By Lisa English – Yes, the terms “big data” and “analytics” are buzzwords, but they clearly highlight a shift toward data-driven decision-making with a real measurable impact on outcomes in many different industries. Savvy digital marketers now mine your digital breadcrumb trail to offer you more of what you like and attempt to discern what you need before you are aware of it yourself.
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By William Hersh – Raising a number of caveats about the enthusiasm for leveraging the growing volume of patient data in EHRs and other clinical information systems for so-called re-use of secondary use, such as clinical research, quality improvement, and public health.
By Sou Chon Young – Rapidly changing payment methods. Shift from fee-for-service to value-based care. Declining insurance reimbursements. Increased government regulations. Sound familiar? The litany of changes impacting the healthcare industry appears to grow longer every day.
Recent reports and surveys include; WEDI looks at health data exchange, Cross Country Healthcare looks at healthcare delivery priorities. The ONC evaluates their REC program. And the 2016 Cyber Security Intelligence Index was released by IBM X-Force Research.
By William Hersh MD – I recently led a Webinar hosted by the American Medical Informatics Association (AMIA) on the eligibility that I am using as a segue here to provide another update, which may be my last one before the “grandfathering” period ends.
By Denise Basow MD – Clinical effectiveness is defined by the U.S. Department of Health and Human Services as “the application of best knowledge, derived from research, clinical experience and patient preferences to achieve optimum processes and outcomes of care for patients.”
By Christy Green & Cheryl Mason – Today’s hospital and health system executives cannot help but hear the clamor to advance data-driven care delivery models focused on proactive management of populations. Pressed by a sense of urgency to position for the future of risk-based reimbursement arrangements, executives can often overlook a cornerstone element to success with analytics: data normalization.
By William Hersh MD – Many who write and talk about health IT, including myself, are fond of using analogies. One of the most common analogies that we use is that of the banking industry. I have noted that I can insert my Wells Fargo ATM card into just about any ATM in the world and receive out local currency.
By Nick van Terheyden MD – It’s an exciting time to be a chief medical information officer, especially at a hospital or health system with forward-thinking leadership. New technologies are emerging that will help us make huge strides toward truly effective, precise and personalized medicine.