Tag Archives: HITECH
The widespread adoption of electronic health records (EHRs) is a key objective of the Health Information Technology for Economic and Clinical Health (HITECH) Act, enacted as part of the American Recovery and Reinvestment Act of 2009. With the pervasive use of EHRs, an enormous volume of clinical data will be readily accessible that has previously been locked away in paper charts. The potential value of this data to yield insights into what works in healthcare, and what doesn’t work, dwarfs the benefits of simply replacing a paper chart with an electronic system. There’s appropriate enthusiasm that this data is going to be a veritable goldmine for enterprise data warehousing, business intelligence, and comparative effectiveness research. However, there are other, equally valuable, uses for this data to enhance clinical decision-making and improve the value of healthcare spending. Simply having instant access to large volumes of data that span thousands or tens-of-thousands of physicians, hundreds-of-thousands of patients and millions of encounters, offers an unparalleled opportunity to increase the quality and lower the cost of healthcare. (more…)
Reposted with permission
Shahid Shah’s healthcare IT, EMR, EHR, PHR, medical content, and document management advisory service. Enjoy.
Join me for a free webinar on “Understanding the Escalating Data Challenges of Meaningful Use” on Thursday, April 7th
I’ve been doing a good deal of coaching and consulting on what Meaningful Use really means to technology professionals lately so I was pleased to accept an invitation by Informatica to lead a webinar on that subject for a data management audience.
Data management professionals and the executives that they report to have now had enough time to learn how difficult meeting the escalating requirements for MU actually is; most are reporting that it’s been more work than they thought. Gone are the days when health systems thought they could just install a certified EHR and they would be able to meet the MU goals. Everyone now understands that even if they’re able to collect the measures required in the first phase of MU, the escalating data challenges of later phases will be more difficult. (more…)