adopting health it: what, why, and how?
DESCRIPTION
Theera-Ampornpunt N. Adopting Health IT: What, Why, and How? Presented at: How to Implement World Standard Hospital IT?; 2010 Nov 3; Srinagarind Hospital, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand. Invited speaker, in Thai.TRANSCRIPT
Adopting Health IT: What, Why & How?Nawanan Theera‐Ampornpunt, MD, MS (Health Informatics)PhD Candidate (Health Informatics), University of MinnesotaFaculty of Medicine Ramathibodi Hospital, Mahidol University Except copiedFaculty of Medicine Ramathibodi Hospital, Mahidol University
SlideShare.net/NawananExcept copied
from elsewhere
Health IT: What’s in a Word?
Health GoalHealth f
Goal
Information Value-Add
Technologydd
MeansTechnology Means
Adopting Health ITTHE “WHAT”p g
THE WHAT
Information is Everywhere
Various Forms of Health IT
Hospital Information System (HIS) Computerized Provider Order Entry (CPOE)
Electronic Health
Records Picture Archiving and Records (EHRs)
gCommunication System
(PACS)
Still Many Other Forms of Health IT
Health Information Exchange (HIE)Exchange (HIE)
m-Health
Biosurveillance
Personal Health Records (PHRs)
Telemedicine &
( )
Information RetrievalTelemedicine &
Telehealth
Images from Apple Inc., Geekzone.co.nz, Google, PubMed.gov, and American Telecare, Inc.
Health Informatics & Health IT
Shortliffe, 2002
Adopting Health ITTHE “WHY”p gTHE WHY
Common “Goals” for Adopting HIT
“Computerize”“Go paperless” ComputerizeGo paperless
“Digital Hospital”“Get a HIS”
Digital Hospital
“H EMR ”“Modernize”
“Have EMRs”
“Share data”Share data
Some Misconceptions about HIT
IfC t N M d
IfCurrent
EnvironmentNew, Modern,
Electronic EnvironmentEnvironment
ThenAlways
Bad GoodAlways
Bad Good
Some Quotes
• “Don’t implement technology just for• Don t implement technology just for technology’s sake.”“D ’t k f ll t t h l• “Don’t make use of excellent technology. Make excellent use of technology.”(Tangwongsan Supachai Personal communication 2005 )(Tangwongsan, Supachai. Personal communication, 2005.)
• “Health care IT is not a panacea for all that ails medicine ” (H h 2004)ails medicine. (Hersh, 2004)
• “We worry, however, that [electronic records] b i t t d f l llare being touted as a panacea for nearly all
the ills of modern medicine.”(H t b d & G 2008)(Hartzband & Groopman, 2008)
Common Denominator
H lth I f ti T h l• Health Information Technology
• Electronic Health Records
• Health Information ExchangeHealth Information Exchange
• e-Health
The Key Is Information
K l dKnowledge
Information (Data + Meaning)(Data + Meaning)
Data
Various Ways to Measure Success
• DeLone & McLean (1992)• DeLone & McLean (1992)
4 Ways IT Can Help Health Care
Modified from Strategic
• Business Intelligence • CDSS
Theera-Ampornpunt, 2009
Strategic
Intelligence• Data Mining/
Utilization• MIS• Research
CDSS• HIE• CPOE• PACS• Research
Informatics• E-learning
• EHRs
ClinicalAdministrativeEnterprise Resource Planning
• ADT• HIS
ClinicalAdministrative
Planning• Finance• Materials• HR
• HIS• LIS• RIS
HR
OperationalPosition may vary based on local context
Clinical Care
• Information rich but fragmented• Information-rich, but fragmented• Large knowledge body, limited
memory• Complex clinical decisions• Busy providers, limited time• Poor handwritingPoor handwriting• One small mistake can lead to
morbidity & mortalitymorbidity & mortality
Fundamental Theorem of Informatics
