Care Analytics Bulletin
Complimentary from the publishers of Care Analytics News                    April 2019
Sponsor Message
Quote
  "Our research indicates that in the context of population-based predictive modeling, the new ML[machine learning] techniques do offer some modest -- and likely useful in some cases -- advantages over more traditional statistical and econometric techniques now in wider use. Although more research would be welcome, we do not believe that ML techniques will offer as much increased accuracy as some super-enthusiasts and start-ups have advertised.”
- Jonathan P. Weiner DrPH, Professor of Health Policy & Management and of Health Informatics, CPHIT Director, ACG Co-Developer and Director of the ACG R&D Team at Baltimore’s Johns Hopkins Bloomberg School of Public Health.

 
Factoid
  According to the Ninth Annual Industry Pulse Survey of 185 healthcare leaders by HealthCare Executive Group and Change Healthcare, the following percentages of respondents thought healthcare data analytics was "extremely" or "very" effective in the aspects listed below:

* improving workflows: 30%
* making providers more productive: 28%
* reducing healthcare costs: 22%

Excerpted from: HIT Infrastructure, March 18, 2019.
 
Readmissions Video

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MD vs. Machine: Artificial intelligence in health care

Recent advances in artificial intelligence and machine learning are changing the way doctors practice medicine. Can medical data actually improve health care? At this seminar, Harvard Medical School scientists and physicians will discuss how AI assists doctors in diagnosing disease, determining the best treatments and predicting better outcomes for their patients.

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Health Catalyst: 5 Ways to Improve HCC Coding Accuracy and Risk Adjustment With Analytics

1. Have an accurate problem list.
2. Ensure patients are seen in each calendar year.
3. Improve decision support and EMR optimization.
4. Widespread education and communication with clinicians and staff.
5. Track performance and identify opportunities.

Note: HCC coding is used in the Hierarchical Condition Category (HCC) risk adjustment model used by CMS to estimate predicted costs for Medicare Advantage beneficiaries.

Source: Health Catalyst, April 9, 2019

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  • Click here to subscribe to Care Analytics News, or find out more

     
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