A decision support system for healthcare system quality improvement in blood centres: a case from Turkey

ABSTRACT Health-care facilities around the world are evolving in order to provide more efficient health-care services. This involves adopting new technologies to achieve projected productivity goals. The developments through information technologies, facilitate the mechanisms in many areas such as the health-care systems. This study proposes Service-Orientated Architecture (SOA) to provide an integrated system to support effective communication among previously disconnected systems. This was applied in a health-care enterprise responsible for blood collection and distribution. The results of the study show that by combining databases, knowledge bases and regulations with SOA feeds, remarkable improvements can be obtained, compared to previously used systems.

[1]  William Nick Street,et al.  Healthcare information systems: data mining methods in the creation of a clinical recommender system , 2011, Enterp. Inf. Syst..

[2]  Mohsen Sharifi,et al.  Business process monitoring via decentralized complex event processing , 2018, Enterp. Inf. Syst..

[3]  Leonid Stoimenov,et al.  On defining a model driven architecture for an enterprise e-health system , 2018, Enterp. Inf. Syst..

[4]  Kazuo Furuta,et al.  On a Unified Definition of the Service System: What is its Identity? , 2014, IEEE Systems Journal.

[5]  David Romero,et al.  A service-oriented architecture and its ICT-infrastructure to support eco-efficiency performance monitoring in manufacturing enterprises , 2017, Int. J. Comput. Integr. Manuf..

[6]  Ricardo Jardim-Gonçalves,et al.  Model-driven data-intensive Enterprise Information Systems , 2018, Enterp. Inf. Syst..

[7]  E. Shortliffe Clinical decision-support systems , 1990 .

[8]  Burak Erkayman,et al.  Transition to a JIT production system through ERP implementation: a case from the automotive industry , 2018, Int. J. Prod. Res..

[9]  Bernard Kamsu-Foguem,et al.  Service-Oriented Computing for intelligent train maintenance , 2018, Enterp. Inf. Syst..

[10]  J. Barnes,et al.  A Qualitative Exploration of Weight Bias and Quality of Health Care Among Health Care Professionals Using Hypothetical Patient Scenarios , 2018, Inquiry : a journal of medical care organization, provision and financing.

[11]  Helmut Krcmar,et al.  A web-based system architecture for ontology-based data integration in the domain of IT benchmarking , 2017, Enterp. Inf. Syst..

[12]  Angappa Gunasekaran,et al.  A pragmatic decision model for inventory management with heterogeneous suppliers , 2018, Enterp. Inf. Syst..

[13]  P. Williamson,et al.  Quality Measurement Recommendations Relevant to Clinical Guidelines in Germany and the United Kingdom: (What) Can We Learn From Each Other? , 2018, Inquiry : a journal of medical care organization, provision and financing.

[14]  Fabrizio Maria Maggi,et al.  Designing software for operational decision support through coloured Petri nets , 2017, Enterp. Inf. Syst..

[15]  Tiago Oliveira,et al.  Evaluating the impact of virtualization characteristics on SaaS adoption , 2018, Enterp. Inf. Syst..

[16]  Steven L. Alter A General, Yet Useful Theory of Information Systems , 1999, Commun. Assoc. Inf. Syst..

[17]  Wouter Joosen,et al.  Policy reconciliation for access control in dynamic cross-enterprise collaborations , 2018, Enterp. Inf. Syst..

[18]  M. Over Economics for health sector analysis : concepts and cases , 1991 .

[19]  W. H. Ip,et al.  Improving merger and acquisition decision-making using fuzzy logic and simulation , 2017 .

[20]  Changhoon Lee,et al.  Information-based management mode based on value network analysis for livestock enterprises , 2018, Enterp. Inf. Syst..

[21]  Kazuo Furuta,et al.  On domain modelling of the service system with its application to enterprise information systems , 2016, Enterp. Inf. Syst..

[22]  Julia Adler-Milstein,et al.  Health Information Exchange Organizations and Their Support for Research: Current State and Future Outlook , 2017, Inquiry : A Journal of Medical Care Organization, Provision and Financing.