“Harnessing the full potential of data requires developing an organization-wide data science strategy. Such strategies are now commonplace in most industries such as banking and retail. Banks can offer their customers targeted needs-based services and improved fraud protection because they collect and analyze transactional data. Retailers such as Amazon routinely collect data on shopping habits and preferences to profile their customers and use sophisticated predictive algorithms to tailor marketing strategies to customer demand.
Health care is a glaring exception. Individual pieces of data can have life-or-death importance, but many organizations fail to aggregate data effectively to gain insights into wider care processes. Without a data science strategy, health care organizations can’t draw on increasing volumes of data and medical knowledge in an organized, strategic way, and individual clinicians can’t use that knowledge to improve the safety, quality, and efficiency of the care they provide.”
The foregoing quote from a March 22, 2017, issue of the New England Journal of Medicine Catalyst entitled “Why Every Health Care Organization Needs a Data Science Strategy” (http://catalyst.nejm.org/healthcare-needs-data-science-strategy/#comment-17771) by Kathrin M. Cresswell, PhD, David W. Bates, MD, MSc and Aziz Sheikh, BSc, MBBS, MSc, MD of the Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Harvard Medical School underscores the need for healthcare providers and other to implement a careful and considered approach to “collect and analyze transactional data” as a principal means “to gain insights into wider care processes.” An information technology (IT) solution that conforms to the Cloud Healthcare Appliance Real-Time Solution as a Service (CHARTSaaS) reference architecture can facilitate the recommended and critical data science strategy including these five “key components of data science strategy in healthcare organizations” (re the header graphic): “1 organization-wide data repository, 2 data integration across sources, 3 governance frameworks to ensure data security, 4 use and resuse of data to improve care, 5 organizational capacity development.” Even point 5 is supported by a CHARTSaaS-compliant IT solution, to the extent that it facilitates development of cognitive support apps (thereby enhancing the functions of staff already in place) by healthcare provider subject matter experts with little if any need for additional IT staff or system resources.
Please validate this proposition to your own satisfaction by reading the white paper here at http://bit.ly/2nhwqpd and then by reviewing the details of CHARTSaaS and the CHARTSaaS RA in these presentations: