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After the EHR: Improving Quality and Safety

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Title: After the EHR: Improving Quality and Safety


1
After the EHRImproving Quality and Safety
  • Maryland HIMSS
  • April 25, 2008
  • William Buddy Gillespie
  • VP CIO
  • WellSpan Health
  • York, PA

2
Session Objective
  • How to leverage existing EHR data by harvesting
    key clinical indicators to provide for
  • Retrospective view of clinical performance
    measurements against established best-practice
    benchmarks
  • Feedback to quality improvement teams to trigger
    proactive adjustments to established programs
  • Real-time surveillance of clinical events
  • Intervention at point of care relative to
    infectious disease and ADE's

3
WellSpan Health At A Glance
  • Geography
  • Facilities
  • Staff
  • Patient Care

4
Drivers of Change
  • Patient Safety Quality of Care
  • Transparency Reporting
  • Regulatory Legislative Mandates
  • Cost Reimbursement
  • Patient Service Satisfaction
  • Interoperability
  • Disaster Recovery

5
2008 Survey
6
2008 Survey
7
2008 Survey
8
2008 Survey
9
2008 Survey
10
WellSpan Solutions
  • CareScience
  • TheraDoc

TheraDocIncorporated June 28, 1999
11
WellSpan Quality Management
WellSpan Health Director of Quality Management
Public Communication
WellSpan Information Services
Quality Data Management Service
Regulatory Compliance (JCAHO, DOH, CMS)
Quality Management Education (Dean of PI
University
Clinical Project Management
12
Quality Management
  • Support WellSpan Healths staff in their efforts
    to achieve excellent patient care services by
    providing and promoting
  • expertise in the theory and techniques of quality
    management
  • a learning environment for process improvement,
    research, and excellence in individual patient
    care mentor staff projects
  • individual case management services to selected
    patients
  • access to clinical data to understand process and
    measure outcomes
  • Changing behaviors and attitudes to enhance the
    quality of care

13
Next Steps
  • Deploy WellSpans QI Methodology
  • WellSpan Quality College
  • Deans develop curriculum and identify faculty
  • Identify and develop Project Facilitators
  • Begin to identify selected improvement projects
  • Ambulatory Group
  • Limited number of projects in Service Lines
  • Implement data-mining tool (CareScience)
  • Develop governance and leadership expertise
  • Develop management expectations and expertise

14
Clinical Effectiveness Teams
  • Assist in the Measurement and Evaluation of
    Clinical Outcomes
  • Nine CETs
  • Focus ICU, Stroke , Pneumonia, Congestive Heart
    Failure, etc.
  • Publish Guidelines
  • Key User of CareScience

15
  • CareScience
  • Quality Manager

16
Care Management Suite
CareScience Quality Manager
Quick Reports Standard Analysis Advanced Analysis
Exploratory Analysis
Case finding, custom reports Ambulatory data
integration
National Comparatives
Comparative database of CareScience customers
JCAHO reporting (Atlas Today)
Standards of Care
Clinical Terminology Service
Standardization Hierarchy
17
CareScience
We are Here
18
Performance Measures Available in CareScience
Quality Manager
  • Structure case types, volume, assignments
  • Process
  • Core Measures
  • Resource utilization (ICU, blood, etc.)
  • Outcomes (raw and risk-adjusted)
  • Mortality
  • Morbidity
  • Complications
  • LOS
  • Cost/charge
  • Readmissions (raw only)

Standard Reports
19
WellSpans Implementation Team
  • Clinical Project Lead SVP Care Management,
    Director QM
  • Oversight of project report to executive
    sponsor
  • Key go-to person
  • Information Services Resources KM Architect
  • Technical Project Manager
  • Source-system experts
  • Interface Programmer
  • Quality Department Representatives Data Analyst
  • Data analysts
  • Improvement Coordinators, Team Facilitators,
    Outcome Managers, etc.
  • Medical Records - Adhoc
  • Knowledgeable in your Coding Policies/ Practices
  • Adhoc Steering Group Project Team
  • Include key clinical representatives from IS,
    CareScience, nursing, pharmacy, safety, risk
    management, CETs,etc.

