SJIF(2020): 5.702

International Journal of Advanced Research and Publications

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Improve The Decision Making Through Data Quality Information In Health Industry

Volume 1 - Issue 3, September 2017 Edition
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Dr. Ahmad Hassan, Dr. Hudebia Allah Buksh
Data quality, healthcare industry & management decisions
Discussion in this paper is; to improve decision making through data quality information in Healthcare Industry. In every business industry or at workplace, decision making is considered an essential and critical process which is made on the behalf of quality of information that has been collected from different sources. In Healthcare Industry various important decisions are taken through management and these decisions are related to healthcare of patients, their better treatments and growth of the industry. These all are important decisions to make and here data quality information is very much required. Data quality information consists of characteristics such as accuracy, timeliness, usability, comparability, relevancy and privacy. There are various flaws found in decision making processes on the behalf of available data, so it is necessary to make improvements in process of decision making and it is main purpose of this paper to discuss about improvement of decision making process.
[1]. Guindo L, Wagner M, Baltussen R, Rindress D, van Til J, Kind P et al. From efficacy to equity: Literature review of decision criteria for resource allocation and healthcare decisionmaking. 2016.

[2]. Improving healthcare delivery with data- A literature review - Transforming Healthcare with IT [Internet]. Transforming Healthcare with IT. 2016 [cited 25 November 2016]. Available from: http://transformhealth-it.org/blog/?p=101

[3]. Data Quality Information [Internet]. Fgdc.gov. 2016 [cited 25 November 2016]. Available from: https://www.fgdc.gov/csdgmgraphical/dataq.htm

[4]. Cai LZhu Y. The Challenges of Data Quality and Data Quality Assessment in the Big Data Era.

[5]. Ballou DPazer H. Designing Information Systems to Optimize the Accuracy-Timeliness Tradeoff. Information Systems Research. 1995;6(1):51-72. 2016.

[6]. Chu Y, Yang S, Yang C. Enhancing data quality through attribute‐based metadata and cost evaluation in data warehouse environments. Journal of the Chinese Institute of Engineers. 2001;24(4):497-507.

[7]. Chengalur-Smith I, Ballou D, Pazer H. The impact of data quality information on decision making: an exploratory analysis. IEEE Transactions on Knowledge and Data Engineering. 1999;11(6):853-864.

[8]. Ortiz D. Using a Simple Patient Registry to Improve Your Chronic Disease Care - Family Practice Management [Internet]. Aafp.org. 2016 [cited 26 November 2016]. Available from: http://www.aafp.org/fpm/2006/0400/p47.html

[9]. Definition and Benefits of Electronic Medical Records (EMR) | Providers & Professionals | HealthIT.gov [Internet]. Healthit.gov. 2016 [cited 26 November 2016]. Available from: http://www.healthit.gov/providers-professionals/electronic-medical-records-emr

[10]. Moskowitz H. From psychophysics to the world… data acquired, lessons learned. Food Quality and Preference. 2004;15(7-8):633-644.

[11]. Dowling D. Industry Trends. Journal For Healthcare Quality. 2009;31(2):62-63.

[12]. AAF's global strategy on quality takes giant step forward. Filtration & Separation. 1997;34(6):542.

[13]. O'Leary D. Enterprise knowledge management. Computer. 1998;31(3):54-61.

[14]. Ortiz D. Using a Simple Patient Registry to Improve Your Chronic Disease Care - Family Practice Management [Internet]. Aafp.org. 2016 [cited 01 December 2016]. Available from: http://www.aafp.org/fpm/2006/0400/p47.html

[15]. Kogure M. Some basic problems of quality assurance in service industries ☆. Total Quality Management. 1992;3(1):9-18.

[16]. Huitfeldt BMiddleton M. The Assessment of Software Quality from the User Perspective. Journal of Organizational and End User Computing. 2001;13(1):3-11.

[17]. Farner S. Quality is still free: Making quality certain in uncertain times. Organizational Dynamics. 1996;25(2):89-90.

[18]. Shah N, Irani Z, Sharif A. Big data in an HR context: Exploring organizational change readiness, employee attitudes and behaviors. Journal of Business Research. 2016;70:366-378.

[19]. Aladwani APalvia P. Developing and validating an instrument for measuring user-perceived web quality. Information & Management. 2002;39(6):467-476.

[20]. Aronsky D. Accuracy of Administrative Data for Identifying Patients With Pneumonia. American Journal of Medical Quality. 2005;20(6)