As healthcare organizations across the country face labor shortages, limited resources, and growing expenses, it’s never been more important to deploy valuable resources where they’ll be most impactful. Learn how predictive risk stratification helps organizations pinpoint their most vulnerable patients.

1. © Health Catalyst. Confidential and Proprietary.
Easing Labor Shortages
and Staff Burnout with
Data and Analytics

2. © Health Catalyst. Confidential and Proprietary.
Melissa Welch, MD
Chief Medical Officer

3. Article
Summary
As healthcare organizations across the country face labor
shortages, limited resources, and growing expenses, it’s
never been more important to deploy valuable resources
where they’ll be most impactful. Learn how predictive
risk stratification helps organizations pinpoint their most
vulnerable patients.

4. © Health Catalyst. Confidential and Proprietary.
Easing Labor Shortages and Staff Burnout with Data and Analytics
Labor shortages and staff burnout continue to be
significant challenges for healthcare organizations
and a costly burden for the healthcare system.
According to a 2001 U.S. News & World Report,
around 20% of healthcare workers have quit their
jobs, and those staff shortages have had a negative
impact on safety and quality. In addition, a 2019
study published in the Annals of Internal Medicine
estimated that physician burnout costs the U.S.
healthcare industry an estimated $4.6 billion a
year, and that number is likely larger today.
Staff Shortages

5. © Health Catalyst. Confidential and Proprietary.
Gain Workflow Efficiencies
with Data-Based
Predictive Risk Stratification

6. © Health Catalyst. Confidential and Proprietary.
Gain Workflow Efficiencies with Data-Based
Predictive Risk Stratification
To manage patient populations more
effectively and efficiently, healthcare
organizations must be able to automate
predictive risk stratification based on
claims data, clinical data, social
determinants of health, and more.
When care teams know which patients
need the most help, which patients
have rising risk, and which patients are
healthy, they can focus their valuable
time where it’s needed most.
Dashboards

7. © Health Catalyst. Confidential and Proprietary.
Gain Workflow Efficiencies with Data-Based
Predictive Risk Stratification
As health systems work to manage
high-risk populations appropriately,
while also caring for those with rising
risk and engaging with healthy
populations with the right targeted
interventions, stratification is essential.
By leveraging predictive risk
stratification, organizations can uncover
opportunities, reduce the burden on
care teams, and improve care quality.
With this type of population
stratification, care teams can easily zero
in on the most vulnerable populations.
Dashboards
Aggregate information with an analytic tool to identify populations
and deliver appropriate interventions
Caption: Aggregate information with an analytic tool to identify
populations and deliver appropriate interventions

8. © Health Catalyst. Confidential and Proprietary.
The Importance of High-Value
Data and Process Improvement

9. © Health Catalyst. Confidential and Proprietary.
The Importance of High-Value Data and Process Improvement
To perform process improvement successfully,
trustworthy data is essential. It must be fully
integrated, transparent, accurate, and understood by
those who are using it. Without a robust, accurate risk
model, organizations may make erroneous decisions or
focus valuable efforts where they are not impactful.
There are many complexities to developing an
accurate risk model. For instance, if the model doesn’t
factor in clinical, social, and behavioral risk factors, it
may not actually capture your patient population
accurately. As care teams manage heavy workloads
with limited resources, leveraging data and analytics
to identify the most high-value opportunities is crucial.
Trustworthy Data

10. © Health Catalyst. Confidential and Proprietary.
The Importance of High-Value Data and Process Improvement
Once an organization has embarked on a
predictive risk stratification journey, it’s essential
to measure the effectiveness of its interventions
and ensure they are achieving the goals of the
organization. If you’re looking to make a difference
in terms of clinical outcomes and you don’t have a
process improvement methodology in place,
you’re going to be playing “whack a mole,” missing
every time because you’re guessing at the problem
you’re trying to solve.
Trustworthy Data
Interested in learning more, watch an on-demand webinar

11. © Health Catalyst. Confidential and Proprietary.
Using Technology to
Empower Change

12. © Health Catalyst. Confidential and Proprietary.
Using Technology to Empower Change
Data and analytics combined with continuous
process improvement empower organizations
to ensure valuable resources are deployed
where they will deliver the most value –
both economically and clinically.

13. © Health Catalyst. Confidential and Proprietary.
1
The Right Way to Build Predictive Models
for the Most Vulnerable Patient Populations
3 Deliver Better Population Health by Avoiding Three Mistakes
2
How Risk-Bearing Entities Work Together to
Succeed at Population Health
4
Own Your Value-Based Care Future with the
Health Catalyst Value Optimizer™ Solution
Here Are Some Articles We Suggest
Additional Reading