title: Data model for personalized patient health guidelines: an exploratory study.
abstract: Practitioner guidelines simultaneously provide broad overviews and in-depth details of disease. Written for experts, they are difficult for patients to understand, yet patients often use these guidelines as a source of information to help them to learn about their health. Using practitioner guidelines along with patient information needs and preferences, we created a method to design an information model for providing patients access to their personal health information, linked to individualized, relevant supporting information from guidelines within a patient portal. This model consists of twelve classes of concepts. We manually reviewed and annotated medical records to demonstrate the validity of our model. Each class of the model was found within at least one patient's record, and seven classes of concepts appeared in over half of the patients' records annotated. These annotations show that the model produced by the method can be used to determine what guideline information is relevant to an individual patient, based on concepts in their health information.
authors.affiliation: Department of Bioengineering, University of California, Los Angeles.
authors.forename: Mary
authors.initials: M
authors.lastname: McNamara
authors.affiliation: David Geffen School of Medicine, University of California, Los Angeles.
authors.forename: Karthik
authors.initials: K
authors.lastname: Sarma
authors.affiliation: Department of Bioengineering, University of California, Los Angeles ; Medical Imaging Informatics, Department of Radiological Sciences, University of California, Los Angeles.
authors.forename: Denise R
authors.initials: DR
authors.lastname: Aberle
authors.affiliation: Department of Bioengineering, University of California, Los Angeles ; Medical Imaging Informatics, Department of Radiological Sciences, University of California, Los Angeles.
authors.forename: Alex A T
authors.initials: AA
authors.lastname: Bui
authors.affiliation: Department of Bioengineering, University of California, Los Angeles ; Medical Imaging Informatics, Department of Radiological Sciences, University of California, Los Angeles.
authors.forename: Corey
authors.initials: C
authors.lastname: Arnold
mesh_terms: D057286:Electronic Health Records; D055991:Health Records, Personal; D006801:Humans; D010353:Patient Education as Topic / Q000379:methods*; D017410:Practice Guidelines as Topic