Integration of Registries with EHRs to Accelerate Generation of Real-World Evidence for Clinical Practice and Learning Health Systems Research

2020 ◽  
Vol 102 (19) ◽  
pp. e110
Author(s):  
Patricia D. Franklin ◽  
Jon Lurie ◽  
Tor D. Tosteson ◽  
Anna N.A. Tosteson
2020 ◽  
Vol 14 ◽  
pp. 117954682095341 ◽  
Author(s):  
Todd C Villines ◽  
Mark J Cziraky ◽  
Alpesh N Amin

Real-world evidence (RWE) provides a potential rich source of additional information to the body of data available from randomized clinical trials (RCTs), but there is a need to understand the strengths and limitations of RWE before it can be applied to clinical practice. To gain insight into current thinking in clinical decision making and utility of different data sources, a representative sampling of US cardiologists selected from the current, active Fellows of the American College of Cardiology (ACC) were surveyed to evaluate their perceptions of findings from RCTs and RWE studies and their application in clinical practice. The survey was conducted online via the ACC web portal between 12 July and 11 August 2017. Of the 548 active ACC Fellows invited as panel members, 173 completed the survey (32% response), most of whom were board certified in general cardiology (n = 119, 69%) or interventional cardiology (n = 40, 23%). The survey results indicated a wide range of familiarity with and utilization of RWE amongst cardiologists. Most cardiologists were familiar with RWE and considered RWE in clinical practice at least some of the time. However, a significant minority of survey respondents had rarely or never applied RWE learnings in their clinical practice, and many did not feel confident in the results of RWE other than registry data. These survey findings suggest that additional education on how to assess and interpret RWE could help physicians to integrate data and learnings from RCTs and RWE to best guide clinical decision making.


Author(s):  
Denis Horgan ◽  
Gennaro CILIBERTO ◽  
Pierfranco Conte ◽  
Giuseppe CURIGLIANO ◽  
Luis Seijo ◽  
...  

Rapid and continuing advances in biomarker testing are not being matched by take-up in health systems, and this is hampering both patient care and innovation. It also risks costing health systems the opportunity to make their services more efficient and, over time, more economical. The potential that genomics has brought to biomarker testing in diagnosis, prediction and research is being realised, pre-eminently in many cancers, but also in an ever-wider range of conditions. One of the paradigmatic examples is BRCA1/2 testing in ovarian, breast, pancreatic and prostate cancers. Nevertheless, development is impeded by data deficiencies, and lack of policy alignment on standards, approval – and the role of real-world evidence in the process - and reimbursement. The acute nature of the problem is compellingly illustrated by the particular challenges facing the development and use of tumour agnostic therapies, where the gaps in preparedness for taking advantage of this innovative approach to cancer therapy are sharply exposed. Europe should already have in place a guarantee of universal access to a minimum suite of biomarker tests and should be planning for an optimum testing scenario with a wider range of biomarker tests integrated into a more sophisticated health system articulated around personalised medicine. Improving healthcare and winning advantages for Europe's industrial competitiveness and innovation require an appropriate policy framework – starting with an update to outdated recommendations.


2021 ◽  
Author(s):  
OV Zhukova ◽  
AL Khokholov

The features of evaluating data from real clinical practice are discussed. Approaches to material processing for decision support in medicine and health care are also given. The development of standardized methods of analysis with the possibility of obtaining a unified indicator for assessing data from routine clinical practice, combined with the development of information technology is the direction of development of the concept of result-oriented health care. The classification of information technologies used in medicine and public health is presented. The main characteristics and functioning features of the developed software modules for automated data evaluation of real clinical practice are presented: a program for the distribution of drugs on the levels of clinical efficacy, a program to assess the effectiveness of therapy for the specified period; a program to determine the interval of clinical efficacy of drugs.


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