AI medical image analysis

EHR Integration Platform For Diagnostic Imaging Devices

Client

A MedTech company offers automated retinal imaging devices for the early detection of eye diseases. Their solution is used in primary care settings across the United States and requires seamless integration with provider Electronic Health Record (EHR) systems.

Location:

United States

Industry:

Healthcare

Services

Custom Healthcare Software Development, FHIR Services, Healthcare Compliance

Tech stack:

  • MirthConnect
  • HL7
  • FHIR
  • SMART-on-FHIR
  • REST

Delivered value

  • Developed and implemented bi-directional EHR integration strategy using SMART-on-FHIR application and HL7 interfaces to maximize compatibility and minimize onboarding friction;
  • Built a Doctor Smart App to enable physicians to securely export patient data from EHRs to the medical device manufacturer’s cloud-based diagnostic system;
  • Designed and deployed an HL7-based integration platform to support providers not using Smart Apps;
  • Ensured secure and compliant data exchange through a HIPAA-compliant infrastructure hosted in the cloud;
  • Supported onboarding to major EHR vendor marketplaces (Epic, eClinicalWorks) with preparation of submissions and technical documentation;
  • Delivered scalable integration workflows to support rapid growth, with a long-term roadmap for ongoing FHIR-based enhancements and interoperability.

Success stories

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SPsoft and our innovative client teamed up to harness AI for analyzing large histopathology images to identify the Nancy Index, which is crucial for cancer cell detection. They aimed to integrate FHIR for smooth data exchange amidst challenges posed by digital microscopic image extensions. That led to a refined platform, accelerating cancer detection and treatment.

View Case Advancing Histopathology through AI: a Path To Accurate Cancer Detection and Treatment

Harnessing AI to Improve Cancer Detection

SPsoft partnered with the client from the life science sector to speed up drug development and precision medicine. They aimed to use AI for analyzing histopathological images to find the Nancy Index, the key to identifying cancer cells. This collaboration resulted in a platform capable of managing large amounts of data from digital microscopic images, using FHIR to ensure data sharing and accelerate cancer treatment approaches.

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SPsoft helped redefine the client’s virtual care platform, focusing on comprehensive treatment for the chronic disease - type 2 diabetes. The collaboration led to the development of a scalable, user-friendly solution that enhances patient engagement.

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