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Enhancing Medical Data Integration

Case Study

Enhancing Medical Data Integration

Implementing ECG Image Attachment in Mobile App with FHIR R4 Messaging

Mindteck’s solution streamlined the customer’s workflow of uploading ECG images to the hospital’s EHR system by integrating with FHIR and upgrading the existing app. 

Approach

Streamlining ECG Image Integration: Mindteck’s Comprehensive Approach

  • Conducted comprehensive analysis of manual ECG image uploading process.

  • Identified pain points and inefficiencies within the process.

  • Leveraged expertise in mobile app development and healthcare technology.

  • Designed solution to enhance existing app for seamless ECG image attachment.

  • Integrated FHIR protocol for standardized data transmission to EHR server.

  • Conducted iterative development and collaborated closely with healthcare professionals.

  • Refined and validated solution to effectively meet user needs.

  • Prioritized seamless integration with hospital’s EHR system and provided ongoing support for successful
    implementation.

Solution

Optimizing ECG Image Uploads  

Mindteck first analyzed the existing manual image uploading process. Leveraging our expertise, we enhanced the existing app for seamless image attachment and integrated the FHIR protocol for standardized data transmission. Through iterative development and collaboration, we refined the solution to meet user needs effectively. We prioritized seamless integration with the hospital’s EHR system and provided support for successful implementation, emphasizing flexibility for timely results and improved healthcare processes.

Outcome

Mindteck’s solution optimized the ECG data management workflow for the customer, streamlining processes and boosting efficiency. Through the utilization of FHIR standards, the solution guarantees smooth interoperability with the hospital’s EHR system, simplifying data exchange. Despite encountering difficulties accessing beta site details initially, Mindteck displayed adaptability by effectively utilizing the OpenEHR server as an alternative. The solution was developed on iOS and utilized XCode and Swift.

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