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Systems and Methods for Patient-Centered e-Health Services

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Systems and Methods for Patient-Centered e-Health Services Chris Lau Ph.D. Final Examination August 14, 2003 Patient-Centered e-Health Purpose Improve productivity ... – PowerPoint PPT presentation

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Title: Systems and Methods for Patient-Centered e-Health Services


1
Systems and Methods forPatient-Centered e-Health
Services
  • Chris Lau
  • Ph.D. Final Examination
  • August 14, 2003

2
Patient-Centered e-Health
  • Purpose
  • Improve productivity and efficiency in health
    care
  • Improve quality of care and patient outcomes
  • Current status
  • Content deliverypatient education, information
    about services offered by clinics and medical
    centers
  • Appointment scheduling
  • E-mail with provider
  • Emerging applicationsdelivery of care
  • Personal health knowledge management systems
    (PHKMS)
  • Referrals
  • Home monitoring

3
Presentation Outline
  • Home monitoring with asynchronous video a
    feasibility study
  • A platform for building e-health applications
  • Personal health knowledge management system
    applied to referral management
  • Diabetic foot care monitoring
  • Conclusion

4
Telemedicine and Home Health Care
  • Home health care (nursing, rehabilitation, social
    services)
  • of patients increased 54 from 1992-1994, 7.2
    million in 1996
  • Costs increased 400 from 1992-1997
  • Telemedicine for home health
  • Goal improve clinical outcomes and reduce costs
    (visits)
  • Home nursing for congestive heart failure,
    chronic obstructive pulmonary disease, diabetes,
    cancer, wound care
  • Reduced cost in home nursing (Johnston, 2000 and
    Dansky, 2001)
  • Synchronous videoconferencing with custom
    equipment

5
E-Medicine
  • Asynchronous web-based telemedicine
  • Combination of patient-provider messaging,
    web-accessible medical records, and patient
    monitoring at home
  • Characteristics
  • Just-in-time access
  • Geographic neutrality and economy
  • Medical recording and service documentation

6
Feasibility Study
  • Total shoulder replacement arthroplasty
  • Helps restore comfort and function to shoulders
    damaged by degenerative joint disease,
    osteoarthritis, or rheumatoid arthritis
  • Patients learn to do their own physical therapy
    and are discharged about three days after surgery

7
E-Medicine for Post-Operative Monitoring
  • Patients can use the E-Medicine website to
  • Review treatment plans
  • Send status reports to doctors with video
  • Send questions to doctors, optionally with video
  • File health status surveys to track how surgery
    is affecting everyday activities

8
Patients Video Recording Interface
9
Physicians Status Report Review Page
10
Feasibility Study Conclusions
  • 6 patients with a wide range of prior computing
    experience successfully used the system
  • System useful for patients with questions (e.g.,
    Would it be okay if I? or Is it normal
    that?)
  • Interoperability with other systems desirable
    (e.g., EMRs)
  • Permanent storage area for patient-generated data
    needed
  • Next steps
  • Refine feasibility study system into a platform
    that can support e-health applications
  • Implement new applications and evaluate their
    effectiveness

11
E-Medicine Platform Features
  • Secure messaging between patients and providers
  • Interface for implementing data collection
    instruments
  • Rapid development of new applications
  • Interoperability
  • HIPAA security requirements

12
E-Medicine Architecture
13
Personal Health Knowledge Management
  • Personal health knowledge management systems
    (KMS)
  • Web-based patient-owned repository for all of an
    individuals medical information
  • Problems addressed
  • Patients medical records scattered across points
    of care
  • No place in traditional EMR to store
    patient-generated information
  • Prior work
  • Implementations focused on use in emergency and
    travel
  • Evaluations compared personal health KMS features
    against EMR features (Schneider, 2001 and Kim,
    2002)

14
PHIMS
  • Personal Health Information Management System

15
FARMS
  • Referralrequest to see a specialist for a
    problem beyond the experience of patients
    current provider
  • Prior electronic referral systems
  • Enable providers to request referrals with
    patient information in EMR (Sittig, 1999 and
    Murphy, 1998)
  • Facilitated Accurate Referral Management System
    (FARMS) linked with PHIMS
  • Contains information not just from a single
    provider
  • Allows patients to request referrals
    electronically
  • Patients can maintain a permanent record of their
    consultations

16
Referral Procedure with FARMS
Patient providesmedical history and problem
information
Patient establishesPHIMS account
FARMS checks forrecords required tomake
referral request
FARMS directsreferral toappropriate provider
Provider evaluates referral request
Scheduleconsultation?
No
Yes
Suggest alternativetreatment and/orredirect to
another provider
Appointment
17
System Architecture
18
Study Overview
  • Deployed into an orthopaedics surgical clinic to
    evaluate usability and clinical utility of PHIMS
    and FARMS for managing self-referrals
  • Procedure
  • Patients recruited through UW Dept. of
    Orthopaedics web site
  • Patients fill out essential parts of PHIMS for
    referral request and share with clinic staff
    (PCCpatient care coordinator)
  • Patients asked to completerest of PHIMS before
    theappointment
  • Specialist reviews patientsinformation in PHIMS
    beforeand/or during appointment
  • Patients asked to fill out survey2 weeks after
    initial contact

