PatientIQ - Agentic Patient 360

Team Name: Latent Potential

App Name: PatientIQ

One Liner

PatientIQ centralizes patient data and minimizes a doctor's cognitive load by making intelligent micro decisions, freeing up more space for the life saving ones made by the experts.

Abstract

Doctors today face countless daily micro decisions, many of which are administrative and pull focus away from life saving care. PatientIQ centralizes key patient information and uses AI agents to handle routine information retrieval, giving clinicians more time to focus on analysis and delivery of patient care.

The Core Problem

Doctors face countless daily micro decisions, many of which are administrative and pull focus away from life-saving care. The constant need to search through patient records, research literature, and past visit notes creates significant cognitive load that reduces time available for actual patient care.

How PatientIQ Solves It

PatientIQ addresses this through a three-tier architecture that combines:

1. Data Centralization - Brings together patient demographics, clinical notes, wearable data, questionnaires, and medical research papers into a single system.
2. AI Agent Automation - Uses specialized agents to handle routine information retrieval:
   • pulmonary_research_agent searches medical literature for treatment options and evidence.
   • docnotes_search_agent searches past visit notes to jog a doctor's memory.
   • previsit_summarizer_agent summarizes pre-visit questionnaires.
   • wearable_alerting_agent monitors wearable data for concerning trends.
3. Intelligent Decision Support - Provides AI-powered summaries and semantic search to help clinicians make faster, more informed decisions.

The result is that clinicians can focus on analysis and patient care rather than administrative tasks and information retrieval.

High Level Architecture

PatientIQ Home

PatientIQ Dashboard

Run

• make dev
• make stop

Code Formatting

• Install hooks:
  • make install-hooks

Agents

See: /agents/AGENTS.md

Docnotes Search Agent

Pulmonary Researcher Agent

Previsit Summarizer Agent

Wearable Analysis and Alerting Agent

Documentation

• DeepWiki: https://deepwiki.com/wooyakob/PatientIQ
• Agents: /agents/AGENTS.md
• API: /docs/api (open with open docs/api/index.html)

Cluster Configuration

Cluster used for testing (high level):

• AWS US East
• Couchbase Server 8.0
• 5 nodes total
• Data service group: 3 nodes
• Index/Query/Search/Eventing group: 2 nodes
• MultiAZ required for AI Functions to work
• Private Networking Enabled for Workflows, Embedding Model to Work

Database Schema

Configured via environment variables:

• COUCHBASE_BUCKET (defaults to Scripps)
• COUCHBASE_RESEARCH_BUCKET (defaults to Research)

Research (bucket)

• Pubmed (scope)
  • Pulmonary (collection)
  • questions (collection)
  • answers (collection)

Scripps (bucket)

• Notes (scope)
  • Doctor (collection)
  • Patient (collection)
  • doctors_questions (collection)
  • answers_doctors (collection)
  • patient_notes_sentiment_analysis (collection)
  • patient_masked (collection)
• People (scope)
  • Doctors (collection)
  • Patients (collection)
• Wearables (scope)
  • Patient_1 (collection)
  • Patient_2 (collection)
  • Patient_3 (collection)
  • Patient_4 (collection)
  • Patient_5 (collection)
• Questionnaires (scope)
  • patient_1 (collection)
  • patient_2 (collection)
  • patient_3 (collection)
  • patient_4 (collection)
  • patient_5 (collection)
• Messages (scope)
  • Private (collection)
  • Public (collection)
• Calendar (scope)
  • Appointments (collection)

Agent Catalog (bucket)

• agent_catalog
  • metadata
  • prompts
  • tools
• agent_activity
  • logs

Cluster Cost Estimate

Window

• Feb 8–12
• Feb 12: cluster destroyed

Assumptions used in this estimate

• Weekdays (Mon–Fri): 9am–noon (3 hours/day)
• Weekend: Sat/Sun off
• Rate (on): 2.77
• Rate (off): 0.16

Weekly estimate

Category	Calculation	Weekly hours	Cost
On time	3 hours/day × 5 days	15	$41.55
Off time	(21 hours × 5 days) + (24 hours × 2 days)	153	$24.48
Total			$66.03

Projected total (3–4 weeks): $198.09