements vary by organization and setting). When late entries are allowed, they should be clearly labeled as late and reflect the actual time of the event, not the time of writing.

Accuracy and corrections (amendments vs deletions)

A key concept is that you generally should not “erase history.” Instead:

• Use an addendum or correction function to clarify mistakes.
• Preserve the original entry when policy requires (so the record shows what changed).

Example: correcting an error safely

If you documented “left arm” but the procedure was on the right arm, the correct action is to follow the EHR’s correction workflow—enter a correction that specifies what was wrong, what is correct, and why—rather than simply overwriting without trace.

What goes wrong

A classic integrity problem is “backdating” to make documentation appear timely. Even if intentions are good, it undermines trust and may violate policy.

Exam Focus

• Typical question patterns:
  • Choose the correct method to fix an error (addendum/correction vs delete).
  • Explain how audit trails and electronic signatures support authenticity.
  • Identify best practices for late entries.
• Common mistakes:
  • Thinking accuracy is only spelling/grammar; accuracy includes clinical meaning and correct patient/context.
  • Assuming you can freely edit a signed note without a trace.

6.3.5 Document scope of practice information in an electronic health/medical record

Scope of practice is the set of tasks and decisions you are legally and professionally allowed to perform based on your role, education, and licensure/certification. In documentation, scope of practice matters because the record must clearly show who did what—and must not suggest you performed assessments or made diagnoses outside your role.

How scope shows up in the chart

Your documentation should:

• Reflect your role (e.g., student, medical assistant, nurse, technician).
• Describe what you observed and did (objective actions) rather than labeling diagnoses you are not authorized to make.
• Capture who you notified and when, if escalation is needed.

Example: appropriate wording

• Within scope: “Patient reports chest tightness rated 7/10. Vital signs obtained. Provider notified at 14:10.”
• Potentially outside scope (depending on role): “Patient is having a myocardial infarction.”

What goes wrong

Students often confuse “clinical interpretation” with “documentation of facts.” You can document symptoms, measurements, and patient statements; diagnostic conclusions must align with your authorized role and the organization’s policy.

Exam Focus

• Typical question patterns:
  • Identify documentation that is appropriate vs outside scope.
  • Choose wording that documents escalation (who was notified, response).
  • Recognize how role-based permissions in the EHR reflect scope.
• Common mistakes:
  • Charting a diagnosis when you should chart symptoms/findings.
  • Failing to document communication/escalation when abnormal findings occur.

6.3.6 Access and apply reference material available through an EHR or other reference system

Modern EHRs are not just storage—they often embed clinical decision support (CDS) and reference tools that help you apply evidence-based care safely.

Common reference resources

Depending on the system and setting, you may have links to:

• Drug information (dosing ranges, contraindications)
• Interaction checkers (drug–drug, drug–allergy)
• Order sets and clinical pathways
• Lab reference ranges and interpretive comments
• Patient education handouts (multilingual materials)

How to use references safely

Reference tools are aids, not substitutes for judgment. A good approach is:

1. Identify your question (e.g., “Is this dose appropriate for renal impairment?”).
2. Use the embedded reference to check parameters (dose, frequency, age/weight, renal/hepatic cautions).
3. Document or communicate findings per policy when a safety concern is identified.

Example: preventing a medication error

If the EHR flags a potential interaction, you should verify whether it’s clinically relevant (dose, timing, patient factors) and escalate appropriately—rather than blindly overriding alerts.

What goes wrong

Two extremes cause errors: alert fatigue (overriding everything) and automation bias (trusting the system even when it’s wrong or incomplete). Both are prevented by thoughtful verification.

Exam Focus

• Typical question patterns:
  • Interpret a CDS alert and choose the appropriate next step.
  • Identify which reference tool answers a given question (drug database vs lab reference vs patient education).
  • Explain how reference material supports patient-centered care (education, shared decisions).
• Common mistakes:
  • Overriding alerts without checking patient-specific factors.
  • Assuming reference ranges are identical across all labs/settings (they can vary).

6.3.7 Resolve minor technology problems associated with using an electronic health/medical record

You don’t need to be IT to handle common EHR issues. “Minor technology problems” typically means first-line troubleshooting that keeps care moving while protecting patient data.

Common minor problems and first responses

• Can’t log in: verify username, password rules, caps lock, account lockout; use approved reset process.
• System running slowly: close unnecessary sessions, check network connection, try a different workstation if allowed, report outage patterns.
• Printer/scanner issues: confirm device selected, paper/toner, connections; retry and document if printing is required for consent/discharge.
• Missing results/documents: refresh, verify correct encounter/date filter, check if result is still pending or filed under a different document type.

