Jason Jones' Presentation on "Clinician Decision Support By Clinicians, For Clinicians" at DATA 360 Healthcare Informatics Conference - March 5th, 2015

1. Clinical Decision Support By Clinicians,
For Clinicians
{S}caffold: A toolset for making it so
Jason Jones, PhD
Kaiser Permanente

2. • What is it and what was the problem?
• Technical framework
• New era of choices
Overview

3. • Fit decision support into workflow
• Speed ideation to deployment
• Creative control for clinicians and informaticists
• Advance technical (prediction & protocol) capability
Development Goals

4. Almost 90 year old very pleasant male with history of stroke presented with presyncope at 16:39. Felt like he was going to
faint at church. Vital signs normal upon arrival. History of diarrhea 3 days ago. Initial labs normal except for WBC
13.5K. Patient felt well and wanted to leave. Advised him to stay for telemetry monitoring considering his age and prior
medical history. He was transferred to our ED observation unit at 20:14.
Developed fever and altered mental status around 23:00. Hospitalist ordered lactate, blood and urine cultures, and gave a
dose of ceftriaxone and azithromycin for presumed pneumonia. The internist, Dr Lu, informed me of what was happening. I
placed patient back on "My Patients" trackboard and saw the SIRS symbol which had not been there previously and the
time when it started. I went over to our observation unit, ordered 3L intravenous fluid, and stayed at beside to ensure that
the nurses aggressively resuscitated the patient using pressure bags for fluid boluses. Patient started to develop some
tachypnea and crackles so I ordered a repeat chest x-ray ordered which showed pulmonary congestion and bipap was ordered.
Patient's mental status improved dramatically with the fluid and bipap and by the next morning he was off bipap. Lactate went
from 4.9 to 2.9 mmol/L. He did not end up on vasopressors. His infection source ended up being urine. Length of stay
was 3 days.
The SIRS symbol was helpful because it informed me that patient met SIRS criteria, and more importantly what time
this occurred. With that knowledge, I knew I was within the time frame to initiate EGDT and aggressively resuscitate
this patient. It would have been helpful to the nurses as well if they had this since they were the ones monitoring him in the
observation unit. We had good nurses at that time, some other nurses may not have been as alert or aware.
APatient Story (Mimi Lee, MD)

5. 5
SIRS ERT
(Earliest Recognition Time)
The first time 2 or more
SIRS criteria are met within
2 hours of each other

6. SIRS ERT-AConsolidated View
How do I know when SIRS ERT was met?
If you hover over the SIRS ERT icon with your mouse in a Patient List Column in your Patient List or
on a TrackBoard, you will see the time SIRS ERT was met as a pop-up. This is shown below:
How do I know when SIRS findings are "positive" for my patient?
If you double click on the SIRS ERT icon shown in the Patient List or on a TrackBoard, it will take
you to the Clinical Risk Scores Report. SIRS related vital signs and lab results are displayed here. Values
that meet SIRS criteria for the specified parameters are highlighted in red.
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Severe Sepsis
Risk High at
Triage
SIRS ERT delayed
(CBC slow)

8. Severe Sepsis
Risk Probability
Model
• Leaves parameters
continuous
• Considers them
together
• Allows finer grained
control over alerting

9. Severe Sepsis
Risk Probability
Model
• Leaves parameters
continuous
• Considers them
together
• Allows finer grained
control over alerting

10. Severe Sepsis-AConsolidated View
Workflow:
Alert displays an icon in ED Manager/ED Track Board with supporting detail
available in print group
RN/LVN acknowledges the alert and
orders/ draws labs (PNL Triage Sepsis Nursing IP SCAL)
MD co-signs lab order
New hover help message:
“Draw sepsis labs”
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11. • What is it and what was the problem?
• Technical framework
• New era of choices
Overview

12. {S}caffold Architecture and Components
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KP HealthConnect
Best Practice
Advisories
Patient List
Columns
Notes
Print Groups
Header
Content
Patient Aura
Presentation
Configuration
Level
Fabric
Code
Level
Model
Functions
Core
Functions
Wrapper
Functions
Custom
Global
Calculation
Configuration
Level {S}cribe
{S}end{S}afe
Configuration
Files
Custom
development
EMR Standard
Ext. Database

13. {S}cribe {S}afe {S}end Fabric
Tool to create and
modify CDS tools
Storage of clinical
rules, algorithms, and
calculations
Generates configuration
files to load into EMR
Native EMR libraries
enabling
sophisticated CDS
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{S}caffold Calculation Configuration and Execution

14. SmartPhrase
Header
Aura
Trackboard
Report
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Presentation Layer Examples

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Current State of Various Models Prediction & Calculation
Model Name Status
Severe Sepsis Production
CURB-65 Production
SIRS ERT Production
Kt/V Production
Urea Reduction Ratio Production
CaPhos Production
CHADS2 Production
CHA2DS2Vasc Production
Corrected Calcium Development
Corrected Sodium Development
Anion Gap Development
Corrected Osmolality Development
Total Hip Risk of Revision Development
Total Hip Risk of Infection Development
Total Knee Risk of Revision Development
Total Knee Risk of Infection Development
ASCVD Production
EDIP/AAM (early warning) Planning
AKI Planning
No show prediction Planning
Mobility Production
FIB-4 Planning
Shock Index Planning
Neonatal Sepsis Risk Development
Protocol
Name Status
Insulin Drip Production
O2 Titration Planning
{S}caffold isn’t about a single risk model
{S}caffold is a platform to enable everything
through relatively “simple” calculations,
advanced predictive models, and protocol
management
If we are successful, we will have thousands
of clinician requested and designed tools

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A Loop Built for Learning
Prediction
Model
{S}cribe
Prediction
Modeling
Point of Care Decisions (Inside Epic)
EMR
Config File
EMR Limited
Deployment
EMR Full
Deployment
Fabric
EMR End User Interaction
Deployment Decisions (Outside Epic)
Parameter
Exploration
Function/Formula
Case Reviews Cases/Context
Operational
Characteristics
Population/System
EDW

17. • What is it and what was the problem?
• Technical framework
• New era of choices
Overview

18. How would you like to receive your information?
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SmartPhrase
Header
Aura
Trackboard
Report

19. What predictive model do you prefer?
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20. Should Each Person Get to Decide?
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21. Where would you like the threshold for action?
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1 2
3 4

22. Questions or Thoughts?
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