Care Analytics Bulletin
  Complimentary from the publishers of Care Analytics News       October 2019  
       
  Sponsor Message  
Quote
  "The pace of innovation is unprecedented, so medtech companies should think about what role they want to play in the future ecosystem – as a data and platform provider, a well-being and care delivery organization, a care enabler or one with elements of all three. Knowing where a partner may help fill any short- or long-term gaps can only position them for greater success."
- Glenn Snyder, Principal and Medtech Leader, Deloitte.
 
Factoid
  The clinical risk grouping solutions market is estimated at $427 million in 2019, says a recent report from MarketsandMarkets. It's projected to reach $829 million by 2024, growing at 14.2% a year.

Excerpted from: Care Analytics News, Analytics Technology Edition, Volume 12 Number 10, October 2019, Markets: "Report Risk Group Market to Nearly Double in 5 Years."
 
 
What's News
  A Deep Learning Model for Pediatric Patient Risk Stratification
The American Journal of Managed Care, October 2, 2019
 
     
  Rothman Index System Goes Live  for PA to Identify Patient Decline
Business Wire, September 30, 2019
 
     
Predictive Analytics Tool Increases Palliative Care Consultations
Health IT Analytics, September 26, 2019
  Stanford develops algorithm to identify safety of implantable medical devices
Becker's Hospital Review, September 26, 2019
 
     
  How blockchain could be applied to medical records
Becker's Hospital Review, September 25, 2019
 
     
  Medication-related harm following hospital discharge: a prediction tool
Health Initiative, September 21, 2019
 
     
  Machine Learning Tool Estimates Risk of Cardiovascular Death
Health IT Analytics, September 17, 2019
 
     
Insights
  Uses For AI In Health Care Marketing
Forbes, October 1, 2019
 
     
  Disrupt or Be Disrupted: Predictive Analytics and Healthcare
Managed Healthcare Executive, September 19, 2019
 
     
  How Predictive Analytics Can Play an Influential Role in Operating Rooms
HealthTech, September 12, 2019
 
     
  10 High-Value Use Cases for Predictive Analytics in Healthcare
Health IT Analytics, September 4, 2019
 
     
Care Analytics Video from Healthshare TV
Healthshare TV video Risky Business: One Health Care System's Model of Risk Stratification

Learn how Sanford Health uses risk stratification as a population health approach to help patients and care teams identify healthcare needs and coordinate care management strategies throughout the system.

Healthsprocket List
Jennifer Bresnick: 10 High-Value Use Cases for Predictive Analytics in Healthcare

1. risk scoring for chronic diseases, population health
2. avoiding 30-day hospital readmissions
3. getting ahead of patient deterioration
4. forestalling appointment no-shows
5. preventing suicide and patient self-harm
6. predicting patient utilization patterns
7. managing the supply chain
8. ensuring strong data security
9. developing precision medicine and new therapies
10. bolstering patient engagement and satisfaction

Source: Health IT Analytics, September 4, 2019

healthsprocket: the home for health care lists check out more lists on healthsprocket . "What's on your list?"

This Month in Care Analytics News
  • Risk Scoring, Spotting Outliers Among State Tactics for Managing High-Cost Patients
  • Deloitte Sees Future Medtech Firms Forging 'Novel Partnerships to Advance Data-Driven Health'
  • eHI Releases 'Guiding Principles for Ethical Use of Social Determinants of Health Data'
  • Markets: Report Risk Group Market to Nearly Double in 5 Years
  • Industry News with briefs regarding BCS Financial; BHI; Signify Health; Remedy Partners

In the previous Care Interventions edition of Care Analytics News:

  • Targeting Transitions of Care to Reduce Readmissions: More is Not Always Better by Robyn A. Tamboli, PhD and Sunil Kripalani, MD, MSc, SFHM
  • Reducing Asthma Readmissions Through Allergy Evaluation by Barbara P. Yawn, MD, MSc FAAFP
  • Data-informed readmission strategy enables Atrium Health to drive innovation that actually improves patient outcomes. by Andrew McWilliams, MD, MPH and Stephanie Murphy, DO
  • Thought Leaders' Corner: "How can medication adherence be improved?"
  • Catching Up With Henry Osowski
  • Click here to subscribe to Care Analytics News, or find out more

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