Faster Product Insights: qualitative analysis of telemedicine

This post explains how to extract prioritized product requirements from telemedicine interviews using an AI-enabled qualitative workflow, illustrated by a PLOS One study of 17 GPs (interviews 19 June–11 Sept 2024). The study identifies top unmet needs (data/services integration, clinical communication, clinical task support) and reports measurable performance gains in efficiency, service quality, and physician–patient communication.

• Seventeen general practitioners were interviewed (interview window: 19 June–11 Sept 2024) to map clinical tasks to app capabilities using the Task‑Technology Fit model.
• Top unmet needs reported by clinicians were data/services integration, clinical communication, and clinical task support, which should be product design priorities.
• Platform exposure in the study was Good Doctor 100%, Halodoc 29.41%, and Alodokter 17.64%, and clinician experience was concentrated around ~47.06% with 5–7 years and ~47.06% with 2–4 years of telemedicine use.
• An AI-enabled workflow (transcription, codeframe application, cross-segment synthesis, clinician validation) reproduces these insights faster and yields prioritized requirements and stakeholder-ready artifacts.

The study found that applying the Task‑Technology Fit (TTF) model to 17 GP interviews mapped clinical tasks (anamnesis, remote physical exams, diagnosis, prescribing, referrals, follow-up) to required app capabilities and revealed persistent gaps in referrals, physical exam support, diagnostic accuracy, and inter-physician communication. While most GPs reported routine telemedicine use, key gaps remain in integrated referrals, thorough remote physical exams, diagnostic accuracy, and inter-clinician communication.

• All GPs perform anamnesis remotely; physical exams are often constrained to photos or patient-reported device readings.
• Critical requirement groups identified were clinical communication, data & services integration, clinical task support, reliability, and privacy/security.
• Most GPs used available features regularly; ~47.06% had 5–7 years' telemedicine experience and another ~47.06% had 2–4 years.

This checklist converts interview transcripts into prioritized product requirements within two weeks by automating transcription, coding, synthesis, and validation.

• 1) Import & prep: Upload audio/video and survey files into Evidano; apply the medical custom dictionary and enable PII redaction.
• 2) Transcribe & translate: Auto-transcribe interviews (the study used Microsoft Teams recordings); review flagged low-confidence segments.
• 3) Apply codeframe: Seed the TTF codebook (task, tech, utilization, performance) and run AI-assisted coding across transcripts.
• 4) Synthesize themes: Use thematic and co-occurrence analyses to surface critical requirement clusters, for example integration and referral workflows.
• 5) Cross-segment checks: Run frequency and cross-segment analyses (experience, platform) to prioritize which features serve the largest or highest-risk groups.
• 6) Validate with clinicians: Export clickable quotes and a one-page evidence brief; conduct a one-hour validation session to confirm priorities.
• 7) Deliver artifacts: Generate stakeholder-ready visualizations (word clouds, hierarchy of codes) and a prioritized requirements spreadsheet for engineering.

The PLOS One study (June 8, 2026) provides a clear, clinician-driven roadmap: integrate data/services, improve clinical communication, and add task templates to improve telemedicine fit and performance. If your team runs interviews or has existing transcripts, you can reproduce the study’s insights faster by applying an AI-enabled qualitative workflow and the seven-step checklist above.

• Try a pilot: upload a small set (5–10) of interviews to www.evidano.com and run the TTF codebook to produce prioritized requirements in hours, not weeks.
• If you need a template: export the study-aligned TTF codebook and a one-page evidence brief from Evidano to share with product and policy stakeholders.

Read the original paper: PLOS One. Ready to accelerate your qualitative telemedicine research? Try Evidano for free.