Article | SHI 2015, Proceedings from The 13th Scandinavien Conference on Health Informatics, June 15-17, 2015, Tromsø, Norway | Near-Real Time Monitoring of Reports regarding Patient Safety Incidents in Hospitals using a Web-based Interface
Göm menyn

Title:
Near-Real Time Monitoring of Reports regarding Patient Safety Incidents in Hospitals using a Web-based Interface
Author:
Mia Horsbøl Hansen: Department of Health Science and Technology, Aalborg University, Denmark Marlena Anna Plocharska: Department of Health Science and Technology, Aalborg University, Denmark Ying Wang: Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Australia Ole Hejlesen: Department of Health Science and Technology, Aalborg University, Denmark Farah Magrabi: Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Australia
Download:
Full text (pdf)
Year:
2015
Conference:
SHI 2015, Proceedings from The 13th Scandinavien Conference on Health Informatics, June 15-17, 2015, Tromsø, Norway
Issue:
115
Article no.:
002
Pages:
6-11
No. of pages:
6
Publication type:
Abstract and Fulltext
Published:
2015-06-26
ISBN:
978-91-7685-985-8
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


Export in BibTex, RIS or text

Near-real time monitoring of patient safety incident (PSI) reports can be facilitated with automatic detection methods, which can improve timeliness of detection. Reduced PSI identification time would provide quicker feedback on PSI data to healthcare professionals and allow them to effectively adjust safety procedures at hospitals. A visualization of the PSI data can provide the user with feedback together with a PSI data exploration possibilities and analysis of the PSI patterns. Therefore, during the project, a web-based interface (wUI) was developed using web-development tools and provided PSI data as a proof of concept. Usability theory was considered during design to facilitate a user-friendly and intuitive feedback tool. The implemented wUI was validated and the results showed, that the systems requirements were fulfilled well, with possible optimization features.

Keywords: patient safety; incident reporting; web interface; incident statistical output.

SHI 2015, Proceedings from The 13th Scandinavien Conference on Health Informatics, June 15-17, 2015, Tromsø, Norway

Author:
Mia Horsbøl Hansen, Marlena Anna Plocharska, Ying Wang, Ole Hejlesen, Farah Magrabi
Title:
Near-Real Time Monitoring of Reports regarding Patient Safety Incidents in Hospitals using a Web-based Interface
References:

[1] Brasaite I, Kaunonen M, and Suominen T. Healthcare professionals’ knowledge, attitudes and skills regarding patient safety: a systematic literature review. Scandinavian journal of caring sciences, pages 1–21, 2014.


[2] World Health Organization. Data and statistics, 2014.


[3] Barach P. and Small SD. Reporting and preventing medical mishaps: lessons from non-medical near miss reporting systems. BMJ, 320(7237):759–763, 2000.


[4] Ortiz E, Meyer G, and Burstin H. Clinical informatics and patient safety at the agency for healthcare research and quality. Journal of the American Medical Informatics Association, 9(Suppl 6):S2–S7, 2002.


[5] Ash JS, Berg M, and Coiera E. Some unintended consequences of information technology in health care: the nature of patient care information system-related errors. Journal of the American Medical Informatics Association, 11 (2):104–112, 2004


[6] World Health Organization. WHO draft guidelines for adverse event reporting and learning systems. 2005.


[7] Magrabi F, Ong MS, Runciman W, and Coiera E. An analysis of computer-related patient safety incidents to inform the development of a classification. Journal of the American Medical Informatics Association, 17(6): 663–670, 2010.


[8] Cheung KC, van denBemt PM, Bouvy ML, Wensing M, and De Smet PAGM. A nationwide medication incidents reporting system in the Netherlands. Journal of the American Medical Informatics Association, 18(6): 799–804, 2011.


[9] Ratwani RM. and Fong A. ‘Connecting the dots’: leveraging visual analytics to make sense of patient safety event reports. Journal of the American Medical Informatics Association, pages 1–5, 2014.


