Integrating genomic-based clinical decision support into electronic health records

2010 ◽  
Vol 7 (2) ◽  
pp. 163-170 ◽  
Author(s):  
Amr Al Mallah ◽  
Paul Guelpa ◽  
Sharon Marsh ◽  
Tibor van Rooij
Keyword(s):  
Decision Support ◽  
Electronic Health Records ◽  
Clinical Decision Support ◽  
Clinical Decision ◽  
Health Records ◽  
Electronic Health

scholarly journals Economic impact of clinical decision support interventions based on electronic health records

2020 ◽  
Author(s):  
Daniel Lewkowicz ◽  
Attila Wohlbrandt ◽  
Erwin Boettinger
Keyword(s):  
Decision Support ◽  
Economic Evaluation ◽  
Electronic Health Records ◽  
Economic Impact ◽  
Clinical Decision Support ◽  
Healthcare Expenditure ◽  
Clinical Decision ◽  
Health Records ◽  
Cost Drivers ◽  
Electronic Health

Abstract Background Unnecessary healthcare utilization, non-adherence to current clinical guidelines, or insufficient personalized care are perpetual challenges and remain potential major cost-drivers for healthcare systems around the world. Implementing decision support systems into clinical care is promised to improve quality of care and thereby yield substantial effects on reducing healthcare expenditure. In this article, we evaluate the economic impact of clinical decision support (CDS) interventions based on electronic health records (EHR).Methods We searched for studies published after 2014 using MEDLINE, CENTRAL, WEB OF SCIENCE, EBSCO, and TUFTS CEA registry databases that encompass an economic evaluation or consider cost outcome measures of EHR based CDS interventions. Thereupon, we identified best practice application areas and categorized the investigated interventions according to an existing taxonomy of front-end CDS tools. Results and discussion Twenty-seven studies are investigated in this review. Of those, twenty-two studies indicate a reduction of healthcare expenditure after implementing an EHR based CDS system, especially towards prevalent application areas, such as unnecessary laboratory testing, duplicate order entry, efficient transfusion practice, or reduction of antibiotic prescriptions. On the contrary, order facilitators and undiscovered malfunctions revealed to be threats and could lead to new cost drivers in healthcare. While high upfront and maintenance costs of CDS systems are a worldwide implementation barrier, most studies do not consider implementation cost. Finally, four included economic evaluation studies report mixed monetary outcome results and thus highlight the importance of further high-quality economic evaluations for these CDS systems. Conclusion Current research studies lack consideration of comparative cost-outcome metrics as well as detailed cost components in their analyses. Nonetheless, the positive economic impact of EHR based CDS interventions is highly promising, especially with regard to reducing waste in healthcare.

scholarly journals The need for Electronic Health Records (EHR) based Clinical Decision Support (CDS) in developing countries like India

2019 ◽  
Vol 7 (4) ◽  
pp. 36-39
Author(s):  
Rengalakshmi Balasubramanian
Keyword(s):  
Health Care ◽  
Decision Support ◽  
Electronic Health Records ◽  
Clinical Research ◽  
Clinical Decision Support ◽  
Clinical Studies ◽  
Clinical Decision ◽  
Health Records ◽  
Electronic Health ◽  
Research Studies

Electronic health records (EHRs), an integrated approach is gaining importance not only within healthcare organizations and with their related stakeholders but also with the clinical research studies. EHR-based clinical decision support (CDS) systems in clinical studies have been proven successful in many clinical studies. The World Health Organization has emphasised the necessity to revolutionise the healthcare system in all levels, from primary health care and community service to health care research and this started with the implementation of EHR services extensively in various health care systems. Further, American and European healthcare systems are keen in improving EHR-based measurements to enable interoperability for future integrations of multiple data sources, which in turn would prove beneficial in the global platform for not only to the provider, patient, and other healthcare stakeholders but also for clinical research studies. This paper discusses the EHR in clinical research, the challenges in the EHR, and the need for developing nations to adopt and develop EHR.

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