pediatric-ai-scribe-v3/IMPROVEMENTS.md
Daniel 059fbefa7e Add automatic ICD-10 and CPT billing code suggestions
New feature: after generating any clinical note, the app automatically
suggests relevant billing codes displayed as clickable chips below the output.

Backend (src/routes/billing.js):
- POST /api/suggest-codes endpoint analyzes note text
- Extracts diagnoses from Assessment section via regex
- Looks up ICD-10 codes: local common pediatric map (40+ conditions)
  first, then NLM Clinical Tables API for unknown terms
- Suggests CPT E/M codes based on note type, visit complexity,
  ROS/PE system counts, and MDM level estimation
- Supports: outpatient (new/established), well visit (age-based),
  ED, inpatient (admit/subsequent/discharge)

Frontend (public/js/app.js):
- suggestBillingCodes() renders collapsible card with ICD-10 and CPT chips
- Click any chip to copy the code to clipboard
- Shows E/M level assessment (diagnosis count, ROS, PE, MDM complexity)
- Disclaimer: "Suggestions only. Always verify codes."

Integration: called after note generation in all 6 tabs
(encounter, SOAP, sick visit, well visit, hospital course, chart review)
2026-04-11 01:50:17 +02:00

9.5 KiB

Pediatric AI Scribe — Improvement Roadmap

A non-technical overview of what the app does today and how it can be taken further.


What the App Does Today

Pediatric AI Scribe is a clinical documentation tool for pediatric physicians. It listens to doctor-patient encounters (or accepts typed/pasted notes) and uses AI to generate structured medical notes — HPIs, SOAP notes, hospital courses, chart reviews, well visit and sick visit documentation.

It also includes pediatric calculators (blood pressure percentiles, BMI, growth charts, bilirubin nomograms, vital signs reference), a Learning Hub for educational content and quizzes, and a full security layer (two-factor authentication, session management, audit logging, single sign-on).

The app runs as a self-hosted web application with a mobile-friendly PWA interface.


Areas for Improvement

1. Visual Growth Charts

Current state: Growth percentiles are displayed as numbers (e.g., "75th percentile, Z-score 0.67").

Improvement: Plot actual WHO/CDC percentile curves (the familiar growth chart lines pediatricians use) with the patient's data point shown on the chart. This would make results immediately interpretable at a glance, matching the paper charts physicians are trained on. Support for plotting multiple visits over time would make it even more useful for tracking growth trends.

2. Blood Pressure Calculator Accuracy

Current state: The BP calculator uses simplified reference values at the 50th height percentile only.

Improvement: Implement the full Rosner quantile spline regression method (the same math used by the Baylor College of Medicine reference calculator). This would give exact BP percentiles adjusted for the patient's actual height, not just an approximation. The regression coefficients are publicly available and can be integrated directly.

3. Multi-Visit Tracking

Current state: Each encounter is independent. There is no way to see a patient's history across visits.

Improvement: Allow physicians to associate notes with a patient identifier (MRN, initials, or a pseudonym) and view previous encounters for that patient. This would enable:

  • Growth tracking over time (plot multiple points on growth curves)
  • Trend monitoring (weight gain/loss, blood pressure trends)
  • Quick access to past notes during follow-up visits

This would need careful design around data retention and privacy since it changes the app from a transient tool to one that stores longitudinal data.

4. EHR Integration

Current state: Notes are copied manually and pasted into the EHR.

Improvement: Direct integration with common EHR systems:

  • FHIR API — connect to Epic, Cerner, or other FHIR-enabled EHRs to push notes directly into the patient chart
  • HL7 messaging — for institutions using traditional interfaces
  • Smart on FHIR — launch the app from within the EHR as an embedded tool

This is the highest-impact improvement for adoption but also the most complex to implement (requires EHR vendor partnerships and institutional approval).

5. Offline Mode

Current state: The app requires an internet connection for AI generation and cloud-based transcription. Browser Whisper works offline for transcription only.

Improvement: Add a local AI model option (e.g., a small medical LLM running on the device or local server) so the entire workflow — record, transcribe, generate note — can happen without any network calls. This would be valuable for:

  • Rural clinics with unreliable internet
  • Maximum privacy (no data leaves the building)
  • Disaster/field medicine scenarios

6. Specialty Expansion

Current state: Focused on general pediatrics with some subspecialty support in chart review.

