Numero Uno Business Solutions for Healthcare Domain
Keywords:
Revenue, Data sources, Complexity, Predictive modeling, Visualization, Standards, Insights, Underutilized services.Abstract
In order to reduce costs, increase revenue and improve patient safety and outcomes while the data sources been generated in billions and overall difficulty in handling the complexity of data generated within healthcare organisation. The need for advanced analytics to support decision-making capabilities is much required. People require predictive modelling and data visualisation tools from modern business intelligence software applications to gain insights regarding patient care and satisfaction. ’Numero Uno Business Solutions for Healthcare Domain’ is about analysing the data to produce quality insights and help understand the health of your business.
References
- Ontario’s Action Plan for Healthcare (http://health.gov.on.ca/en/ms/ecfa/healthy_ change/docs/rep_healthychange.pdf). 2013.
- Institute of Medicine. Best Care at Lower Cost: The Path to Continuously Learning Health Care in America : (www.nap.edu/openbook.php?record_id=13444). 2012.
- Colin Jervis. Stop saving NHS, start reinventing it. Kinetic Consulting. 2013
- Samavi R., Yu E., Topaloglou T. Strategic Reasoning about Business Models: A Conceptual Modeling Approach. Journal of Information Systems and e-Business Management. Vol 6, 2008.
- Kaplan, R.S., Norton, D.P.: Strategy Maps: Converting Intangible Assets into Tangible Outcomes. Harvard Business School Press (2004)
- Barone D., Topaloglou T., Mylopoulos J. Business Intelligence Modeling in Action: A Hospital Case Study. In Proceedings of the 24th international conference on Advanced Information Systems Engineering (CAiSE'12), Springer-Verlag. pg. 502-517. 2012 ( http://dx.doi.org/10.1007/978-3-642-31095-9_33).
- A. B. Author, “Title of chapter in the book,” in Title of His Published Book, xth ed. City of Publisher, Country if not
- First Author and Second Author. 2002. International Journal of Scientific Research in Science, Engineering and Technology. (Nov 2002)
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