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Health User GroupGreg Horne, National Lead, Healthcare

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Triple Aim, Cost, Quality, Access (Experience)

New buildsNeed for long term care bedsHome carePrimary care priority eConsult and managementOutcome driven funding

Bending cost curve Innovative funding modelsDriving qualityEvidence based medicinePatient safetySupply chain management

Management of chronic conditionsAccess to dataLocal servicesMore aware Interoperability

Infrastructure

FundingReform

Patients

Global Health Care Issues


• Specific education to gain analytics expertise

• Very articulate in models and mechanisms

• Using information for informed decisions

• Not educated as a data scientist

Right knowledge, right stakeholder in a meaningful manner

Everyone is an Analyst


Visualization, the Citizen Data Scientist


TODAYTHE

FUTURE

DA

TA

SIZ

E

Analytics Reality For Health• EMR

• Claims data

• Device generated

• Genomic

• Finance

• Operational

• Environmental

• Social determinates

• Research and journal

• Criminal Justice

• Personal apps

• Education

• Social services

• Social media


PROACTIVEINFORMATIONALAN

ALY

TIC

MA

TUR

ITY

StandardReporting

Ad HocQuery andReporting

QueryDrilldown

Alerting

StatisticalAnalysis

Forecasting

MachineLearning

ArtificialIntelligence

What % of patients have had a recent interaction with a social worker?

How many male patients live in a specific postcode?

Which physicians have better performance?

Which patients are not adhering to their medication?

Who is at risk of cardiac disease?

What would offering pharma care cost next year?

What impact could we expect from outreach in driving screening rates?

What is the best outcome?

Decision-Making SpectrumWhat is the next best action for this patient?


Forecast Paradox

• No one gets rewarded for delivering failure

• Focus is key

• Change management

• Measured outcomes

• Know when successful


How Does AI Learn?


IOT Feeds AI, and Repeat….


Adapting the Personal Health Record


Activated: I’ll take your help

• I am inspired by my relationships with family members and friends

• I am driven by my peers to accomplish goals that are difficult

• I am motivated by my family history

• My friends are an important source of support and encouragement

• I have conversations about health outside of the healthcare environment

• I am comfortable talking about health issues with friends


Independents: I’ll do it myself

• I focus on small actions and achievements but I am avoiding the bigger problem

• I want to do the research myself before making decisions

• I don’t think I need help from others to make myself healthier

• I know what to do


Procrastinators: I have no time for this

• I am too busy for healthy behaviors. I put things off for another day

• I wait too long to visit my health provider, and then feel its too late

• I don’t need to do anything to change my behavior. I am in denial

• I have no internal motivation or incentive to succeed in health goals and I am not interested in trying

• It’s all so boring and tedious


Analytics Playing a Role Throughout The Journey

Treat

Coordinate Engage

Identify Care Gaps

Execute Outreach Campaigns

Prevent

Reward & Sustain

ProfilePatients

Predict Risk Score

PersonalizeCare Plan

Measure Treatment Outcomes


Case Study San Bernardino County Behavioral Health

CHALLENGE• Guide service strategy and community outreach efforts.

• Reduce stigma for residents who need behavioral health services.

• Reduce hospital readmissions.

• Improve quality of care.

• Enhance decision making across DBH

SOLUTION• SAS Advanced Analytics

• SAS Data Management

• SAS Enterprise BI Server

RESULTS• Determined what services to offer in what locations and where to provide

community outreach.

• Dispelled misconceptions about consumers requiring behavioral health services.

• Developed process improvements to reduce hospital readmissions.

• Helped clinicians evaluate program targets and outcomes to improve care.

“We need to make good decisions about the community we’re serving, and the best way to do that is to collect, manage and analyze data.”

Sarah Eberhardt-Rios

Deputy Director for Program Support Services


Patient Flow Optimization

Results as a Service – Case Study ExampleHealth Care Industry

Business Issue

Hospitals have capacity issues in recovery units – surgery to PACU

or ER and moved to recovery units (Physical beds and

appropriate staffing)

Some recovery units are over or underutilized and there is risk

that patients may be assigned to an improper recovery unit.

Results

Predict patient demand to support the daily

management of patient flow to identify patient flow

problems.

-Predicted hourly census-Admissions and discharges by hour-Number in service and off service-Number of patients waiting and avg wait time


Case Study Dignity Health Sepsis Reduction

CHALLENGE• Reduce hospital readmissions.

• Improve quality of care.

• Enhance decision making across DBH

SOLUTION• SAS Advanced Analytics

• SAS Data Management

• SAS VA

RESULTS• Sepsis mortality rates have dropped between 5% and 13% across hospitals

• ICU LOS down 10%

• Downstream improvement in clinical quality

“Nothing more worthwhile than the work this system has done using analytics to recognize symptoms of sepsis and prevent situations where patients are going over the waterfall, and far downstream.”

Joseph Colorafi, M.D., Vice President and CMIO


Thank you!www.linkedin.com/in/gregihorne

[email protected]
http://www.linkedin.com/in/gregihorne

health user group - sas institute group...copyright © sas institute inc. all rights reserved. ty...

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