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Optimising Quality clinical Coding Data In the Irish Healthcare Industry

11/25/2011 . Statement of Problem. To understand the extent to which Irish hospitals use clinical coding data as a basis for health care improvement.To identify how clinical coding data is used as a product within the Irish healthcare industry.To identify and evaluate the barriers to recording q

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Optimising Quality clinical Coding Data In the Irish Healthcare Industry

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    1. 11/25/2011 Optimising Quality clinical Coding Data In the Irish Healthcare Industry Name: Toyosi Atoyebi Class: Msc Health Informatics Course: Research Proposal

    2. 11/25/2011 Statement of Problem To understand the extent to which Irish hospitals use clinical coding data as a basis for health care improvement. To identify how clinical coding data is used as a product within the Irish healthcare industry. To identify and evaluate the barriers to recording quality structured data i.e coded data.

    3. 11/25/2011 Statement of Problem To identify what quality coded data attributes are within the Irish healthcare industry. To identify who has the responsibility for quality coded data in the Irish Healthcare industry? ( the clinicians, the coders or Information Technology Department)

    4. 11/25/2011 Scope of Study Irish hospital – Coding Economic and Social Research Institute – manages clinical coding data on-behalf of the Health Service Executive (HSE) in Ireland.

    5. 11/25/2011 Significance of Study and Objectives To seek importance of quality coded data within the Irish healthcare industry. -cost of services -integration of healthcare information system Aim at highlighting what Coding is – assumption that not all healthcare practitioners know what coding his or its use. To promote emphasis on quality of healthcare data – emphasis is always on quality healthcare services.

    6. 11/25/2011 Methodology Research methodology shows the work plan of how researchers go about describing, explaining and predicting phenomena about their work (Rajasekar S et.al,2006).

    7. 11/25/2011 Methodology

    8. 11/25/2011 Limitation of Study Time constraint Coverage area – research limited to Dublin area Collection of questionnaire – study group working hours

    9. 11/25/2011 Timetable for Completion Presentation of Research Proposal – 25th November 2011 Completion of Literature Review – 3rd February 2012 Presentation of Literature review – 17th February 2012 Complete Distribution of Questionnaire & Interview – 30th March 2011 Complete Analysis – 30th April 2012 Submission of First draft – 6th June 2012 Complete Research – 27th July 2012 Final Submission – 4th September 2012

    10. 11/25/2011 Conclusion My conclusions will be drawn from the plethora of data gathered and carefully analyzed in the course of this research effort.

    11. 11/25/2011 References Amalfi, F et.al. (2009). Building the Business case for Master Data Management. Available: http://www.oracle.com/us/corporate/insight/business-case-mdm-wp-171711.pdf. Last accessed 25th Nov 2011. Cheng P, Gilchrist A, Robinson K and Paul L. (2009). The risk and consequences of clinical miscoding due to inadequate medical documentation: a case study of the impact on health services funding. Health Information Management. 38 (1), p35-45. De Lusignan, S. (2005). The barriers to clinical coding in general practice: a literature review. Medical Informatics and the Internet in Medicine. 30 (2), p89-97. Dlugacz, Y (2006). Measuring Health Care: Using Quality Data for Operational, Financial, and Clinical Improvement. San Francisco: John Wiley & Sons Inc. p42. Howard, P (2004). Data Quality Products: an evaluation and comparison. Milton Keynes: Bloor Research. p3. Katz, M and Green, E (1997). Managing Quality: A Guide to System-Wide Performance Management in Health Care. 2nd ed. United States of America: Mosby-Year Book, Inc. p163. Rajasekar S, Philominathan P and Chinnathambi V. (2006). Research Methodology. Available: http://arxiv.org/abs/physics/0601009. Last accessed 14th Nov 2011. Robinson K and Shepheard J. (2004). Predicting the influence of the electronic health record on clinical coding practice in hospitals. Health Information Management. 32 (3 & 4), p102-107. Rumrill P, Fitzgerald S and Merchant W. (2010). Using scoping literature reviews as a means of understanding and interpreting existing literature. Work. 35 (3), p399-404. Scott T, Rundall T, Vogt T and Hsu J (2007). Implementing an Electronic Medical Record System. successes, failures, lessons. Oxford: Radcliffe Publishing Ltd. p2. Walker S and Nicholson L (2009). The Relationship between Health Record Documentation and Clinical Coding. http://www.ifhima.org/The_relationship_between_HR_documentation_and_codingFINAL(IFHRO).doc Accessed 14th Nov 2011.

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