20
Implementation Project Team
21
CareScience Quality Manager Framework for
Implementation Success
Phase I Preparation
Phase II Roll-out
Phase III Achieving Value
  • Data SourceSystem Review
  • Validation
  • Core HardwareSet-up
  • Test Data Load
  • Historical DataLoad
  • Data Integration
  • Secondary Training
  • Rollout Plan Priority Grid
  • Quarterly Status withExecutive Team
  • Test Cut Data Demo
  • Client Management Support
  • Clinical Terminology Roll-out
  • Key User SkillsAssessment
  • Ongoing Education
  • Clinical Forum
  • Key User Forum
  • Quarterly EducationSessions
  • Primary Key User Training
  • Introductory Call
  • Clinical Case Study
  • Big Known Issues!
  • Kick-off Meeting
  • Grand Rounds
  • Implementation Design

22
WellSpan EHR Data Source
Cerner
GE/IDX
Exams performed(by day of stay, from revenue
detail)
Meds administered(by day of stay, from pharmacy
system)
Eclipsys GE Flowcast
Pharmacy
Radiology
Cerner

Tests
PCS Data Manager mds 7.x Remote Hosted
Admission/Discharge/Transfer ADT
Laboratory
Eclipsys
AllScripts TouchWorks
Eclipsys
UB-92
Resource (Charges)
Patient demographicsDx and Px codes
Ambulatory
(by day of stay, from revenue detail)

23
WellSpan EHR Data Source
  • Facility - Cerner
  • Resource Master - Eclipsys
  • Staff Master - Eclipsys
  • Diagnosis - Cerner/Eclipsys
  • Encounter - Cerner/Eclipsys
  • Inpatient Event - Cerner
  • Operating Room Cerner
  • Payor Cerner/Eclipsys
  • Pharmacy Dispensing Administration Cerner
  • Pharmacy Order Cerner
  • Pharmacy Order Dispensing Map Cerner
  • Practitioner - Cerner/Eclipsys
  • Procedure Cerner/Eclipsys
  • Resource Cerner/Eclipsys
  • Test Result Cerner
  • Antibiotics Cerner

Phase II
24
Eclipsys
Eclipsys DW
PCS Remote Host
Data Validation Report Report Selection
Cache
ETL
PCS mds 7.X
Monthly
SQL2005 Staging DW
Internet
Cerner
Xmit
Cerner DW
Oracle
SQL
Internet
MS Integration Services
25
Implementation Design Objectives
  • Assess the existing organizational infrastructure
    of WellSpan Health for readiness to support care
    management
  • Identify strengths and potential barriers that
    will affect implementation of the CareScience
    Quality Manager (QM)
  • Identify opportunities to leverage staff
    resources through the use of QM
  • Initiate a roll-out plan for QM

26
Clinical Case Study Objectives
  • Demonstrate how CareScience Quality Manager (QM)
    can be used to accelerate clinical performance
    improvements
  • Develop data mining skills of QM users
  • Enhance ability of the CETs to use QM to identify
    care processes driving worse than expected
    outcomes
  • Build knowledge and trust for QM capabilities and
    methodologies among physician, clinical, and
    administrative leaders

27
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28
Two Parallel Implementation Tracks
  • STRATEGIC - Goal Setting, User Selection, Work
    Flow Analysis, Change Management Process,
    Training and Education
  • TACTICAL - Data Transfer, Validation and
    Processing

29
Project Milestones Strategic Track
  • Implementation Design Clinical Staff
  • Pre Go Live Training
  • Analytic Methodology
  • Navigation Training Primary Training
  • Coordinated by Client Manager
  • Primary User Training
  • Coordinated by Client Manager
  • Conducted 1-2 weeks after Go Live
  • Key User Training
  • Coordinated by Client Manager
  • Conducted 2-4 weeks after Primary Training

30
Project Milestones Strategic Track
  • Ongoing Service and Support
  • Client Manager
  • Service Team (Service Center staff, data manager)
  • Clinical Case Study Clinical Staff
  • Scheduled 4-8 weeks after Key User Training
  • Secondary Training
  • Coordinated by Client Manager
  • Scheduled 2 months after Case Study

