Population Health Management



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Population Health HIMSS 2014 Disclosure Paul Mulhausen and Brian Barry are employed by Telligen. Session Objectives You will be able to define population health management (PHM) and population medicine. You will recognize the opportunity to use PHM solutions to achieve better care, healthier populations, and lower costs. You will understand the keys to a successful IT implementation of a PHM solution. You will apply population health management models and the chronic disease pyramid to chronic disease prevention and management. 1

Iconic Image of Western Medicine The Doctor 1849, Luke Fildes Iconic Image for Population Health John Snow Breaks the Handle on the Broad Street Pump, 1854 What is Population Health? Is it. The relative investment into healthcare services vs. social services to support health? The management of resources in a population of patients in a capitation payment arrangement health plan? The management of healthcare resources for a geographic population served by a healthcare system? The coordination of care for a panel of patients cared for by a clinical service or healthcare system? Employee Wellness Programs? 2

What is Population Health? The relative investment into healthcare services vs. social services to support health? The management of resources in a population of patients in a capitation payment arrangement health plan? The management of healthcare resources for a geographic population served by a healthcare system? The coordination of care for a panel of patients cared for by a clinical service or healthcare system? Employee Wellness Programs managing demand? Population Health Population Health is a concept of health defined as the health outcomes of a group of individuals, including the distribution of such outcomes within the group. Example Populations Geographic regions Nations Communities Employees Ethnic Groups Health Plan Members Kindig and Stoddart. Am J Pub Health 2003; 93(3):380-383 The Elements of Population Health Kindig and Stoddart. Am J Pub Health 2003; 93(3):380-383 3

What is Population Health? Defining Population Health Improving the systems and policies that affect health care quality, access, and outcomes, ultimately improving the health of an entire population. Editorial Board of the Journal Population Health Population Health Confusing Terminology Population Health Population Population Medicine Empanelment Panel Public Health 4

Population Medicine The specific activities of the medical care system that, by themselves or in collaboration with partners, promote population health beyond the goals of care of the individuals treated. Harvard Pilgrim Department of Population Medicine http://www.improvingpopulationhealth.org/blog/2012/06/is-populationmedicine-population-health.html The Rationale for Population Health The US HHS National Quality Strategy Better Care: Improve the overall quality by making health care more patient-centered, reliable, accessible, and safe Healthy People/Healthy Communities: Improve the health of the U.S. population by supporting proven interventions to address behavioral, social, and environmental determinants of health in addition to delivering higher-quality care Affordable Care: Reduce the cost of quality health care for individuals, families, employers, and government. The Rationale for Population Health Where we spend most of our national expenditures on health. http://www.nejm.org/doi/pdf/10.1056/nejmsa073350 5

The Rationale for Population Health The higher amount of spending on health care in the US does not appear to produce commensurate results. Rationale for Population Health JAMA. 2012;307(14):1513-1516 Current waste diverts resources from productive use, resulting in an estimated $750 billion loss in 2009. IOM (Institute of Medicine). 2013. Best care at lower cost: The path to continuously learning health care in America. Rationale for Population Health in Healthcare Complements the medical provider role as a consultant. Improves coordination of care in a system of complex care. Enhances recognition and closure of care gaps. Opportunity to intervene at root causes. 6

Population Health Ten Steps of PHM 1. Profile Client Define Population 2. Stratify Population 3. Member Attribution 4. Engage Providers 5. Apply Guidelines 6. Engage Members Gaps in Determinants 7. Care Coordination Apply Policy 8. Member Satisfaction 9. Measure Outcomes 10. Report Outcomes Monitor Outcome Population Health Ten Steps of PHM 1. Stratify Population 2. Member Attribution 3. Engage Providers 4. Apply Guidelines 5. Engage Members Define the Population Gaps in Determinants 6. Care Coordination Apply Policy 7. Member Satisfaction 8. Measure Outcomes 9. Report Outcomes 10. Profile Client Monitor Outcome Population Health Hot Spotting What s Old is New https://youtu.be/id06y-p58ue 7

