1. Web as Medium for Patient Access to Electronic Health Information James J. Cimino, MD, Vimla L. Patel, PhD, Andre W. Kushniruk, PhD Columbia University and McGill University

2. Consumer Health Information Issues Understanding on-line health information Access to personal health records Regulatory requirements are coming Commercial sites for giving patients access to their data What will happen to the patient? What will happen to the patient-provider relationship?

3. The Patient Clinical Information System (PatCIS) New York Presbyterian Hospital clinical data repository Web-based Clinical Information System (WebCIS) National Information Infrastructure contract from NLM: –give patients WebCIS –see what happens Pilot study conducted

6. Data Entry Review Advice Education Comments Help Logout Vital SignsBlood Sugar Data Entry patcis.cgi Web Server Web Browser Session Registry Usage Log Internet 2 3 6 PatCIS Architecture 1 CGI 4 5

8. PatCIS Recruitment Mail physician consent forms to physicians Wait for physicians to suggest subjects Mail URL for consent form to subjects On-line enrollment Patient prints, signs and mails consent form Physician provides function-specific consent Mail user name, password and SecurID card to patients

9. Log File Analysis sandcar!Fri Oct 27 11:32:22 2000!cim.cpmc.columbia.edu! |patcis^login sandcar!Fri Oct 27 11:32:24 2000!cim.cpmc.columbia.edu! |patcis^Data Review sandcar!Fri Oct 27 11:32:28 2000!cim.cpmc.columbia.edu! |patcis^Data Review^Laboratory Detail^lab_detail.cgi sandcar!Fri Oct 27 11:32:30 2000!cim.cpmc.columbia.edu! |patcis^Data Review^Laboratory Detail^labSum.cgi sandcar!Fri Oct 27 11:32:35 2000!cim.cpmc.columbia.edu! |patcis^logout

10. Results Functions Enrollment System usage Function usage Adverse events

11. Functions Data entry: vital signs, diabetic flow sheet Data review: vital signs, diabetic flow sheet, laboratory, radiology, pathology, cardiology, discharge summaries, microbiology Education: geriatrics, diabetes, Home Medical Guide, advanced directives Advice: cholesterol, mammograms Infobuttons: body-mass index, laboratory, microbiology organisms, microbiology sensitivities, Pap smear

12. Enrollment Mailing to >200 physicians 13 physicians returned signed consent forms 19 subjects suggested 13 enrolled 12 used the system over 19 months 1 non-CPMC subject enrolled

13. System Usage 131log-on failures 22wrong user name 51wrong password 58wrong Secure ID 33log-ons without any activity 466active sessions (261 logged out) ----- 630log-ons

14. Log-Ons Failures by User

15. Active Log-Ons by User

16. Average Monthly Log-Ons

17. Average Session Time by User

18. Minutes per Month

19. Function Usage I Data review: 1831 total –1518 laboratory 737 “Laboratory” button  1083 specific reports 186 “Laboratory Details” button 249 summaries –36 vital signs –35 diabetes flow sheets –212 reports (81 radiology, 35 pathology) –30 Microbiology

20. Function Usage I Data review: 1831 total I Data entry: 73 total –34 vital signs –39 diabetes flow sheets Education: 53 total Advice: 6 total –5 cholesterol guideline –1 mammography guideline Other: –10 newsgroups –83 infobuttons –2 comments –10 e-mail to physician –17 disclaimers –13 help

21. Adverse Events None reported

22. Discussion Architecture supports integration, security and tracking Enrollment was disappointing Population was highly selected: by MD, by self, by Web Two patterns: monthly and daily Log-on difficulties overcome Laboratories are the most popular

23. Next Directions Diabetes mellitus patients –Data entry –Coordination with clinicians –Targeted educational materials HIV patients

24. Conclusion Enthusiasm is not universal Technical issues were not a problem for our patients Privacy is achievable Patient understanding of their records was good Other features were of less interest Patient-physician impact was positive

25. The Three Questions ?How will your results affect diffusion of telemedicine? Increase the “comfort level” Identify areas for focused efforts ?What aspects would benefit from other study? Security model Evaluation methods ?If you were proposing this project today, how and why would the approach differ? Build a patient’s view of the record Study doctor-patient-computer interactions directly