A Health Catalyst Overview: Building a Data Warehousing and Analytics Strategy

© 2014 Health Catalyst
www.healthcatalyst.com
Proprietary and Confidential#TimeForAnalytics
www.healthcatalyst.comProprietary and Confidential
This presentation contains forward-looking statements concerning Health Catalyst, including, among other things, the timing, availability, features, and
functionality of Health Catalyst’s current and roadmap products. This presentation and its contents are intended for information purposes only, and may
not be incorporated into any contract. It is not a commitment to deliver any products or functionality, and should not be relied upon in purchasing
decisions. The timing, development, and release of any products or functionality described herein remains at the sole discretion of Health Catalyst.
June 11, 2014
Introducing Health Catalyst

Our Story…
2
Patients Hospitals
30M 135
Clinics
1700

What does Health Catalyst offer?
3
Late-Binding™
Data Warehouse Platform
Data Warehouse, Architecture, Metadata Management,
Security, and Auditing
Analytic Applications
Key Process Analysis,
Dashboards, Advanced Analytics
Services
Installation Services,
Clinical Improvement Services
Integrates and
organizes data
Accelerate insight
Install technology
and ignite change

Month 3 Month 6
Contract Kickoff
Implementation Planning
High Level Timeline
Platform
Installation and Training
Achievement
Level 1
Applications
Installation and Training
Month 0
Testing and Validation

Proprietary and Confidential#TimeForAnalytics 5
• 2% reduction in total salaries
and benefits
• 500% increase in using data
to drive staffing decisions
• 66% increase in speed of
data availability
Labor CostsEarly-Term Deliveries
• 75% reduction in elective
early-term deliveries
• Earned $200,000 payer
bonus payment
In 12 months:
• 22% reduction in sepsis
mortality
• $1.3M cost savings
Sepsis Heart Failure Readmits
• 21% lower 30-day readmits
• 14% lower 90-day readmits
• 63% increase in med rec within
48 hours of discharge
• 2X phone call follow up

Success Stories (continued)
6
• 67% reporting cost reduction
(from 97 to 30 hours)
• 25% faster reporting
turnaround
Data and Reporting DemandsStreamline Operations
• Gained $1M est. billable
charges by minimizing
procedure referral leakage
• Automated reporting with an
est. $400K savings
• Decreased LOS by 11 hours
• Decreased X-ray by 49%
• 67% increase in order set use
• 90% use of asthma action plan
Improve Asthma Outcomes Improved Appendectomy Outcomes
• 36% reduced LOS
• 19% reduced direct costs
• 36% increased order set use
• 53% increased recommended
antibiotic usage

Roadblocks to Success
My analysts spend way too much
time collecting data and not
enough time interpreting data.
7
We have all kinds of
dashboards but they
are not helping me
improve care. We are
not looking at relevant
data.
We seem to be able to
improve care, but it isn’t
sustainable. As soon as
we move to our next
project, the last
improvement suffers.

Poll Question
Which common roadblock resonates the most with
you? 98 Respondents
• Analysts spend too much time gathering data –
46%
• Reports and dashboards not showing relevant
data – 30%
• Difficulty achieving sustained improvements –
23%
8

Three Critical Elements of Success
9
My analysts spend way too much
time collecting data and not
enough time interpreting data.
We have all kinds of
dashboards but they
are not helping me
improve care. We are
not looking at relevant
data.
We seem to be able to
improve care, but it isn’t
sustainable. As soon as
we move to our next
project, the last
improvement suffers.
It’s more than just analytics

Agenda
• Platform Discussion
• Demo: Key Process Analysis
• Demo: Heart Failure Readmissions
• Additional Applications Overview
• Conclusion
10

Subject Area Data Marts
Linking & Standardization
Common Linkable Identifiers, Patients, Labs, Encounters, Diagnoses, Medications, etc.
Content
Population Definitions (800+), Hierarchies, Comorbidities, Risk Stratification, Attribution
Source Marts
EMR
EMR Financial Patient Sat. HR Administrative Claims
Late-BindingTM Data Warehouse Platform
Fast-tracking Analytics and Content
Financial
Patient
Sat.
HR Administrative Claims
e.g. Epic, Cerner
NextGen
e.g. EPSi,
Peoplesoft,
Lawson
e.g. Press Ganey,
NRC Picker
e.g. Lawson,
Peoplesoft,
Ultipro
e.g. API Time
Tracking
e.g. Medicare
Private Payers
11
Subject Area Mart Designer
Create and manage content
Source Mart Designer
Accelerate analytics with
single source of truth
Applications
Present actionable data to
deployment teams
Atlas
Provide insight into
analytics system source
metadata
Atlas
View content definitions and
lineage
Heart Failure
Financial Management
Explorer
Community Care
Dashboard

Where Do We Start?
Key Process Analysis

Clinical Hierarchy
Organize codes into a clinically meaningful hierarchy
Care Process Family
i.e. Heart Failure
92
Care Process
i.e. AMI
455
Codes
APRDRG, ICD PX, ICD DX, CPT
Tens of
thousands
12Clinical Program
i.e. Cardiovascular
Content

Dr. J.
15 Cases
$15,000 Avg. Cost Per Case
Mean Cost per Case = $10,000
$5,000 x 15 cases =
$75,000 opportunity
Total Opportunity = $75,000Total Opportunity = $175,000
$4,000 x 25 cases =
$100,000 opportunity
Total Opportunity = $500,000Total Opportunity = $1,200,000
Cost Per Case, Vascular Procedures
KPA: Measuring Opportunity
Using provider variation to calculate the potential financial impact of
improving and standardizing care processes
Content

