Using patient-generated health data more efficient and effectively to facilitate the implementation of value-based healthcare in the EU - Innovation report

被引：1

作者：

Folkvord, Frans ^{[1
,2
]}

Carlson, Jim Ingebretsen ^{[2
]}

Ottaviano, Manuel ^{[3
]}

Carvajal, Diego ^{[3
]}

Gonzalez, Liss Hernandez ^{[3
]}

van de Schoot, Rens ^{[4
]}

Turk, Eva ^{[5
]}

Piera-Jimenez, Jordi ^{[6
,7
]}

Pontes, Caridad ^{[7
,8
]}

Ramiro-Pareta, Marina ^{[7
]}

Carot-Sans, Gerard ^{[6
,7
]}

Podovsovnik, Eva ^{[9
]}

Levasic, Vesna ^{[9
]}

Scheckenbach, Kathrin ^{[10
]}

Wagenmann, Martin ^{[10
]}

Szpisjak, Aron ^{[11
]}

Eliasen, Bogi ^{[11
]}

Wakim, Joe-Max ^{[11
]}

Ernst, Martin ^{[5
]}

Prinzellner, Yvonne ^{[5
]}

Bol, Nadine ^{[1
]}

He, Linwei ^{[1
]}

Krahmer, Emiel ^{[1
]}

Navarro, Claudia ^{[12
]}

Juan, Laia ^{[12
]}

Guerri, Davide ^{[13
]}

Pinna, Laura ^{[13
]}

Genovese, Carmela ^{[13
]}

Benetti, Luciano ^{[13
]}

Macagnano, Chiara ^{[13
]}

Chiarugi, Franco ^{[13
]}

Peeters, Johannes ^{[14
]}

Pedulla, Ludovico ^{[15
]}

Brichetto, Giampaolo ^{[15
,16
]}

Zaratin, Paola ^{[15
]}

Peschke, Seldag Gunes ^{[17
]}

Peschke, Lutz ^{[18
]}

Fico, Giuseppe ^{[3
]}

机构：

[1] Tilburg Univ, Tilburg Sch Humanities & Digital Sci, Commun & Informat Sci, Tilburg, Netherlands

[2] PredictBy, Barcelona, Spain

[3] Univ Politecn Madrid, Sch Telecommun Engn, Photon Technol & Bioengn Dept, Life Supporting Technol, Madrid, Spain

[4] Univ Utrecht, Fac Social & Behav Sci, Dept Methodol & Stat, Utrecht, Netherlands

[5] Univ Appl Sci St Polten, Ctr Digital Hlth & Social Innovat, St Polten, Austria

[6] Catalan Hlth Serv, Barcelona, Spain

[7] Digitalizat Sustainabil Healthcare Syst DS3, Barcelona, Spain

[8] Univ Autonoma Barcelona, Dept Farmacol Terapeutica & Toxicol, Barcelona, Spain

[9] Ortopedska Bolnisn Valdoltra, Ankaran, Slovenia

[10] Dusseldorf Univ Hosp, Dept Otorhinolaryngol, Dusseldorf, Germany

[11] Copenhagen Inst Futures Studies, Copenhagen, Denmark

[12] Medtron Iberica, Madrid, Spain

[13] Dedalus Italia SPA, Florence, Italy

[14] Philips Healthcare, MR Clin Sci, Best, Netherlands

[15] Italian Multiple Sclerosis Fdn, Sci Res Area, Genoa, Italy

[16] Italian Multiple Sclerosis Soc, AISM Rehabil Serv, Genoa, Italy

[17] Ankara Yildirim Beyazit Univ, Fac Law, Ankara, Turkiye

[18] Bilkent Univ, Dept Commun & Design, Ankara, Turkiye

来源：

COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL | 2024年 / 24卷

关键词：

Patient-Generated Health Data; Patient-Reported Outcomes Measures; Patient-Reported Experience Measures; Value-Based Healthcare; Health Technology; Digital Health; Patient Quality of Life;

D O I：

10.1016/j.csbj.2024.10.026

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Healthcare services and products are rapidly changing due to the development of new technologies, offering relevant solutions to improve patient outcomes. Patient-Generated Health Data and knowledge-sharing across the European Union (EU) has a great potential of making healthcare provision more effective and efficient by putting the patient at the centre of the healthcare process. While such initiatives have been taken before, a uniting and overarching approach is still missing. The EU-funded IMPROVE project will develop an evidencebased and actual framework to effectively leverage the added value of people-centred integrated healthcare solutions, using predominantly PROMs, PPI, PREMs, and other Patient-Generated Health Data (PGHD). As a result, the project facilitates the effective and efficient implementation of Value-Based Healthcare across the EU by putting the patient central in the healthcare process.

引用

页码：672 / 678

页数：7

共 5 条

[1] Efficient Health Information Management Based on Patient-Generated Digital Data
Psiha, Maria M.
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[2] Using Patient-Generated Health Data to Facilitate Preoperative Decision Making for Breast Cancer Patients
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[3] USING PATIENT-GENERATED DATA IN THE ELECTRONIC HEALTH RECORD (EHR) TO FACILITATE BEHAVIOR CHANGE: OPPORTUNITIES & CHALLENGES
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[4] Machine Learning-Based COVID-19 Patients Triage Algorithm Using Patient-Generated Health Data from Nationwide Multicenter Database
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[5] Machine Learning-Based COVID-19 Patients Triage Algorithm Using Patient-Generated Health Data from Nationwide Multicenter Database
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INFECTIOUS DISEASES AND THERAPY, 2022, 11 (02) : 787 - 805

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