AI-assisted documentation
Create voice-enabled notes and generate clinical documentation faster using the Eka Scribe workflow, which is positioned around voice-to-prescription and note generation.
Eka Care is an AI-native health platform for doctors, clinics, hospitals, and patients. EMR/EHR, digital prescriptions, ABHA-linked record sharing, storage, APIs.
Eka Care is an AI-native health platform that combines doctor-facing EMR and practice management tools with a patient app, developer APIs, and ABDM-linked record sharing. The site positions it as a connected health operating system for clinics, hospitals, and health applications.
For clinicians, Eka Care centers on digital documentation, prescriptions, patient communication, queue handling, analytics, and integrated record access. For patients, it provides a way to store medical records, track body vitals, use ABHA, and surface health information in a structured digital format.
Create voice-enabled notes and generate clinical documentation faster using the Eka Scribe workflow, which is positioned around voice-to-prescription and note generation.
Run an EMR workflow for patient queues, visits, prescriptions, follow-up reminders, billing, and due payments inside the Eka Doc practice management tool.
Store, search, filter, and label patient health records, then turn uploaded documents into structured digital files and summary views.
Use ABHA and ABDM Connect to verify patients, fetch or share records with consent, and participate in India’s interoperable digital health network.
Build health applications and agents through the Developer Portal, with APIs described as suitable for health-tech apps and clinical or patient-facing agents.
Track symptoms, health risks, and a wide range of body vitals in the patient app, including longitudinal monitoring for chronic conditions.
A doctor can use Eka Doc to manage walk-ins, appointments, prescriptions, follow-up reminders, and payment-related tasks from a single clinic workflow.
A patient can upload health documents, organize them into digital records, and search or label them for easier access during future visits.
A clinic can use ABHA and ABDM Connect to verify patients and exchange records with consent inside an interoperable health-network workflow.
A healthcare team or developer can use the portal and APIs to build patient-facing or clinical AI agents, such as symptom checks, appointment booking, or FAQ automation.
A chronic-care patient can monitor vitals and review health trends over time, using the app’s tracking features to support ongoing self-management.
Eka Care provides an AI-native health platform for doctors, clinics, hospitals, and patients. The doctor-facing side focuses on EMR/EHR, digital prescriptions, practice management, patient communication, and analytics, while the patient app helps people store records, track vitals, and create or use ABHA.
For doctors, the platform supports digital prescriptions, patient queue management, follow-up reminders, messaging, analytics, and practice workflows. For patients, it supports medical record organization, health tracking, and ABHA-related health access.
The doctor page says Eka Doc can be used with other EMRs and that Eka can support migration of patient data from other EMRs. The home page also describes developer APIs through the Developer Portal.
The pricing page currently resolves to a 404 and does not show public plans or prices in the provided material. Some doctor-facing features mention a free trial or a demo flow, but no confirmed pricing details are available.
The source pages describe mobile apps and web-based practice tools rather than a single desktop-only product. The doctor page says the app is available on iOS and Android, and the home page presents a web platform with APIs and connected products.