Friedman, 2009
Clinical Improvements
• Literature suggests improvement through• Literature suggests improvement through– Guideline adherence (Shiffman et al, 1999;Chaudhry et al, 2006)
– Better documentation (Shiffman et al, 1999)
– Practitioner decision making or process of care (Balas et al, 1996;Kaushal et al, 2003;Garg et al, 2005)
– Medication safety(Kaushal et al 2003;Chaudhry et al 2006;van Rosse et al 2009)(Kaushal et al, 2003;Chaudhry et al, 2006;van Rosse et al, 2009)
– Patient surveillance & monitoring (Chaudhry et al, 2006)
P ti t d ti / i d– Patient education/reminder (Balas et al, 1996)
Clinical Decision Making ModelPATIENT
PerceptionCLINICIAN
Attention
External MemoryLong Term Memory WorkingM
Knowledge DataKnowledge DataMemory
Inference
DECISIONFrom a teaching slide by Don Connelly, 2006
Operational Improvements
• Workflow Optimization• Workflow Optimization– Business Process Reengineering (BPR)
O ti R h & M t– Operations Research & Management• Parallel Access to Information
ResultsTi i• Time saving
• Cost saving• Productivity• PredictabilityPredictability• Flexibility (Organizational slack)
Summary Points: The Why
• Health IT doesn’t fix everything• Health IT doesn t fix everything• Don’t just “turn electronic”• Clearly aim for quality & efficiency of care• Identify problems/risks with current systems• Adopt and use health IT “meaningfully”• Use health IT toUse health IT to
– help clinicians do things betterimprove operational workflows– improve operational workflows
– support organizational strategies
Adopting Health ITTHE “HOW”p g
THE HOW
Considerations
Build or Buy• Build or Buy• Vendor Managementg• Adoption Concepts & Strategies
Build or Buy
Build/Homegrown Buy/OutsourceBuild/Homegrown• Full control of software
& d t
Buy/Outsource• Less control of
ft & d t& data• Requires local expertise
software & data• Requires vendor
• Expertise retention/knowledge
competence• Vendor relationship g
management is vital• Maybe cost-effective if
pmanagement is vital
• Maybe cost-effectiveMaybe cost effective if high degree of local customizations or long-
Maybe cost effectiveif economies of scale
customizations or longterm projection
Build or Buy
• No universal right or wrong answer• Depends on local contexts
– Strategic positioningg p g– Internal IT capability
Existing environments– Existing environments– Level of complexity/customization needed– Market factors: market maturity, vendor choices,
competence, willingness to customize/learn– Pricing arrangements– Purchasing powerg– Sustainability
Outsourcing Decision Tree
Is external delivery
Keep InternalNo
Does service offer titi d t ?
reliable and lower cost?
OUTSOURCE!
No
Yescompetitive advantage?
Keep InternalYes
From a teaching slide by Nelson F. Granados, 2006
Outsourcing Dilemmas
Doig et al, “Has Outsourcing gone too far,” McKinsey Quarterly, 2001
• “One of the challenges Ford has is that it has outsourced soOne of the challenges Ford has is that it has outsourced so much of its process, it no longer has the expertise to understand how it all comes together” Marco Iansiti, CIO, 2003
From a teaching slide by Nelson F. Granados, 2006
IT Outsourcing: Ramathibodi’s CaseExternal delivery unreliable• Non-Core HIS
Keep Internal
Non-Core HIS,External delivery higher cost• ERP, IT Support?
Is external deliveryreliable and lower cost?
Keep Internal
No
No
Does service offer competitive advantage?
