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Introducing the New Care Management
Suite: A Comprehensive, Data-Driven
Approach
Amy Flaster, MD, MBA
Senior Vice President, Population Health
Management and Care Management, Health
Catalyst
Darian Allen
Senior Vice President, Product Development,
Health Catalyst
Introduction
• Welcome and Introductions
• Care Management Landscape
• Overview of Care Management
Suite
• Demonstration
• Questions and Answers
Agenda
Trends and Updates in
Care Management
© 2020
Health
Catalyst
Care Management Can Move the Dial in Medicaid
Populations By Integrating Varied Data Sources
“…Patterns of utilization in the 2 study groups
underscore the importance of precise patient targeting.
To be most effective, complex care management
programs should target patients at risk of persistently
high spending and those whose spending and health
outcomes are amenable to complex care planning and
engagement. Many complex care management
programs use claims data and historical utilization
patterns to identify eligible patients. Recent research
has highlighted the limitations of this approach—
historically high-cost patients often return to normal
patterns of spending, or they have drivers of high
spending not amenable to complex care management.”
5 Powers MD, Brian W., et al. Impact of Complex Care Management on Spending and Utilization for
High-Need, High-Cost Medicaid Patients. Available at https://doi.org/10.37765/ajmc.2020.42402
© 2020
Health
Catalyst
Increased Awareness of Potential Bias in Risk
Stratification Models
6 Obermeyer, Ziad, et al. Algorithmic Bias in Health Care: A Path Forward. Available
at https://www.healthaffairs.org/do/10.1377/hblog20191031.373615/full/
© 2020
Health
Catalyst
Evaluation Methods Are Crucial
7
Noonan, Kathleen. Disappointing Randomized Controlled Trial Results Show A Way Forward On
Complex Care In Camden And Beyond. Available
at https://www.healthaffairs.org/do/10.1377/hblog20200102.864819/full/
© 2020
Health
Catalyst
COVID-19 Has Significantly Altered Care
Management
8
COVID-19 rapidly altered patient access to
care (in-person vs. telemedicine)
Care managers quickly adjusted and
increased virtual care for:
• Patient screenings
• Risk identification
• Planning and goal development
• Impacted community resources
• Care transitions
• Evaluations
COVID-19 is an example of a time sensitive
event needing a flexible workflow solution to
manage evolving patient care needs
© 2020
Health
Catalyst
COVID-19 and New Needs for Care Management
A health system tested 11,544 people for severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2, the COVID-19 virus)
between March 1, 2020 and April 8, 2020. Of the 5,279 confirmed
positive, the strongest risk for hospital admission was associated
with:
• Age (OR of >2 for all age groups older than 44 years; OR 37.9
(95% confidence interval 26.1 to 56.0) for ages 75 years and
older)
• Heart failure (OR = 4.4, 2.6 to 8.0)
• Male sex (OR = 2.8, 2.4 to 3.2)
• Chronic kidney disease (OR = 2.6, 1.9 to 3.6)
• Any increase in body mass index (BMI) (e.g., for BMI >40: OR =
2.5, 1.8 to 3.4).
The strongest risks for critical illness besides age were associated
with heart failure (1.9, 1.4 to 2.5), BMI >40 (1.5, 1.0 to 2.2), and
male sex (1.5, 1.3 to 1.8).
9
Petrilli, Christopher M., et al. Factors associated with hospital admission and critical illness among 5279 people
with coronavirus disease 2019 in New York City: prospective cohort study. Available
at https://www.bmj.com/content/369/bmj.m1966
© 2020
Health
Catalyst
COVID-19 and New Needs for Care Management
Data on long-term recovery of patients with
a different coronavirus, from the SARS
epidemic in 2003:
At 6 months
• 30% had persistent chest radiograph
abnormalities
• 16% had significant lung function
impairment
• More than expected functional disability
At 15 years
Most lung recovery happened within 2 years
but remained mildly impacted thereafter
10
Hui, D., et al. Impact of severe acute respiratory syndrome (SARS) on pulmonary function, functional capacity
and quality of life in a cohort of survivors. Available at https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1758905/
© 2020
Health
Catalyst
To what extent has COVID-19 affected your system’s approach to Care
Management?