Improvement: Add specialty-specific note templates and AI prompts for:

  • Pediatric cardiology (echo reports, cath summaries)
  • Pediatric neurology (EEG reports, seizure logs)
  • Neonatology (daily progress notes, discharge summaries)
  • Pediatric surgery (operative notes, pre-op assessments)
  • Pediatric psychiatry (intake assessments, progress notes)

Each specialty has unique documentation requirements that could be addressed with tailored prompts and input forms.

7. Billing Code Suggestions

Current state: The well visit tab includes some billing code references.

Improvement: Automatically suggest ICD-10 and CPT codes based on the generated note content. After the AI generates a note, it could analyze the diagnoses, procedures, and visit complexity to suggest appropriate billing codes. This saves time on coding and reduces missed charges.

8. Quality Metrics Dashboard

Current state: Admin panel shows basic usage statistics (total API calls, users).

Improvement: Add a dashboard showing:

  • Average note generation time by type
  • Most-used AI models and their accuracy (based on how often users edit the output)
  • Transcription accuracy metrics (if corrections are tracked)
  • Usage patterns by time of day and day of week
  • Cost tracking across AI providers

This would help administrators optimize model selection and identify training opportunities.

9. Patient Education Materials

Current state: The Learning Hub serves educational content to physicians.

Improvement: Add a patient-facing education module that generates age-appropriate handouts based on the diagnosis. For example, after generating a note for a child with asthma, the app could produce a parent-friendly handout explaining the diagnosis, medications, and when to seek emergency care — in the parent's preferred language.

10. Multi-Language Support

Current state: English only.

Improvement: Add support for:

  • Generating notes in other languages (Spanish, French, Arabic, etc.)
  • Transcribing encounters conducted in other languages
  • Patient education materials in the family's language
  • UI translation for non-English-speaking staff

Medical Spanish alone would significantly expand the app's reach in the United States.

11. Voice Commands During Recording

Current state: Recording is continuous — the physician presses start and stop.

Improvement: Add voice command recognition during recording:

  • "New section" — marks a section break in the transcript
  • "Off the record" — pauses transcription temporarily (for sidebar conversations)
  • "Add diagnosis: [condition]" — tags a diagnosis without typing
  • "Skip" — ignores the last segment

This would make the recording workflow more natural and reduce post-generation editing.

12. Collaborative Notes

Current state: Single-user editing. Notes are created and edited by one physician.

Improvement: Allow multiple team members to work on the same encounter:

  • Attending reviews and co-signs a resident's note
  • Nurse adds vital signs and chief complaint before the physician sees the patient
  • Specialist adds their consultation note to the same encounter

This mirrors the real workflow in training institutions and group practices.

13. Mobile-Optimized Recording

Current state: Recording works on mobile but stops when the screen locks or the app is backgrounded (browser limitation).

Improvement: Build a native mobile wrapper (using Capacitor or React Native) that can record audio in the background even when the screen is off. This is the single biggest usability improvement for mobile users and removes the most common complaint.

14. Template Library

Current state: Physician memories and corrections provide some personalization.

Improvement: Add a shared template library where physicians can create, share, and browse note templates:

  • "My asthma follow-up template"
  • "Standard newborn discharge summary"
  • "ED laceration repair template"
  • Import/export templates between institutions

15. Audit and Compliance Reporting

Current state: Audit logs exist in the database but there is no reporting UI.

Improvement: Add an admin-facing compliance dashboard:

  • Who accessed what, when (filterable by user, date, action)
  • Export audit logs to CSV/PDF for compliance reviews
  • Automated alerts for unusual access patterns
  • HIPAA compliance checklist with green/red status indicators
  • BAA tracking (which providers have signed BAAs)

Priority Recommendations

If resources are limited, focus on these high-impact improvements first:

Priority Improvement Impact Effort
1 Visual growth charts High — physicians expect visual curves Medium
2 Accurate BP calculator High — clinical accuracy matters Medium
3 Billing code suggestions High — direct revenue impact Medium
4 Multi-language support High — expands reach significantly Large
5 Audit/compliance reporting Medium — required for institutional adoption Small
6 EHR integration (FHIR) Very high — but requires partnerships Very large

What Makes This App Unique

Compared to existing medical scribes and documentation tools:

  • Pediatric-specific — prompts, calculators, milestones, and growth charts designed for children, not adapted from adult tools
  • Self-hosted — runs on your own infrastructure, not a SaaS that holds your data
  • Provider-agnostic — works with any AI provider (swap between them without changing anything)
  • Privacy-first — optional fully offline transcription, auto-expiring data, no permanent PHI storage
  • Learning system — AI improves its output based on each physician's editing patterns
  • All-in-one — documentation, calculators, education, and administration in a single platform