19
Dept. of Orthopaedics Arthritis Source
20
PHIMS Health Problem Entry
21
Referral Review
22
Referral Management
23
PHIMS Message
24
PHIMS Allergies
25
Subject Demographics
  • Study period December 2002-July 2003
  • 61 patients, 5 specialists
  • 10 times more visitors tostudy recruiting web
    page

3 patients outside of the US
26
Usage
27
Survey Response
32 respondents, 85 satisfied with usability, 94
with online referral experience
28
Patient Comments
29
Provider Comments
  • Physician acceptance
  • Physicians satisfied with completeness of PHIMS
    and found it to improve the usage of time during
    visits
  • Usefulness of patient-entered information
  • PHIMS data gives physicians a unique baseline
    assessment of patients in their own words
  • Nowhere else is this type of information captured
    for later comparison on effectiveness of
    treatment
  • PCC acceptance
  • PCCs felt messaging system resolved the problem
    of telephone tag
  • Workflow-oriented design of interface allows them
    to prioritize patients and efficiently respond to
    each request
  • Physician request image and video uploads

30
Image and Video Uploads
31
Conclusion
  • Patient health knowledge management system built
    on top of the E-Medicine platform
  • Applied to referral management in a surgical
    clinic
  • Improved efficiency for patients, PCCs, and
    physicians
  • System found to be user friendly, convenient, and
    able to facilitate patient-provider
    communications
  • Extensible to include surveys, photos, videos,
    and other data types
  • Limitation
  • Work on standards and universal identifiers for
    all parties needed to enable more automatic
    consolidation of patients medical records

32
Diabetes Foot Care Monitoring
  • Background peripheral neuropathy
  • Loss of pressure and pain sensations
  • Affects gt30 of diabetics
  • Most common complication foot ulcers in 5-10 of
    diabetics, up to 3 will require lower limb
    amputation
  • Diagnosis requires physical exam, but general
    foot care can be monitored using digital
    photographs
  • Monitoring with E-Medicine
  • Digital camera photo upload to E-Medicine using
    web browser plug-in
  • Image quality evaluated at a diabetes clinic
  • Home test conducted with patient from diabetes
    self-management project

33
Integration with Diabetes Self Management
  • Patients issued a UW NetID and SecurID hardware
    token
  • Pubcookie single sign-on authentication allows
    users to access any application inside the box

34
Diabetes Foot Care Application
35
Foot Examination User Interface (1/3)
36
Foot Examination User Interface (2/3)
37
Foot Examination User Interface (3/3)
38
Results
  • Photographs examined by endocrinologist
    specializing in diabetes care
  • Calluses, fissures, corns, warts, ulcers, and
    fungus

39
Fungus
40
Summary
Clinic and patient correspond
Patient requests referral
Appointment(s)
Intervention follow-up
Orthopaedic surgery
E-Medicine
Chronic disease management
Monitoring and intervention follow-up
Time
41
Unified E-Medicine Architecture
42
Conclusion
  • Low cost asynchronous telemedicine system
    implemented using commercial off-the-shelf
    components
  • Utility shown in post-operative monitoring
  • Both patients and surgeons appreciated the
    ability to communicate between clinic visits in a
    mode richer and more convenient than telephone
  • Post-operative monitoring application transformed
    into a modular platform for building e-health
    applications
  • Personal health knowledge management system
  • Applied to referral management
  • Patients and providers reported enhanced quality
    of communications
  • Unique storage area where patients can record
    health status in their own words
  • Home monitoring of diabetic foot care

43
Future Directions
  • Clinical
  • Outcome measurements for diabetic foot care
  • Long-term effects of PHIMS on quality of care
  • Technical
  • Use of PHIMS in a public key infrastructure
  • Patient-targeted decision support tools built on
    PHIMS

44
Acknowledgements
  • Committee Yongmin Kim, Rick Matsen, Bill Lober,
    Ceci Giachelli, Buddy Ratner, Scott Eberhardt
  • E-Medicine Hugh Chang, Maisie Wang, Justine Liu,
    Janice Kim, Mark Wilson, Judy Gattinella
  • Clinical Sean Churchill, Irl Hirsch, Harold
    Goldberg, Seth Leopold, Paulette Gayton, Suzi
    Hughes
  • PETTT Scott Macklin, Aaron Louie, Kristen
    Shuyler
  • ICSL All current and former members and in
    particular Sayan Pathak, Jim Cabral, Niko
    Pagoulatos, Ravi Managuli, Chris Chung,
    Eung-Hun Kim

45
EMedicineLib Examples
HealthRecord
OwningUserEditingUserEditingDate
Control
Render()
Load()Save()CheckReadPerm()CheckWritePerm()
MediaDisplayControl
Attachment Render()

MessageAttachment
MessageAttachmentFactory
NamePath Render()
creates
CreateAttachment()
HAQAttachment
FileAttachment
Render()
GetPath()
PhotoAttachment
VideoAttachment
Render()
Render()
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