31
Project Milestones Tactical Track
  • Master Data Specification (MDS)
  • Conference call MDS Review
  • On-site meeting Interface Planning
  • Test data extraction (3 month cut)
  • Validation reviews
  • Data Audit
  • Complete data extraction of 2 year Historical cut
    and go live
  • Validation reviews
  • Data Audit

32
Key User Responsibilities
  • Awareness of the organizations strategic goals
  • How will CareScience Quality Manager (QM) be
    utilized within the system and/or facility?
  • How will QM fit into the overall organizational
    PI goals and objectives?
  • Disperse information to Primary Users
  • Information from CareScience e-blasts
  • Communications from Client Manager and
    CareScience Consulting
  • Support Primary Users in use of CareScience
    Quality Manager
  • For example, coordinate internal user group
    meetings to discuss what all users are doing.
    This can be a great forum for practicing data
    presentation and interpretation
  • Train additional users (beyond those trained in
    the initial CareScience training)
  • System navigation
  • Report interpretation
  • CareScience Analytic Methodology

33
Key User Responsibilities
  • System Administration
  • Assign user ids and passwords (QM)
  • Monitor utilization through monthly User Usage
    reports sent by CareScience
  • Support the Query needs for the organization
  • Support Clinical Terminology Mapping
  • Resources that are unable to be mapped or need
    clarification will be sent to the Key Users in an
    Excel spreadsheet. Key Users should follow up
    with the appropriate internal staff for
    clarification and return the spreadsheet to the
    Client Manager.
  • Monitor quarterly or monthly data transfers
  • Ensure compliance to agreed upon update schedule
  • Review validation reports
  • Notification Primary Users of quarterly or
    monthly data update availability

34
Key Analyst Skill Requirements
  • Experience with generating, analyzing and
    interpreting data
  • Ability to explain data to others in an
    understandable manner
  • Ability to partner with clinicians to understand
    data needs through hypothesis formulation
  • Well-developed critical thinking skills
  • Knowledge and understanding of organizational PI
    goals
  • Ability to train others in system navigation
  • Knowledge of relational databases
  • Understanding of CareScience Master Data
    Specification
  • Knowledge of internal data sources
  • Knowledge of Exploratory Analysis tool

35
Key Clinical User Skill Requirements
  • Experience with generating, analyzing and
    interpreting data
  • Ability to explain data to others in an
    understandable manner
  • Ability to formulate hypothesis based on clinical
    knowledge
  • Well-developed critical thinking skills
  • Knowledge and understanding of organizational PI
    goals
  • Ability to train others in system navigation
  • Access to avenues for disseminating information
  • Ability to recognize strategic pitfalls
  • Ability to achieve consensus on clinical issues
  • Demonstrated change agent capabilities
  • Ability to facilitate team meetings

36
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37
Outcome Profile Pneumonia To help the
Medical Service line get started with data for
the Pneumonia patients they follow i.e. How
many of the patients with pneumonia diagnosis,
also had a resource (charge) for a specific drug?

38
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41
Length of Stay Comparison Length of Stay
comparison for top 10 Principal diagnosis, and
all other diagnosis as a comparison group. This
spreadsheet has tabs at the bottom to allow
comparison between Standard Practice and Select
Practice. Standard Practice is a risk-adjusted
mode based on a significant number of acute
facilities that submit data to CareScience.
Select Practice is also a risk-adjusted mode,
but it allows us to compare ourselves to a set of
hospitals whose performance has been determined
by CareScience to be in a select or superior
group (i.e. these hospitals perform in the top
15 on both quality and efficiency measures).
42
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43
CareScience Summary
  • Phase I Complete
  • Clinical Effectiveness Teams Trained
  • Data Load Complete March 1
  • 24-Month Rolling Data
  • Monthly Upload 120 Plus Data Elements
  • Canned Report Training Complete
  • Running 15 to 20 Canned Reports
  • Adapting to Reports Data Blending
  • AdHoc Report Training Next Week
  • Data Validation On-going
  • CETs to Identify Major Areas of Focus
  • Phase II to Begin in May
  • Phase II Cerner Millennium Pathnet/SurgiNet at
    Gettysburg