Demo: Key Process
Analysis
15

Proprietary and Confidential
cKey Process Analysis
Uses data warehouse and relevant content to determine
the greatest opportunity for quality improvement/cost
reduction
Uses clinical hierarchy to stratify according to classifications
that match care delivery
Uses calculations that identify variability
Deployment teams use this to prioritize improvement
efforts
Content
Analytic
Deployment

c
Implementation workgroup is comprised of both clinical
and technical people. Implementation workgroup
defines:
• Improvement Aim Statement
• Population Definition
• Interventions to Support Aim
Data Mart and Visualization allow visualization of metrics
and stratification by risk
Deployment
Content
Analytic
Heart Failure Readmissions
Introduction

Demo: Heart Failure
Readmissions

c
Heart Failure Readmissions
Conclusion
Baseline readmission metrics presentation with drill-down
to patient-level intervention reports ranked by predictive
risk score
Multiple cohort definitions, risk stratification models, and
evidence-based metrics focused on aim of reducing
readmissions
Care improvement teams use agile improvement
methodology to incorporate content and use application
reports to identify high-risk patients for intervention
Content
Analytic
Deployment

Discovery ApplicationsFoundational Applications Advanced Applications
Population Suites
e.g., Ischemic Heart Disease
Workflow / Operational Suites
e.g., Acute Medical
Patient Injury Prevention Suites
e.g., Infection Prevention
Patient Injury Prevention Modules
e.g., CAUTI, CLABSI, SSI
Workflow/Operational Modules
e.g., ICU, MedSurg, Emergency
Population Modules
e.g., CABG, Stent, AMI
Labor Management Explorer
Rev Cycle Explorer
Patient Satisfaction Explorer
General Ledger Explorer
Readmission Explorer
Population Explorer
Patient Flow Explorer
Practice Management Explorer Suite
Financial Management Explorer
CAFE—Comparative Analytics Framework and Exchange—across Healthcare Systems and National Benchmarks
EDIT—Executive Dashboard Integration Tool (Key Performance Indicator editable collage from all app categories)
Pareto Tool (KPA)
Cohort Builder
Comorbidity Analyzer
Payment Model Analyzer
Readmission Predictor
Patient Flight Plan Predictor
ACO Explorer Suite
Metric Correlation Analyzer
Regulatory Explorer
Attribution Modeler
Available 1H 2014
Available Now
Available 2H 2014
Roadmap
Late Binding™ Data Warehouse Platform
Atlas
IDEA
Security and Auditing
Metadata Engine
Source Mart Designer
SAM Designer
Product Portfolio
Source Marts

Population Explorer
Explore metrics across the continuum of care for 800 pre-defined populations
21

Community Care
Screening and chronic disease management
22

Financial Management Explorer
Analyze costing, billing, and payment information alongside financial and volume metrics.
23

Implementation
24
1 Year 2 Years 3 Year to Ongoing3 Months
Achievement Level
Atlas
Instant Data Entry App (IDEA)
3 Source Marts
5 Foundational Apps
2 Discovery Apps (incl. KPA)
1
Achievement Level
+5 Source Marts
+Source Mart Designer
+4 Foundational Apps
+3 Discovery Apps
1 Population Module
1 Workflow/Operational Module
2
Achievement Level
+SAM Designer
+All Platform Components
+All Foundational
+4 Discovery
+5 Population Modules
+3 Workflow/Operational Modules
+2 Patient Safety Modules
3
Achievement Level
Access to Full Library
+ 10 Advanced Apps/Year
4

…Back to the Catalyst Story
Our approach to success starts with our creation
story and predates our company
Our goal is to install and configure technology as
means to an end. We want all of our customers to
have ‘success stories’!
2008 2014

Poll Question
Which do you think your organization needs the most
help with? 85 Respondents
Select all that apply:
• Analytics – 54%
• Content – 40%
• Deployment – 31%
26

Thank You
Upcoming Educational Opportunities
The Analytic System: Discovering Patterns in the Data
Date: June 25, 1-2pm, EST
Presenter: Dr. John Haughom, Senior Advisor, Health Catalyst
Register at http://healthcatalyst.com/
Healthcare Analytics Summit
Join top healthcare professionals for a high-powered analytics summit using analytics to
drive an engaging experience with renowned leaders who are on the cutting edge of
healthcare using data-driven methods to improve care and reduce costs.
Date: September 24th-25th
Location: Salt Lake City, Utah
Save the Date: http://www.healthcatalyst.com/news/healthcare-analytics-summit-2014
For Information Contact:
Eric.Just@healthcatalyst.com
Mike.Doyle@healthcatalyst.com

Obtain unbiased, practical, educational advice on
proven analytics solutions that really work in healthcare.
The future of healthcare requires transformative thinking
by committed leadership willing to forge and adopt new
data-driven processes. If you count yourself among this
group, then HAS ’14 is for you.
OBJECTIVE
MOBILE APP
Access to a mobile app
that can be used for
audience response and
participation in real time.
Group-wide and individual
analytic insights will be
shared throughout the
summit, resulting in a more
substantive, engaging
experience while
demonstrating the power
of analytics.

Appendix

A Health Catalyst Overview: Building a Data Warehousing and Analytics Strategy

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A Health Catalyst Overview: Building a Data Warehousing and Analytics Strategy