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Description

The ABDM Connector serves as a vital integration platform designed for healthcare providers and software vendors, facilitating seamless connections between hospital management information systems (HMIS), electronic medical and health record systems (EMR/EHR), laboratories, and various healthcare applications in alignment with India’s Ayushman Bharat Digital Mission (ABDM). This platform offers a suite of tools including APIs, SDKs, webhooks, a middleware connector, and data-mapping resources tailored for ABDM workflows, which encompass ABHA-based identity verification, health record linking and exchange, as well as consent-driven data sharing among authorized systems. It is built to support HL7 FHIR R4 standards and includes a sandbox environment for testing integrations prior to deployment in a live setting. Organizations benefit from flexibility in connecting through either direct APIs or a connector layer, with the option to request personalized mappings and implementation strategies for legacy systems or unique workflows. The primary objective of the ABDM Connector is to enhance existing healthcare software with ABDM connectivity without the need to replace any current clinical or administrative systems in operation. Consequently, this integration helps streamline processes and improve interoperability within the healthcare ecosystem.

Description

Utilize Amazon Comprehend Medical to derive insights from unstructured data, facilitating efficient search and query processes. Forecast health-related trends through Amazon Athena queries, alongside Amazon SageMaker machine learning models and Amazon QuickSight analytics. Ensure compliance with interoperable standards, including the Fast Healthcare Interoperability Resources (FHIR). Leverage cloud-based medical imaging applications to enhance scalability and minimize expenses. AWS HealthLake, a service eligible for HIPAA compliance, provides healthcare and life sciences organizations with a sequential overview of individual and population health data, enabling large-scale querying and analysis. Employ advanced analytical tools and machine learning models to examine population health patterns, anticipate outcomes, and manage expenses effectively. Recognize areas to improve care and implement targeted interventions by tracking patient journeys over time. Furthermore, enhance appointment scheduling and reduce unnecessary medical procedures through the application of sophisticated analytics and machine learning on newly structured data. This comprehensive approach to healthcare data management fosters improved patient outcomes and operational efficiencies.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

AWS AI Services No 
Amazon Athena No 
Amazon QuickSight No 
Amazon SageMaker No 
Amazon Web Services (AWS) No 
HL7 FHIR Yes 

Integrations

AWS AI Services Yes 
Amazon Athena Yes 
Amazon QuickSight Yes 
Amazon SageMaker Yes 
Amazon Web Services (AWS) Yes 
HL7 FHIR No 

Pricing Details

₹10,000+
Plug-and-play connector: from ₹10,000 (fee interval not stated; indicative and scope-dependent). Fixed-price custom integration: ₹4–10+ lakh. Team augmentation: ₹1.2–2.5 lakh/month. Final quotes depend on ABDM milestones, FHIR mapping, record types, facilities, and rollout.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

ABDM Connector

Founded

2013

Country

India

Website

abdmconnector.com

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/healthlake/

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No Alternatives

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