Hospital Information Systems (and How To Manage Them) For “Hospital Management 2015” Program by the Hospital Administration School, Faculty of Medicine Ramathibodi, Mahidol University August 18, 2015 Nawanan Theera-Ampornpunt, M.D., Ph.D. www.SlideShare.net/Nawanan
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Hospital Information Systems
(and How To Manage Them)
For “Hospital Management 2015” Program by the Hospital
Administration School, Faculty of Medicine Ramathibodi,
Mahidol University
August 18, 2015
Nawanan Theera-Ampornpunt, M.D., Ph.D.
www.SlideShare.net/Nawanan
2
2003 M.D. (1st-Class Honors) Ramathibodi
2009 M.S. (Health Informatics) University of Minnesota
2011 Ph.D. (Health Informatics) University of Minnesota
Currently
Faculty of Medicine Ramathibodi Hospital
• Instructor, Department of Community Medicine
• Deputy Executive Director for Informatics (CIO/CMIO)
Chakri Naruebodindra Medical Institute
Contacts
SlideShare.net/Nawanan
www.tc.umn.edu/~theer002
Introduction
3
Outline
Why: Health & Health Information
What: Health IT in Hospitals
How: Hospital IT Management
4
Health &
Health Information
5
Let’s take a look at
these pictures...
6Image Source: Guardian.co.uk
Manufacturing
7Image Source: http://www.oknation.net/blog/phuketpost/2013/10/19/entry-3
Banking
8ER - Image Source: nj.com
Healthcare (on TV)
9
(At an undisclosed nearby hospital)
Healthcare (Reality)
10
• Life-or-Death
• Difficult to automate human decisions
– Nature of business
– Many & varied stakeholders
– Evolving standards of care
• Fragmented, poorly-coordinated systems
• Large, ever-growing & changing body of knowledge
• High volume, low resources, little time
Why Healthcare Isn’t Like Any Others
11
Input Process Output
Transfer
Banking
Value-Add- Security
- Convenience
- Customer Service
Location A Location B
But...Are We That Different?
12
Input Process Output
Assembling
Manufacturing
Raw
Materials
Finished
Goods
Value-Add- Innovation
- Design
- QC
But...Are We That Different?
13
Input Process Output
Patient Care
Health care
Sick Patient Well Patient
Value-Add- Technology & medications
- Clinical knowledge & skills
- Quality of care; process improvement
- Information
But...Are We That Different?
14
• Large variations & contextual dependence
Input Process Output
Patient
Presentation
Decision-
Making
Biological
Responses
Recognizing Variations in Health Care
15
“To Computerize”“To Go paperless”
“Digital Hospital”“To Have
EMRs”
Why Adopting Health IT?
16
• “Don’t implement technology just for
technology’s sake.”
• “Don’t make use of excellent technology.
Make excellent use of technology.”(Tangwongsan, Supachai. Personal communication, 2005.)
• “Health care IT is not a panacea for all that
ails medicine.” (Hersh, 2004)
Some Quotes
17
Management Point #1:
Stop Your
“Drooling Reflex”!!
18
Management Point #2:
Focus on Information &
Process Improvement,
Not Technology
19
Back to
something simple...
20
To treat & to care for their patients to their best abilities
Image Source: http://en.wikipedia.org/wiki/File:Newborn_Examination_1967.jpg (Nevit Dilmen)
What Clinicians Want?
given limited time & resources
21
• Safe
• Timely
• Effective
• Patient-Centered
• Efficient
• Equitable
Institute of Medicine, Committee on Quality of Health Care in America. Crossing the quality
chasm: a new health system for the 21st century. Washington, DC: National Academy
Press; 2001. 337 p.
High Quality Care
22
Information is Everywhere in Healthcare
23
“Information” in Medicine
Shortliffe EH. Biomedical informatics in the education of physicians. JAMA.
2010 Sep 15;304(11):1227-8.
24
24
WHO (2009)
Components of Health Systems
25
25
WHO (2009)
WHO Health System Framework
26
• Safe
– Drug allergies
– Medication Reconciliation
• Timely
– Complete information at point of
care
• Effective
– Better clinical decision-making
Image Source: http://www.flickr.com/photos/childrensalliance/3191862260/
Achieving Quality Care with Information & ICT
27
• Efficient
– Faster care
– Time & cost savings
– Reducing unnecessary tests
• Equitable
– Access to providers & knowledge
• Patient-Centered
– Empowerment & better self-care
Achieving Quality Care with Information & ICT
28
(IOM, 2001)(IOM, 2000) (IOM, 2011)
Landmark IOM Reports
29
• To Err is Human (IOM, 2000) reported
that:
– 44,000 to 98,000 people die in U.S.
