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EHealth: An International Perspective

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Title: EHealth: An International Perspective


1
E-Health An International Perspective
  • Don E. Detmer, MD, MA, FACMI
  • President CEO
  • American Medical Informatics Association
  • Professor of Medical Education, University of
    Virginia
  • 1 November 2005
  • Dunblane, Scotland

2

American Medical Informatics Association

http//www.amia.org
3
What is E-Health?
Any all aspects of the use of computers
telecommunications technology, especially the
Internet, for health purposes. (36 definitions
in literature) Pagliari C, Sloan D, Gregor P,
Sullivan F, Detmer DE, Kahan JP, Oortwin W,
McGillivray S What is eHealth (4) A Scoping
Exercise to Map the Field. JMIR 2005 (Mar31)
7(1)e9. see http//www.jmir.org/2005/1/e9/
4
What is E-Health?
e-health is an emerging field of medical
informatics, referring to the organization and
delivery of health services and information using
the Internet and related technologies. In a
broader sense, the term characterizes not only a
technical development, but also a new way of
working, an attitude, and a commitment for
networked, global thinking, to improve health
care locally, regionally, and worldwide by using
information and communication technology.
(adapted from Eysenbach) Eysenbach G.
What is e-health? J Med Internet Res 2001 Jun
183(2)e20. FREE Full text Medline
CrossRef
5
Key Markers of Success
  • Health status - individual collective -
    measurably improves over time
  • Economically successful companies products
  • Citizens actively assume responsibility for their
    own health data
  • Continued access to person-specific data for
    research improvement

6
Global Status Today
  • e-Health in nations regions around the world
    varies greatly.
  • In general, health applications lag well behind
    developments in air travel, banking, e-commerce,
    entertainment, defense, finance.

7
disruptive technologies business models
may threaten the status quo but will ultimately
raise the quality of health care for everyone.
  • Christensen, Bohmer, Kenagy Harvard Business
    Review
  • Sept-Oct 2000

8
Simon Says (Herbert A. that is)
  • What information consumes is rather obvious it
    consumes the attention of its recipients. Hence a
    wealth of information creates a poverty of
    attention, and a need to allocate that attention
    efficiently among the overabundance of
    information sources that might consume it.

9
Disruptive Technologies
  • Examples
  • Bioinformatics genomics / proteomics /
    pharmacogenomics new tests medications
  • Bioengineering minaturization
  • Knowledge Management Clinical Informatics
    e-Healthcare decision support at time point
    of care

10
Do You Like Science Fiction? Go for the real
thing. Subscribe to Nature or Science Magazine
  • Dont be blue about your genes.
  • Genes Disease
  • Gene Fusion Prostate Cancer
  • New Haplotype Map May Overhaul Gene Hunting
  • Jennifer Couzin
  • Science vol. 350, October 2005

11
Growth of Medical Knowledge
  • 400,000 new articles per year added to MedLine.

12
AMIAs Definition What is e-Health? v.4
  • e-Health is the use of information technology to
    transform health through health care systems that
    are equitable, safe, effective, efficient,
    patient-centred, timely, equitable.
  • - IOM, Crossing the Quality Chasm, 2002
    (http//www.nap.edu)

13
NHII Goals Australia, Canada, New Zealand, UK,
USA
  • Patient safety must be assured quality of
    services must be improved.
  • Population health, primary care, chronic
    disease management capabilities are pivotal.
  • A robust information infrastructure that enables
    connectivity among providers is essential.
  • The health system electronic patient records
    must be patient-centered support patient
    empowerment while maintaining patient privacy.

14
Current Status of E-Health
  • What it is today.
  • Mostly non-interactive websites
  • Some interactive sites
  • Some research sites
  • Viable E-health applications
  • What it is not today.
  • Globally available
  • Supported by a robust infrastructure
  • Just-in-time
  • Just-for-me
  • Standardized
  • Culturally fit

15
Health IT DeploymentEurope v. U.S.A.
  • Primary Care Dominates
  • Planning Central Deliberative
  • Focus on patient education
  • Systems Dominate
  • Planning Central, Peripheral Dynamic
  • Focus on patient involvement

16
The New Reality We must work smarter.
  • Aging Populations
  • Chronic Illness
  • Rising Threats to General Population
  • Weather
  • Bioterrorism
  • Global Infectious Disease
  • Healthcare Costs are expanding.
  • National Budgets are finite.
  • Genomic Science must help.
  • Health IT must help.
  • Preserve Health.

