Sharing medical data vs. health knowledge in chronic illness care

2012. Aisling O'Kane & Helena Mentis
CHI EA '12: CHI '12 Extended Abstracts on Human Factors in Computing Systems.

Abstract

Chronic illnesses are becoming more prevalent worldwide breeding an interest in supporting patient care through electronic health information exchange. Through a study of diabetes patients and the specialists in their care network, the challenges involved in sharing health information from the two perspectives become apparent. There are opportunities in the design of electronic medical information exchange to support the patient's need for knowledge and specialist's need for data, bridging the gap that can lead to tensions and inefficiencies in the management of illness trajectories.

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Citation

O'Kane, A. A., & Mentis, H. (2012). Sharing medical data vs. health knowledge in chronic illness care. CHI '12 Extended Abstracts on Human Factors in Computing Systems (pp. 2417–2422). New York, NY, USA: Association for Computing Machinery. URL: https://doi.org/10.1145/2212776.2223812, doi:10.1145/2212776.2223812

BibTeX

@inproceedings{10.1145/2212776.2223812,
author = {O'Kane, Aisling Ann and Mentis, Helena},
title = {Sharing medical data vs. health knowledge in chronic illness care},
year = {2012},
isbn = {9781450310161},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2212776.2223812},
doi = {10.1145/2212776.2223812},
abstract = {Chronic illnesses are becoming more prevalent worldwide breeding an interest in supporting patient care through electronic health information exchange. Through a study of diabetes patients and the specialists in their care network, the challenges involved in sharing health information from the two perspectives become apparent. There are opportunities in the design of electronic medical information exchange to support the patient's need for knowledge and specialist's need for data, bridging the gap that can lead to tensions and inefficiencies in the management of illness trajectories.},
booktitle = {CHI '12 Extended Abstracts on Human Factors in Computing Systems},
pages = {2417–2422},
numpages = {6},
keywords = {self-care, medical data, illness trajectory, healthcare},
location = {Austin, Texas, USA},
series = {CHI EA '12}
}