Cost-benefit assessment of using electronic health records data for clinical research versus current practices: Contribution of the Electronic Health Records for Clinical Research (EHR4CR) European Project

被引:29
|
作者
Beresniak, Ariel [1 ]
Schmidt, Andreas [2 ]
Proeve, Johann [3 ]
Bolanos, Elena [4 ]
Patel, Neelam [5 ]
Ammour, Nadir [6 ]
Sundgren, Mats [7 ]
Ericson, Mats [8 ]
Karakoyun, Toeresin [9 ]
Coorevits, Pascal [10 ,11 ]
Kalra, Dipak [10 ]
De Moor, Georges [11 ]
Dupont, Danielle [1 ]
机构
[1] Data Min Int, CH-1215 Geneva 15, Switzerland
[2] F Hoffmann La Roche & Co Ltd, CH-4070 Basel, Switzerland
[3] Bayer Healthcare, D-51368 Leverkusen, Germany
[4] Eli Lilly & Co, Alcobendas 28108, Spain
[5] Eli Lilly & Co, Windlesham, Surrey, England
[6] Sanofi Aventis R&D, F-91380 Chilly Mazarin, France
[7] AstraZeneca, SE-43183 Molndal, Sweden
[8] Amgen Inc, F-92523 Neuilly Sur Seine, France
[9] Univ Dusseldorf, D-40225 Dusseldorf, Germany
[10] European Inst Hlth Records EuroRec, B-9000 Ghent, Belgium
[11] Univ Ghent, Dept Publ Hlth, Unit Med Informat & Stat, B-9000 Ghent, Belgium
关键词
Cost-benefit analyses; Electronic health records; Clinical trials; RECRUITMENT; QUALITY; TRIALS;
D O I
10.1016/j.cct.2015.11.011
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Introduction: The widespread adoption of electronic health records (EHR) provides a new opportunity to improve the efficiency of clinical research. The European EHR4CR (Electronic Health Records for Clinical Research) 4-year project has developed an innovative technological platform to enable the re-use of EHR data for clinical research. The objective of this cost-benefit assessment (CBA) is to assess the value of EHR4CR solutions compared to current practices, from the perspective of sponsors of clinical trials. Materials and methods: A CBA model was developed using an advanced modeling approach. The costs of performing three clinical research scenarios (S) applied to a hypothetical Phase II or III oncology clinical trial workflow (reference case) were estimated under current and EHR4CR conditions, namely protocol feasibility assessment (S1), patient identification for recruitment (S2), and clinical study execution (S3). The potential benefits were calculated considering that the estimated reduction in actual person-time and costs for performing EHR4CR S1, S2, and S3 would accelerate time to market (TTM). Probabilistic sensitivity analyses using Monte Carlo simulations were conducted to manage uncertainty. Results: Should the estimated efficiency gains achieved with the EHR4CR platform translate into faster TTM, the expected benefits for the global pharmaceutical oncology sector were estimated at (sic)161.5 m (S1), (sic)45.7 m (S2), (sic)204.5 m (S1 + S2), (sic)1906 m (S3), and up to (sic)2121.8 m (S1 + S2 + S3) when the scenarios were used sequentially. Conclusions: The results suggest that optimizing clinical trial design and execution with the EHR4CR platform would generate substantial added value for pharmaceutical industry, as main sponsors of clinical trials in Europe, and beyond. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:85 / 91
页数:7
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