• We have doubled down on Care Management – 9%
• No change; we are continuing with the status quo – 16%
• We are continuing our prior programs but are working in new ways (virtual,
telemedicine, etc.) – 68%
• We have scaled back / halted Care Management at our organization – 7%
Poll Question
11
Care Management
Suite Overview
© 2020
Health
Catalyst
Our Care Management Framework
13
Assessment
Survey existing infrastructure,
capabilities, and opportunities to
ensure strategic alignment and
set a stage for success
Rapidly and transparently identify
patients for care management
Identification
Population Builder™: Stratification Module
Use an end-to-end, integrated workflow solution
to qualify, enroll, and actively manage patients
Workflow
Population Care Flow
Leverage an analytics dashboard to measure and
maximize ROI for care management programs
Analytics
Population Care Insights
A data and analytics-driven, end-to-end approach—with transparent and flexible
algorithm logic and patient-centric views optimized for care management workflows
Population Design
Tap into machine learning and
care management expertise to
stratify patient lists efficiently,
transparently, and optimally
Expert services to help
deliver real ROI
Program Design
Ensure that all program
elements—tools, staff,
processes, and practices—are
harmonized to meet your goals
Evaluation
Use a systematic approach to
define and measure results and
ROI, and power better decisions
going forward
Confidential and Proprietary - June 2020 version
Optimization
Partner with our experts to tune
the technology tools to your
care management workflow and
assessment needs
© 2020
Health
Catalyst
14
Patient
Care
Management
Suite
Transparent and
flexible
algorithms
Consolidated and
longitudinal
patient-centric
view
Data and analytics
drive the
workflow and
assessments
Analytics-driven ROI
metrics
ROI optimized
stratification
© 2020
Health
Catalyst
15
Patient
Care
Management
Suite
Transparent and
flexible
algorithms
Consolidated and
longitudinal
patient-centric
view
Data and analytics
drive the
workflow and
assessments
Analytics-driven ROI
metrics
ROI optimized
stratification
16
© 2020
Health
Catalyst
Care Management Suite Overview
17
Transparent and
flexible
algorithms
© 2020
Health
Catalyst
18
Patient
Care
Management
Suite
Transparent and
flexible
algorithms
Consolidated and
longitudinal
patient-centric
view
Data and analytics
drive the
workflow and
assessments
Analytics-driven ROI
metrics
ROI optimized
stratification
19
© 2020
Health
Catalyst
Care Management Suite Overview
20
Consolidated and
longitudinal
patient-centric
view
Powers, MD, Brian W., et al. Impact of Complex Care Management on Spending and Utilization for High-Need,
High-Cost Medicaid Patients. Available at https://www.ajmc.com/journals/issue/2020/2020-vol26-n2/impact-of-
complex-care-management-on-spending-and-utilization-for-highneed-highcost-medicaid-patients
© 2020
Health
Catalyst
21
Patient
Care
Management
Suite
Transparent and
flexible
algorithms
Consolidated and
longitudinal
patient-centric
view
Data and analytics
drive the
workflow and
assessments
Analytics-driven ROI
metrics
ROI optimized
stratification
© 2020
Health
Catalyst
Care Management Suite Overview
24
Data and analytics
drive the
workflow and
assessments
Petrilli, Christopher M., et al. Factors associated with hospital admission and critical illness among 5279 people
with coronavirus disease 2019 in New York City: prospective cohort study. Available
at https://www.bmj.com/content/369/bmj.m1966
© 2020
Health
Catalyst
25
Patient
Care
Management
Suite
Transparent and
flexible
algorithms
Consolidated and
longitudinal
patient-centric
view
Data and analytics
drive the
workflow and
assessments
Analytics-driven ROI
metrics
ROI optimized
stratification
26
© 2020
Health
Catalyst
Care Management Suite Overview
27
Analytics-driven ROI
metrics
© 2020
Health
Catalyst
28
Patient
Care
Management
Suite
Transparent and
flexible
algorithms
Consolidated and
longitudinal
patient-centric
view
Data and analytics
drive the
workflow and
assessments
Analytics-driven ROI
metrics
ROI optimized
stratification
© 2020
Health
Catalyst
Care Management Suite Overview
30
ROI optimized
stratification
© 2020
Health
Catalyst
What do you see as the greatest challenges in Care Management?
