Upload
perficient-inc
View
1.410
Download
1
Embed Size (px)
Citation preview
Microsoft in Healthcare Analytics
Georgia HIMSS
Martin SizemoreOctober 2, 2012
Perficient Recognized by Microsoft
• Microsoft Healthcare Provider Partner of the Year award winner for the 2nd time in 3 years.
• “Perficient combines deep health industry expertise with a high level of competency on Microsoft technologies. The result is a set of high value solutions that deliver value to the world’s leading healthcare enterprises,” Steve Aylward, general manager, US Health & Life Sciences, Strategies & Solutions, Microsoft.
2
Microsoft Partner Landscape
12Global
SystemsIntegrators
33 National Systems
Integrators
500 Managed Partners
500,000 Gold Partners
Top 3 in the NSI Category.
Healthcare organizations are going through a technology and data revolution. Pressure from a wide range of sources are forcing both providers and payers to look at their data and technology investments in new and innovative ways:
– Use data to improve quality of care– Increase financial efficiency – Improve operational effectiveness– Conduct innovative research– Satisfy regulatory requirements
Perficient’s expertise and experience with full life-cycle BI Implementations, including the following disciplines:
– BI/Information Strategy– BI Design (User-Centered Approach)– BI Architecture & Enterprise Security (LDAP/SSO)– BI Implementation BI Education and Mentoring– Data Integration / Data Warehousing– Business Analytics and Reporting– Portal Integration
• Thousands of hours redirected to other tasks
• Enhanced analytics allow both in-depth and simple analytics
• Improved reporting and data mining capability
Business Intelligence & Analytics
4
Meriter Health Systems
• Over 3,400 employees• Locations throughout southern Wisconsin• MHS includes:
– Meriter Hospital, Meriter Medical Group, Meriter Medical Clinics, Meriter Home Health, Meriter Laboratories, Meriter Foundation, Physician Plus Insurance Corporation
• Implemented a Cost Containment Dashboard• Integrated Clinical & Financial Systems• Utilized Microsoft Stack• RVU Based Compensation Reporting
Meriter Orthopedics Dashboard
Meriter Orthopedics Dashboard
DuPage Medical Group
• DMG is one of the largest physician-owned, multi-specialty groups in the Midwest
• DMG has more than 300 practicing physicians, 35 medical/surgical specialties and 40 locations
• Leveraged existing SQL Server infrastructure• Jump started an organizational transition towards using
standardized metrics• Encouraged “Self Service” Reporting• Provided Advanced Reporting and Analytical Capabilities
DuPage Medical Reporting
Agenda
1. Who is Predixion and what we do?2. Capabilities3. Use case based demo
Who is Predixion?
Predixion’s Vision
Predixion is a Predictive Analytics software company focused on healthcare
• Squeeze the complexity out of Predictive Analytics and Data Mining
• Enable the integration of Predictive Intelligence into all decisioning processes.
Retrospective vs. Prospective
How do we do better?
Predictive Analytics
How did we do?
Business Intelligence
Reactionary Healthcare The ACO Model
Easier to Create, Share and Consume
Insight Analytics™ - Easy data prep, model build and deployment
Predictively enabled: Dashboards, Applications, Reports
Easier to Create
Easier to Share
Easier to Consume
Innovating on “Ease-of-Use”
Analyst Creates Models
Enabling Non-IT Users
Enabling Non-IT Users
Integrated Predictive Intelligence
Management Views to better understand the patient population
Clinician Views to better predict individual patient outcomes
Operational Views that integrate predictive information into workflows
Predictive Solutions in Healthcare
•Predictable Readmissions•Chronic Condition Management•Co-Morbidity Identification•At Risk Patient Population Detection•Hospital Acquired Condition •Proactive LOS Monitoring•Blood Supply •Patient Satisfaction Scores
Use case name Overall goal: Use Predixion Insight to…
Preventing disease or disease progression
Decrease the incidence and/or progression of disease across covered population, improving member health and decreasing cost.
Manage population health
Score the probability of individual patients for developing a specific disease (heart disease, cancer, etc) or condition (osteoarthritis, obesity, depression) across covered population and deploy interventions shown to mitigate that disease process, thereby improving member health and decreasing cost.
***Predict readmission risk
Score the probability of readmission for currently admitted patients providing actionable information allowing the healthcare system to sensibly intervene to prevent those readmissions in a cost-effective and efficient manner.
Predict high-risk pregnancy risk
Develop a screening tool that allows payor to more accurately direct newly pregnant women at risk for complicated pregnancy to appropriate high-risk clinical setting. Specifically identify indicators for this condition to direct appropriate interventions.
***Length of Stay (LOS) estimation
Increase the accuracy and potentially automate the LOS estimation where possible.
Outlier/anomaly detection
Analyze various data sources to score from a probabilistic standpoint if outlying data points or anomalous trends are significant and further delineate underlying factors that are associated with those data points or trends.
Use Cases
Use case name Overall goal: Use Predixion Insight to…
***Overpayment Detection
Examine various data sets to determine if there is any pattern in claims data that could be accounted for by either fraud or error.
Hospital Acquired Illness
Score the probability of individual patient's developing a HAI and identify specific indicators that allow pro-active intervention to prevent this condition.
Chronic Condition Management
Score the probability of individual patients for developing a specific disease (heart disease, cancer, etc) or condition (osteoarthritis, obesity, depression) across covered population and deploying interventions shown to mitigate that disease process, thereby improving member health and decreasing cost.
***Fraud and Abuse Examine various data sets to determine if there is any pattern in claims data that could be accounted for by either fraud or error.
