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.