landmark review of population health management
DESCRIPTION
Population health management (PHM) is in its early stages of maturity, suffering from inconsistent definitions and understanding, overhyped by vendors and ill-defined by the industry. Healthcare IT vendors are labeling themselves with this new and popular term, quite often simply re-branding their old-school, fee-for-service, and encounter-based analytic solutions. Even the analysts —KLAS, Chilmark, IDC, and others—are also having a difficult time classifying the market. In this paper, I identify and define 12 criteria that any health system will want to consider in evaluating population health management companies. The reality of the market is that there is no single vendor that can provide a complete PHM solution today. However there are a group of vendors that provide a subset of capabilities that are certainly useful for the next three years. In this paper, I discuss the criteria and try my best to share an unbiased evaluation of sample of the PHM companies in this space.TRANSCRIPT
© 2013 Health Catalystwww.healthcatalyst.comProprietary. Feel free to share but we would appreciate a Health Catalyst citation.
© 2013 Health Catalystwww.healthcatalyst.com
Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
The 12-Criteria of Population Health ManagementBy Dale Sanders
© 2013 Health Catalystwww.healthcatalyst.comProprietary. Feel free to share but we would appreciate a Health Catalyst citation.
Overview
• Evaluate healthcare IT vendors and their PHM offerings
• Develop internal strategies and roadmaps for Accountable Care Organizations (ACO)
Focus is on the data management of Population Health Management
Purpose
• Not necessarily the processes of PHM
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RIA Precise Patient Registries
Evidence-based definitions of patients to include in population health registries
1
Beyond ICD-9 billing codes, which are likely to miss 30-40% of the population
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RIA Patient-Provider Attribution
Strategies and algorithms to assign patients to accountable physicians or clinicians
2
Generally accepted high-level options for assigning attribution
Patient selection of physician during open enrollment
“Most frequently visited” physician over the past two years
Random assignment of patients to primary care physicians in the same geographic area
Random assignment of patients in an employer group to primary care physicians in the PPO or HMO
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RIA Precise Numerators in Registries
Discrete, evidence-based methods for flagging the patients in the registries that are difficult to manage or should be excluded
3
Reasons why a patient may not be able to fully comply with clinical protocols
Language barriers
Cognitive inability to participate in a care protocol
Physical inability to participate in a care protocol
Economic inability to participate in a care protocol
Willing and informed refusal to participate in a care protocol, e.g. religious reasons
Medication contraindications to participating in a care protocol
Geographic inability to participate in a care protocol
Mortality (it can be surprisingly difficult to identify these patients)
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RIA Clinical and Cost Metrics
Monitoring clinical effectiveness and cost of care to the system and patient
4
Measure practice of medicine against these protocols
Measure the variability in care
Build dashboards around specific patients and population of patients
Must track the total cost of care for specific patients and a per-capital basis across the population
Provide quality, outcome, and cost variance feedback to physicians, risk adjusted, at the point of care
Ultimately this prepares an organization for fixed-fee contracting in a true value-based system
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RIA Basic Clinical Practice Guidelines
Evidence-based triage and clinical protocols for single disease states
5
Number of patientsIn the population
The Average Total MedicalExpenditure (TME) per CapitaX( ) ( )
Measure practice of medicine against these protocols
Current evidence-based medicine lacks applicability outside the specific clinical trial
In the future, clinical trials’ “evidence” will be displaced by derived evidence from the analysis of local data sourced by the EDW
In the meantime, the industry must make-do with existing evidence and guidelines
Many external commercial sources and commercial vendors
Health systems need to establish a “Clinical Practice Guidelines” governance body and select their source(s) and processes
Start by defining clinical practice guidelines for patient cohorts and process families that offer the highest opportunity for improvement and cost savings
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RIA Risk Management Outreach
Stratified work queues that feed care management teams and processes
6
First need to stratify and monitor the registry patients
Then develop strategies to identify and intervene with high-risk trajectory patients
Ultimately need to profile and proactively treat patients before becoming members of the registry
Risk stratification enables an organization to analyze and minimize the progression of a disease and the development of comorbidities
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RIA Acquiring External Data
Access to clinical encounter data, cost data, laboratory test results, and pharmacy data outside the core healthcare delivery organization
7
Contrary to current national strategy and focus, acquiring external data should be a secondary focus in today’s market
It is geometrically more complicated to manage a patient population beyond the core healthcare delivery organization
Start with in-house process and data quality first
Then, carefully and deliberately expand the data ecosystem
HIEs are the most visible technology associated with ACO external data exchanges, but only address a small portion of the data puzzles required for PHM
The “A” in M&A will shift from bricks-and-mortar acquisition to data acquisition
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RIA Communication with Patients
Engaging patients and establishing a communication system about their care
8
Current solutions are fragmented and immature but will improve dramatically in the next 3 years
Today’s typical patient engagement solution is through a personal health record (PHR) tightly associated with a healthcare delivery organization EMR
The future patient engagement solution will be completely patient owned, decoupled from an EMR or single healthcare organization
The PHR will evolve into a personal project management system, with a combination of project management, knowledge management and social support.
