smartHealth

smartHealth

We deal with a new information technology generation that involves big data, internet of things (loT), cloud computing, and artificial intelligence to transform the conventional medical practices in an all-round way, making healthcare more efficient, more personalised, and more convenient. Smart healthcare services like smartHealth and smartTelehealth are utilising the technology that leads to better diagnosis, well-organised treatment plans, and devices that improve life quality, which can be adapted and are cost-effective.

At smartData, we understand that to keep pace with the technological advancements, the essence of reusability and scalability is manifold. On similar lines and using the latest technologies, we have built components of clinical care solutions that help health organisations and providers to manage their practice requirements efficiently. Our smartHealth solution is a SaaS-based platform for organisations with multi-locations that includes the following major features:

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smartHealth- components of clinical care solutions | Telemedicine-EHR


Recent Portfolio Projects

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Pharmacy App with OCR Engine

Pharmacy App with OCR Engine

This project aims to develop a mobile application for pharmacists that utilizes OCR (Optical Character Recognition) to read handwritten prescriptions from uploaded images or camera captures. The extracted medication details will be matched with a database to provide accurate prescription information.

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On-Demand Staffing & Recruiting Platform for NDIS Plan Management

On-Demand Staffing & Recruiting Platform for NDIS Plan Management

The application is an interactive and efficient online platform to connect home care enterprises with certified caregivers. The platform aims to address challenges such as timely service delivery for enterprises and optimal schedule utilization for caregivers by providing a seamless connection between both parties.

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HL7 Mirth POC

HL7 Mirth POC

This Proof of Concept (POC) involves setting up a Mirth Connect integration to process HL7 messages for communication with the UAE government healthcare system. The workflow includes:

  • Receiving a JSON request via an HTTP Listener.
  • Converting JSON to HL7 format.
  • Sending HL7 data to the UAE government endpoint.
  • Handling real-time HL7 responses, converting them back to JSON, and sending the response to the HTTP requester.
  • Implementing retry logic (configurable, e.g., 3 retries) in case the government server is unreachable.
  • Ensuring nothing is hardcoded and using a config file for parameters like retry count.
  • Supporting JWT Authentication for secure HTTP requests.
  • Creating separate Mirth channels for each message type (ADT, ORM, etc.), starting with ADT messages.
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