Amy Powell, MS, LNHA
Director of Continuum Services and
Assistant to the President
WHY?
• 80% of post acute organizations are on Electronic
Medical Records (EMR/EHR)-We already have data at
our fingertips!
• Health Dept and Social Services already require
tracking and trending (i.e. incidents, medication errors,
discharges, wounds, fractures, anti-psychotics) We
already know how through training and guidance!
• CMS requires MDS data and Quality Measures already
in long term care/skilled nursing communities-it is
already being used by our oversight agencies!
Well… Why not?!
Times are changing…where will you be?
Affordable
Care Act
Higher
Acuity
Residents
ACOs,
MCOs,
Performance
Based
Payments
Predictive Analytics-Data
How is it important to providers?
• Reduce hospitalizations-proactively handles chronic disease
management prior to crisis
• Increase quality-in care and customer service
• Cut costs-crisis always costs more, more labor, more
expertise, more medical supplies
• Retain staff- assists staff with planning of resources, time and
work schedules
• Position you for better marketing- better reputation=more
business
• Decrease trauma in elderly transitions- reducing emotions of
resident and family, displacement of confused residents
when in hospital and scariness of being ill
What can it affect? Powers to change?
If you choose NOT to utilize your data,
what are the consequences?
You will be stuck in the past while
others move forward…
Your competitors will utilize the new
Technology…
Your customers will demand it as a minimum service..
Your partners will expect it as a routine service..
Your payers will require it!
A Partnership
on Predictive Analytics and Home
Health
•Analytics provided within a web-based system for mobile Home Health team
•Implement Auto Alert system with WC @ Home branding
•Integration into EHR and Auto Alert service for data compilation to determine risk
scores
•Rick scores determine probability of customer needing medical intervention
within 30 days
•Teams to work together to formulate care plans on how to interpret and act on
risk scores
What we hope to get out of the
partnership with Philips?
• Partner with experts who can help extract and
analyze particular data to make it useful and
manageable
• Care planning around how to use the data the
most efficiently and effectively (i.e. experience
of partner over large populations)
• Proactive action vs Reaction
• Planning for the future (e.g. staffing, acuity, crisis,
marketing)
• Spreading our mission: “Creating community to
foster joy and well-being”
Predictive analytics could be the next new king
of health care tools for providers…
Outcomes, Quality, Cost Control
The Next Step-How to start?
Outcomes-What matters most?
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•
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Extraction of Data
What to do with Data
Putting data into action
How and frequency of review
Audience reviewing and format of data is
important