hospitals each year as a result of
preventable medical mistakes
– Mistakes cost U.S. hospitals $17 billion to
$29 billion yearly
– Individual errors are not the main problem
– Faulty systems, processes, and other
conditions lead to preventable errors
Health IT Workforce Curriculum Version
3.0/Spring 2012 Introduction to Healthcare and Public Health in the US: Regulating Healthcare - Lecture d
Patient Safety
30
• Humans are not perfect and are bound to
make errors
• Highlight problems in U.S. health care
system that systematically contributes to
medical errors and poor quality
• Recommends reform
• Health IT plays a role in improving patient
safety
IOM Reports Summary
31Image Source: (Left) http://docwhisperer.wordpress.com/2007/05/31/sleepy-heads/
(Right) http://graphics8.nytimes.com/images/2008/12/05/health/chen_600.jpg
To Err is Human 1: Attention
32Image Source: Suthan Srisangkaew, Department of Pathology, Facutly of Medicine Ramathibodi Hospital
To Err is Human 2: Memory
33
• Cognitive Errors - Example: Decoy Pricing
The Economist Purchase Options
• Economist.com subscription $59
• Print subscription $125
• Print & web subscription $125
Ariely (2008)
16
0
84
The Economist Purchase Options
• Economist.com subscription $59
• Print & web subscription $125
68
32
# of
People
# of
People
To Err is Human 3: Cognition
34
• It already happens....(Mamede et al., 2010; Croskerry, 2003;
Klein, 2005; Croskerry, 2013)
What If This Happens in Healthcare?
35Klein JG. Five pitfalls in decisions about diagnosis and prescribing. BMJ. 2005 Apr
2;330(7494):781-3.
“Everyone makes mistakes. But our
reliance on cognitive processes prone to
bias makes treatment errors more likely
than we think”
Cognitive Biases in Healthcare
36
• Medication Errors
– Drug Allergies
– Drug Interactions
• Ineffective or inappropriate treatment
• Redundant orders
• Failure to follow clinical practice guidelines
Common Errors
37
Management Point #3:
“To Err is Human”
38
External Memory
Knowledge Data
Long Term Memory
Knowledge Data
Inference
DECISION
PATIENT
Perception
Attention
Working
Memory
CLINICIAN
Elson, Faughnan & Connelly (1997)
Clinical Decision Making &
Clinical Decision Support Systems (CDS)
39
Example of “Alerts & Reminders”
Reducing Errors through “Alerts & Reminders”
(A Form of Clinical Decision Support System)
40
Why We Need ICT
in Healthcare?
#1: Because information is
everywhere in healthcare
41
Why We Need ICT
in Healthcare?
#2: Because healthcare is
error-prone and technology
can help
42http://www.dplindbenchmark.com/wp-content/uploads/2013/02/HHRI-Our-Health-Care-River.pdf
Fragmented Healthcare
43
Why We Need ICT
in Healthcare?
#3: Because access to
high-quality patient
information improves care
44
Why We Need ICT
in Healthcare?
#4: Because healthcare at
all levels is fragmented &
in need of process
improvement
45
• Guideline adherence
• Better documentation
• Practitioner decision making
or process of care
• Medication safety
• Patient surveillance &
monitoring
• Patient education/reminder
Documented Values of Health IT
46
Management Point #4:
Link IT Values to
Quality (Including Safety)
47
Outline
Why: Health & Health Information
What: Health IT in Hospitals
How: Hospital IT Management
48
Use of information and communications
technology (ICT) in health & healthcare
settings
Source: The Health Resources and Services Administration, Department of
Health and Human Service, USA
Slide adapted from: Dr. Boonchai Kijsanayotin
Health IT
49
Use of information and communications
technology (ICT) for health; Including• Treating patients
• Conducting research
• Educating the health workforce
• Tracking diseases
• Monitoring public health.
Sources: 1) WHO Global Observatory of eHealth (GOe) (www.who.int/goe)
2) World Health Assembly, 2005. Resolution WHA58.28
Slide adapted from: Mark Landry, WHO WPRO & Dr. Boonchai Kijsanayotin
eHealth
50
eHealth Health IT
Slide adapted from: Dr. Boonchai Kijsanayotin
eHealth & Health IT
51
Health
Information
Technology
Goal
Value-Add
Tools
Health IT: What’s in a Word?
52
Hospital Information System (HIS) Computerized Physician Order Entry (CPOE)
Electronic
Health
Records
(EHRs)
Picture Archiving and
Communication System
(PACS)
Various Forms of Health IT
53
m-Health
Health Information
Exchange (HIE)
Biosurveillance
Information Retrieval
Telemedicine &
Telehealth
Images from Apple Inc., Geekzone.co.nz, Google, PubMed.gov, and American Telecare, Inc.
Personal Health Records
(PHRs)
Health IT Beyond Hospitals
54
Ordering Transcription Dispensing Administration
CPOEAutomatic
Medication
Dispensing
Electronic
Medication
Administration
Records
(e-MAR)
Barcoded
Medication
Administration
Barcoded
Medication
Dispensing
Health IT for Medication Safety
55
Hospital A Hospital B
Clinic C
Government
Lab Patient at Home
Health Information Exchange
56WHO & ITU
Achieving Health Information Exchange (HIE)
57
Outline
Why: Health & Health Information
What:Health IT in Hospitals
How: Hospital IT Management
58Image Source: socialmediab2b.com
IBM’s Watson
59Image Source: englishmoviez.com
Rise of the Machines?
