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Population Health Series (Part I): Data Control & Healthcare Analytics
Providers face growing demands related to population health:
Balancing cost and quality, complying with new government
regulations and initiatives, managing new payment models, and
taking on risk. In a two-part series on Population Health
Management, Caradigm shares its framework for helping healthcare
organizations coordinate care, deliver meaningful insights, and
enable care teams to achieve integrated, accountable care. We
will look at the products that support Data Control and
Healthcare Analytics. |
Dan LeSueur: 5 Reasons Healthcare Data Is Difficult to Measure
1 . Much of the data is in multiple places.
2. The data is structured and unstructured.
3. Click to
continue
Source: HealthCatalyst, June 12, 2014
Source URL:
http://www.healthcatalyst.com/5-reasons-healthcare-data-is-difficult-to-measure
check out more lists on
healthsprocket. "What's on your list?"
- Lumiata Devises Google-esque ‘Medical Graph’ Analytics
- Report Details Benefits of Episode of Care Analytics
- Report Reveals Trends in Health IT Data Analytics and Reporting
- Thought Leaders’ Corner: “For an organization of any size, what is typically the most effective overall approach: to have acentralized analytics/informatics function or to disperse the staff and accountability into applicable departments?”
- Industry News with briefs
regarding TMEEDSEEK; Spreemo; ReportLinker; Accenture;
and RxAnte
- Catching Up With….Myles Maxfield
