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Complimentary from the publishers of
Predictive Modeling News September 2018 |
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"I think silos lead to
unsuccessful analytics initiatives. Ineffective communication
can mean data analysts and model developers don’t understand the
data they’re receiving, or they don’t know how to match the
insights their models yield with the needs of the end-users.
Either case can cause an initiative to fail.”
- Thomas F. Bohrmann, PhD,
Co-Founder and Director of Statistical Practice, Roundtable
Analytics. |
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Future of Healthcare Analytics
During this session we will look at which technologies can help
healthcare companies analyze their data without investing in
years of design and implementation. While not all needs can be
met with this type of analysis, these technologies help them be
better prepared to answer questions for the government and
stakeholders.
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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.
Continue reading here
Source:
Health IT Analytics, September 4, 2018 |
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- Applying Blockchain to the
Healthcare Industry by Bob Fuller
- Survey Examines Priorities
for Predictive Modeling Activities
- New Products: IQuity; bioIQ;
XSOLIS; Health Catalyst; Resility Health
- Thought Leaders' Corner:
"What's on your short list of significant factors
that contribute to unsuccessful predictive modeling
initiatives?"
- Industry News: TrestleTree;
Allure Group; Proactive Worldwide
- News at Deadline: Amedisys
partners with Medalogix
- Catching Up With ... Anton
Berisha, MD
-
Click here to subscribe to
Predictive Modeling News, or find out more
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Predictive
Modeling Bulletin, a publication of Health Policy Publishing LLC
1101 Standiford Avenue, Suite C-3, Modesto, CA 95350
(v) 209.577.4888 | (f) 209.577.3557
© 2018, Health Policy Publishing LLC
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