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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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  • DOI: https://doi.org/10.1007/978-3-642-30574-0_34

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