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Complimentary from the publishers of
Predictive Modeling News October 2018 |
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"Given the various goals
of value-based care -- which generally touch financial,
operational and clinical bases -- providers of predictive
analytics solutions first need to be ‘customer-intimate,’
understanding more deeply the specific problems hospital systems
are facing and their prioritization of them. With that strategic
context understood, suppliers of these solutions then need to
tightly integrate their solutions with the actual workflows of
the particular provider organization. Finally, predictive
analytics vendors need to dialog with customers on a regular
basis to monitor the usage of the solutions, assess their
benefits, obtain feedback and further refine the predictive
models.”
- Ken Perez, Vice President
of Healthcare Policy, Omnicell Inc. |
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"The growing adoption of Big Data technologies has also
brought about an array of benefits for hospitals and other
healthcare facilities. Based on feedback from healthcare
providers worldwide, these include, but are not limited to, cost
savings in the range of 20% to 30%, an increase in patient
access to services of more than 35%, growth in revenues of up to
30%, reduction in emergency room visits by 10%, drop in patient
wait times by 30% to 60%, improvements in outcomes of as much as
20%, a 10% to 50% decline in mortality rates for conditions such
as heart failure and a reduction in the occurrence of
hospital-acquired and surgical site infections of nearly 60%.”
Excerpted from:
Predictive Modeling News, Volume 11 Number 10, October 2018,
Predictably Quotable:"SNS Telecom & IT, in a statement
announcing the availability of Big Data in the Healthcare &
Pharmaceutical Industry: 2018 – 2030: Opportunities, Challenges,
Strategies & Forecasts." |
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Predictive Analytics - The Future is Now
Predictive analytics are the key to unlocking patients’
healthcare needs. Join Dr. Matt Hoffman, UHIN’s Chief Medical
Informatics Officer (CMIO), for a guided tour of this exciting
advancement in patient care as he outlines how predictive
algorithms are built, the role LACE scores play in predicting
hospital readmissions, the future of intelligent alerts, the
data that makes it all possible, and much more!
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Jason Harber: 4 Steps for
Adopting Predictive Analytics in Your Hospital
1. Get C-Suite Buy-in.
2. Assess your options.
3.
Continue reading here
Source:
Hospital IQ Blog, September 25, 2018 |
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- Duke Team in JAMA: nSES Data
Doesn't Add Much Prediction Power Beyond what EHRs
Already Have
- Consultants See Hospitals,
Analytics Vendors in Deeper Relationships
- Movers & Shakers: Carisk
Partners, Roundtable Analytics, NuMedii,
AllazoHealth, Clarity Insights
- Accolades: HVH Precision
Analytics, Personalized Medicine Coalition,
EarlySense, HarrisLogic, Predicine, Flagship
Biosciences, Integron, HMS & Triple-S Salud
- Thought Leaders' Corner:
"How do hospital systems' and supplier
organizations' perspectives on predictive analytics
differ? Do suppliers supply the products and
services hospitals need? Do hospitals have realistic
PA goals? How could they better synch their PA
expectations?"
- Industry News: BHI,
Highmark, Roundtable Analytics, HealthCatalyst,
NJHA, LexisNexis
- Predictably Quotable
-
Click here to subscribe to
Predictive Modeling News, or find out more
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Modeling Bulletin, a publication of Health Policy Publishing LLC
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