Clinical Workflow Overview
Document Purpose: This document maps how patients move through the oncology care journey and where Entheory.AI integrates to improve clinical workflows.
Executive Summary
Entheory.AI supports oncology care across the entire patient journey—from initial diagnosis through treatment and long-term survivorship. By unifying data from fragmented systems and providing AI-powered insights, we help clinicians make faster, better-informed decisions.
Related Documentation:
- Personas – Detailed user profiles and needs
- User Journeys – Step-by-step workflow scenarios
- Vision & Strategy – Platform goals and objectives
1. User Personas
Primary Users
| Persona |
Role |
Key Needs |
Related Use Cases |
| Oncologist |
Treatment decision maker |
Unified patient view, time savings |
UI-002, UI-003 |
| Tumor Board Member |
Multidisciplinary specialist |
Case packets, recommendations tracking |
ONC-050, ONC-052 |
| Clinical Coordinator |
Care manager |
Scheduling, follow-up tracking |
APPT-002, NOTIF-002 |
| Oncology Nurse |
Care delivery |
Protocols, vitals, safety checks |
PHRM-002, ONC-023 |
| Medical Scribe |
Documentation |
AI note review, corrections |
DCT-001, DCT-002 |
| IT Administrator |
System management |
Integration monitoring, user mgmt |
OPS-001, OPS-002 |
See: Detailed Personas for in-depth profiles, pain points, and how Entheory.AI addresses each user's needs.
2. Patient Journey Stages
2.1 Journey Overview
┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ Registration│ ──▶│ Diagnosis │ ──▶│ Staging & │ ──▶│ Treatment │ ──▶│ Follow-up & │
│ & Referral │ │ & Workup │ │ Planning │ │ Execution │ │ Survivorship│
└─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘
│ │ │ │ │
▼ ▼ ▼ ▼ ▼
Entheory.AI Entheory.AI Entheory.AI Entheory.AI Entheory.AI
Integration Integration Integration Integration Integration
Interactive Patient Journey
journey
title Oncology Patient Journey with Entheory.AI
section Registration
Patient arrives with referral: 3: Patient
Coordinator registers in EMR: 4: Coordinator
Documents OCR'd and indexed: 5: Entheory.AI
section Diagnosis & Workup
Order labs, imaging, biopsy: 4: Oncologist
Results auto-ingested: 5: Entheory.AI
View unified timeline: 5: Oncologist
section Staging & Planning
TNM staging extracted: 5: Entheory.AI
Tumor board case packet generated: 5: Entheory.AI
Board recommendations recorded: 4: Coordinator
section Treatment
Chemo protocol selected: 4: Oncologist
Safety checks performed: 5: Entheory.AI
Adverse events tracked: 4: Nurse
section Follow-up
Surveillance scans ordered: 4: Oncologist
Trends analyzed automatically: 5: Entheory.AI
Care gap alerts sent: 5: Entheory.AI
2.2 Stage Details
| Stage |
Activities |
Data Sources |
Entheory.AI Value |
| Registration & Referral |
Patient registration, insurance, referral intake |
EMR/HIMS, referral letters |
Patient identity normalization, document OCR |
| Diagnosis & Workup |
Biopsy, pathology, imaging, labs |
LIS, PACS, Path Lab |
Unified timeline, TNM staging extraction |
| Staging & Planning |
Tumor board, treatment protocol selection |
All sources + guidelines |
Auto-generated case packets, recommendation tracking |
| Treatment Execution |
Chemotherapy, radiation, surgery |
Pharmacy, OT, nursing notes |
Adverse event tracking, dose modifications |
| Follow-up & Survivorship |
Surveillance imaging, labs, recurrence monitoring |
LIS, PACS |
Trend analysis, care gap alerts |
