Posts Tagged ‘healthcare analytics’

Amazon came forward and announced it would begin to seek new ways to address and possibly reduce rising health care costs for its own employees. The initiatives are all part of a bigger strategy to improve the shopping experience for businesses and consumers. Amazon’s strategy is in the beginning stages of the process but is […]

In one of my previous blog posts, I discussed using the Cynefin framework for providing guidance in determining the type of healthcare project you will be managing and the best SDLC methodology to use for that project. The Cynefin framework defines four types of projects: Simple Complicated Complex Chaotic Chaotic projects are the rare project, […]

Healthcare organizations have been implementing the IBM UDMH (Unified Data Model for Healthcare) for the last seven years because they realize that connecting critical data helps gain insight into improving care, controlling risk, managing population health and providing accurate reporting both internally and externally. To reap these benefits, there is a critical need to plan […]

What comes to mind when you hear the word “Odyssey?” Did you picture a journey filled with international discovery? Did you associate images of a quest filled with notable experiences? Or, did you think of OHDSI (pronounced “Odyssey”), the “multi-stakeholder, interdisciplinary collaborative that is striving to bring out the value of observational health data through […]

I recently joined my colleague Jim Kouba, director, Healthcare Solutions at Perficient, and HIMSS Analytics Senior Director James Gaston to present our webinar, Moving to the Cloud: Modernizing Data Architecture in Healthcare. In the webinar, we discussed the benefits and risks of moving data and analytics environments to the cloud and the main healthcare use […]

Project managers working on large healthcare data warehousing projects have multiple methodology options at their disposal: agile, iterative, waterfall, hybrid. The challenge often becomes determining which methodology is best suited for the specific type of project. This is where using the Cynefin framework can provide guidance for healthcare data projects. The Cynefin framework is used […]

I recently joined my colleague Tom Lennon, director, Healthcare Analytics at Perficient, and HIMSS Analytics Senior Director James Gaston to present our webinar, Moving to the Cloud: Modernizing Data Architecture in Healthcare. In this webinar, we discussed the benefits and risks of moving data and analytics environments to the cloud and the main healthcare use […]

I recently heard a segment on the radio about personalized medicine. Or “translational medicine.” Or “translational research.” Or “precision medicine.” Whatever you want to call it! Dr. Murray Feingold, a pediatrician and geneticist in the Boston area, painted a clear description of the term. He put it in words that all of us can understand. […]

The definition of wearable technology has changed as much as technology has in the last century. In the first waves of wearable technology we got the calculator watch, you know the one, featured in back to the future. Although we have yet to see a hover board, wearable technology has gone to unbelievable heights. From […]

In HIMSS14, I wrote about the Healthcare Treasure Map.  Not any treasure map, but an end to end all Clinical and Research PATIENT CENTERED Healthcare domain data model – the Enterprise Healthcare Analytics (EHA).  Colleagues refer to it as THE healthcare data model – similar to how NFL players announce their universities, “THE University of […]

Last month I posted “ACA’s Quality Rating System – An opportunity to gain market share”, which explained how QHP issuers can gain market share in the individual space. In that blog I mentioned that, as part of the Quality Rating System, plans offered on the Marketplace will receive a “Star” rating based on a 5 […]

A few years ago, I transplanted my family from the south to Washington DC. I love the Capital, for its history, its influence, but we quickly realized we had left Mayberry and arrived on Jupiter. Horns honked and people moved around briskly. Maybe it was us – our naivete — or maybe it was the […]