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Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

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A SOA-Based Platform to Support Clinical Data Sharing

R Gazzarata¹, B Giannini¹, M Giacomini^1,2

¹Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), University of Genoa, Via Opera Pia 13, 16145 Genoa, Italy

Journal of Healthcare Engineering

|October 27, 2017

Summary

This summary is machine-generated.

This study developed an interoperable system for electronic health records (EHRs) to capture eSource data for clinical research. The architecture facilitates data sharing but is currently limited to the "Connected" tier due to hospital policies.

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Area of Science:

Health Informatics
Clinical Research Informatics
Data Standards in Healthcare

Background:

The eSource Data Interchange Group proposed scenarios for eSource data capture.
Electronic health records (EHRs) need adaptation for clinical research.
Four tiers were defined to adapt EHR functionality for research.

Purpose of the Study:

To develop a system for the "Interoperable" Tier of eSource data capture.
To enhance integration between patient care and medical research.
To enable clinical data sharing between hospital and data management systems.

Main Methods:

Adopted a service-oriented architecture for technical interoperability.
Utilized Health Level Seven Version 3 messages and LOINC vocabulary for semantic interoperability.
Employed Healthcare Services Specification Project standards for process interoperability.
Implemented a cloud-based architecture with standardized services and interfaces.

Main Results:

Developed an architecture enabling clinical data sharing between hospital information systems and clinical data management systems/registries.
The system was approved by medical staff, reducing clinical trial management workload.
The architecture supports the "Interoperable" Tier but is currently implemented at the "Connected" Tier.

Conclusions:

The developed architecture successfully integrates patient care and medical research data.
Standardized components facilitate technical, semantic, and process interoperability.
Local hospital policies currently restrict the system's implementation to the "Connected" Tier, highlighting a gap between technical capability and practical deployment.