Transcript File

Integrated Asthma
Decision Support System
Med Info 406 – Winter 2009
Joan Baird
Nudrat Hassan
James Ellzy
Overview




Chronic inflammatory condition
Estimated cost $14 billion by NHLBI
National Asthma Education and Prevention
Program (NAEPP) guidelines
Patient and practitioner compliance low
CDSS goals




Provide patients with
consistent, high quality,
safe asthma care
Fewer visits to
ED/physicians
Minimal missed
work/school
PHR portal for patient
input


Access to current
clinical practice
guidelines, clinical
pathways
Disease management
through ICD-10, NDC
codes & order sets
Stakeholders
Board of Directors (Executive
Sponsorship)
C-Level Executives
Benefits realization committee
Training
CoordinatorVendor
Testing Coordinator
Project
Manager
Strategic
Consultant
Facilities
Manager
Communications/
Marketing
Core Implementation Team
IT
Director
Finance
Director
Lab
Director
Radiology/
PACS
Director
Pharmacy
Director
Director of
Outpatient care
Clinical Director
Surgical Units
Steering Committee
Super User
Super User
Super User
Super User
Super User
User Group
Super Users
Super Users
Medical Staff
Champion
Change Management







Assess “Current State”
Envision / Design “Future State”
Perform gap analysis
Confirm future state – design phased strategy for
implementation and rollout
Implement, evaluate, and recommend
improvements
Continually review for process improvement and IT
enabler opportunities
Perform before and after evaluation-metrics
Current State of Asthma DSS

Non integrated approaches



Paper based “cheat sheets”
Internet-based CDSS
Currently no approaches that directly alert
users of an EMR are available.
Chosen Model


CDSS to assist clinical team and patients in
maximizing management of chronic asthma
System assists in choosing the appropriate
Action for Treatment by


Systematically classifying both Asthma Severity
and Asthma Control
Alerting the provider if chosen treatment plan
does not agree with clinical practice guideline
recommendations
Asthma patient
presents for f/u
Assess Asthma
Severity
Intermittent
Persistent
Mild
Persistent
Moderate
Persistent
Severe
Assess Asthma Control
Poorly Controlled
Not Well
Controlled
Well Controlled
Poorly Controlled
Not Well
Controlled
Well Controlled
Poorly Controlled
Not Well
Controlled
Well Controlled
Poorly Controlled
Not Well
Controlled
Well Controlled
ADJUST THERAPY:
Well controlled – maintain current step
Not Well controlled – step up 1-2 steps
Poorly controlled – consider steroids and step up 1-2 steps
National Asthma Education and Prevention Program: Guidelines for the Diagnosis and Management of Asthma
Asthma Severity
National Asthma Education and Prevention Program: Guidelines for the Diagnosis and Management of Asthma
Asthma Control
National Asthma Education and Prevention Program: Guidelines for the Diagnosis and Management of Asthma
ADULTS
System Architecture

Assumptions


Clinician - EMR system in place
 Ordering – Medications
 Documentation
 Plans of Care
 Reporting
 Centralized Patient Data Repository
Patient - PHR
 Health History
 Self Assessment Forms
 Disease Management Guidelines
 Web-Interface
Decision Support Integration for Chronic Asthma Management
Clinic/Outpatient Design
Patient Datum including Asthma Severity and Asthma Control
ALERTS – ADJUST THERAPY
`
Clinician
Ord
e
EMR
He
Patient
PHR
alth
H
rs,
Do
cu m
lf
Se
ry,
isto
ent
atio
e
Ass
n, M
ss
edi
nt
me
Decision Support Content
Knowledge Repository
ca t
ion
,D
i se
s, P
lan
a se
so
na
Ma
fC
gem
a re
ent
Patient Data Repository
Reporting Engine
(Aggregate Data Reporting)
Page 1
Input into the System

Inputs

Data from EMR




Data from PHR



Severity
Control
Therapy
Symptom Reporting
Self Assessment
Aggregate Data from Reporting Engine
Output from the System

Alerts




Unsolicited
Provided when therapy does not match severity
and control
Logic for adjustment of therapy provided
End-User is able to override or by-pass alert
Evaluation – Verification/Validation

Verification

Was it built right?



Does the system alert when needed?
Does it unnecessarily alert?
Validation

Was it the right thing to build?


Is it changing decision makers to follow clinical
guidelines?
Are users following alerts?
Evaluation – Clinical Efficacy

Fewer asthma exacerbations




Improve appropriateness of overall workup and treatment
plan for a given situation
 Fewer ER visits for asthma exacerbation because patients
are appropriately managed
Optimize treatment of chronic conditions over time
 Fewer asthma office visits because asthma is appropriately
addressed at all visits
Improved compliance with care guidelines
Improved patient functional level

Less sick days because patient complies with self
treatment plan
Discussion: Limitations



Classifying asthma severity and monitoring
asthma control
System must address age groups-limitations
Chronic disease management

Patient engagement critical
Discussion: Implementation

Assumptions/scope



Workflow integration


Outpatient clinic
Follow-up visit
EMR/PHR
Future extension

Integration with long-term or inpatient care
Questions?