Take advantage of current PHRs, but be prepared to jettison current PHRs for something more informative, customized, collaborative and functionally rich
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RIA Educating and Engaging Patients
Patient education material and distribution system, tailored to the patient’s status and protocol
9
Our current patient education system is hampered by the lack of highly personalized materials and an effective distribution system
Often, today’s patients receive no education material about their condition
PHRs tend to present generic education information
No certified, widely available method of evaluating material quality
Widely used vehicles like Twitter, Facebook, Zite, and Amazon have yet to be fully embraced
• Low-income, preteen girl with type 1 diabetes likely to receive same education material as a middle-aged executive man
• Materials are not tailored to blend comorbid conditions together
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RIA Complex Clinical Practice Guidelines
Evidence-based triage and clinical protocols for comorbid patients
10
Establishing protocols for comorbid patients is complicated
Few industry sources for clinical protocols for comorbid patients
Physicians often left to build their own guidelines, or chain individual disease treatment protocols together
Medicare patients on average affected by at least chronic diseases at the same time
Organizations that optimize comorbid care will be in a strong position to differentiate themselves in the market, both financially and clinically
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RIA Care Team Coordination
Inter-clinician communication and project coordination
11
We need to treat every patient as if they are at the center of a project plan
All members of a patient’s care management team should be able to quickly and easily see the patient’s overall project plan, next milestones, and responsibilities
Acute encounters should show recovery milestones and assigned people
Chronic diseases should show a lifetime project plan for health
The ideal system would function like a project management tool (like Basecamp)
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RIA Tracking Specific Outcomes
Patient-reported outcomes measurement system, tailored to the patient’s status and protocol
12
Patient-reported outcomes data is one of the most important pieces of data missing from our ecosystem today
Our best efforts today is assessing patient satisfaction, but that data falls short as an aid for measuring actual clinical outcomes
This is also the most culturally and technically difficult criteria to implement
Currently, no reasonable options exist in our industry
A future patient-reported outcomes system must have a closed-loop data relationship with the EMR, and then exported to the EDW for analytic purposes
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Vendor Evaluation and Scoring
No single vendor today offers an integrated and fully functional population health management solution that meets all 12 criteria
Vendor scoring criteriaPersonal experience as a customer of the vendors’ products
Personal experience as an executive in the company (i.e. Health Catalyst)
Conversations and interviews with current and past customers of the vendors’ products
Market reports from, and conversations with, industry analysts at KLAS, Chilmark, IDC, Gartner, and the Advisory Board
Publically available information on the vendors, including their own case studies, white papers, on-line product demos, and product information
Conversations with current and past employees of the vendors
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Vendor Evaluation and ScoringTwo patterns emerge from the scores
1: The vendor market is very inconsistent in its approach to population health management
2: Not all criteria equally important now
The first six to eight criteria are the most important now
They should be weighted heavier in the decision making and deployment planning process
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Vendor Evaluation and Scoring
Crimson ExplorysHealth
CatalystLumeris
OptumHumedica
Phytel PremierAverageScore
Criteria #01:Precise Patient Registries
5 5 9 3 3 3 3 4.4
Criteria #02:Precise Patient Attribution
5 5 8 5 6 5 5 5.6
Criteria #03:Precise Numeratorsin the Patient Registries
0 0 5 0 0 0 0 .7
Criteria #04:Clinical andCost Metrics
7 7 9 6 5 4 5 6.1
Criteria #05:Basic ClinicalPractice Guidelines
0 0 0 3 5 5 0 1.9
Criteria #06:Risk ManagementOutreach
1 0 0 5 7 5 0 2.6
Sub-Total 18 17 31 22 26 22 13
First tier evaluation scores
© 2013 Health Catalystwww.healthcatalyst.comProprietary. Feel free to share but we would appreciate a Health Catalyst citation.
