Applicability of Business Intelligence in Electronic Health Record

Abstract Clinical datasets provide an excellent environment in which combined analyses of both structured and unstructured datasets can prove fruitful and useful. With an increasing need to deploy Electronic Health Record (EHR) and Electronic Medical Record (EMR), there is also a corresponding need to apply data mining technologies to extract quality data and inference rules from the information stored in those electronic records so as to provide real-time decision supports and evidence-based practice to clinicians and healthcare providers. Business Intelligence (BI) has emerged as a technology that has the potential to operationalize the repository content of EHR in supporting evidence-based practice and improving the quality of healthcare delivery. In this paper, a literature review was used to explore the key benefits, challenges, and obstacles of incorporating the BI technology into EHR so as to improve the quality and safety of healthcare delivery.

[1]  Rakesh Agrawal,et al.  Enabling the 21st century health care information technology revolution , 2007, CACM.

[2]  Marisa L. Wilson,et al.  Terminology use in electronic health records: basic principles. , 2009, Urologic nursing.

[3]  John Jordan,et al.  Business need, data and business intelligence , 2009 .

[4]  Charles Safran,et al.  Toward a national framework for the secondary use of health data: an American Medical Informatics Association White Paper. , 2007, Journal of the American Medical Informatics Association : JAMIA.

[5]  Kevin Fickenscher The new frontier of data mining. , 2005, Health management technology.

[6]  Tom Wadsworth,et al.  Using business intelligence to improve performance. , 2009, Healthcare financial management : journal of the Healthcare Financial Management Association.

[7]  M. Follen,et al.  Implementing health information technology to improve the process of health care delivery: a case study. , 2007, Disease management : DM.

[8]  J. Hippisley-Cox,et al.  Developing a national primary care-based early warning system for health protection--a surveillance tool for the future? Analysis of routinely collected data. , 2007, Journal of public health.

[9]  Surajit Chaudhuri,et al.  An overview of business intelligence technology , 2011, Commun. ACM.

[10]  Qi Li,et al.  Report Central: Quality Reporting Tool in an Electronic Health Record , 2006, AMIA.

[11]  Jurij Jaklič,et al.  Assessing Benefits of Business Intelligence Systems – A Case Study , 2010 .

[12]  E Coiera,et al.  Section 1: Health and Clinical Mangement: The Safety and Quality of Decision Support Systems , 2006, Yearbook of Medical Informatics.

[13]  William Yeoh,et al.  Critical Success Factors for Business Intelligence Systems , 2010, J. Comput. Inf. Syst..

[14]  Hans-Georg Kemper,et al.  Management Support with Structured and Unstructured Data—An Integrated Business Intelligence Framework , 2008, Inf. Syst. Manag..

[15]  J. Glaser,et al.  Effective use of business intelligence. , 2008, Healthcare financial management : journal of the Healthcare Financial Management Association.

[16]  David Bates,et al.  Secondary uses of clinical data in primary care. , 2007, Informatics in primary care.

[17]  E. Giniat Using business intelligence for competitive advantage. , 2011, Healthcare financial management : journal of the Healthcare Financial Management Association.

[18]  Jayanthi Ranjan,et al.  Real time business intelligence in supply chain analytics , 2008, Inf. Manag. Comput. Secur..