Web App / Healthcare
Medical Report Generator
An intelligent module that assists clinicians by automatically creating structured reports from anonymized patient interactions.
Web AppHealthcareAI

- Timeline
- 2 weeks
- My Role
- End-to-end design + integration with IQLINIQ
- Team
- Solo design
- Tools
- Figma · Miro
Overview
- The AI Report Generator is an intelligent module designed to assist clinicians by automatically creating reports based on patient interactions. Originally part of IQLINIQ, it can also function as a standalone tool. It transcribes audio recordings anonymously and combines them with existing patient data and prior reports to generate structured, actionable clinical reports.
Problem Space
Clinicians spend a big chunk of each day writing session reports, time taken straight from patient care. Key problems:
- Clinicians spend significant time writing session reports, reducing time for patient care
- Manual documentation can lead to inconsistencies and delayed follow-ups
- Trust in AI-generated content is critical in clinical settings
Key Observation Insights
My research surfaced:
- Clinicians described report-writing as unavoidable overhead that competed directly with time spent on patients
- When documentation lagged behind sessions, detail and consistency slipped and follow-ups got delayed
- Existing automation tools missed clinical context and couldn't guarantee privacy, so clinicians didn't trust them. Anonymity was the precondition for using AI on sessions at all
Key Research Insights
- Clinicians need to trust and verify AI-generated content
- Privacy and anonymity are non-negotiable
- Seamless integration with existing workflows is essential
Challenges & Solutions
Challenge
Balancing privacy, automation, and trust in AI-generated content.
Solution
Clear labeling of AI vs. human input, strong privacy measures, and a focus on clinician review and approval.
Challenge
Designing a workflow that fits into how clinicians already work.
Solution
Iterative testing with mock sessions and clinician feedback ensured clarity, usability, and reliability.
Outcomes
- Reduced time required for report writing
- Increased consistency and completeness of clinical documentation
- Provided clinicians with actionable insights more quickly
Future Improvements
- Enhanced transcription accuracy for medical terminology
- Integration with additional patient data sources
- Template customization for different clinical specialties