Downtime procedures (why they matter)

Most organizations have downtime workflows (paper forms, later scanning/entry). The key is to preserve continuity and later reconcile documentation accurately—especially medication administration and orders.

What goes wrong

A major safety risk is creating “shadow records” (notes kept on personal devices or unofficial documents) that never make it into the legal chart.

Exam Focus

• Typical question patterns:
  • Choose the safest troubleshooting step that maintains privacy/security.
  • Identify when to escalate to help desk/IT vs when to use downtime procedures.
  • Recognize actions that create compliance risk (saving PHI to an unapproved location).
• Common mistakes:
  • Sharing logins when someone can’t access the system.
  • Continuing care documentation on unofficial notes and forgetting to reconcile later.

6.3.8 Follow access protocols for entry to an electronic health/medical record

Access protocols are the rules that determine who may enter an EHR, what they may do, and under what circumstances. These protocols exist to protect confidentiality, prevent inappropriate changes, and ensure accountability.

Key access concepts

• Unique user credentials: each person has their own login—no sharing.
• Role-based access control (RBAC): your job role determines what you can see and do.
• Minimum necessary: access only what you need for your task.
• Session security: log out/lock screens; don’t leave charts open.
• “Break-the-glass” emergency access may exist in some systems and is typically audited.

Example: appropriate vs inappropriate access

Appropriate: opening the chart of a patient you are assigned to room or care for.
Inappropriate: looking up a family member, coworker, or celebrity “just to see,” even if you don’t share the information.

What goes wrong

People often underestimate that access itself can be a violation even without disclosure. Audit logs can reveal inappropriate chart access.

Exam Focus

• Typical question patterns:
  • Determine whether a scenario is permissible access under policy.
  • Identify security steps (locking workstation, not saving passwords).
  • Explain why audit trails change behavior and support accountability.
• Common mistakes:
  • Thinking “I didn’t share it” means it isn’t a violation.
  • Using someone else’s login to “save time,” which destroys accountability.

6.3.9 Manage documents within the electronic health/medical record using standard protocol

Document management is the behind-the-scenes organization that makes records findable, complete, and legally reliable. This includes naming, indexing, versioning, and retention practices.

What “managing documents” involves

• Indexing: filing a document under the correct patient, encounter, date, and document type.
• Version control: ensuring amendments/addenda are linked appropriately and prior versions aren’t invisibly overwritten.
• Finalization: tracking unsigned notes, missing signatures, or incomplete documentation (“deficiencies”).
• Retention and storage: following organizational and legal requirements for how long records are kept (requirements vary by jurisdiction and record type).

Example: scanning and indexing

If an outside operative report is scanned into the EHR, it must be labeled correctly (e.g., “Operative report,” correct date of service) so clinicians can find it and coders can use it. Mislabeling it as “miscellaneous” can effectively hide critical information.

What goes wrong

Misfiled documents create clinical risk (missed allergies, missed critical results) and reimbursement risk (missing documentation to support codes).

Exam Focus

• Typical question patterns:
  • Identify correct indexing/document type choices in a scenario.
  • Explain why version control and addenda protect integrity.
  • Recognize downstream impact (clinical + coding) of document management errors.
• Common mistakes:
  • Uploading to the wrong patient/encounter.
  • Treating scanning as “just uploading” rather than a controlled indexing process.

6.3.10 Complete health information management (HIM) functions in paper or electronic environments

Health Information Management (HIM) functions keep the record complete, accurate, accessible, and appropriately shared. Even in fully digital settings, HIM workflows still exist—they’re just embedded in electronic processes.

Key HIM functions and how they work

• Scanning: converting paper documents (consents, outside records) into indexed EHR documents; requires quality checks (legibility, completeness).
• Transcription: converting dictated notes into text; may be done by transcriptionists or automated tools.
• Voice recognition: software converts speech to text; requires careful editing because misrecognitions can change meaning (e.g., medication names).
• Release of information (ROI): providing records to patients, insurers, or other entities with proper authorization and documentation.

Paper vs electronic environment

In paper systems, HIM focuses on chart assembly, filing, and physical security. In electronic systems, the focus shifts to indexing, access controls, electronic workflows, and tracking deficiencies.

Example: ROI workflow (conceptual)

A typical ROI process involves verifying the requester, confirming authorization/legal basis, limiting to minimum necessary, documenting what was released, and using secure transmission methods.

What goes wrong

A common failure is releasing too much information (not minimum necessary) or releasing without valid authorization. Another is failing to correct voice recognition errors before signing a note.

