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

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Published on: April 12, 2021

p-medicine: A Medical Informatics Platform for Integrated Large Scale Heterogeneous Patient Data.

J Marés¹, L Shamardin¹, G Weiler²

¹University College London, London, United Kingdom.

AMIA ... Annual Symposium Proceedings. AMIA Symposium

|May 9, 2015

Summary

This summary is machine-generated.

This study introduces a secure, distributed platform for integrating diverse patient data, including genomics and clinical records. This informatics solution facilitates population health studies and personalized medicine, improving patient care.

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Area of Science:

Medical Informatics
Bioinformatics
Health Data Management

Background:

Increasing importance of secure patient data access for population health and personalized medicine.
Challenges in assembling diverse clinical data, especially across national borders.
Need for integrated data solutions in healthcare.

Purpose of the Study:

To present a novel distributed informatics platform for secure patient data integration.
To enable the assembly and linkage of heterogeneous patient data (genomics, imaging, clinical records).
To support advanced analytics for understanding complex health data.

Main Methods:

Development of an easy-to-use distributed informatics platform.
Implementation of a state-of-the-art data warehouse with secure pseudonymization.
Integration of diverse patient-derived data types.

Main Results:

Successful creation of a platform for assembling and linking various patient data.
Establishment of a secure system protecting personal healthcare data through pseudonymization.
Demonstration of connectivity with analytics tools for data interpretation.

Conclusions:

The platform facilitates research with immediate clinical impact for personalized patient healthcare.
Enables comprehensive data analysis for improved understanding of patient health.
Addresses the challenges of cross-border data integration in medical informatics.