Healthcare Agent StoreClinical OperationsClinical Documentation
Live

Clinical Documentation Improvement Agent

Clinical OperationsClinical Documentation

Surfaces CDI query opportunities from notes and orders to improve documentation specificity, coding accuracy, and case mix index.

4
Process steps
2
Integrations
3
Data inputs

Incomplete or non-specific documentation leaves secondary diagnoses, POA indicators, and severity of illness understated, eroding CMI and quality reporting

CDI specialists cannot manually review every chart in near real time, so query opportunities are missed until late in the stay or after coding

Clinicians receive poorly timed or low-value queries that create alert fatigue and slow response rates

The result is revenue leakage, denial exposure, and misaligned quality metrics that do not reflect true patient complexity

The Clinical Documentation Improvement Agent analyzes progress notes, H&Ps, orders, labs, and problem lists throughout the encounter to detect documentation gaps against coding and clinical criteria. It prioritizes high-impact query opportunities with suggested wording and evidence snippets for CDI specialists and attending physicians. Closed-loop tracking measures query response, agreement rates, and CMI lift to continuously refine targeting.

1

Continuous Chart Surveillance

  • Ingest clinical notes, orders, labs, imaging, and problem lists
  • Map findings to potential CC/MCC and specificity gaps
  • Score charts by financial and quality impact
Outcome: A prioritized worklist of encounters with likely documentation improvement opportunities.
2

Generate Evidence-Based Query Opportunities

  • Draft compliant CDI query language with supporting evidence
  • Link clinical indicators (e.g., labs, meds, vitals) to suggested diagnoses
  • Avoid duplicate or previously answered queries
Outcome: Ready-to-send, AHIMA-compliant query drafts for CDI review and physician response.
3

Route and Capture Physician Response

  • Route queries to the responsible attending via EHR inbox or CDI workflow
  • Track open, agreed, disagreed, and clarified outcomes
  • Update working DRG and documentation status in near real time
Outcome: Faster physician response cycles with transparent status for CDI and coding teams.
4

Measure Impact and Feedback Learning

  • Attribute CMI, SOI/ROM, and denial avoidance to accepted queries
  • Feed coder and CDI feedback into model refinements
  • Report specialty-level documentation trends
Outcome: Sustained gains in documentation specificity, coding accuracy, and case mix index with audit trails.
Epic
In Basket physician queries, note text via Haiku/Hyperdrive context, and CDI workqueues through Clin
Cerner
PowerChart notes, Dynamic Documentation, and CDI query workflows via Millennium clinical APIs and Me