60
• CDS as a replacement or supplement of
clinicians?– The demise of the “Greek Oracle” model (Miller & Masarie, 1990)
The “Greek Oracle” Model
The “Fundamental Theorem” Model
Friedman (2009)
Wrong Assumption
Correct Assumption
Clinical Decision Support Systems (CDS)
61
Management Point #5:
Don’t Replace
Human Users.
Use ICT to Help Them
Perform Better.
62
Some Risks of Clinical Decision Support Systems
• Alert Fatigue
Unintended Consequences of Health IT
63
Workarounds
Unintended Consequences of Health IT
64
Management Point #6:
Health IT Also Have
Risks &
Unintended Consequences
65
Balanced Focus of Informatics
Technology
ProcessPeople
66
Management Point #7:
Balance Your Focus (People, Process, Technology)
67The sailboat image source: Uwe Kils via http://en.wikipedia.org/wiki/Sailing
The destination
The boatThe sailor(s) &
people on
board
The tailwind The headwind
The
direction
The speed
The past
journey
The sea
The sail
The current
location
IT & Organizational Context
68
Management Point #8:
Know Your Context &
Align IT with Context
69
“The Sail”
Carr (2004) Carr (2003)
IT as “The Sail”
70
Strategic
Operational
ClinicalAdministrativeCPOE
ADT
LIS
EHRs
CDSS
HIE
ERP
Business
Intelligence
VMI
PHRs
MPIWord
Processor
Social
Media
PACS
CRM
4 Quadrants of Hospital IT
71
Resources/capabilities
Valuable ?
Non-Substitutable?
Rare ?
Inimitable ?
NoCompetitive
Disadvantage
Yes
NoCompetitive
necessity
NoCompetitive
parity
Yes
Yes
No
Preemptive
advantage
Yes
Sustainable
competitive
advantage
From a teaching slide by Nelson F. Granados, 2006 at University of Minnesota Carlson School of Management
IT as a Strategic Advantage
72
Management Point #9:
Identify Your
Strategic IT Assets
73
People
Techno-logy
Process
“The Sailors"
74Ash et al. (2003)
The “Special People"
75Ash et al. (2003)
• Administrative Leadership Level
– CEO• Provides top
level support and vision
• Holds steadfast
• Connects with the staff
• Listens
• Champions
– CIO• Selects champions
• Gains support
• Possesses vision
• Maintains a thick skin
– CMIO• Interprets
• Possesses vision
• Maintains a thick skin
• Influences peers
• Supports the clinical support staff
• Champions
The “Special People"
76Ash et al. (2003)
• Clinical Leadership Level
– Champions• Necessary
• Hold steadfast
• Influence peers
• Understand other physicians
– Opinion leaders• Provide a balanced
view
• Influence peers
– Curmudgeons• “Skeptic who is
usually quite vocal in his or her disdain of the system”
• Provide feedback
• Furnish leadership
– Clinical advisory committees
• Solve problems
• Connect units
The “Special People"
77Ash et al. (2003)
• Bridger/Support level
– Trainers & support team• Necessary
• Provide help at the elbow
• Make changes
• Provide training
• Test the systems
– Skills• Possess clinical
backgrounds
• Gain skills on the job
• Show patience, tenacity, and assertiveness
The “Special People"
78
Management Point #10:
Manage Your
“Special People” Well
79
A True Story of Failure to
Involve Users in Hospital IT
Implementation
80
Management Point #11:
Involve Users Early &
Intensively in Your Process
81Image source: Jeremy Kemp via http://en.wikipedia.org/wiki/Hype_cycle
http://www.gartner.com/technology/research/methodologies/hype-cycle.jsp
Gartner Hype Cycle
82Rogers (2003)
Rogers’ Diffusion of Innovations:
Adoption Curve
83
Management Point #12:
Influence Your People’s
Behaviors through
Managing their
Expectations & Attitudes
84
• Communications of project plans & progresses
• Workflow considerations
• Management support of IT projects
• Common visions
• Shared commitment
• Multidisciplinary user involvement
• Project management
• Training
• Innovativeness
• Organizational learning
Theera-Ampornpunt (2009, 2011)
Success Factors of Hospital IT Adoption
85
Lorenzi & Riley
(2004)
Leviss (Editor)
(2010)
Resources on Change Management
86
• Healthcare is complex
• Health IT can benefit healthcare through
– Information delivery
– Process improvement
– Empowering providers & patients
• The world is moving toward health IT
• Management of hospital IT is crucial to success
– Balance of “People, Process & Technology”
– Know your organization (“context”)
– Strategic mindset
– Project & change management
Summary
87Image Source: http://www.flickr.com/photos/childrensalliance/3191862260/
Patients Are Counting on Us
88
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Contacts
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