Web-Based Safety-Oriented Healthcare System Using Innovation Process for Patient Safety

Article Preview

Abstract:

The U.S. Institute of Medicine (IOM) estimated that 44,000-98,000 Americans die annually from preventable errors in hospitals and that the cost of deaths and injuries is between $17 and $29 billion U.S. dollars per year in the U.S. Knowledge that healthcare systems and processes may be unreliable and lacks a consideration for safety. Patient safety is a global challenge that requires knowledge and skills in multiple areas, including human factors and systems engineering [12]. Patient safety has received attention by international health organizations. In 2004, the World Health Organization lunched the World Alliance for Patient Safety. The World Alliance for Patient Safety has targeted the following patient safety issues: prevention of healthcare-associated infections, hand hygiene, surgical safety, and patient engagement2. This paper This paper presents a safety process methodology and system to reduce the safety gap of patient safety process. The aim of this study is to propose a Safety Process Innovation Methodology (SPIM) and implements a web-based new safety-oriented system that combines the Quality Function Deployment (QFD) and Failure Mode and Effects Analysis (FMEA) to determine essential safety when conducting process innovation for support patient safety.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

624-632

Citation:

Online since:

April 2013

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Bates, D. W., & Gawande, A. A. (2003). Improving safety with information technology. The New England Journal of Medicine, 348 (25), 2526-2534.

DOI: 10.1056/nejmsa020847

Google Scholar

[2] Battles, J. B., & Keyes, M. A. (2002). Technology and patient safety: A two-edged sword. Biomedical Instrumentation & Technology, 36 (2), 84-88.

Google Scholar

[3] Day, S.S., Dalto, J.J., Fox, J.J., Allen, A.A. and Ilstrup, S.S. (2007), Utilization of failure mode effects analysis in trauma patient registration, Quality Management in Health Care (Qual Manag Health Care), Vol. 16 No. 4, pp.342-8.

DOI: 10.1097/01.qmh.0000296296.29310.be

Google Scholar

[4] Day, S., Dalto, J., Fox, J. and Turpin M. (2006), Failure modes and effects analysis as a performance improvement tool in trauma, J. trauma Nurs, Vol. 13 No. 3, pp.111-7.

DOI: 10.1097/00043860-200607000-00008

Google Scholar

[5] Institute of Medicine Committee on Quality of Health Care in America, Crossing the Quality Chasm: A New Health System for 21st Century. Washington, DC: National Academy Press, (2001).

DOI: 10.1056/nejm200108303450917

Google Scholar

[6] JCAHO, Delays in Treatment, Sentinel Event Alert (26) (2002).

Google Scholar

[7] Kovner, C. T., Hendrickson, G., Knickman, J. R., & Finkler, S. A. (1993). Changing the delivery of nursing care - Implementation issues and qualitative findings. Journal of Nursing Administration, 23 (11), 24-34.

DOI: 10.1097/00005110-199311000-00008

Google Scholar

[8] Qingshan Li, Study of a Content Oriented Web Architectural Model, " iccnmc, p.3, 2001 International Conference on Computer Networks and Mobile Computing (ICCNMC, 01), (2001).

DOI: 10.1109/iccnmc.2001.962565

Google Scholar

[9] L. T. Kohn, J. M. Corrigan and M. S. Donaldson, eds, To Err is Human: Building a safer Health System, Washington, D.C.: National Academy Press, (1999).

Google Scholar

[10] Paparella, S.S. (2007), FMEA: a useful tool for risk identification and injury prevention, Journal of Emergency Nursing: JEN (J Emerg Nurs), Vol. 33 No. 4, pp.367-71.

DOI: 10.1016/j.jen.2007.03.009

Google Scholar

[11] Luo, C.M., (2006).

Google Scholar

[12] Pascale Carayon and Kenneth E. Wood, Patient safety - The role of human factors and system engineering, Information Knowledge Systems 8 (2009) 23-46. DOI 10. 3233/IKS-2009-0134, ISO Press.

Google Scholar

[13] Teng, S. H. 1996, Failure Mode and Effects Analysis- An Integrated Approach for Product Design and Process Control, International Journal of Quality & Reliability Management. 13(5), 8-26.

DOI: 10.1108/02656719610118151

Google Scholar

[14] J. Rasmussen, The role of error in organizing behaviour, Ergonomics 33(10/11) (1990), 1185-1199.

DOI: 10.1080/00140139008925325

Google Scholar

[15] J. Reason, Managing the Risks of Organizational Accidents, Burlington, Vermont: Ashgate, (1997).

Google Scholar

[16] Trapskin, P. J., White, L. and Armitstead, J. A. (2006), Improving the accuracy of patient identification in the medication-use process, Am J Health-Syst Pharm, Vol. 63 No. 3, pp.218-22.

DOI: 10.2146/ajhp050223

Google Scholar

[17] Web Accessibility Initiative, WAI Mission and Organization, 2008 , http: /www. w3. org/WAI/about. html (accessed July 22, 2008).

Google Scholar