• Data availability – 26%
• Realizing ROI (Return on Investment) – 16%
• Identifying and prioritizing the right patients – 20%
• Patient/Provider engagement – 32%
• Other – 6%
Poll Question
31
© 2020
Health
Catalyst
32
Patient
Care
Management
Suite
Transparent and
flexible
algorithms
Consolidated and
longitudinal
patient-centric
view
Data and analytics
drive the
workflow and
assessments
Analytics-driven ROI
metrics
ROI optimized
stratification
© 2020
Health
Catalyst
Our Care Management Framework
33
Assessment
Survey existing infrastructure,
capabilities, and opportunities to
ensure strategic alignment and
set a stage for success
Rapidly and transparently identify
patients for care management
Identification
Population Builder™: Stratification Module
Use an end-to-end, integrated workflow solution
to qualify, enroll, and actively manage patients
Workflow
Population Care Flow
Leverage an analytics dashboard to measure and
maximize ROI for care management programs
Analytics
Population Care Insights
A data and analytics-driven, end-to-end approach—with transparent and flexible
algorithm logic and patient-centric views optimized for care management workflows
Population Design
Tap into machine learning and
care management expertise to
stratify patient lists efficiently,
transparently, and optimally
Expert services to help
deliver real ROI
Program Design
Ensure that all program
elements—tools, staff,
processes, and practices—are
harmonized to meet your goals
Evaluation
Use a systematic approach to
define and measure results and
ROI, and power better decisions
going forward
Confidential and Proprietary - June 2020 version
Optimization
Partner with our experts to tune
the technology tools to your
care management workflow and
assessment needs
The Healthcare Analytics Summit 2020 - Virtual
Visit hasummit.com
to register and
learn more
• Industry-Leading Keynote Speakers
o Eric Topol, MD
o Vice Admiral Raquel C. Bono, MD
o Yonatan Adiri
o Ari Robicsek, MD
• 22 Educational Breakout Sessions
• Analytics Walkabout, Networking, and More
• CME Accreditation for Clinicians
Sept. 1 – 3, 2020 (half-day sessions)
Q&A
Amy Flaster, MD, MBA
Senior Vice President, Population Health
Management and Care Management, Health
Catalyst
Darian Allen
Senior Vice President, Product Development,
Health Catalyst

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New Care Management Suite

  • 1. Introducing the New Care Management Suite: A Comprehensive, Data-Driven Approach Amy Flaster, MD, MBA Senior Vice President, Population Health Management and Care Management, Health Catalyst Darian Allen Senior Vice President, Product Development, Health Catalyst
  • 3. • Welcome and Introductions • Care Management Landscape • Overview of Care Management Suite • Demonstration • Questions and Answers Agenda
  • 4. Trends and Updates in Care Management
  • 5. © 2020 Health Catalyst Care Management Can Move the Dial in Medicaid Populations By Integrating Varied Data Sources “…Patterns of utilization in the 2 study groups underscore the importance of precise patient targeting. To be most effective, complex care management programs should target patients at risk of persistently high spending and those whose spending and health outcomes are amenable to complex care planning and engagement. Many complex care management programs use claims data and historical utilization patterns to identify eligible patients. Recent research has highlighted the limitations of this approach— historically high-cost patients often return to normal patterns of spending, or they have drivers of high spending not amenable to complex care management.” 5 Powers MD, Brian W., et al. Impact of Complex Care Management on Spending and Utilization for High-Need, High-Cost Medicaid Patients. Available at https://doi.org/10.37765/ajmc.2020.42402
  • 6. © 2020 Health Catalyst Increased Awareness of Potential Bias in Risk Stratification Models 6 Obermeyer, Ziad, et al. Algorithmic Bias in Health Care: A Path Forward. Available at https://www.healthaffairs.org/do/10.1377/hblog20191031.373615/full/
  • 7. © 2020 Health Catalyst Evaluation Methods Are Crucial 7 Noonan, Kathleen. Disappointing Randomized Controlled Trial Results Show A Way Forward On Complex Care In Camden And Beyond. Available at https://www.healthaffairs.org/do/10.1377/hblog20200102.864819/full/
  • 8. © 2020 Health Catalyst COVID-19 Has Significantly Altered Care Management 8 COVID-19 rapidly altered patient access to care (in-person vs. telemedicine) Care managers quickly adjusted and increased virtual care for: • Patient screenings • Risk identification • Planning and goal development • Impacted community resources • Care transitions • Evaluations COVID-19 is an example of a time sensitive event needing a flexible workflow solution to manage evolving patient care needs