Exam Focus

• Typical question patterns:
  • Match an HIM function to a scenario (scanning vs transcription vs ROI).
  • Identify safeguards for ROI (authorization, verification, documentation of disclosure).
  • Recognize risks unique to voice recognition and how to mitigate them.
• Common mistakes:
  • Assuming voice recognition output is accurate without proofreading.
  • Treating ROI as a purely administrative step instead of a compliance-sensitive workflow.

6.3.11 Perform procedural and diagnostic coding according to federal, state, and third-party payer guidelines

Medical coding translates clinical documentation into standardized codes used for reimbursement, reporting, and analytics. In the U.S., common code sets include ICD-10-CM (diagnoses), CPT (many outpatient procedures/services), and HCPCS Level II (supplies, equipment, certain services). Coding must follow payer rules (Medicare/Medicaid and commercial insurers), state requirements, and organizational policy.

Why coding is tightly rule-governed

Coding affects:

• Payment (what is reimbursed, denied, or audited)
• Medical necessity (whether the diagnosis supports the service)
• Quality metrics and public reporting
• Risk adjustment in some payment models

Because money and compliance are involved, payers may apply edits, require documentation elements, or deny claims that don’t meet policy.

How coding works (high-level process)

1. Review documentation for diagnoses, symptoms, procedures, and clinical context.
2. Assign diagnosis codes that reflect the provider’s documented diagnoses (or, in some settings, signs/symptoms when definitive diagnosis is not established).
3. Assign procedure/service codes that reflect what was performed and documented.
4. Apply modifiers (when required) to clarify circumstances (e.g., multiple procedures, professional vs technical components—modifier usage depends on code set and payer rules).
5. Check payer policies: coverage rules, bundling edits, prior authorization, place-of-service requirements.
6. Ensure code linkage: services should be supported by appropriate diagnoses and documentation.

Example: documentation drives coding

If documentation only says “lesion removed” without size, location, method, or pathology status, coders may be unable to select the correct procedure code or may have to query the provider for clarification.

What goes wrong

• Coding from what you “think happened” rather than what is documented.
• Upcoding (selecting a higher-paying code without documentation support) or undercoding (missing reportable conditions/services).
• Using a diagnosis code that doesn’t support medical necessity for the billed service, leading to denials.

Exam Focus

• Typical question patterns:
  • Identify which code set is used for diagnoses vs procedures in a given scenario.
  • Determine whether documentation supports a code selection (missing elements → query/clarify).
  • Interpret basic payer-rule scenarios (medical necessity/denial due to mismatch).
• Common mistakes:
  • Confusing diagnostic coding (ICD-10-CM) with procedural coding (CPT/HCPCS).
  • Ignoring payer-specific rules and assuming one rule fits all.

6.3.12 Complete common insurance claim forms ensuring required elements and payer compliance

A claim form is the structured way a provider asks a payer for reimbursement. Accuracy matters because even small errors (wrong ID number, wrong date of service, missing modifiers) can trigger rejections or denials.

Common claim form types (U.S.-typical)

• CMS-1500: commonly used for professional services (physician/clinic billing).
• UB-04 (CMS-1450): commonly used for facility billing (hospitals/inpatient/outpatient departments).
  Many claims are submitted electronically using standardized transaction formats, but the same data elements are still required.

How to think about claim completion (what information must “fit together”)

A clean claim usually aligns four categories:

1. Patient/subscriber information: demographics, policy numbers, coordination of benefits (when multiple payers exist).
2. Provider information: rendering/billing provider identifiers (such as NPI in U.S. settings), addresses, taxonomy/specialty as required.
3. Service details: dates of service, place of service, procedure codes, units, charges, modifiers.
4. Diagnosis/support: diagnosis codes that justify services (medical necessity) and are linked appropriately.

Example: why linkage matters

If a claim includes a procedure code for a diabetes-related service but only links a diagnosis code for an unrelated condition, a payer may deny the service as not medically necessary—even if the patient has diabetes—because the claim did not communicate it.

Payer compliance concepts

Payers may require:

• Prior authorization for certain services
• Specific modifiers
• Documentation retention in case of audit
• Timely filing (submission within a payer-defined time window)

What goes wrong

• Demographic errors (name mismatch with insurance)
• Missing/invalid subscriber ID
• Inconsistent dates (service date outside coverage period)
• Code/diagnosis mismatch or missing modifiers

Exam Focus

• Typical question patterns:
  • Identify which form is used for professional vs facility claims.
  • Spot errors that would cause claim rejection/denial (missing ID, invalid code linkages, wrong provider info).
  • Explain the difference between “rejected” (often format/data issue) vs “denied” (coverage/medical necessity/policy issue) in practical terms.
• Common mistakes:
  • Treating claim completion as just data entry rather than consistency checking across sections.
  • Forgetting that payer rules can require extra elements beyond codes (authorization, modifiers, timely filing).