title: Biomedical informatics applications for asthma care: a systematic review.
abstract: 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.
authors.affiliation: Dept. of Biomedical Informatics, Eskind Biomedical Library, Vanderbilt University Medical Center, 2209 Garland Ave, Nashville, TN 37232-8340, USA.
authors.forename: David L
authors.initials: DL
authors.lastname: Sanders
authors.forename: Dominik
authors.initials: D
authors.lastname: Aronsky
mesh_terms: D001249:Asthma / Q000175:diagnosis / Q000628:therapy; D003194:Computer-Assisted Instruction; D003658:Decision Making, Computer-Assisted; D006801:Humans; D008491:Medical Informatics Applications; D011446:Prospective Studies; D012107:Research Design