Patient-Centered Computing: Are the patients ready? Are we? Patti Brennan, RN, PhD University of Wisconsin-Madison Preparation of these remarks was supported by grants from the Agency for Health Care Policy and Research, the National Library of Medicine,
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Patient-Centered Computing: Are the patients ready? Are we? Patti Brennan, RN, PhD University of Wisconsin-Madison Preparation of these remarks was supported.
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Patient-Centered Computing:Are the patients ready?
Are we?
Patti Brennan, RN, PhDUniversity of Wisconsin-Madison
Preparation of these remarks was supported by grants from the Agency for Health Care Policy and Research, the National Library of Medicine,
Intel Corporation and the Moehlman Bascom Professorship
Consumer Health Informatics
What it is, and what it is not!
Consumer Health Informatics:Delivering informative, relevantInformation directly to the individual
Consumer Health Informatics Innovations
• Patient Portals– PatCIS (CPMC)
– Patient Gateway (Partners)
– MyAurora.com (Aurora Health Systems)
• Health-related Web Sites• Remote sensing and monitoring• Device-based assessment & coaching (beepers,
telephones)• Planning analysis and decision support tools
CHI version 1.0
“Push” information into the lives of patients
CHI version 2.0
Information, communication &companionship
Critical Questions
1. How does consumer health information facilitate and/or interfere with the clinical health care process?
2. Are informatics professionals adequately trained in the patient perspective or is systems development training overly grounded in the provider perspective?
How does consumer health information facilitate and/or interfere with
the clinical health care process?
First, one must define the
clinical care process
How does consumer health information facilitate and/or interfere with the clinical
health care process?
The view from the industry:
When and where doeshealth care happen?
The Patient’s view
The Contexts of Care• Living Environment
– Homes– Communities
• Social Environments– Families– Cultural Groups
• Psychological Environments– Illness representations– Human Information Processing