User Personas¶
Understanding our users is critical to building a system that fits seamlessly into their high-pressure workflows.
1. Dr. Aditi – The Medical Oncologist¶
"I have 15 minutes per patient. I don't want to spend 10 of them clicking through five different systems to find a lab result from three months ago."
Profile¶
- Role: Senior Consultant, Medical Oncology
- Experience: 15+ years
- Work Environment: High-volume tertiary care hospital
- Patient Load: 40-50 patients/day
- Tech Savvy: Moderate. Uses technology as a tool, has zero tolerance for lag or complexity.
Goals¶
- Make accurate treatment decisions based on the complete patient history.
- Save time on data gathering to spend more time talking to the patient.
- Track treatment response objectively (is the tumor shrinking?).
- Stay updated on the latest protocols and guidelines.
Pain Points¶
- Fragmented Data: Has to log into EMR for notes, LIS for bloodwork, PACS for scans.
- Missing History: Patients bring physical files/CDs from other hospitals that aren't in the system.
- Alert Fatigue: Ignores system alerts because they are irrelevant or too frequent.
- Documentation Burden: Hates typing long notes; prefers dictation or quick templates.
How Entheory.AI Helps¶
- Unified Timeline: Shows labs, imaging, and chemo history in one view.
- AI Scribe: Automatically listens to her consults and writes the SOAP note, saving her 2 hours of typing per day.
- Trend Analysis: Visualizes tumor markers and vitals over time.
- Smart Search: "Show me the PET scan from June" works instantly.
- Mobile Access: Can review cases on her iPad during rounds.
2. Nurse Priya – The Oncology Nurse¶
"My priority is patient safety and comfort. I need to know exactly what protocol they are on and if their vitals are stable."
Profile¶
- Role: Head Nurse, Chemotherapy Day Care
- Experience: 8 years
- Work Environment: Busy chemotherapy ward
- Tech Savvy: Low to Moderate. Prefers simple, touch-friendly interfaces.
Goals¶
- Administer correct medication (Right patient, right drug, right dose).
- Monitor for adverse events (reactions, toxicity).
- Document vitals and administration quickly.
- Educate patients on side effects.
Pain Points¶
- Repetitive Entry: Writing the same vitals on paper and the computer.
- Unclear Orders: Sometimes handwriting or notes are hard to read.
- Missing Labs: Chasing doctors to check if "okay for chemo" based on morning bloods.
How Entheory.AI Helps¶
- Clear Protocols: Displays the exact regimen and cycle number clearly.
- Safety Checks: Flags if recent labs (e.g., neutrophils) are too low for chemo.
- Quick Vitals Entry: Simple mobile-friendly form for entering vitals.
3. Mr. Rajesh – The Tumor Board Coordinator¶
"Preparing for the Friday Tumor Board is a nightmare. I spend Thursday night copy-pasting data into PowerPoint slides."
Profile¶
- Role: Clinical Coordinator / Fellow
- Experience: 3 years
- Work Environment: Academic & Research Wing
- Tech Savvy: High. Uses Excel, PowerPoint, and research tools extensively.
Goals¶
- Present cases efficiently to the multidisciplinary team.
- Ensure all data is ready (pathology slides, radiology images) before the meeting.
- Document board decisions accurately.
Pain Points¶
- Manual Aggregation: Manually summarizing history from disparate files.
- Last-Minute Data: Pathology report arrives 5 minutes before the meeting.
- Follow-up: Tracking if the board's recommendation was actually followed.
How Entheory.AI Helps¶
- One-Click Export: Generates a "Tumor Board Summary" PDF/view instantly.
- Completeness Check: Flags missing reports before the meeting.
- Decision Tracking: dedicated field to record Tumor Board recommendations.
4. Suresh – The Hospital IT Manager¶
"I don't care how fancy the AI is. If it breaks my EMR or leaks patient data, it's not entering my network."
Profile¶
- Role: CIO / IT Manager
- Experience: 20 years in Healthcare IT
- Priorities: Security, Uptime, Compliance, Cost.
Goals¶
- Maintain system stability (99.9% uptime).
- Ensure data security and compliance (ABDM, DPDP Act).
- Minimize support tickets from angry doctors.
- Manage costs of infrastructure and software.
Pain Points¶
- Integration Nightmares: Every new vendor wants a custom HL7 interface.
- Security Risks: Cloud solutions asking to open firewall ports.
- Vendor Lock-in: Proprietary data formats that are hard to migrate.
How Entheory.AI Helps¶
- Standard Standards: Uses HL7 and FHIR; plays nice with existing infrastructure.
- On-Prem Option: Can deploy locally within the hospital firewall.
- Observability: Provides a dashboard for system health and data flow status.
5. Vidya – The Medical Scribe / Quality Reviewer¶
"The AI is good, but it misses the nuance of a complex cancer case. My job is to ensure the note is perfect before it hits the EMR."
Profile¶
- Role: Medical Scribe / QA Specialist
- Experience: 4 years in medical transcription
- Work Environment: Remote / Back-office
- Tech Savvy: High. Expert at keyboard shortcuts and EMR forms.
Goals¶
- Verify AI accuracy: Correct any hallucinations or missed entities (drugs, dosages).
- Format perfectly: Ensure the note matches the hospital's specific style guide.
- Turnaround time: Approve notes within 30 minutes of the encounter.
Pain Points¶
- Bad Audio: Noisy recordings make it hard to verify what was said.
- Hallucinations: AI inventing a "fever" when the patient said "no fever".
- Context Switching: Jumping between different doctors' preferences.
How Entheory.AI Helps¶
- Confidence Highlighting: AI highlights low-confidence words in red so she knows where to focus.
- Audio Sync: Clicking text plays the exact audio snippet (Karaoke mode).
- Auto-Formatting: Pre-fills the SOAP structure so she only needs to edit, not write from scratch.
6. Rohan – The Patient (Future State)¶
"I just want to understand what is happening to me and carry my records to the next doctor without lugging a suitcase of papers."
Profile¶
- Age: 45
- Condition: Stage III Colorectal Cancer
- Tech Savvy: Uses WhatsApp and UPI daily.
Goals¶
- Access his own records easily on his phone.
- Understand his progress (is the treatment working?).
- Share data with a second opinion doctor in another city.
Pain Points¶
- Physical Records: Carrying heavy files to every appointment.
- Anxiety: Waiting days for scan results.
- Confusion: Not remembering the complex medical terms the doctor used.
How Entheory.AI Helps¶
- ABHA Integration: Links records to his government health ID.
- PHR Access: (Future) View simplified timeline and reports via PHR app.
- Digital Sharing: Share records via consent artifact with other doctors.