[10] Chai KE, Anthony S, Coiera E, and Magrabi F. Using statistical text classification to identify health information technology incidents. Journal of the American Medical Informatics Association, 20:980–985, 2013.


[11] Runciman B. and Walton M. Safety and ethics in healthcare: a guide to getting it right, Ashgate Publishing, Ltd. , 2007.


[12] Thomas AN, Panchagnula U, and Taylor RJ. Review of patient safety incidents submitted from critical care units in England & Wales to the UK national patient safety agency. Anaesthesia, 64(11):1178–1185, 2009.


[13] Runciman W, Hibbert P, Thomson R, Van Der Schaaf T, Sherman H, and Lewalle P. Towards an international classification for patient safety: key concepts and terms. International Journal for Quality in Health Care, 21(1):18–26, 2009.


[14] Burrell T. Clinical incident management in the NSW public health system 2010. Clinical Excellence Commission, 2010.


[15] Clinical Excellence Commission. Incident management policy, 2014.


[16] Gong Y. Data consistency in a voluntary medical incident reporting system. Journal of medical systems, 35(4):609–615, 2011.


[17] Johnson CW. How will we get the data and what will we do with it then? Issues in the reporting of adverse healthcare events. Quality and Safety in Health Care, 12(suppl 2):ii64–ii67, 2003.


[18] Mahajan RP. Critical incident reporting and learning. British journal of anaesthesia, 105 (1):69–75, 2010.


[19] Benn J, Koutantji M, Wallace L, Spurgeon P, Rejman M, Healey A, and Vincent C. Feedback from incident reporting: information and action to improve patient safety. Quality and Safety in Health Care, 18(1):11–21, 2009.


[20] Bradley EH, Holmboe ES, Mattera JA, Roumanis SA, Radford MJ, and Krumholz HM. Data feedback efforts in quality improvement: lessons learned from us hospitals. Quality and Safety in Health Care, 13(1):26–31, 2004.


[21] Anderson JE, Kodate N, Walters R, and Dodds A. Can incident reporting improve safety? Healthcare practitioners’ views of the effectiveness of incident reporting. International journal for quality in health care, pages 1–10, 2013.


[22] Ong MS, Magrabi F, Coiera E. Automated categorisation of clinical incident reports using statistical text classification. Quality and Safety in Health Care, 19(6):e55–e55, 2010.


[23] Ong MS, Magrabi F, Coiera E. Automated identification of extreme-risk events in clinical incident reports. Journal of the American Medical Informatics Association, 12:e110–e118, 2012.


[24] Beuscart-Zéphir MC, Borycki E, Carayon P, Jaspers MW, and Pelayo S. Evolution of human factors research and studies of health information technologies: the role of patient safety. IMIA Yearbook of Medical Informatics, pages 67–77, 2013.


[25] Middleton B, Bloomrosen M, Dente MA, Hashmat B, Koppel R, Overhage JM, Payne TH, Rosenbloom ST, Weaver C, and Zhang J. Enhancing patient safety and quality of care by improving the usability of electronic health record systems: recommendations from AMIA. Journal of the American Medical Informatics Association, 20(e1):e2–e8, 2013.


[26] Nielsen J. Usability engineering. Elsevier, 1994.


[27] Edwards PJ, Moloney KP, Jacko JA, and Sainfort F. Evaluating usability of a commercial electronic health record: A case study. International Journal of Human-Computer Studies, 66(10):718–728, 2008.

SHI 2015, Proceedings from The 13th Scandinavien Conference on Health Informatics, June 15-17, 2015, Tromsø, Norway

Author:
Mia Horsbøl Hansen, Marlena Anna Plocharska, Ying Wang, Ole Hejlesen, Farah Magrabi
Title:
Near-Real Time Monitoring of Reports regarding Patient Safety Incidents in Hospitals using a Web-based Interface
Note: the following are taken directly from CrossRef
Citations:
No citations available at the moment


Responsible for this page: Peter Berkesand
Last updated: 2017-02-21