Vendor Evaluation and Scoring
Crimson ExplorysHealth
CatalystLumeris
OptumHumedica
Phytel PremierAverageScore
Criteria #07:Acquiring External Data
0 5 6 0 4 2 7 3.4
Criteria #08:Communication with Patients
0 0 0 4 5 6 0 2.1
Criteria #09:Educating and Engaging Patients
0 0 0 2 3 4 0 1.3
Criteria #10:Clinical andCost Metrics
0 0 0 0 0 0 0 0.0
Criteria #11:Complex ClinicalPractice Guidelines
0 0 0 0 0 2 0 0.3
Criteria #12:Tracking Specific Outcomes
0 0 0 0 0 0 0 0.0
Second tier evaluation scores
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Asset Allocation and TimingRecommended asset allocation as the market and organization evolve and mature in population health management
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Asset Allocation and TimingRecommendations
Build a population health management roadmap
Start as soon as possible with the first six criteria while the latter six
develop in the market
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Conclusion
Follow the lead of the IDNs which have been practicing PHM for years
Reference this presentation and the CCHIT framework when developing an organizational strategy and evaluating vendors for PHM
There is no single vendor that can provide a complete PHM solution today
Sequencing is important. Focus on the first six criteria over the next three years while the context evolves
Key points to remember
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Population Health Management The Ordered Checklist for Your 3-5 Year Journey
1. Registries: Evidence-based definitions of patients to include in the PHM registries
2. Attribution & Assignment: Clinician-patient attribution algorithms
3. Precise Numerators: Discrete, evidence based methods for flagging patients in the registries that are difficult to manage in the protocol, or should be excluded from the registry, altogether
4. Clinical & Cost Metrics: Monitoring clinical effectiveness and total cost of care (to the system and the patient)
5. Basic Protocols: Evidence based triage and clinical protocols for single disease states
6. Risk Outreach: Stratified work queues that feed care management teams and processes for outreach to patients
7. External Data: Access to test results and medication compliance data outside the core healthcare delivery organization
8. Communication: Patient engagement and communication system about their care, including coordination of benefits
9. Education: Patient education material and a distribution system, tailored to their status and protocol
10. Complex Protocols: Evidence based triage and clinical protocols for comorbid patients
11. Coordination: Inter-physician/clinician communication system about overlapping patients
12. Outcomes: Patient reported outcomes measurement system, tailored to their status and protocol
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More about this topic
The Evolution of Care Management to Population Health Management This covers the evolution of the care management market to the population health management, the data needs for effective population health management, and population health business models
Why the Solution to Population Health Management Woes Isn’t an EMRHealthcare systems are struggling to figure out how to shift to a value-based model and remain competitive. This will require hospitals to identify and reduce waste in three categories: the variation in 1) the care that is ordered, 2) how efficiently that care is delivered, 3) in care delivery that causes preventable complications .Clearly, EHRs aren’t the answer.
The Best Way to Prioritize Your Population Health Management EffortsEffective population health management starts with clearly defining a subset or cohort of patients and determining on which clinical processes to focus improvement efforts. The Health Catalyst Key Process Analysis (KPA) application determines the highest variation and highest resource consumption by integrating and analyzing clinical and financial data.
Case Study: Using Data and Reporting in Population Health EffortsHow a healthcare system went from manually pulling together reports with varying data to having near real-time data that one executive says, "enables our care coordinators to drive preventive care and ultimately lower our population health costs"
Case Study: Using Advanced Analytics to Manage Primary Care Population Health Population health management is largely being driven by the 5 percent of the population accounts for 50 percent of healthcare costs. Being able to identify these patients, provide high-quality care and reduce their utilization is a pressing goal for many of today’s primary care providers (PCPs). Learn how one organization used health care analytics to meet this challenge.
Implementing a Successful Population Health Management Strategy A White Paper by Dr. David Burton
Based on 25 years of experience, first as a senior executive at Intermountain Healthcare and later as the Chairman of the Board of Health Catalyst, Dr. Burton shares his in-depth learnings about how to systematically implement population health management in a long-term, sustainable way.
Link to original article for a more in-depth discussion.
A 12-Point Review of Population Health Management Companies (Webinar)