1.
Three Reasons Augmented Intelligence Is
the Future of AI in Healthcare
Jason Jones, PhD
Chief Analytics and
Data Science Officer

2.
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Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
Three Reasons Augmented Intelligence Is
the Future of AI in Healthcare
Under more pressure than ever before
to deliver better care with fewer
resources, healthcare organizations
need augmented intelligence (AI) to
achieve the Quadruple Aim.
According to our chief analytics and
data science officer, Jason Jones,
PhD, AI in healthcare falls short
because organizations fail to realize
three key opportunities AI offers.
Better
Outcomes
Improved
Clinician
Experience
Lower
Costs Improved
Patient
Experience
QUADRUPLE
AIM
ACHIEVED

3.
© 2021 Health Catalyst
Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
Three Reasons Augmented Intelligence Is
the Future of AI in Healthcare
Opportunity #1: Augmented—Not Artificial—Intelligence
Augmented intelligence doesn’t
replace humans but enhances human
decision making.
AI can quickly scour millions of data
sets, then deliver the most relevant
insight to decision makers when they
need it.

4.
© 2021 Health Catalyst
Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
Three Reasons Augmented Intelligence Is
the Future of AI in Healthcare
Opportunity #1: Augmented—Not Artificial—Intelligence
With access to more information than
users would ever have the time to
review manually, team members can
make the most informed decision
every time.
In other words, AI helps every member
of the organization make better
decisions, but it won’t replace them.

5.
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Three Reasons Augmented Intelligence Is
the Future of AI in Healthcare
Opportunity #2: Think “Change Management”
Predictive models are probably the
most common type of AI in healthcare,
yet many providers forget to prioritize a
critical driver in predictive model
successful: change management.
Change management is the
perspective that ensures the model
supports the users’ needs and solves
the problem it was intended to solve.

6.
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Three Reasons Augmented Intelligence Is
the Future of AI in Healthcare
Opportunity #2: Think “Change Management”
Too often, end users start using
predictive models for purposes other
than for what they were intended or
continue using models that don’t solve
the intentional problem.
With effective change management,
team members constantly evaluate the
model’s effectiveness, ensuring the
model delivers according to its design
and effectively supports team member
needs.

7.
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Three Reasons Augmented Intelligence Is
the Future of AI in Healthcare
Opportunity #3: Address and Overcome Healthcare Disparities
Healthcare disparities have a
significant impact on a person’s health,
and AI can help clinicians overcome
those disparities.
Healthcare providers can use AI to
identify health disparities that put a
patient at risk for a worse outcome,
then use their expertise to decide
which patients to focus on and how to
best address their health needs.

8.
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Augmented Intelligence Is the
New AI in Healthcare
Although healthcare can feel fractured at times due
to so many data sources, organizations can find
ways to use AI in healthcare to overcome those
fractures and treat people in the best way possible.

9.
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Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
Augmented Intelligence Is the
New AI in Healthcare
Watch or listen to the full video podcast here.

10.
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Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
For more information:
“This book is a fantastic piece of work”
– Robert Lindeman MD, FAAP, Chief Physician Quality Officer

11.
© 2021 Health Catalyst
Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
More about this topic
Link to original article for a more in-depth discussion.
Three Reasons Augmented Intelligence Is the Future of AI in Healthcare
Delivering the Right Insight to the Right Person: How Workflow Automation Optimizes EHR Decision Support
Chris Tyne, Chief Operating Officer, Healthfinch
Your AI Journey Starts Here: A Four-Step Framework for Predictive Analytic Success
Health Catalyst Editors
Expanding AI in Healthcare: Introducing the New Healthcare.AI™ by Health Catalyst
Tarah Neujahr Bryan, Chief Marketing Officer
Predicting Denials to Improve the Healthcare Revenue Cycle and Maximize Operating Margins
Marlowe Dazley, Senior VP and Managing Director of Financial Advisory Services
Safeguarding the Ethics of AI in Healthcare: Three Best Practices
Health Catalyst Editors

12.
© 2021 Health Catalyst
Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
Jason Jones is passionate about achieving the Quadruple Aim through better and
easier use of data in healthcare, including helping organizations to find analytic focus;
helping providers feel that the systems they work for have their backs; and helping
people to understand and have their goals and preferences respected for the hopefully
brief periods during which they are “patients.” Previously, Jones served as Vice
President, Information Support for Care Transformation, at Kaiser Permanente (KP). In
that capacity, he brought together and co-led the national Hospital and Healthplan Quality and Finance
analytic functions and led development of national quality strategy and care delivery IT investments.
Prior to that, he was KP’s Executive Director of Clinical Intelligence and Decision Support and a
Research Scientist in KP’s Southern California region. Before joining KP, Jones was a Senior Medical
Informaticist for Intermountain Healthcare. He also held analytic and marketing positions at Bayer
Healthcare in Wayne, N.J., and Ingenix (now Optum) Pharmaceutical Information Products in Salt Lake
City, where he developed a model for converting United Healthcare data into a saleable asset for
external customers conducting outcomes research. Throughout his career, Jones has taught graduate
courses in statistics to medical informaticists at the University of Southern California and at the
University of Utah. He has published dozens of peer-reviewed papers in medicine, predictive modeling,
and outcomes improvement.
Other Clinical Quality Improvement Resources
Click to read additional information at www.healthcatalyst.com
Jason Jones, PhD

13.
© 2021 Health Catalyst
Proprietary. Feel free to share but we would appreciate a Health Catalyst citation.
Other Clinical Quality Improvement Resources
Click to read additional information at www.healthcatalyst.com
Health Catalyst is a mission-driven data warehousing, analytics and outcomes-improvement
company that helps healthcare organizations of all sizes improve clinical, financial, and operational
outcomes needed to improve population health and accountable care. Our proven enterprise data
warehouse (EDW) and analytics platform helps improve quality, add efficiency and lower costs in
support of more than 65 million patients for organizations ranging from the largest US health system
to forward-thinking physician practices.
Health Catalyst was recently named as the leader in the enterprise healthcare BI market in
improvement by KLAS and has received numerous best-place-to work awards including Modern
Healthcare in 2013, 2014, and 2015, as well as other recognitions such as “Best Place to work for
Millenials, and a “Best Perks for Women.”