44
What is TheraDoc?
  • TheraDoc is a clinical informatics company that
    develops and implements electronic surveillance
    systems for injury detection and prevention to
    transform the quality, efficiency and safety of
    patient care through enhanced clinical decision
    making in real-time.
  • 150 Hospitals in 27 States

TheraDocIncorporated June 28, 1999
45
Infection Control Services
WellSpan Health Director of Infection Control
Adams County Facilities
York County Facilities
WellSpan Information Services
Apple Hill Surgical Center
Gettysburg Hospital
WellSpan Endoscopy Center
WMG Offices Ambulatory Care Sites
WMG Offices Ambulatory Care Sites
York Hospital
VNA
46
Protected by US Patents 7,213,009 7,230,529
Eclipsys
Cerner
Cerner
Cerner
GE/IDX
Cerner
Cerner
Data Interoperability
Knowledge Integration
TheraDocIncorporated June 28, 1999
47
TheraDocIncorporated June 28, 1999
48
Knowledge Modules
  • Infection Control Assistant -
    Infection/syndromic surveillance Reporting,
    Real-Time
  • Antibiotic Assistant - Antimicrobial
    Stewardship Disease Management, Mobile,
    Handheld, Patient Specific
  • ADE Assistant - Medication Safety Surveillance
    Real Time
  • Clinical Alerts Assistant - Global trigger
    Adverse Event Surveillance
  • Rules-Based, Real-Time

TheraDocIncorporated June 28, 1999
49
Expert Systems Modules
  • Intervention Assistant - Point-of-care patient
    safety documentation
  • Rounds Assistant - CDS Workflow Gateway
  • EZ Alerts Assistant - Clinician Rules and
    Knowledge Editor

TheraDocIncorporated June 28, 1999
50
WellSpan EHR Data
Eclipsys
Cerner
Cerner
Cerner
GE/IDX
Cerner
Cerner
TheraDocIncorporated June 28, 1999
51
Why is TheraDoc Important to WellSpan?
  • TheraDoc complies with ACT 52 and
  • provides solutions for
  • Recent Medicare Medical Error Ruling
    Reimbursement Exclusions
  • State Mandated HAI reporting
  • MDRO Prevention Initiatives MRSA
  • Infection Control Interventions
  • Antimicrobial Stewardship
  • Adverse Drug Even Prevention
  • Critical Care Environments
  • Patient Safety Quality of Care
  • Reduced Length of Stay

52
PLAN
LIVE
53
Value Added Benefits for Infection Control
Department
  • Produces an accurate patient flag report, save 60
    min/day.
  • Eliminates the daily sort of paper lab results,
    saving 15-30 min/day.
  • Reduces the number of possible healthcare
    associated infections that require investigation.
  • Save hours of MRSA surveillance time by
    implementing the MRSA surveillance report of all
    completed cultures.

54
Value Added Benefits for Infection Control
Department
  • Produces specific criteria-based reports and
    work lists.
  • Auto populates the census and formulates an
    infection rate. Graphing and trending capability.
  • Creates a thorough electronic infection control
    report which was previously done manually. It
    captures and links microbiology, radiology, lab,
    bed trace, etc, and saves hours of time.

55
WellSpan Implementation Resources
Summary (based on 4-6 month implementation)
(Approximate) Title Total hrs
needed for entire install Executive Sponsor
20 hrs Project Manager 200 hrs Clinical
Champion 40 hrs IS/Technical Staff 40
hrs Interface Engine Specialist 40
hrs Interface Specialist /Tester 40 hrs (per
ancillary ADT, RX, LAB/MICRO, RAD)
56
TheraDoc Summary
  • Contract Signed in November, 2007
  • Plan Submitted to DOH in January
  • Project Kickoff Scheduled for July
  • Cerner Millennium PathNet a Prerequisite
  • Cerner SurgiNet Implementation at Gettysburg
  • Real-time Data Feeds From Cerner
  • Desired Go-live December 2008?

57

Closing Remarks
58
WellSpan Contacts
  • Pam Goodling
  • Infection Control
  • TheraDoc Contact
  • pgoodling_at_wellspan.org
  • Lisa Stough
  • Knowledge Architect
  • CareScience Contact
  • lstough_at_wellspan.org

59
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