17
IOM Reports1999 and 2001http//nap.eduwww.nap.e
du

18
Quality of Care
  • The current system of care delivers accurate care
    54.9 of the time.
  • U.S. Data 2000-2001
  • McGlynn, Elizabeth, RAND
  • NEJM, 2003

19
Voltage Drops from Clinical Problems to Best
Outcomes
  • Inaccessible care rationing, no service
    orientation
  • Mistaken diagnosis errors of cognition, etc.
  • Knowledge management issues -
  • Ignorance right diagnosis but dont know what to
    do and nobody else does either science is weak
  • Stupidity nobody knows but we think we do
  • Poor prognostic information assessment
  • Poor execution of care
  • interrupted, tired, too busy to look for
    answer, no system support, marginally skilled,
    bad apple, poor education of patient,)

20
Health Care Delivery Systems are in Need of
Fundamental Change.
  • The current care systems cannot do the job.
    Trying harder will not work. What will is
    changing systems of care, knowledge management,
  • appropriate computer-based health records with
    decision support.

21
Some Big Complex Issues
  • Computing meets Biology Care
  • Quality Safety - Chasms to Cross
  • Information Knowledge Explosion
  • Rising Consumerism Accountability
  • Chronic Illness Aging
  • Human Rights Movement as a Secular Religion
    eroding Social Trust

22
The Organisational Climb to Quality, Safety
Excellence
  • Paper Records Natl Service Frameworks
  • Letting it happen
  • Helping it happen
  • Computer-based Health/Medical Records Process
    Redesign
  • Making it happen
  • Fool-proofing
  • Evidence-based Adaptive Decision Support
  • Just in time
  • Just for me

23
Complex Adaptive SystemsBirds, Herds, Schools
  • Observe three simple rules
  • Move to the center of the group.
  • Keep up with the group.
  • Dont hit anyone.

24
Six Rules for Health Care Delivery System
  • Safe
  • Effective
  • Patient-Centered
  • Timely
  • Efficient
  • Equitable
  • IOMCrossing the Quality Chasm, 2001

25
Leading Change in Complex Adaptive Systems
  • Set simple rules minimum specifications
  • Create conditions for system to evolve over time
  • Create space for creativity local actions
    within the system
  • Self-organisation

26
Life in the Complexity Zone
Chaotic
Complex
Simple
27

PERSONAL Records Consumer e-health records
Infostructure Knowledge, Communications IT
First-class Health Care
PATIENT Records Clinic Hospital Records
PUBLIC HEALTH/ POPULATION Records Community
Records Data Banks Repositories
Interlocking computer-based health records
(C3PRs) supported by knowledge IT infrastructure
28
Digital Divide
  • 93 of Physicians report computer at work
  • 25 get email from patients
  • 21 send email to patients
  • 17 report using EHR
  • Survey family physicians School of Public
    Communications Syracuse University July 2000
  • 25 of online consumers say email usewould
    influence their choice of a doctor
  • Delbanco T and Sands DZ NEJM April 2004

29
Difficulties Inherent in the Perspectives
Theories of Medical Work
  • Current Clinical Systems are designed to be
  • Objective
  • Rationalize
  • Linear
  • Normalize
  • Solitary
  • Single minded
  • Clinical Work is fundamentally
  • Interpretative
  • Multitasking
  • Collaborative
  • Distributed
  • Opportunistic
  • Reactive
  • Interrupted frequently
  • Wears RL, Berg M, Computer Technology and
    Clinical Work Still Waiting for Godot
    JAMA. 20052931261-1263.

30
PHRs ePHRs Emerging to Support Chronic Disease
Management
  • Scotland Renal Patient View (www.renalpatientview
    .org)
  • UK Diabetes UK is exploring migration of
    paper-based patient held-summary sheet to ePHR
  • New Zealand Commercial ePHR, Doctor Global
    enables remote tracking evaluation of health
    conditions over time (e.g., asthma, cholesterol,
    diabetes www.doctorglobal.com)
  • Australia My Health Record is a paper-based
    record for patients with chronic illness in New
    South Wales
  • Canada ePHR being developed for diabetes
    management in New Brunswick (National Research
    Council Institute for Information Technology)

31
Assured Process Improves Outcomes and Reduces
Costs
  • Prevention is preferred to detection
  • The patient is central
  • Focus on the system and not the individual
  • Variation in clinical practices is endemic
  • Quality can be constantly improved
  • - Reed Gardner, 1995.

