A review of analytics and clinical informatics in health care
Abstract
Federal investment in health information technology has incentivized the adoption of electronic health record systems by physicians and health care organizations; the result has been a massive rise in the collection of patient data in electronic form (i.e. "Big Data"). Health care systems have leveraged Big Data for quality and performance improvements using analytics-the systematic use of data combined with quantitative as well as qualitative analysis to make decisions. Analytics have been utilized in various aspects of health care including predictive risk assessment, clinical decision support, home health monitoring, finance, and resource allocation. Visual analytics is one example of an analytics technique with an array of health care and research applications that are well described in the literature. The proliferation of Big Data and analytics in health care has spawned a growing demand for clinical informatics professionals who can bridge the gap between the medical and information sciences.
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Institutions have implemented various dashboards that organize and present information from the EHR in a way that is easy to interpret.
“Similarly, to facilitate alert evaluations, institutions have implemented various dashboards that organize and present information from the EHR in a way that is easy to interpret.29–34”
From Clinician collaboration to improve clinical decision support: the Clickbusters initiative (2022) · cites this paper as [29]
Cites
Banaee, H., Ahmed, M., & Loutfi, A. (2013) · Sensors · doi:10.3390/s131217472 · Cited by 452 · see citing works
Smart health monitoring systems: An overview of design and modeling
Baig, M. M., & Gholamhosseini, H. (2013) · Journal of Medical Systems · doi:10.1007/s10916-012-9898-z · Cited by 396 · see citing works
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Interpretability of machine learning-based prediction models in healthcare
Stiglic, G., Kocbek, P., Fijacko, N., Zitnik, M., Verbert, K., & Cilar, L. (2020) · WIREs Data Mining and Knowledge Discovery · doi:10.1002/widm.1379 · Cited by 541 · see citing works
“In recent years, researchers are increasingly relying on Visual Analytics (VA) techniques to support interpretability of machine learning models within healthcare fields (Simpao et al. 2014).”
BackgroundClinician collaboration to improve clinical decision support: the Clickbusters initiative
McCoy, A. B., Russo, E. M., Johnson, K. B., Addison, B., Patel, N., Wanderer, J. P., Mize, D. E., Jackson, J. G., Reese, T. J., Littlejohn, S., et al. (2022) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocac027 · Cited by 41 · see citing works
Medical student awareness of and interest in clinical informatics
Banerjee, R., George, P., Priebe, C., & Alper, E. (2015) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocu046 · Cited by 29 · see citing works
Big Data: Applications in Healthcare and Medical Education
Lateef, F. A. (2016) · Education in Medicine Journal · doi:10.5959/eimj.v8i1.417 · Cited by 4 · see citing works
- Authors
- Simpao, A. F., Ahumada, L. M., Gálvez, J. A., & Rehman, M. A.
- Affiliations
- Children's Hospital of Philadelphia (US)
- Venue
- Journal of Medical Systems
- Published
- 2014-04
- Volume
- 38
- Issue
- 4
- Pages
- 45-45
- ISSN
- 0148-5598 (ISSN-L)
- 1573-689X
- OpenAlex
- W2039039096
- Cited by
- 154
- References
- 2
- Citations by year
- 2026: 5 · 2025: 6 · 2024: 13 · 2023: 11 · 2022: 13 · 2021: 10 · 2020: 21 · 2019: 16 · 2018: 12 · 2017: 12 · 2016: 14 · 2015: 16 · 2014: 5
- FWCI
- 2.22
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Medical Systems (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning in Healthcare
- Keywords
- health care analytics, clinical informatics, big data, electronic health records, health information technology, predictive risk assessment, clinical decision support, home health monitoring, health care financing, resource allocation, visual analytics
- MeSH terms
- Humans, Medical Informatics, User-Computer Interface, Electronic Health Records
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