Abstract
As healthcare delivery is largely dependent on an exchange of information between both the patient and the healthcare professional and among the healthcare professionals themselves, health informatics has emerged as a growing field of study. This chapter provides an overview of health informatics, how technology can enhance healthcare quality and quality measurement, the possibilities afforded by big data aggregation, and how to reduce and manage the unintended consequences technology can have on healthcare practices.
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Additional Resources: Further Reading
Agency for Healthcare Research and Quality (AHRQ) (n.d.) Health information technology. https://healthit.ahrq.gov/
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Health Information Technology Standards (Abbreviated List)
LOINC – Laboratory testing coding: https://loinc.org/downloads/loinc-table/
SNOMED CT3 – Clinical text coding (within EHR): http://www.snomed.org/snomed-ct/get-snomed
UMLS – Overall Coded Medical Language: https://www.nlm.nih.gov/research/umls/
ICD-10 – Diagnosis/Procedure Coding (hospitals): https://www.who.int/health-topics/international-classification-of-diseases
Continuity of Care Record (CCR) – Snapshot of patient for next caregiver: https://www.astm.org/Standards/E2369.htm
Clinical Document Architecture (CDA) – Discharge summaries and progress noted: http://www.hl7.org/implement/standards/
NCPDP – Pharmacy: https://www.ncpdp.org/Standards-Development/Standards-Information
DICOM – Radiology images: https://www.dicomstandard.org/current/
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West, D.W. (2021). Health Informatics. In: Giardino, A., Riesenberg, L., Varkey, P. (eds) Medical Quality Management. Springer, Cham. https://doi.org/10.1007/978-3-030-48080-6_5
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DOI: https://doi.org/10.1007/978-3-030-48080-6_5
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