32
Evidence-Based Adaptive Decision-Support Systems
  • Evidence-based
  • Locally generated from literature
  • Decision-support systems/templates with
    just-in-time knowledge service at point of
    care
  • Adaptive continuously studied improved
    against care delivered patients outcomes
  • - Sim, Gorman, Greenes et al, JAMIA 2001

33
Evidence-Based Adaptive Decision-Support Systems
Clinical
  • Alert high or low lab values
  • Assist tailoring antibiotic choices
  • Calculate Suggest adjusting mechanical
    ventilator
  • Critique rejecting an order
  • Diagnose dx in clinical practice
  • Interpret ECG
  • Predict risk of mortality with severity score
  • Remind give jab
  • Structure thinking
  • Randolph et al JAMA 1999, from
  • Pryor, 1990

34
An Expanding View of Healthcare IT
Future Marketplace
Patient Safety
Clinical Trials
Consolidation
Electronic Health Record
Public Health
  • Current Marketplace
  • Fragmented
  • Replacement
  • Hospital-Centric

PersonalHealthRecords
communicate participate collaborate explore
learn
Patient-Centric
Family-Centric
National security
Health Record Banks
Interoperable
Genomic Data
Consumer Oriented
Source Safran 2005
35
Why Engage Patients Informal Caregivers?
The Benefits of the Informed Patient
  • Better informed patients are
  • Less anxious
  • Treatment starts earlier
  • Follow advice better, esp. chronic illness
    management
  • Lower risk interventions are selected
  • Healthcare costs drop through more
    self-management a more efficient use of
    resources
  • More satisfied litigate less
  • Detmer, Singleton et al- The Informed Patient
    Report I - 2003

36
Fractured Patient Experiences
  • Communications
  • Erratic, Inconsistent, Obtuse, or Absent
  • Information not layered to meet needs
  • Issues of Trust Dignity
  • Proven Uses of Technology e-Learning Not
    Exploited

Ending the Document Game Report of the
Commission on Systemic Interoperability. US Gov.
Printing Office, 2005
37
e-Healthcare Models
  • Web-based Education/Support
  • One Way, Two Way, Chat / Support Groups
  • E-mail only
  • Internet Mediated Integrated Care (Clicks
    Mortar)
  • Appointment scheduling
  • Access to Electronic Medical Record
  • Monitoring
  • Verbal
  • Device
  • Prescription refills
  • Consultation support
  • Formal Decision Support

38
SUSTAINS (Supports Users To Access Information
Services)
  • Provides users with access to their own medical
    records through the Internet in Uppsala Sweden
  • One-time passwords distributed through cell
    phones
  • Provides access to data from hospital information
    system, laboratory database, GP medical records

39
Lessons from SUSTAINS
  • Less complex technical environment is better for
    users
  • Patients were most interested in seeing their
    medical records, booking visits, communicating
    with health care providers, viewing prescription
    lists, reading fees
  • Most users were not concerned about security
    risks
  • Appears to have increased confidence trust in
    physicians
  • Eklund B and Joustra-Enquist I. 2004. SUSTAINS
    Direct access for the patients to the medical
    record over the Internet. In E-Health Current
    Situation and Examples of Implemented and
    Beneficial E-Health Applications, I Iakovidis, P
    Wilson and JC Healy, eds. Amsterdam IOS Press.

40
Requirements for Robust e-PHRs
  • System
  • IT Infrastructure (e.g., Unique patient
    identifier)
  • Health Care Provider Willingness to Interact w/
    patients through ePHRs
  • Funding Mechanism
  • Citizens
  • Health Literacy
  • Computer Literacy
  • Access to Technology

41
Current Use of PHR
  • Modest use of paper health records (40)
  • Extremely low use of electronic personal health
    records (2-5)
  • High percentage think they should

2004 Harris Interactive Inc.
Courtesy of Safran 2005
42
What Do US Patients Say They Want?
  • Over 70 percent of respondents would use one or
    more features of the PHR
  • Email my doctor 75 percent
  • Track immunizations 69 percent
  • Note mistakes in my record 69 percent
  • Transfer information to new doctors 65 percent
  • Get track my test results 63
    percent
  • Almost two-thirds (65 percent) of people with
    chronic illness say they would use at least one
    of the PHR features today, compared with 58
    percent of those without chronic illness.

