Evidence: Low40/100

Eka Care uses Amazon Bedrock + Amazon Transcribe for clinical documentation automation

Use case typeClinical documentationUpdated Jun 13, 2026

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
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Eka Care
Provider
AWS
Maturity
Unknown

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 3

  • 1Clinical documentation automation
  • 2Speech-to-text transcription
  • 3Generative AI assistant
  • 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.
Technologies
Amazon BedrockAmazon Transcribe
  • 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.
  • The solution improves understanding of patient data and supports better care outcomes.
Sources & evidence1
Evidence: Low40/100Evidence strength
  • Customer explicitly identified
  • Primary source available
  • Technical implementation details available
Type: Customer StoryPublished: May 27, 2026Publisher: AWSEvidence: PrimaryConfidence: High
Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

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