  • 9. © 2020 Health Catalyst COVID-19 and New Needs for Care Management A health system tested 11,544 people for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, the COVID-19 virus) between March 1, 2020 and April 8, 2020. Of the 5,279 confirmed positive, the strongest risk for hospital admission was associated with: • Age (OR of >2 for all age groups older than 44 years; OR 37.9 (95% confidence interval 26.1 to 56.0) for ages 75 years and older) • Heart failure (OR = 4.4, 2.6 to 8.0) • Male sex (OR = 2.8, 2.4 to 3.2) • Chronic kidney disease (OR = 2.6, 1.9 to 3.6) • Any increase in body mass index (BMI) (e.g., for BMI >40: OR = 2.5, 1.8 to 3.4). The strongest risks for critical illness besides age were associated with heart failure (1.9, 1.4 to 2.5), BMI >40 (1.5, 1.0 to 2.2), and male sex (1.5, 1.3 to 1.8). 9 Petrilli, Christopher M., et al. Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study. Available at https://www.bmj.com/content/369/bmj.m1966
  • 10. © 2020 Health Catalyst COVID-19 and New Needs for Care Management Data on long-term recovery of patients with a different coronavirus, from the SARS epidemic in 2003: At 6 months • 30% had persistent chest radiograph abnormalities • 16% had significant lung function impairment • More than expected functional disability At 15 years Most lung recovery happened within 2 years but remained mildly impacted thereafter 10 Hui, D., et al. Impact of severe acute respiratory syndrome (SARS) on pulmonary function, functional capacity and quality of life in a cohort of survivors. Available at https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1758905/
  • 11. © 2020 Health Catalyst To what extent has COVID-19 affected your system’s approach to Care Management? • We have doubled down on Care Management – 9% • No change; we are continuing with the status quo – 16% • We are continuing our prior programs but are working in new ways (virtual, telemedicine, etc.) – 68% • We have scaled back / halted Care Management at our organization – 7% Poll Question 11
  • 13. © 2020 Health Catalyst Our Care Management Framework 13 Assessment Survey existing infrastructure, capabilities, and opportunities to ensure strategic alignment and set a stage for success Rapidly and transparently identify patients for care management Identification Population Builder™: Stratification Module Use an end-to-end, integrated workflow solution to qualify, enroll, and actively manage patients Workflow Population Care Flow Leverage an analytics dashboard to measure and maximize ROI for care management programs Analytics Population Care Insights A data and analytics-driven, end-to-end approach—with transparent and flexible algorithm logic and patient-centric views optimized for care management workflows Population Design Tap into machine learning and care management expertise to stratify patient lists efficiently, transparently, and optimally Expert services to help deliver real ROI Program Design Ensure that all program elements—tools, staff, processes, and practices—are harmonized to meet your goals Evaluation Use a systematic approach to define and measure results and ROI, and power better decisions going forward Confidential and Proprietary - June 2020 version Optimization Partner with our experts to tune the technology tools to your care management workflow and assessment needs
  • 14. © 2020 Health Catalyst 14 Patient Care Management Suite Transparent and flexible algorithms Consolidated and longitudinal patient-centric view Data and analytics drive the workflow and assessments Analytics-driven ROI metrics ROI optimized stratification
  • 15. © 2020 Health Catalyst 15 Patient Care Management Suite Transparent and flexible algorithms Consolidated and longitudinal patient-centric view Data and analytics drive the workflow and assessments Analytics-driven ROI metrics ROI optimized stratification
  • 16. 16
  • 17. © 2020 Health Catalyst Care Management Suite Overview 17 Transparent and flexible algorithms
  • 18. © 2020 Health Catalyst 18 Patient Care Management Suite Transparent and flexible algorithms Consolidated and longitudinal patient-centric view Data and analytics drive the workflow and assessments Analytics-driven ROI metrics ROI optimized stratification
  • 19. 19
  • 20. © 2020 Health Catalyst Care Management Suite Overview 20 Consolidated and longitudinal patient-centric view Powers, MD, Brian W., et al. Impact of Complex Care Management on Spending and Utilization for High-Need, High-Cost Medicaid Patients. Available at https://www.ajmc.com/journals/issue/2020/2020-vol26-n2/impact-of- complex-care-management-on-spending-and-utilization-for-highneed-highcost-medicaid-patients
  • 21. © 2020 Health Catalyst 21 Patient Care Management Suite Transparent and flexible algorithms Consolidated and longitudinal patient-centric view Data and analytics drive the workflow and assessments Analytics-driven ROI metrics ROI optimized stratification
  • 22.
