For physicians at a large hospital network, patient care doesn't end at the consultation - it's followed by minutes of mandatory documentation for every single patient. With doctors seeing 40–60 patients a day, this added up to 2–4 hours of daily administrative work inside the Hospital Information System (HIS).
The cost was real: less time with patients, incomplete clinical records, limited throughput and growing compliance exposure under India's Ayushman Bharat Digital Mission (ABDM) mandate. And as the network expanded, the problem only scaled with it.
Physicians spending 2–4 hours daily on manual prescription entry, reducing time available for patient care.
Incomplete clinical records due to documentation fatigue (missing vitals, skipped histories, and unclear dosages).
Multi-lingual complexity - doctors speak in Hindi-English code-mixed language during consultations with medical terminology often in English within Hindi sentences.
No existing transcription solution capable of handling medical code-mixed audio with sufficient accuracy.
ABDM compliance requirements demanding complete, auditable digital health records.
The need to scale documentation capabilities across 17+ hospitals without infrastructure overhead per site.
OpsTree designed and built a multi-stage Generative AI pipeline on AWS that processes doctor-patient voice conversations end-to-end, converting them into structured e-prescriptions and progress notes with no changes to clinical workflows.
Physicians speak naturally during consultations – AI automatically generates structured, HIS-ready clinical records in the background.
Covers OPD e-prescriptions, IPD progress notes and real-time transcription across all consultation types.
Handles 23+ prescription fields including vitals, diagnosis, medications, investigations, referrals and clinical notes.
Built-in support for Hindi-English code-mixed speech – no language barriers for clinical staff.
Every AI-generated output is reviewed and confirmed by the treating physician before HIS submission.
A complete audit trail is maintained for every consultation, supporting ABDM compliance and internal governance.
Scales seamlessly across the entire hospital network – adding a new facility requires zero infrastructure changes.
Dynamic model routing optimizes AI inference costs without compromising clinical accuracy or output quality.
Reduced per-consultation documentation time from 3–5 minutes to under 1 minute – a 85% reduction in daily administrative overhead per physician
Doctors reclaimed 3-4 hours per day for direct patient care
Improved clinical record completeness by 35% – fields routinely skipped under time pressure are now consistently captured
Eliminated a class of medication documentation errors through intelligent, safety-first AI extraction
Achieved full ABDM compliance with an auditable record of every consultation
45% reduction in AI inference costs through dynamic model routing, optimizing spend without compromising accuracy
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