Literature DB >> 36070800

Integration of Risk Scores and Integration Capability in Electronic Patient Records.

Ann-Kathrin Heider1, Harald Mang2.   

Abstract

BACKGROUND: Digital availability of patient data is continuously improving with the increasing implementation of electronic patient records in physician practices. The emergence of digital health data defines new fields of application for data analytics applications, which in turn offer extensive options of using data. Common areas of data analytics applications include decision support, administration, and fraud detection. Risk scores play an important role in compiling algorithms that underlay tools for decision support.
OBJECTIVES: This study aims to identify the current state of risk score integration and integration capability in electronic patient records for cardiovascular disease and diabetes in German primary care practices.
METHODS: We developed an evaluation framework to determine the current state of risk score integration and future integration options for four cardiovascular disease risk scores (arriba, Pooled Cohort Equations, QRISK3, and Systematic Coronary Risk Evaluation) and two diabetes risk scores (Finnish Diabetes Risk Score and German Diabetes Risk Score). We then used this framework to evaluate the integration of risk scores in common practice software solutions by examining the software and inquiring the respective software contact person.
RESULTS: Our evaluation showed that the most widely integrated risk score is arriba, as recommended by German medical guidelines. Every software version in our sample provided either an interface to arriba or the option to implement one. Our assessment of integration capability revealed a more nuanced picture. Results on data availability were mixed. Each score contains at least one variable, which requires laboratory diagnostics. Our analysis of data standardization showed that only one score documented all variables in a standardized way.
CONCLUSION: Our assessment revealed that the current state of risk score integration in physician practice software is rather low. Integration capability currently faces some obstacles. Future research should develop a comprehensive framework that considers the reasonable integration of risk scores into practice workflows, disease prevention programs, and the awareness of physicians and patients. Thieme. All rights reserved.

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Year:  2022        PMID: 36070800      PMCID: PMC9451952          DOI: 10.1055/s-0042-1756367

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.762


  28 in total

1.  2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines.

Authors:  David C Goff; Donald M Lloyd-Jones; Glen Bennett; Sean Coady; Ralph B D'Agostino; Raymond Gibbons; Philip Greenland; Daniel T Lackland; Daniel Levy; Christopher J O'Donnell; Jennifer G Robinson; J Sanford Schwartz; Susan T Shero; Sidney C Smith; Paul Sorlie; Neil J Stone; Peter W F Wilson; Harmon S Jordan; Lev Nevo; Janusz Wnek; Jeffrey L Anderson; Jonathan L Halperin; Nancy M Albert; Biykem Bozkurt; Ralph G Brindis; Lesley H Curtis; David DeMets; Judith S Hochman; Richard J Kovacs; E Magnus Ohman; Susan J Pressler; Frank W Sellke; Win-Kuang Shen; Sidney C Smith; Gordon F Tomaselli
Journal:  Circulation       Date:  2013-11-12       Impact factor: 29.690

2.  Predictive and prognostic models: implications for healthcare decision-making in a modern recession.

Authors:  F Randy Vogenberg
Journal:  Am Health Drug Benefits       Date:  2009-09

Review 3.  2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes-2021.

Authors: 
Journal:  Diabetes Care       Date:  2021-01       Impact factor: 19.112

4.  Evaluation of Electronic Health Record-Based Suicide Risk Prediction Models on Contemporary Data.

Authors:  Rod L Walker; Susan M Shortreed; Rebecca A Ziebell; Eric Johnson; Jennifer M Boggs; Frances L Lynch; Yihe G Daida; Brian K Ahmedani; Rebecca Rossom; Karen J Coleman; Gregory E Simon
Journal:  Appl Clin Inform       Date:  2021-08-18       Impact factor: 2.762

5.  Absolute risk assessment for guiding cardiovascular risk management in a chest pain clinic.

Authors:  J Andrew Black; Julie A Campbell; Serena Parker; James E Sharman; Mark R Nelson; Petr Otahal; Garry Hamilton; Thomas H Marwick
Journal:  Med J Aust       Date:  2021-02-23       Impact factor: 7.738

6.  Implementing electronic health care predictive analytics: considerations and challenges.

Authors:  Ruben Amarasingham; Rachel E Patzer; Marco Huesch; Nam Q Nguyen; Bin Xie
Journal:  Health Aff (Millwood)       Date:  2014-07       Impact factor: 6.301

7.  2016 European Guidelines on cardiovascular disease prevention in clinical practice: The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of 10 societies and by invited experts)Developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR).

Authors:  Massimo F Piepoli; Arno W Hoes; Stefan Agewall; Christian Albus; Carlos Brotons; Alberico L Catapano; Marie-Therese Cooney; Ugo Corrà; Bernard Cosyns; Christi Deaton; Ian Graham; Michael Stephen Hall; F D Richard Hobbs; Maja-Lisa Løchen; Herbert Löllgen; Pedro Marques-Vidal; Joep Perk; Eva Prescott; Josep Redon; Dimitrios J Richter; Naveed Sattar; Yvo Smulders; Monica Tiberi; H Bart van der Worp; Ineke van Dis; W M Monique Verschuren; Simone Binno
Journal:  Eur Heart J       Date:  2016-05-23       Impact factor: 29.983

8.  A systematic review of trials evaluating success factors of interventions with computerised clinical decision support.

Authors:  Stijn Van de Velde; Annemie Heselmans; Nicolas Delvaux; Linn Brandt; Luis Marco-Ruiz; David Spitaels; Hanne Cloetens; Tiina Kortteisto; Pavel Roshanov; Ilkka Kunnamo; Bert Aertgeerts; Per Olav Vandvik; Signe Flottorp
Journal:  Implement Sci       Date:  2018-08-20       Impact factor: 7.327

9.  Cardiovascular risk algorithms in primary care: Results from the DETECT study.

Authors:  Tanja B Grammer; Alexander Dressel; Ingrid Gergei; Marcus E Kleber; Ulrich Laufs; Hubert Scharnagl; Uwe Nixdorff; Jens Klotsche; Lars Pieper; David Pittrow; Sigmund Silber; Hans-Ulrich Wittchen; Winfried März
Journal:  Sci Rep       Date:  2019-01-31       Impact factor: 4.379

Review 10.  An overview of clinical decision support systems: benefits, risks, and strategies for success.

Authors:  Reed T Sutton; David Pincock; Daniel C Baumgart; Daniel C Sadowski; Richard N Fedorak; Karen I Kroeker
Journal:  NPJ Digit Med       Date:  2020-02-06
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