3. Entheory.AI Touchpoints
3.1 Data Ingestion
| Source System |
Data Type |
Integration Method |
Use Cases |
| EMR/HIMS |
Demographics, visits, orders |
HL7 v2 ADT, FHIR R4 |
ING-001, INT-001 |
| LIS (Labs) |
Lab results, panels |
HL7 v2 ORU, FHIR |
ING-004, ING-005 |
| PACS |
Imaging studies, reports |
DICOM, HL7 ORM/ORU |
ING-006, IMG-009 |
| Pathology |
Biopsy reports, IHC panels |
PDF/OCR, FHIR |
PROC-001, ONC-002 |
| Genomics Lab |
NGS reports, variants |
JSON/FHIR, VCF |
ONC-040, ONC-041 |
| Pharmacy |
Prescriptions, dispensing |
HL7 RDE |
PHRM-001, ING-018 |
3.2 Clinical Workflow Support
| Workflow |
How Entheory.AI Helps |
Key Use Cases |
| Pre-Consultation Review |
Unified timeline loads in <2s, shows changes since last visit |
UI-003, ONC-071 |
| During Consultation |
AI scribe captures audio, generates SOAP note |
CAP-001, NLP-101 |
| Lab Review |
Trend charts, critical value alerts |
UI-004, ALR-001 |
| Imaging Review |
Integrated viewer, RECIST lesion tracking |
IMG-011, ONC-012 |
| Tumor Board Prep |
Auto-generated case packets, completeness check |
ONC-050, ONC-051 |
| Treatment Ordering |
Drug interaction checks, protocol suggestions |
PHRM-002, ONC-021 |
| Follow-up Scheduling |
Care gap alerts, automatic reminders |
ONC-053, NOTIF-002 |
3.3 AI/ML Integration Points
| Workflow Step |
AI Capability |
Use Cases |
| Document Processing |
OCR for scanned reports (Hindi + English) |
PROC-003 |
| Audio Capture |
ASR for clinical dictation |
PROC-006 |
| Entity Extraction |
NER for medications, diagnoses |
NLP-102a, NLP-102b |
| Staging Extraction |
TNM staging from pathology reports |
ONC-003 |
| Note Generation |
SOAP note structuring |
PROC-012, NLP-101 |
4. Workflow by User Role
4.1 Oncologist Workflow
┌─────────────────────────────────────────────────────────────────────────────┐
│ ONCOLOGIST CONSULTATION FLOW │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ 1. PRE-CONSULTATION (2-3 min) │
│ ├── Open patient timeline [UI-003] │
│ ├── Review "Changes Since Last Visit" [ONC-071] │
│ └── Check pending alerts [UI-005] │
│ │
│ 2. DURING CONSULTATION (10-15 min) │
│ ├── Start audio capture [CAP-001] │
│ ├── Review labs with trend charts [UI-004] │
│ ├── View imaging with RECIST tracking [ONC-012] │
│ └── Stop recording [CAP-002] │
│ │
│ 3. POST-CONSULTATION (2-5 min) │
│ ├── Review AI-generated SOAP note [DCT-001] │
│ ├── Edit/approve note [DCT-002] │
│ ├── Order follow-up tests/meds [PHRM-001] │
│ └── Schedule next appointment [APPT-008] │
│ │
└─────────────────────────────────────────────────────────────────────────────┘
Time Saved: 5-10 minutes per patient (from data gathering and documentation)
4.2 Tumor Board Workflow
┌─────────────────────────────────────────────────────────────────────────────┐
│ TUMOR BOARD WORKFLOW │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ 1. CASE PREPARATION (Coordinator) │
│ ├── Cases auto-routed to board [ONC-051] │
│ ├── Generate case packet [ONC-050] │
│ └── Completeness check (flag missing reports) [ONC-075] │
│ │
│ 2. DURING MEETING (Board Members) │
│ ├── Present unified patient view │
│ ├── Display imaging comparisons [ONC-078] │
│ └── Record recommendations [ONC-052] │
│ │
│ 3. POST-MEETING (Coordinator) │
│ ├── Distribute recommendations │
│ ├── Track implementation [ONC-053] │
│ └── Flag non-compliance │
│ │
└─────────────────────────────────────────────────────────────────────────────┘
