Biomedical Informatics Applications for Asthma Care: A Systematic Review
Author(s) -
David L. Sanders,
Dominik Aronsky
Publication year - 2006
Publication title -
journal of the american medical informatics association
Language(s) - English
Resource type - Journals
eISSN - 1527-974X
pISSN - 1067-5027
DOI - 10.1197/jamia.m2039
Subject(s) - medicine , asthma , emergency department , informatics , clinical trial , medline , health informatics , health care , systematic review , prospective cohort study , intensive care medicine , public health , nursing , electrical engineering , political science , law , engineering , economics , economic growth
Asthma is a common condition associated with significant patient morbidity and health care costs. Although widely accepted evidence-based guidelines for asthma management exist, unnecessary variation in patient care remains. Application of biomedical informatics techniques is one potential way to improve care for asthmatic patients. We performed a systematic literature review to identify computerized applications for clinical asthma care. Studies were evaluated for their clinical domain, developmental stage and study design. Additionally, prospective trials were identified and analyzed for potential study biases, study effects, and clinical study characteristics. Sixty-four papers were selected for review. Publications described asthma detection or diagnosis (18 papers), asthma monitoring or prevention (13 papers), patient education (13 papers), and asthma guidelines or therapy (20 papers). The majority of publications described projects in early stages of development or with non-prospective study designs. Twenty-one prospective trials were identified, which evaluated both clinical and non-clinical impacts on patient care. Most studies took place in the outpatient clinic environment, with minimal study of the emergency department or inpatient settings. Few studies demonstrated evidence of computerized applications improving clinical outcomes. Further research is needed to prospectively evaluate the impact of using biomedical informatics to improve care of asthmatic patients.
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