Biomedical Informatics Applications for Asthma Care: A Systematic Review |
| |
| Affiliation: | 1. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA;2. Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA;3. Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, USA;4. Department of Preventive Medicine, The University of Tennessee Health Science Center, Memphis, TN, USA;5. National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, USA;6. Keck School of Medicine, University of Southern California, Los Angeles, CA, USA;7. Department of Medicine, Baylor College of Medicine, Houston, TX, USA;8. Department of Medicine, Division of General Internal Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA;9. Welch Center for Prevention, Epidemiology and Clinical Research, Baltimore, MD, USA;1. School of Management, QUT Business School, Queensland University of Technology, Brisbane, Australia;2. Learning and Teaching Unit, Queensland University of Technology, Brisbane, Australia |
| |
| 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. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
