Analytics Driven Application Development for Healthcare Organizations
Omar Badreddin, Aladdin Baarah, Austin Chamney, Craig Kuziemsky, Liam Peyton
2014
Abstract
In response to governmental and regulatory mandates, Healthcare organizations are increasingly interested in assessing the efficiency of their care processes and services. Traditional information systems for healthcare have focused on capturing administrative details related to services and resource usage on a departmental or healthcare provider basis. The resulting interoperability challenges make it difficult for analytics and performance management reporting to provide a detailed view of care processes. This paper presents a methodology and an analytics application framework that focuses on performance and efficiency. Starting from performance goals, the application framework development is driven by the identified key performance indicators. This methodology addresses interoperability challenges by defining the minimal dataset required for measuring outcomes of a care process. It enables an information system design that focuses on analytics and minimizes maintenance and integration issues. The application framework is developed in the context of a multi-year case study of a clinical information system for palliative care.
References
- Mouttham, A., Kuziemsky, C. D. Langayan, L. Peyton, and J. Pereira, Interoperable Support for Collaborative, Mobile, and Accessible Health Care, Information Systems Frontiers, 14 (1), 73-85, 2012.
- Bates DW. Getting in Step: Electronic Health Records and their Role in Care Coordination, J Gen Intern Med 25(3):174-6, 2010.
- Kaplan, B. and Harris-Salamone, K. D, “Health IT success and failure”. Journal of the American Medical Informatics Association, 2009, 16(3), 291-299
- Ash, J.S, Berg, M and Coiera, E “Some Unintended Consequences of Information Technology in Health Care: The Nature of Patient Care Information Systemrelated Error” J Am Med Inform Assoc, 11, 2004, 104- 112
- Ferris, H. Balfour, K. , Bowen, J. Farley, M. Hardwick, , C. Lamontagne, M. Lundy, A., Syme and P. West,” A model to guide hospice palliative care: Based on national principles and norms of practice”, Canadian Hospice Palliative Care Association Ottawa, 2002
- Kuziemsky, J. H., Weber-Jahnke, F., Lau, and G. M. Downing. “An interdisciplinary computer based information tool for palliative severe pain management. Journal of the American Medical Informatics Association”, 2008, 15(3), 374-382.
- Inmon, W. H., Building the data warehouse. 4th edition,. Indianapolis: Wiley Publishers, 2005.
- Baarah, A. and Peyton, L., ” Engineering a State Monitoring Service for Real-Time Patient Flow Management”, Middleware 2012, Montreal, Canada, December, 2012.
- Peyton, L., Kuziemsky, C. and Langayan, D. “A Case Study in Interoperable Support for Collaborative Community Healthcare”, Software Engineering in Healthcare 2012, Zurich, Switzerland, June, 2012
- Sandra G. Leggat, Timothy Bartram, Pauline Stanton, "High performance work systems: the gap between policy and practice in health care reform", Journal of Health Organization and Management, Vol. 25 Iss: 3, pp.281 - 297, 2011
- Pourshahid, D. Amyot, L. Peyton, S. Ghanavati, P. Chen, M. Weiss, A. J. Forster, “Business Process Management with the User Requirements Notation”, Electronic Commerce Research, Springer, Vol. 9 No. 4, pp 269-316, 2009.
- Kuziemsky, C., Xia Liu, and Peyton, L. "Leveraging Goal Models and Performance Indicators to Assess Health Care Information Systems." Quality of Information and Communications Technology (QUATIC), 2010 Seventh International Conference on the. IEEE, 2010.
- Badreddin, O., Mussbacher, G., Amyot, D., Behnam, S., Rashidi-Tabrizi, R., Braun, E., Alhaj, M. and Richards, G.: “Regulation-Based Dimensional Modeling for Regulatory Intelligence”. RELAW 2013, Sixth International Workshop on Requirements Engineering and Law.
- Behnam, S. and Badreddin, O. "Toward a Care Process Metamodel”. Proceedings of 5th International Workshop on Software Engineering in Health Care (SEHC 2013).
- Ferrand, D. "Towards A Business Intelligence Framework For Healthcare Safety." Journal of Internet Banking and Commerce 15.3 (2010).
- Ghanavati, S. et al. "Integrating business strategies with requirement models of legal compliance." International Journal of Electronic Business 8.3 (2010): 260-280.
- Barone, D., Mylopoulos, J., Jiang, L., Amyot, D.: Business Intelligence Model, version 1.0. Technical Report CSRG-607 (ftp://ftp.cs.toronto.edu/csritechnicalreports/INDEX.html), University of Toronto (March 2010).
- Barone, Daniele et al. "Towards model-based support for managing organizational transformation." ETechnologies: Transformation in a Connected World. Springer Berlin Heidelberg, 2011. 17-31.
- Greenhalgh T, Potts H. W., Wong G.: Tensions and paradoxes in electronic patient record research: a systematic literature review using the meta-narrative method. Milbank Q 2009; 87:729-788.
Paper Citation
in Harvard Style
Badreddin O., Baarah A., Chamney A., Kuziemsky C. and Peyton L. (2014). Analytics Driven Application Development for Healthcare Organizations . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014) ISBN 978-989-758-010-9, pages 135-142. DOI: 10.5220/0004705001350142
in Bibtex Style
@conference{healthinf14,
author={Omar Badreddin and Aladdin Baarah and Austin Chamney and Craig Kuziemsky and Liam Peyton},
title={Analytics Driven Application Development for Healthcare Organizations},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)},
year={2014},
pages={135-142},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004705001350142},
isbn={978-989-758-010-9},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)
TI - Analytics Driven Application Development for Healthcare Organizations
SN - 978-989-758-010-9
AU - Badreddin O.
AU - Baarah A.
AU - Chamney A.
AU - Kuziemsky C.
AU - Peyton L.
PY - 2014
SP - 135
EP - 142
DO - 10.5220/0004705001350142