Source Connecting for Health and FACCT,
random-digit dialing telephone survey of 1,750
adults, May 2004
43
Patient Interaction
  • Collect Information
  • Symptom diaries
  • Administrative Tasks
  • Scheduling
  • Rx Refills
  • Referrals
  • Clinical Tasks
  • Medication Refills
  • Education
  • Self-care
  • Drug Interactions
  • Reminders
  • Preventive Health
  • Communication
  • Secure email
  • Explanation of Benefits

44
Data the PHR
  • Two types of data
  • Patient entered Information provided directly by
    the patient or caregiver.
  • Professionally entered Information provided by
    entities involved in the delivery of or
    reimbursement for care (e.g., clinicians,
    pharmacies and pharmacy benefit managers,
    insurance companies).
  • Challenges
  • Applications that rely solely on patient-entered
    data have not proven to be attractive to large
    numbers of users or economically viable to
    vendors.
  • Applications that attempt to exchange
    professionally entered data face the challenge of
    disparate, non-standardized often reluctant
    institutional sources.

Source Safran 2005
45
  • Mail
  • Secure
  • Automated routing
  • Task assignment
  • Services
  • Prescription refills
  • Appointment requests
  • Referrals
  • View bill
  • Records
  • Secure
  • All CG records
  • Upcoming appointments
  • Meds/Problems/Results
  • Personal records
  • Education
  • Info prescriptions
  • Patient selected links
  • Predefined collections
  • Videos

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Adherence Improved
  • Connecticut iHealthRecord Adherence Service
    Clinical Trial
  • 100 Patient Study Group vs Control Statins
    Antidepressants
  • 6 Month Results Study is Ongoing
  • 2/3 believe that the Adherence messages from
    their doctor help them better understand their
    medication better manage their condition.
  • 95 found the Adherence Service easy to use
    agree that the service could be an important
    part of helping busy doctors provide extra care
    and information to patients.
  • 40 Reduction in medication drop-off (6 Study
    Group vs 10.5 Control) based upon initial payor
    claims data
  • The study will continue expand to three
    locations move to thousands of patients with
    the launch of the iHealthRecord

55
Issues with PHR
  • Security Privacy
  • Health Literacy
  • Workflow
  • Costs ROI
  • Marketing
  • Operations
  • Passwords Support
  • Service Level Expectations
  • Patient Entered Data
  • Liability

56
Patient Control of Information
57
Lessons from Early Adopters
  • Clinicians
  • Physician promotion is key to getting high
    consumer adoption in most places.
  • Physician acceptance requires large up-front
    efforts to gain buy-in.
  • If PHR is viewed as beneficial only to patients,
    its hard to get physician support.
  • PHR is not likely to be incorporated into
    clinical workflow without addressing EHR
    integration.

58
Lessons from Early Adopters
  • Patients
  • Patient-provider secure messaging, online
    refills, lab results, medication lists, disease
    management plans are particularly useful.
  • Patient-provider messaging wins over an
    enthusiastic subset of both patients doctors,
    does not overwhelm the inbox of doctors.
  • Patients feel more empowered when they have
    access to their office chart information, many
    early physician adopters find that helpful.
  • People with chronic conditions are most likely to
    need use PHR-type applications.

59
Rules Tools of e-Mail Communications with
Patients
  • Patient has access 24/7/365
  • Rules of Engagement
  • Assume 36 hours turnaround for reply
  • Doctors team sees record
  • Dont e-mail for help with serious acute problems
  • Must offer training as needed
  • Written Informed Consent
  • Secure systems for transmission

60
General Procedures for Staff
  • Maintain as a Formal System
  • Inform Patient Document Their Acceptance
  • Recognize as formal communication with patient
  • Confidential
  • Part of formal record
  • Triage respond with FAQs as appropriate

61
Biggest Problems
  • Not saved in patients medical record
  • Not following procedures
  • More likely to be on staff than patient side
  • Inappropriate use for type of message
  • (Payment)
  • (Poor computer skills)
  • (Liability risks are low patients like it)

62
Efficiency
  • 71 MDs spend 5 minutes/msg
  • May partially offset phone calls
  • Modest volume of messages
  • lt 1 per day per 100 pts (BIDMC)
  • Only 9.5 patients use it

Source Manhattan Research Taking the Pulse 5.0
63
From Patient Satisfaction to Trust
  • Replaces many phone calls
  • Most questions are reasonable answerable by
    nurses or other staff
  • Patients only rarely abuse system
  • Patient need training education to use it
    properly
  • Security Confidentiality manageable

64
Why Use It?
  • Improve
  • Communication
  • Patient education
  • Patient satisfaction
  • Efficiency
  • Enable time shifting
  • Reduce telephone time costs?
  • /- Provide competitive advantage
  • Possible new revenue stream
  • More evaluation research is needed.