Time Saved: 30-60 minutes per case (from manual packet preparation)
4.3 Nursing Workflow
┌─────────────────────────────────────────────────────────────────────────────┐
│ CHEMOTHERAPY ADMINISTRATION │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ 1. PRE-CHEMO CHECK │
│ ├── Verify patient identity [UI-001] │
│ ├── Check lab clearance (ANC, platelets) [ONC-032, ALR-001] │
│ └── Review current protocol and cycle [ONC-020] │
│ │
│ 2. DURING ADMINISTRATION │
│ ├── Document vitals │
│ ├── Monitor for reactions [ONC-023] │
│ └── Record any dose modifications [ONC-022] │
│ │
│ 3. POST-ADMINISTRATION │
│ ├── Document completion │
│ ├── Schedule next cycle [APPT-008] │
│ └── Patient education on side effects │
│ │
└─────────────────────────────────────────────────────────────────────────────┘
5. Data Flow Architecture
5.1 Ingestion to Timeline
External Systems Entheory.AI Platform User Interface
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
┌─────────┐ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐
│ EMR │────▶│ HL7 Adapter │────▶│ Patient │────▶│ Timeline │
└─────────┘ └──────────────┘ │ Bundle │ │ View │
│ (Unified) │ └──────────────┘
┌─────────┐ ┌──────────────┐ │ │ ┌──────────────┐
│ LIS │────▶│ HL7 Adapter │────▶│ │────▶│ Lab Trends │
└─────────┘ └──────────────┘ │ │ └──────────────┘
│ │
┌─────────┐ ┌──────────────┐ │ │ ┌──────────────┐
│ PACS │────▶│DICOM Adapter │────▶│ │────▶│ Imaging │
└─────────┘ └──────────────┘ │ │ │ Viewer │
│ │ └──────────────┘
┌─────────┐ ┌──────────────┐ │ │
│ Scans │────▶│ OCR Engine │────▶│ │
│ (PDF) │ └──────────────┘ │ │
└─────────┘ │ │
│ │
┌─────────┐ ┌──────────────┐ │ │
│ Audio │────▶│ ASR Engine │────▶│ │
└─────────┘ └──────────────┘ └──────────────┘
5.2 Cross-System Alerts
Lab Result (LIS) ──▶ Critical Value Check ──▶ Alert Generated ──▶ Notification
│ │
▼ ▼
┌──────────────┐ ┌──────────────┐
│ Rule Engine │ │ Multi-Channel│
│ [ALR-001] │ │ [NOTIF-001] │
└──────────────┘ └──────────────┘
6. Integration with Hospital Systems
6.1 Typical Hospital Ecosystem
| System Category |
Common Vendors (India) |
Integration Status |
| EMR/HIMS |
eHospital, Practo, BahmniCare, custom |
HL7 v2 / FHIR adapters ready |
| LIS |
Roche, Abbott, Siemens, in-house |
HL7 v2 ORU support |
| PACS |
Philips, GE, Agfa, local vendors |
DICOM / HL7 adapters |
| Pharmacy |
In-house, HIS modules |
HL7 RDE / FHIR MedicationRequest |
| Billing |
HIS integrated |
Display-only (no write-back MVP) |
6.2 Deployment Scenarios
| Scenario |
Data Flow |
Deployment Time |
| Full Integration |
Real-time HL7/FHIR |
4-6 weeks |
| Hybrid |
HL7 for labs + CSV for legacy data |
2-4 weeks |
| Fallback |
CSV/JSON batch upload |
1-2 weeks |
7. Clinical Value Metrics
7.1 Time Savings
| Activity |
Before Entheory.AI |
With Entheory.AI |
Savings |
| Pre-consultation data gathering |
10-15 min |
2-3 min |
8-12 min |
| SOAP note documentation |
5-10 min |
1-2 min |
4-8 min |
| Tumor board packet preparation |
45-60 min |
5-10 min |
40-50 min |
| Lab trend analysis |
5 min |
30 sec |
4.5 min |
7.2 Quality Improvements
| Metric |
Target |
Measurement |
| Data completeness |
>90% of modalities ingested |
Automated audit |
| Missed care gaps |
<5% |
Follow-up compliance tracking |
| Alert acknowledgment |
100% within SLA |
Alert analytics |
| Documentation quality |
>95% complete SOAP notes |
NLP validation |
Document Owner: Clinical Product Team
Last Updated: 2024-12-09
Next Review: Quarterly (aligned with pilot feedback)