Eka Care uses Amazon Bedrock + Amazon Transcribe for clinical documentation automation
Eka Care is a PHR app that helps users store medical records and monitor health vitals. In India’s healthcare landscape, doctors often manage over 100 patients a day and spend only a few minutes per patient because of administrative burdens. Eka Care built Eka Doc, DocAssist, and Voice2RX to streamline patient management and convert doctor-patient conversations into structured notes. The company uses Amazon Bedrock for generative AI applications and Amazon Transcribe for speech-to-text transcription into structured notes. Eka Care also states that it uses AWS HIPAA-compliant services and aligns data handling with India’s DPDP Act guidelines.
- Organization
- Eka Care
- Industry
- Healthcare
- Location
- India
- Published
- May 2026
Reported outcomes
Strategic outcomes
Primary read
Use case focus
Showing 3 of 3
- 1Clinical documentation automation
- 2Speech-to-text transcription
- 3Generative AI assistant
- Doctors were overwhelmed by patient load and administrative work.
- Unstructured medical conversations and records needed to become structured, usable notes.
- The solution had to meet healthcare security and compliance requirements.
- Eka Care developed Eka Doc, DocAssist, and Voice2RX to improve patient management and documentation.
- Amazon Transcribe converts doctor-patient conversations into text for structured notes.
- Amazon Bedrock supports the generative AI workflow and lets the team experiment with multiple models more easily.
- Doctors spend more time with patients and less time on administrative work.
- Eka Care reports reduced error rates after moving to Amazon Bedrock.
- The team gained more agility and flexibility to experiment with multiple models.
- Patients can access health data more easily for real-time decision-making.
- The solution improves understanding of patient data and supports better care outcomes.
Sources & evidence1
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