Population Health Disabling the Broad Street Pump Steps in PHM Endingthe Broad Street Cholera Epidemic 1. Define the Population Peopleliving in the Soho District of London 2. Stratify or characterize the population Thosewith cholera and those without cholera, and where they live 3. Identify gaps in determinants Water from Broad Street Pump 4. Apply policyor procedure to close the gaps in determinants Remove the Broad Street Pump Handle 5. Monitor the outcome Cholera epidemic stops Population Health What s Different Now? Costly Disease Treatments Chronic Disease Aging Populations Complex Healthcare Settings Capacity to access and analyze information IT Keys to Success for PHM Core Services Patient Engagement Provider Engagement Healthcare Intelligence Care Performance Measurement Health System Payer Provider Member Clinical Integration Patient-Centric Warehouse - Care Plans - Problem Lists -Provider Correspondence Patient Correspondence - Specialized Assessments -Risk Scores -Historical Costs -Predicted Costs -Clinical Conditions -Quality Measure Results -Care Opportunities - Population Demographics -Claims -Clinical -Labs -Pharmacy - HRA -Biometrics - Patient Experience -Eligibility -Provider Dashboard -My Population -My Quality Measure Domains -Clinical Outcomes -Clinical Processes -Efficiency -Financial -Patient Safety -Patient Experience -ACO/PQRS/HEDIS Lab System Custom Analytics HIEs Information Exchange NwHIN Predictive Modeling Engine 8

IT Keys to Success for PHM Health System Payer Provider Member Lab System Clinical Integration Core Services 1. Define the Population Patient Engagement Provider Engagement IT Keys to Success: Solid Enterprise (EDM) foundation Standard and custom file data mapping Configurable Business Rules Patient-Centric Master Patient/Provider Index Warehouse -Claims -Clinical -Labs -Pharmacy - HRA -Biometrics - Patient Experience -Eligibility -Provider Healthcare Intelligence Dashboard -My Population -My Quality Measure Domains -Clinical Outcomes -Clinical Processes -Efficiency -Financial -Patient Safety -Patient Experience -ACO/PQRS/HEDIS Custom Analytics Information Exchange HIEs NwHIN Predictive Modeling Engine IT Keys to Success for PHM Core Services 2. Stratify the Population IT Keys to Success: Proven Predictive Modeling Health System Ability to tweak the model Take into account: High occurrence High costs High Impact Payer Provider Member Lab System Clinical Integration Patient Engagement Patient-Centric Warehouse Provider Engagement -Risk Scores -Historical Costs -Predicted Costs - Prevalence - Impactability -Claims -Clinical -Labs -Pharmacy - HRA -Biometrics - Patient Experience -Eligibility -Provider Healthcare Intelligence Dashboard -My Population -My Quality Measure Domains -Clinical Outcomes -Clinical Processes -Efficiency -Financial -Patient Safety -Patient Experience -ACO/PQRS/HEDIS Custom Analytics Information Exchange HIEs NwHIN Predictive Modeling Engine IT Keys to Success for PHM Core Services Patient Engagement Provider Engagement Healthcare Intelligence Health System Payer Provider IT Keys to Success: Completeness Member Provider attribution Alignment of measures to industry standards Ongoing maintenance of measures Lab System Clinical Integration 3. Identify Gaps in Care Patient-Centric Warehouse -Risk Scores -Historical Costs -Predicted Costs - Prevalence - Impactability -Quality Measure Results - Care Opportunities -Claims -Clinical -Labs -Pharmacy - HRA -Biometrics - Patient Experience -Eligibility -Provider Dashboard -My Population -My Quality Measure Domains -Clinical Outcomes -Clinical Processes -Efficiency -Financial -Patient Safety -Patient Experience -ACO/PQRS/HEDIS Custom Analytics Information Exchange HIEs NwHIN Predictive Modeling Engine 9

