At HIMSS, CMS and ONC announced proposed rules on data sharing, data blocking, and APIs. These extensive guidelines intend to encourage use of application programming interfaces via FHIR which will speed up how patients can access information via mobile devices. The hope is that patient-oriented apps will be developed, empowering individuals to control their healthcare data, ultimately making their choice of providers more portable.
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During HIMSS, we heard several discussions around bringing together information from many sources, then leveraging that data’s potential. When you unleash that data, (for example, claims data) it helps create a deeper understanding of the patient’s record. CMS pointed out other data management issues such as pushing information back to source systems and the need to better master patient records though they didn't explicitly term them “data management issues”.
This week at HIMSS 2019 in Orlando, the ONC and CMS proposed new rules looking to force the industry, in particular EHR vendors, to open their data through APIs. This will unleash a wave of innovation with patients having rights to their own data and promises to bring a burst of energy around new applications to leverage that data. This overdue move occurs after EHR vendors have collected $34 billion in taxpayer subsidies while continuing to put moat around patients’ data.
I feel like it comes sooner every year. After the holiday season is over, the HIMSS conference is upon us (even earlier this year, kicking off on February 10th). HIMSS19 has an awesome theme this year – Champions of Health Unite, where a will showcase various roles that impact healthcare IT.
A recenton rebooting the chief analytics officer role mentions that only eight percent of companies are reporting they are leveraging data at scale across the enterprise.
Interoperability in healthcare was the focus this week both from HIMSS and on Capitol Hill. In both cases, missing was the clarion call for healthcare organizations to take charge of their data with an enterprise approach to data management.
Last week, I went to see a presentation on the importance of an enterprise data foundation to drive analytical change in healthcare. It made me think about two articles I read recently:
Rather than think about how we tackle data issues for population health, value based care, AI, and predictive analytics, healthcare organizations need to think about what their data strategy is and what platform should be used across the entire enterprise.
Recently, I read some articles showcasing technology hype versus what organizations really need. While all sectors suffer from an overload of hype, healthcare’s complexity means it gets hit particularly hard.