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

Clinician Decision Support By Clinicians, For Clinicians

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Clinical Decision Support By Clinicians, For Clinicians

{S}caffold: A toolset for making it so

Jason Jones, PhD

Kaiser Permanente

• What is it and what was the problem?

• Technical framework

• New era of choices

Overview

• Fit decision support into workflow

• Speed ideation to deployment

• Creative control for clinicians and informaticists

• Advance technical (prediction & protocol) capability

Development Goals

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.

A Patient Story (Mimi Lee, MD)

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

SIRS ERT-A Consolidated 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)

Severe Sepsis Risk Probability Model • Leaves parameters

continuous • Considers them

together • Allows finer grained

control over alerting

Severe Sepsis Risk Probability Model • Leaves parameters

continuous • Considers them

together • Allows finer grained

control over alerting

Severe Sepsis-A Consolidated 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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• What is it and what was the problem?

• Technical framework

• New era of choices

Overview

{S}caffold Architecture and Components

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KP HealthConnect

Best Practice

Advisories

Patient List

Columns

Notes

Print Groups

Header

Content Patient Aura P

rese

nta

tio

n

Co

nfi

gu

rati

on

Lev

el

Fabric

Co

de

Lev

el

Model

Functions Core

Functions

Wrapper

Functions

Custom

Global

Cal

cula

tio

n

Co

nfi

gu

rati

on

Lev

el

{S}cribe

{S}end {S}afe Configuration

Files

Custom

development

EMR Standard

Ext. Database

{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

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

• What is it and what was the problem?

• Technical framework

• New era of choices

Overview

How would you like to receive your information?

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SmartPhrase

Header

Aura

Trackboard

Report

What predictive model do you prefer?

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Should Each Person Get to Decide?

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Where would you like the threshold for action?

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Questions or Thoughts?

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