Quality evaluation of cardiac decision support systems using ISO 25010 standard

Clinical decision support system (CDSS) is a technology designed to assist physicians and medical stuff with clinical decision-making tasks. It aims to better the safety and quality of patient care, improve patient care treatments and outcomes, decrease the dependence on memory, lower error rates, and decrease response time. CDSS is not intended to replace clinician judgment, but it supports users with the detection and prevention of possible risks to patient safety and encouraging the appropriate usage of evidence-based practice and guidelines. The benefits of the CDSSs contribute in increasing the number of e-health applications in recent years. Cardiology healthcare institutions are adopting such systems in their departments in order to assist cardiologists when making their decisions. This study proposes a set of cardiac DSS requirements and measures the influence of these requirements on software product quality using the ISO/IEC 25010 software quality model. A checklist of cardiac DSS requirements is also presented. As a result, Functional suitability, Reliability, Performance efficiency and Operability external characteristics were identified as the most influenced by cardiac DSS requirements.

[1]  Ali Abdulwahab Ali Al-Habsi,et al.  A communication module for mobile personal health record , 2013, 2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO).

[2]  Alain Abran,et al.  On the Use of Software Quality Standard ISO/IEC9126 in Mobile Environments , 2013, 2013 20th Asia-Pacific Software Engineering Conference (APSEC).

[3]  P. Ravaud,et al.  A clinical decision support system for prevention of venous thromboembolism: effect on physician behavior. , 2000, JAMA.

[4]  H. Olesen,et al.  ID Proof on the Go: Development of a Mobile EEG-Based Biometric Authentication System , 2012, IEEE Vehicular Technology Magazine.

[5]  Ali Idri,et al.  Electronic health records for cardiovascular medicine , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[6]  J. Marc Overhage,et al.  Details of a Successful Clinical Decision Support System , 2007, AMIA.

[7]  Xinjian Chen,et al.  A Secured Mobile Phone Based on Embedded Fingerprint Recognition Systems , 2005, ISI.

[8]  Duncan S. Wong,et al.  Touch Gestures Based Biometric Authentication Scheme for Touchscreen Mobile Phones , 2012, Inscrypt.

[9]  Adam Wright,et al.  White paper: A Roadmap for National Action on Clinical Decision Support , 2007, J. Am. Medical Informatics Assoc..

[10]  Ali Idri,et al.  Evaluating Software Product Quality: A Systematic Mapping Study , 2014, 2014 Joint Conference of the International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement.

[11]  L. Hayden,et al.  Ten Commandments for Effective Clinical Decision Support: Making the Practice of Evidence-based Medicine a Reality , 2011 .

[12]  Ali Idri,et al.  A Framework for Evaluating the Software Product Quality of Pregnancy Monitoring Mobile Personal Health Records , 2016, Journal of Medical Systems.

[13]  Patrick Blake,et al.  Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine , 2015, Journal of Clinical Bioinformatics.

[14]  Jacques Donzé,et al.  Prospective validation of the Pulmonary Embolism Severity Index , 2008, Thrombosis and Haemostasis.

[15]  Arpad Kelemen,et al.  Considerations for a Successful Clinical Decision Support System , 2013, Computers, informatics, nursing : CIN.

[16]  Ali Idri,et al.  Applying ISO/IEC 25010 on Mobile Personal Health Records , 2015, HEALTHINF.

[17]  R. Stafford,et al.  Electronic health records and clinical decision support systems: impact on national ambulatory care quality. , 2011, Archives of internal medicine.

[18]  J. Osheroff,et al.  Clinical Decision Support Systems : State of the Art , 2009 .

[19]  Ali Idri,et al.  Predicting Software Product Quality: A Systematic Mapping Study , 2015, Computación y Sistemas.

[20]  Ali Idri,et al.  Software Quality Requirements: A Systematic Mapping Study , 2013, 2013 20th Asia-Pacific Software Engineering Conference (APSEC).

[21]  Eta S. Berner,et al.  Clinical Decision Support Systems , 1999, Health Informatics.

[22]  Miriam C.J.M. Sturkenboom,et al.  Electronic Alerts Versus On-Demand Decision Support to Improve Dyslipidemia Treatment: A Cluster Randomized Controlled Trial , 2008, Circulation.

[23]  R. Beaglehole,et al.  The real contribution of the major risk factors to the coronary epidemics: time to end the "only-50%" myth. , 2001, Archives of internal medicine.

[24]  Mohamed Khalifa,et al.  Clinical Decision Support: Strategies for Success , 2014, EUSPN/ICTH.

[25]  Jeremy C. Wyatt,et al.  9. Decision support systems , 2000 .

[26]  Ali Idri,et al.  Evaluating a decision making system for cardiovascular dysautonomias diagnosis , 2016, SpringerPlus.

[27]  E. Balas,et al.  Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success , 2005, BMJ : British Medical Journal.

[28]  S. Yusuf,et al.  Global burden of cardiovascular diseases: part I: general considerations, the epidemiologic transition, risk factors, and impact of urbanization. , 2001, Circulation.

[29]  J. Wyatt Decision support systems. , 2000, Journal of the Royal Society of Medicine.