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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.