Predictive Modeling Bulletin
  Complimentary from the publishers of Predictive Modeling News                June, 2015  
 
  Predictive Modeling Web Summit 2015
 
  Sponsor Message  
Quote
  “The biggest challenges between predictive modeling staff and end users are around the development and implementation of predictive model. Major ones include: (a) Capturing comprehensive business requirements as well as underlying subject matter expertise; (b) Availability of data with minimal data preparation efforts; (c) Expectation management ; (d) Embedding predictive model in the workflow/operation while avoiding temptation not to use the output of predictive model -- change management; (e) Engagement and buy-in; (f) Supporting monitoring of predictive model performance for continuous improvement.”
- Soyal Momin, MBA, Center of Excellence for Data and Analytics, Presbyterian Health Services
 
Factoid
 
"The life-, health- and cost-saving interactions of health plan nurses with patients and providers serve as the special ingredient in an important innovation that Geisinger undertook with its large primary care practices.... the case managers dropped hospital admissions for entire practice populations by approximately 15%, positively influencing medical expense for Medicare populations."

Excerpted from: Predictive Modeling News, Volume 8 Number 6, June 2015, Case Study: Using LexisNexis Analytics, Geisinger Health Plan Case Managers Staff Clinics, Create Model Program

 
What's News
  Predictive analytics techniques aid hospitals that treat data properly
Predictive Analytics Times, May 28, 2015
 
     
  Healthcare's Advantage in the Move Toward Predictive Modeling
Modern Healthcare, May 26, 2015
 
     
  Healthcare Analytics Grow in Stature, Face Higher Expectations
HealthData Management, May 22, 2015
 
     
Helping doctors predict what’s next for patients diagnosed with Hepatitis C
Institute for Healthcare Policy, University of Michigan News Release, May 20, 2015
     
  Infographic: predicting diabetes with EHRs
Healthcare IT News, May 5, 2015
 
     
  Mining Twitter to predict ED visits
Modern Healthcare, May 2, 2015
 
     
This Month in Predictive Modeling News
 
  • Philips Lifeline Introduces Predictive Analytics Engine to Power Population Health Management
  • LexisNexis Unveils Stress Index
  • Journal Review: Personalized Devices Predict Cancer Drug Response; ‘Predicting Mortality and Healthcare Utilization with a Single Question'; PARAMO: A PARAllel Predictive MOdeling Platform for Healthcare Analytic Research Using Electronic Health Records; ‘Predictors of Start of Different Antidepressants in Patient Charts Among Patients with Depression’; ‘Implementing Electronic Healthcare Predictive Analytics: Considerations and Challenges’; ‘Big Data and Visual Analytics in Anesthesia and Healthcare’
  • Thought Leaders’ Corner: “What are some of the biggest challenges involved in improving the connection between predictive modeling staff and initiatives with end users?"
  • Industry News with briefs regarding National ACO and RISARC; Jvion; Real Time Medical Systems; SPH Analytics; GAFFEY Healthcare; Rise Health; Oculus Health; Auburn Community Hospital and ezDI
  • Predictably Quotable
  • Click here to view page one of this issue
  • Click here to subscribe to Predictive Modeling News, or find out more

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