Predictive Modeling Bulletin
  Complimentary from the publishers of Predictive Modeling News             November 2017  
    
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Quote
  "Capture and use of physician EHR data for analytics have been driven by many factors. Some of the drivers include (a) type of practice -- individual v group, (b) type of EHR and (c) participation in incentive programs. Revenue pressures have promoted capture and use of physician EHR data for analytics significantly for group practices with established EHRs. Individual/solo practitioners have made significant progress with the adoption of EHRs, but data capture and its use for analytics have been less than optimal."
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Soyal Momin MS MBA, Vice President, Center of Excellence for Data and Analytics, Presbyterian Health Services.
 
Factoid
  "Indeed, 35% of respondents said they were 'optimistic' about the potential of analytics, and 41% rated themselves as 'advocates' who want to 'help lead the change and a make a
difference.'"

Excerpted from: Predictive Modeling News, Volume 10 Number 11, November 2017, "Health Catalyst Survey: Leaders ‘Optimistic’ About Analytics."
 
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Healthcare data is doubling every 18 months, but that doesn’t mean that we are generating new insights at an equivalent rate. Listen to our President, Amit Bhagat, and our Vice President of Delivery, Paul Boal, as they examine challenges and solutions that are at the forefront of next-gen population health and predictive wellness applications. Our speakers discuss the tools, data architecture, and processes used to ingest vast amounts of fast-moving data, apply real-time predictive analytics, and suggest individualized actions or interventions.

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  Kristine Daynes: Five caveats for choosing predictive analytics

1. Predictive models are meant to be a supplement to human expertise, not replace it.
2. Choose models developed by teams with deep understanding of medical practice and the business of healthcare—domain knowledge.
3. Continue reading here

Source: Inside Angle blog/3M
 
     
 
 
 
This Month in Predictive Modeling News
 
  • Journal Scan: Hopkins Team Sees Risk Stratification Value in Rx Fill Data
  • Reports See Gains for 'Big Data,' IoT, Decision Support Systems
  • Health Catalyst Survey: Leaders 'Optimistic' About Analytics
  • Technology Innovations from: Health Solutions, Health Advocate, Somnoware, and DHS Group
  • Thought Leaders' Corner: "Overall, where on the spectrum are most healthcare organizations re: capturing physician EHR data for analytics purposes?"
  • Industry News with briefs regarding: Milliman, LexisNexis, LymeDisease.org, UMBRA Health, Glassbeam, IsoPlexis, Applied BioMath, Aventyn, Intel, and EVO
  • Predictably Quotable
  • Click here to subscribe to Predictive Modeling News, or find out more

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