65
Conclusions
  • Useful for clinical communication
  • Improved Efficiency
  • Reduces telephone tag
  • Allows Staff to respond to some calls
  • Appropriate use essential
  • Complementary to other forms of communication
  • Practical policies important

66
N Engl J Med 35017 Apr 22, 2004
67
Elements of Successful ePHR Implementation
  • National patient identifiers or defined approach
    to authentication
  • Strong infrastructure (e.g., standards, privacy
    framework technical support)
  • Sound funding strategy
  • Buy-in by health care professionals

68
Warning Stand-alone ePHRs May Be Insufficient
  • The Markle Foundations Connecting for Health
    concluded that disease management applications
    that encouraged patients to enter very detailed
    information pertaining to a single chronic
    condition may provide some immediate benefit to
    users, but simply offering people a means of
    recording information on a daily basis does not
    make them better managers of their health or
    health care. Without a clinician at the other
    end of the application continually providing
    advice, making modifications to prescriptions or
    otherwise providing them with some ideas to help
    better manage their condition these systems were
    doomed to fail.
  • Connecting for Health (Markle Foundation). 2004.
    Connecting Americans to their Healthcare. Final
    Report of the Working Group on Policies for
    Electronic Information Sharing Between Doctors
    and Patients. www.connectingforhealth.org.

69
Ten by Ten,
  • A Beginning
  • Train 10,000 health care professionals in applied
    health and medical informatics by the year 2010.
  • A goal of the American Medical Informatics
    Association in partnership with Oregon Health
    Science University (OHSU) and other participating
    informatics training programs.

70
On-line Curriculum
  • Overview of Discipline and Its History
  • Biomedical Computing
  • Electronic Health Records and Health Information
    Exchange
  • Decision Support Evolution and Current
    Approaches
  • Standards Privacy, Confidentiality, and Security
  • Evidence-Based Medicine and Medical
    Decision-Making
  • Information Retrieval and Digital Libraries
  • Bioinformatics
  • Imaging Informatics and Telemedicine
  • Other Informatics Consumer Health, Public
    Health, and Nursing
  • Organization and Management Issues in Informatics
  • Career and Professional Development

On-line modules followed by an intensive
in-person sessions led by experienced leaders in
the field.
71
  • Major New Initiatives

72
Additional References
  • Berner ES, Detmer ED, Simborg D.Will the wave
    finally break? A brief view of the adoption of
    electronic medical records in the United States.
    J Am Med Inform Assoc. 2005 January-February12(1)
    3-7.
  • Detmer DE Singleton P Policy for Informed
    Patients A European Perspective. Harvard Health
    Policy Review, 2004 Spring5(1)81-88.
  • Yasnoff WA, Humphreys BL, Overhage JM, Detmer DE,
    Brennan PF, Morris RW, Middleton B, Bates DW,
    Fanning JP.A consensus action agenda for
    achieving the national health information
    infrastructure.J Am Med Inform Assoc. 2004
    Jul-Aug11(4)332-8.
  • Detmer DE. Building the national health
    information infrastructure for personal health,
    health care services, public health, and
    research.BMC Med Inform Decis Mak. 2003 Jan
    063(1)1.
  • Detmer DE. A new health system and its quality
    agenda.Front Health Serv Manage. 2001
    Fall18(1)3-30. Erratum in Front Health Serv
    Manage 2001 Winter18(2)42.
  • Detmer DE. Information technology for quality
    health care a summary of United Kingdom and
    United States experiences.Qual Health Care. 2000
    Sep9(3)181-9.
  • Detmer DE.Your privacy or your health--will
    medical privacy legislation stop quality health
    care?Int J Qual Health Care. 2000 Feb12(1)1-3
  • Commission on Systemic Interoperability Ending
    the Document Game. USGovPrinting Office 2005 see
    Ending the Document Game.Gov
  • Detmer DE, Steen EB The Academic Health Center
    Leadership and Performance. Cambridge University
    Press. 2005

73
Use with permission of
  • Don E. Detmer, MD, MA
  • detmer_at_amia.org or detmer_at_virginia.edu
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