Personally Collected Health Data for Precision Medicine and Longitudinal Research

Frontiers in Medicine

article

Pierluigi D'Antrassi¹  Marco Prenassi³  Lorenzo Rossi⁴  Roberta Ferrucci²  Sergio Barbieri²  Alberto Priori⁶  Sara Marceglia² 

[1] Dipartimento di Elettronica;U.O. Neurofisiopatologia, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico;Dipartimento di Ingegneria e Architettura, Università degli Studi di Trieste;Newronika S.r.l.;Dipartimento di Scienze della Salute, “Aldo Ravelli” Research Center for Neurotechnology and Experimental Brain Therapeutics, Università degli Studi di Milano;ASST Santi Paolo e Carlo

关键词: personal health records;    personal health systems;    personal health monitoring;    telehealth;    longitudinal studies;   

DOI  :  10.3389/fmed.2019.00125

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

Health data autonomously collected by users are presently considered as largely beneficial for wellness, prevention, disease management, as well as clinical research, especially when longitudinal, chronic, home-based monitoring is needed. However, data quality and reliability are the main barriers to overcome, in order to exploit such potential. To this end, we designed, implemented, and tested a system to integrate patient-generated personally collected health data into the clinical research data workflow, using a standards-based architecture that ensures the fulfillment of the major requirements for digital data in clinical studies. The system was tested in a clinical investigation for the optimization of deep brain stimulation (DBS) therapy in patients with Parkinson's disease that required both the collection of patient-generated data and of clinical and neurophysiological data. The validation showed that the implemented system was able to provide a reliable solution for including the patient as direct digital data source, ensuring reliability, integrity, security, attributability, and auditability of data. These results suggest that personally collected health data can be used as a reliable data source in longitudinal clinical research, thus improving holistic patient's personal assessment and monitoring.

【 授权许可】

CC BY