Literature DB >> 12463871

Correlating web usage of health information with patient medical data.

Bradley A Malin1.   

Abstract

The number of online websites providing health-related information to the general public increases daily. Yet, it is relatively unknown as to how individuals in the general population access information with respect to their own medical status. In this study, clickstream data from an online health information website is analyzed with respect to the user's health insurance claims. The relationships are assessed through the construction and study of intersecting sets of ICD-9 codes in visited web pages and claims made. Results demonstrate that approximately 15% of patients use health information on the web in exact agreement with their medical status. In addition, almost 40 codes were found to be indicative of temporal aspects in user behavior with respect to physician visits.

Entities:  

Mesh:

Year:  2002        PMID: 12463871      PMCID: PMC2244241     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN: 1531-605X


  4 in total

Review 1.  Consumer health information seeking on the Internet: the state of the art.

Authors:  R J Cline; K M Haynes
Journal:  Health Educ Res       Date:  2001-12

Review 2.  Examination of instruments used to rate quality of health information on the internet: chronicle of a voyage with an unclear destination.

Authors:  Anna Gagliardi; Alejandro R Jadad
Journal:  BMJ       Date:  2002-03-09

3.  Follow up of quality of public oriented health information on the world wide web: systematic re-evaluation.

Authors:  Chiara Pandolfini; Maurizio Bonati
Journal:  BMJ       Date:  2002-03-09

4.  Consumer health informatics: a consensus description and commentary from American Medical Informatics Association members.

Authors:  T K Houston; B L Chang; S Brown; R Kukafka
Journal:  Proc AMIA Symp       Date:  2001
  4 in total
  2 in total

1.  Learning relational policies from electronic health record access logs.

Authors:  Bradley Malin; Steve Nyemba; John Paulett
Journal:  J Biomed Inform       Date:  2011-01-26       Impact factor: 6.317

2.  Learning Clinical Workflows to Identify Subgroups of Heart Failure Patients.

Authors:  Chao Yan; You Chen; Bo Li; David Liebovitz; Bradley Malin
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.