IT Keys to Success for PHM Core Services Patient Engagement Provider Engagement Healthcare Intelligence Health System IT Keys to Success: Portals to connect to the Providers Payer Nurse-driven workflows Smart prioritization Condition-specific care plans Ability to engage and inform members/patients anywhere Provider Member Lab System 4. Apply policy or procedure Clinical Integration Care Patient-Centric Warehouse Performance Measurement -Care Plans -Problem Lists -Provider Correspondence Patient Correspondence - Specialized Assessments -Risk Scores -Historical Costs -Predicted Costs - Prevalence - Impactability -Quality Measure Results - Care Opportunities -Claims -Clinical -Labs -Pharmacy - HRA -Biometrics - Patient Experience -Eligibility -Provider Dashboard -My Population -My Quality Measure Domains -Clinical Outcomes -Clinical Processes -Efficiency -Financial -Patient Safety -Patient Experience -ACO/PQRS/HEDIS Custom Analytics Information Exchange HIEs NwHIN Predictive Modeling Engine IT Keys to Success for PHM Core Services Patient Engagement Provider Engagement Healthcare Intelligence Health System Payer Provider Member Lab System Information Exchange HIEs NwHIN Clinical Integration Care Patient-Centric Warehouse Performance Measurement -Care Plans -Problem Lists -Provider Correspondence Patient Correspondence - Specialized Assessments -Risk Scores -Historical Costs -Predicted Costs - Prevalence - Impactability -Quality Measure Results - Care Opportunities 4. Monitor the Outcome -Claims -Clinical -Labs -Pharmacy - HRA IT Keys to Success: -Biometrics - Patient Experience -Eligibility -Provider Timely and accurate information to care providers Schedule-driven follow ups with members/patients Patient-monitored device integration Wearables CPAP Predictive monitoring Tablet-based Modeling resources Engine Dashboard -My Population -My Quality Measure Domains -Clinical Outcomes -Clinical Processes -Efficiency -Financial -Patient Safety -Patient Experience -ACO/PQRS/HEDIS Custom Analytics Solution Overview Core Services Patient Engagement Provider Engagement Healthcare Intelligence Care Performance Measurement Health System Payer Provider Member Clinical Integration Patient-Centric Warehouse -Care Plans -Problem Lists -Provider Correspondence Patient Correspondence - Specialized Assessments -Risk Scores -Historical Costs -Predicted Costs - Prevalence - Impactability -Quality Measure Results - Care Opportunities -Claims -Clinical -Labs -Pharmacy - HRA -Biometrics - Patient Experience -Eligibility -Provider Dashboard -My Population -My Quality Measure Domains -Clinical Outcomes -Clinical Processes -Efficiency -Financial -Patient Safety -Patient Experience -ACO/PQRS/HEDIS Lab System Custom Analytics HIEs Information Exchange NwHIN Predictive Modeling Engine 10

Telligen Future State of PHM Automated alerts Member: email, text messages, apps Provider: care gaps, performance scores, CDS (integration with EHRs) Device integration Mobile: disease, nutrition, socio-economics, gamification Monitoring devices: pedometers, glucometers, scales, CPAP Bi-directional integration: HIE, EHR, Public reporting Automated Intelligence/Natural Language Processing Big ; tap the value of unstructured data Financial/Actuarial modeling Social Networking Care Team, Member self-management, chat rooms Chronic disease and concentration of healthcare spending 75% of healthcare dollars are spent on chronic disease, and 50% of all healthcare spending is spent on 5% of the population Population Health Models Addressing Chronic Disease The Chronic Care Model Pyramid of Care Case Highly complex Patients (top 5%) Care High Risk Patients Primary Care with Support/Supported Self Care 65-80% of patients with chronic conditions Adapted from Nolte E, McKee M. Caring for people with chronic conditions. A health system perspective. McGraw Hill. 11

Chronic Disease and PHM A Case Study SoonerCare HMP Steps in PHM High Risk Care 1. Define the Population SoonerCareMembers with Common Chronic Disease 2. Stratify or characterize the population 3. Identify gaps in determinants Regressionmodels to predict risk of utilization and expenditures: Tier 1. Highest Predicted Risk Tier 2. Next Highest Predicted Risk Care manager assessment Clinical registry of claims and quality measures Cerebrovascular Disease and PHM A Case Study SoonerCare HMP Steps in PHM 4. Apply policyor procedure to close the gaps in determinants High Risk Care Health coaching Self-management support Outreach for treatment and prevention Care Coordination Coordination of social services 5. Monitor the outcome Closure in Care Gaps/ Ratesof Hospitalization/Costs Inpatient Utilization Trends Tier 1 Tier 2 65% reduction 58% reduction 12

ER Utilization Trends Tier 1 Tier 2 7% reduction 17% reduction Quality of Care Results Nurse Care Practice Facilitation Most Improved HMP participants performed better than the comparison group on 76% of disease-specific clinical measures Improved on 83% of diseasespecific clinical measures Asthma, CHF, COPD, diabetes and hypertension Cost-effectiveness Nurse Care Overall per member per month savings in medical expenditures runs a $32.62 deficit in the 1st 12 months, but results in savings of $342.67 after 13 months. 13

Take Home Points Population Health strategies can be applied to the prevention, treatment, and care of patients. Population Health Models and models of risk stratification can guide the development and implementation of population management strategies. Approaches to care that incorporate population health management strategies can impact quality and cost of care. New information management technologies can help clinicians integrate population health management into their clinical work flow. 14