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

Author:

Albiñana Carlos Berenguer1,Pallocca Matteo2,Fenton Hayley,Sopwith Will,Eden Charlie Van1,Akre Olof3,Auranen Annika4,Bocquet François5,Borges Marina,Calvo Emiliano6,Corkett John7,Cosimo Serena Di8,Gentili Nicola9,Guérin Julien10,Jor Sissel11,Kazda Tomas12,Kolar Alenka13,Kuschel Tim14,Lostes Maria Julia15,Paratore Chiara16,Pedrazzoli Paolo17,Petrovic Marko18,Raid Jarno19,Roche Miriam20,Schatz Christoph21,Thonnard Joelle22,Tonon Giovanni23,Traverso Alberto,Wolf Andrea24,Zedan Ahmed H.25,Mahon Piers

Affiliation:

1. IQVIA, London, United Kingdom

2. IRCCS Istituto Nazionale Tumori Regina Elena, Rome, Italy

3. Karolinska Comprehensive Cancer Center, Stockholm, Sweden

4. Tays Cancer Centre, Pirkanmaa, Finland

5. Data Factory & Analytics Department, Institut de Cancérologie de l'Ouest, Nantes-Angers, France

6. START Madrid-CIOCC, Centro Integral Oncológico Clara Campal, Madrid, Spain

7. Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom

8. Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy

9. IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori,” Meldola, Italy

10. Data Office, Institut Curie, Paris, France

11. Oslo University Hospital Cancer Center, Oslo, Norway

12. Masaryk Memorial Cancer Institute, Brno, Jihomoravský, Czechia

13. Institute of Oncology Ljubljana, Ljubljana, Slovenia

14. Charité, Universitätsmedizin Berlin, Berlin, Germany

15. Vall d'Hebron University Hospital, Barcelona, Spain

16. University Hospital San Luigi Gonzaga of Orbassano, Orbassano TO, Italy

17. Fondazione I.R.C.C.S. Policlinico San Matteo, Pavia PV, Italy

18. Sestre Milosrdnice University Hospital, Zagreb, Croatia

19. Tartu University Hospital, Tartu, Tartumaa, Estonia

20. Trinity St James's Cancer Institute, Dublin, Ireland

21. Biobank Innsbruck, Innsbruck, Austria

22. Cliniques Universitaires Saint-Luc, Brussels, Belgium

23. IRCCS San Raffaele Scientific Institute, Milan, Italy

24. University Cancer Center Frankfurt (UCT), University Hospital, Goethe University, Frankfurt, Germany

25. Vejle Hospital, University of Southern Denmark, Vejle, Denmark

Abstract

Abstract 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: PRagmatic Institutional Survey and benchMarking. 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.

Publisher

Georg Thieme Verlag KG

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