Membership Management
Develop probabilistic models that determine factors important to retaining subscriber membership or that lead to de-enrollment. Also, develop models that allow for proactive management of enrolled patient's health and resource utilization.
Provider Performance Measurement
Develop probabilistic models that score practioners likelihood to perform desirable actions that promote population health and/or influence appropriate resource utilization.
***Patient Satisfaction Scores
Use Cases
Predictive Intelligence - CMS Metrics Mapping
Patient/ Caregiver
Experience
1: Getting Timely Care, Appointments, and Information
2: How Well Your Doctors Communicate
3: Helpful, Courteous, Respectful Office Staff4: Patients' Rating of Doctor5: Health Promotion and Education6: Shared Decision Making
7: Medicare Advantage CAHPS, health Status/Functional Status
Care Coordinatio
n
Transition
8: Rate of readmissions within 30 days of discharge from an acute care hospital for assigned ACO beneficiary population
9: 30 Day Post Discharge Physician Visit
10: Reconciliation After Discharge from an Inpatient facility. Percentage of patients aged 65 years and older d/c from any inpatient facility and seen within 60 days
11: Uni-dimensional self-reported survey that measures the quality of preparation for care transitions
12: Diabetes, short-term complications (AHRQ PQI #1)
13: Uncontrolled Diabetes (AHRQ PQI #14)
14: Chronic obstructive pulmonary disease (AHRQ PQI #5)
15: Congestive Heart Failure (AHRQ PQI #8)16: Dehydration (AHRQ PQI #10)17: Bacterial pneumonia (AHRQ PQI #11)18: Urinary infections (AHRQ PQI #12)
Information
System
19: % All Physicians Meetings Stage 1 HITECH Meaningful Use Requirements
20: % of PCPs Meeting Stage 1 HITECH Meaningful Use Requirements
21: % of PCPs Using Clinical Decision Support
22: % of PCPs who are Successful Electronic Prescribers Under the eRx Incentive Program
23: Patient Registry Use
Preventative Health
26: Influenza Immunization27: Pneumococcal Vaccination28: Mammography Screening29: Colorectal Cancer Screening
30: Cholesterol Management for Patients with Cardiovascular Conditions
31: Adult Weight Screening and Follow-up32: Blood Pressure Measurement33: Tobacco Use Assessment and Tobacco Cessation Intervention34: Depression Screening
Patient Safety24: Health Acquired Conditions Composite25: Health Care Acquired Conditions: CLASBI Bundle
At-Risk Populations
Diabetes
35: Composite (All or Nothing Scoring) 36: Hemoglobin A1c Control (<8%)
37: Low Density Lipoprotein (LDL-C) Control in Diabetes Mellitus
38: Tobacco Non Use39: Aspirin Use40: Hemoglobin A1c Poor Control (>9%)41: High Blood Pressure Control in Diabetes Mellitus
42: Urine Screening for Microalbumin or Medical Attention for Nephropathy in Diabetic Patients
43: Dilated Eye Exam in Diabetic Patients44: Foot Exam
Heart Failure
45: Left Ventricular Function (LVF) Assessment46: Left Ventricular Function (LVF) Testing47: Weight Management48: Patient Education
49: Beta-Blocker Therapy for Left Ventriclar Systolic Dysfunction (LVSD)
50: Angiotensin-Converting Enzyme (ACE) Inhibitor or Angiotensin Receptor Blocker (ARB) Therapy for Left Ventricular Systolic Dysfunction (LVSD)51: Warfarin Therapy for Patients with Atrial Fibrillation
CAD
52: Composite: All or Nothing Scoring53: Oral Antiplatelet Therapy Prescribed for Patients with CAD54: Drug Therapy for Lowering LDL-Cholesterol
55: Beta-Blocker Therapy for CAD Patients with Prior Myocardial Infection (MI)
56: LDL level < 100 mg/dl
57: Angiotensin-Converting Enzyme (ACE) Inhibitor or Angiotensin Receptor Blocker (ARB) Therapy for Patients with CAD and Diabetics and/or Left Ventricular Systolic Dysfunction (LVSD)
Hypertension 58: Blood Pressure Control59: Plan of Care
COPD
60: Spirometry Evaluation
61: Smoking Cessation Counseling Received
62: Bronchodilator Therapy based on FEV1 Measures
Frail Elderly
63: Screening for Fall Risk;
64: Osteoporosis Management in Women Who had a Fracture
65: Monthly INR for Beneficiaries on Warfarin
Maps to Existing Solution Reuse of Existing Solution New Solution Potential New Solution
Identifying At-Risk Populations
I’m the 5%!
Risk Stratification with Predixion
A core ACO skillset for identifying and managing patient populations and driving proactive healthcare
500
300
125
Low Medium High
925
Total Population
Know who is at risk
92%26% 37%46%
23%74% 58%
Lay the foundation for Preventative Healthcare
Adapt care plans by risk strata
Improve efficiency and drive better patient outcomes
High Risk
Medium Risk
Low Risk
“Build the model”
Predixion Insight Ribbon in Excel
Identifying Key Influencers
Create the Model from Excel
Test the Model’s Accuracy
Data + Probability Score
Create ROI Analysis in Excel
“Deploy the model”the last mile of analytics
37
Predixion’s Last Mile of Analytics
38
Predixion’s Last Mile of Analytics
39
Predixion’s Last Mile of Analytics
40
Predixion’s Last Mile of Analytics
41
Predixion’s Last Mile of Analytics
42
Predixion’s Last Mile of Analytics
Thank you