Developing PRISM: A Pragmatic Institutional Survey and Bench Marking Tool to Measure Digital Research Maturity of Cancer Centers.

Autor:	Albiñana CB; IQVIA, London, United Kingdom., Pallocca M; IRCCS Istituto Nazionale Tumori Regina Elena, Rome, Italy., Fenton H; IQVIA, London, United Kingdom.; Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom., Sopwith W; IQVIA, London, United Kingdom.; Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom., Eden CV; IQVIA, London, United Kingdom., Akre O; Karolinska Comprehensive Cancer Center, Stockholm, Sweden., Auranen A; Tays Cancer Centre, Pirkanmaa, Finland., Bocquet F; Data Factory & Analytics Department, Institut de Cancérologie de l'Ouest, Nantes-Angers, France., Borges M; IQVIA, London, United Kingdom.; Instituto Português de Oncologia do Porto Francisco Gentil, Porto, Portugal., Calvo E; START Madrid-CIOCC, Centro Integral Oncológico Clara Campal, Madrid, Spain., Corkett J; Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom., Di Cosimo S; Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy., Gentili N; IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) 'Dino Amadori,' Meldola, Italy., Guérin J; Data Office, Institut Curie, Paris, France., Jor S; Oslo University Hospital Cancer Center, Oslo, Norway., Kazda T; Masaryk Memorial Cancer Institute, Brno, Jihomoravský, Czechia., Kolar A; Institute of Oncology Ljubljana, Ljubljana, Slovenia., Kuschel T; Charité, Universitätsmedizin Berlin, Berlin, Germany., Lostes MJ; Vall d'Hebron University Hospital, Barcelona, Spain., Paratore C; University Hospital San Luigi Gonzaga of Orbassano, Orbassano TO, Italy., Pedrazzoli P; Fondazione I.R.C.C.S. Policlinico San Matteo, Pavia PV, Italy., Petrovic M; Sestre Milosrdnice University Hospital, Zagreb, Croatia., Raid J; Tartu University Hospital, Tartu, Tartumaa, Estonia., Roche M; Trinity St James's Cancer Institute, Dublin, Ireland., Schatz C; Biobank Innsbruck, Innsbruck, Austria., Thonnard J; Cliniques Universitaires Saint-Luc, Brussels, Belgium., Tonon G; IRCCS San Raffaele Scientific Institute, Milan, Italy., Traverso A; IRCCS San Raffaele Scientific Institute, Milan, Italy.; Maastricht Comprehensive Cancer Center, Maastricht, The Netherlands.; DIGICORE, Bruxelles, Belgium., Wolf A; University Cancer Center Frankfurt (UCT), University Hospital, Goethe University, Frankfurt, Germany., Zedan AH; Vejle Hospital, University of Southern Denmark, Vejle, Denmark., Mahon P; IQVIA, London, United Kingdom.; DIGICORE, Bruxelles, Belgium.
Jazyk:	angličtina
Zdroj:	Applied clinical informatics [Appl Clin Inform] 2024 Aug; Vol. 15 (4), pp. 743-750. Date of Electronic Publication: 2024 Sep 11.
DOI:	10.1055/s-0044-1788331
Abstrakt:	Background:  Multicenter precision oncology real-world evidence requires a substantial long-term investment by hospitals to prepare their data and align on common Clinical Research processes and medical definitions. Our team has developed a self-assessment framework to support hospitals and hospital networks to measure their digital maturity and better plan and coordinate those investments. From that framework, we developed PRISM for Cancer Outcomes: PR: agmatic I: nstitutional S: urvey and benchM: arking. Objectives:  The primary objective was to develop PRISM as a tool for self-assessment of digital maturity in oncology hospitals and research networks; a secondary objective was to create an initial benchmarking cohort of >25 hospitals using the tool as input for future development. Methods:  PRISM is a 25-question semiquantitative self-assessment survey developed iteratively from expert knowledge in oncology real-world study delivery. It covers four digital maturity dimensions: (1) Precision oncology, (2) Clinical digital data, (3) Routine outcomes, and (4) Information governance and delivery. These reflect the four main data types and critical enablers for precision oncology research from routine electronic health records. Results:  During piloting with 26 hospitals from 19 European countries, PRISM was found to be easy to use and its semiquantitative questions to be understood in a wide diversity of hospitals. Results within the initial benchmarking cohort aligned well with internal perspectives. We found statistically significant differences in digital maturity, with Precision oncology being the most mature dimension, and Information governance and delivery the least mature. Conclusion:  PRISM is a light footprint benchmarking tool to support the planning of large-scale real-world research networks. It can be used to (i) help an individual hospital identify areas most in need of investment and improvement, (ii) help a network of hospitals identify sources of best practice and expertise, and (iii) help research networks plan research. With further testing, policymakers could use PRISM to better plan digital investments around the Cancer Mission and European Digital Health Space. Competing Interests: None declared. (Thieme. All rights reserved.)
Databáze:	MEDLINE
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