Abstract
Computers have been used in healthcare for many years for administrative, clinical, and research purposes. Health informatics is concerned with the use of data for the management of disease and the healthcare process. Increasingly health informatics is using data and approaches developed for bioinformatics and vice versa and there are many areas where computational intelligence has the potential to make a useful contribution to health informatics. Health informatics is both a practical profession and an area of research. This chapter deals with the organization of healthcare, areas of development of health informatics in recent times, and some active areas of research that may be relevant.
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Abbreviations
- APACHE:
-
acute physiology, age, chronic health evaluation
- BC:
-
blast crisis
- CDSS:
-
clinical decision support system
- DICOM:
-
digital imaging and communications in medicine
- EHR:
-
electronic health record
- GDP:
-
guanosine diphosphate
- GIS:
-
geographical information system
- HIPPA:
-
Health Insurance Portability and Privacy Act
- HL7:
-
Health Level 7
- ICD:
-
international classification of disease
- IT:
-
infero temporal cortex
- MeSH:
-
medical subject heading
- NHS:
-
N-hydroxysuccinimidyl
- RCT:
-
randomized controlled trial
- SNOMED:
-
Systematized Nomenclature of Medicine-Clinical Terms
- SNOP:
-
Systematized Nomenclature of Pathology
- UMLS:
-
unified medical language system
- XML:
-
extensible markup language
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Parry, D. (2014). Health Informatics. In: Kasabov, N. (eds) Springer Handbook of Bio-/Neuroinformatics. Springer Handbooks. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30574-0_34
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