  • 23.
  • 24. © 2020 Health Catalyst Care Management Suite Overview 24 Data and analytics drive the workflow and assessments Petrilli, Christopher M., et al. Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study. Available at https://www.bmj.com/content/369/bmj.m1966
  • 25. © 2020 Health Catalyst 25 Patient Care Management Suite Transparent and flexible algorithms Consolidated and longitudinal patient-centric view Data and analytics drive the workflow and assessments Analytics-driven ROI metrics ROI optimized stratification
  • 26. 26
  • 27. © 2020 Health Catalyst Care Management Suite Overview 27 Analytics-driven ROI metrics
  • 28. © 2020 Health Catalyst 28 Patient Care Management Suite Transparent and flexible algorithms Consolidated and longitudinal patient-centric view Data and analytics drive the workflow and assessments Analytics-driven ROI metrics ROI optimized stratification
  • 29.
  • 30. © 2020 Health Catalyst Care Management Suite Overview 30 ROI optimized stratification
  • 31. © 2020 Health Catalyst What do you see as the greatest challenges in Care Management? • Data availability – 26% • Realizing ROI (Return on Investment) – 16% • Identifying and prioritizing the right patients – 20% • Patient/Provider engagement – 32% • Other – 6% Poll Question 31
  • 32. © 2020 Health Catalyst 32 Patient Care Management Suite Transparent and flexible algorithms Consolidated and longitudinal patient-centric view Data and analytics drive the workflow and assessments Analytics-driven ROI metrics ROI optimized stratification
  • 33. © 2020 Health Catalyst Our Care Management Framework 33 Assessment Survey existing infrastructure, capabilities, and opportunities to ensure strategic alignment and set a stage for success Rapidly and transparently identify patients for care management Identification Population Builder™: Stratification Module Use an end-to-end, integrated workflow solution to qualify, enroll, and actively manage patients Workflow Population Care Flow Leverage an analytics dashboard to measure and maximize ROI for care management programs Analytics Population Care Insights A data and analytics-driven, end-to-end approach—with transparent and flexible algorithm logic and patient-centric views optimized for care management workflows Population Design Tap into machine learning and care management expertise to stratify patient lists efficiently, transparently, and optimally Expert services to help deliver real ROI Program Design Ensure that all program elements—tools, staff, processes, and practices—are harmonized to meet your goals Evaluation Use a systematic approach to define and measure results and ROI, and power better decisions going forward Confidential and Proprietary - June 2020 version Optimization Partner with our experts to tune the technology tools to your care management workflow and assessment needs
  • 34. The Healthcare Analytics Summit 2020 - Virtual Visit hasummit.com to register and learn more • Industry-Leading Keynote Speakers o Eric Topol, MD o Vice Admiral Raquel C. Bono, MD o Yonatan Adiri o Ari Robicsek, MD • 22 Educational Breakout Sessions • Analytics Walkabout, Networking, and More • CME Accreditation for Clinicians Sept. 1 – 3, 2020 (half-day sessions)
  • 35. Q&A Amy Flaster, MD, MBA Senior Vice President, Population Health Management and Care Management, Health Catalyst Darian Allen Senior Vice President, Product Development, Health Catalyst