OUTSOURCE!Yes
PACS RIS
Keep InternalYes
C S C O
PACS, RIS, Departmental
systems, IT TrainingCore HIS, CPOE
Strategic advantages• Agility due to local workflow accommodations
S d d t tili ti ( h QI)
IT Training
From a teaching slide by Nelson F. Granados, 2006
• Secondary data utilization (research, QI)• Roadmap to national leader in informatics
If Decision = Build
Challengesg• Recruitment & retention• Keeping up with new technologies &
requirementsrequirements– The “legacy systems” trap
• Justifying “slow” implementation
If Decision = Build
Suggestions• Recruitment & retention
Knowledge management: Tacit > Explicit• Knowledge management: Tacit -> Explicit• Have long-term vision/strategies• Aim for system evolution
New requirements– New requirements– New technologies/best practices– Refactoring
• Prioritize• Reevaluate build/buy decision every 5 years
If Decision = Buy
Challengesg• Vendor selection• Justifying long-term costs• Managing risks• Managing risks• The “vendor lock-in” problemp
If Decision = BuySuggestions• Take time & effort in knowing your potential vendors• Be flexible in requirements, project delivery• Look at vendor as partner, not contractor
– Avoid “us-versus-them” mentalityy
• Understand “learning curves”• Be less bureaucratic more collaborative• Be less bureaucratic, more collaborative• Be specific in SLAs, MAs, IP, data ownership• Choose technologies wisely, with rooms for later
migration if possible• Knowledge transfer• Always have a Plan B (Alternative vendors, internal workforce)
Gartner’s Sourcing Life Cycle
Strategic TacticalSourcing Strategy
g Identificationg Criteria development
Evaluation and Selectiong Alignmentg Organization assessment
g
g Organization fitg Selection process g Partnership
g Core competenciesg Market scang Make-or-buy decisions
opportunities
ContractSourcingManagement
g Risk analysis
g Governance modelg Metrics
g Relationshipg Performance
assessment
DevelopmentManagement
g Payment modelsg Terms and conditionsg Provision
assessmentg Goals: reach business
objectives, efficiency,quality, innovation
for changesq y,
g Transition
From a teaching slide by Nelson F. Granados, 2006
Levels of Adoption
Individual
DepartmentDepartment within organization
Organization
Adoption Considerations
• Organizational adoption ≠ individual use• IT availability vs. IT use• Depth (IT infusion) vs. breadth (IT diffusion)• Components of ITComponents of IT
– Technologies People– Functions– DataData– Management
Techno-logyProcess
Adoption Curve
Source: Rogers (2003)
Key Management Issues
• Change management• Change managementCommunicationCClear, shared vision and user commitmentWorkflow considerationsAdequate and multi-disciplinary user involvementLeadership supportp ppTraining
• Project management• Project management• Organizational learning
Source: Theera-Ampornpunt (unpublished)
• Innovativeness
Summary
• Know what to adopt• Know what to adopt– Gap analysis
Know why adopt• Know why adopt– Individual & organizational impacts (clinical/administrative,
strategic/operational)strategic/operational)
• Know how to adoptL l t t di t t h “K i ti ”– Local contexts dictate how; “Know your organization”
– Balance technology focus with people & process focus
Manage risks– Manage risks
– Manage change
Balance immediate needs with long term journey– Balance immediate needs with long-term journey
– Evaluate!!
References
• DeLone WH, McLean ER. Information systems success: the quest for the dependent variable. Inform Syst Res. 1992 Mar;3(1):60-95.
• Friedman CP. A "fundamental theorem" of biomedical informatics. J Am Med Inform Assoc. 2009 Apr;16(2):169-70.
• Hartzband P Groopman J Off the record--avoiding the pitfalls of going electronic N Engl JHartzband P, Groopman J. Off the record avoiding the pitfalls of going electronic. N Engl J Med. 2008 Apr 17;358(16):1656-1658.
• Hersh W. Health care information technology: progress and barriers. JAMA. 2004 Nov 10:292(18):2273-4.R EM Diff i f i ti 5th d N Y k F P 2003 551• Rogers EM. Diffusion of innovations. 5th ed. New York: Free Press; 2003. 551 p.
• Shortliffe EH. JBI status report. Journal of Biomedical Informatics. 2002 Oct;35(5-6):279-80.
• Theera-Ampornpunt N. Measurement of health information technology adoption: a review p p gy pof the literature and instrument development [master’s Plan B project] (unpublished). Minneapolis (MN): University of Minnesota; 2009. 165 p.
• Theera-Ampornpunt N. Medical informatics: a look from USA to Thailand. Presented at: Ramathibodi's Fourth Decade: Best Innovation to Daily Practice; 2009 Feb 10-13;Ramathibodi s Fourth Decade: Best Innovation to Daily Practice; 2009 Feb 10 13; Nonthaburi, Thailand. Panel discussion via videoconference, in Thai. http://www.slideshare.net/nawanan/medical-informatics-a-look-from-usa-to-thailand-1009781