Data Analytics In Healthcare |
By Kevin Donnelly
Data Analytics In Healthcare |
Digitization in healthcare brought on by the adoption of electronic medical records, disease registries, and clinical repositories has dramatically increased the volume of data with no end in sight. At the same time healthcare reimbursement models are changing; Meaningful Use and PQRS are evolving into MACRA and MIPS, Population Health Management and value-based purchasing models such as acos continue to gain stride as critical new factors in today’s healthcare environment.
All of these new models have fostered significant industry consolidation putting greater pressure on the bottom line, which means it's critical for healthcare organizations to acquire the available tools, infrastructure, and techniques to leverage structured and big data effectively or else risk losing potentially millions of dollars in revenue and profits. A ThirdView Medical works works with healthcare organizations ranging from single-physician offices and multi-provider groups to large hospital networks and accountable care organizations to realize significant benefits. The value created is significant whether it be effectively risk scoring individual patients and populations, developing protocols to more effectively treat diseases and reduce lengths of stay; dramatically improving revenue cycle management and detecting health care fraud more quickly and efficiently. The ability to effectively leverage data can be a huge determinant to organizational valuations in merger and acquisition activity, as well as value realization post deal completion. We work alongside our clients to ensure the maximum return from their data and analytic efforts. |
New models require integration of clinical, network and payment strategies.
Provide robust data and analytic capabilities to enable new models.
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