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Review
. 2022 Apr 29:10:854688.
doi: 10.3389/fpubh.2022.854688. eCollection 2022.

Health Informatics: Engaging Modern Healthcare Units: A Brief Overview

M J Yogesh  1 , J Karthikeyan  1
Affiliations
Review

Health Informatics: Engaging Modern Healthcare Units: A Brief Overview

M J Yogesh et al. Front Public Health. .

Abstract

In the current scenario, with a large amount of unstructured data, Health Informatics is gaining traction, allowing Healthcare Units to leverage and make meaningful insights for doctors and decision-makers with relevant information to scale operations and predict the future view of treatments via Information Systems Communication. Now, around the world, massive amounts of data are being collected and analyzed for better patient diagnosis and treatment, improving public health systems and assisting government agencies in designing and implementing public health policies, instilling confidence in future generations who want to use better public health systems. This article provides an overview of the HL7 FHIR Architecture, including the workflow state, linkages, and various informatics approaches used in healthcare units. The article discusses future trends and directions in Health Informatics for successful application to provide public health safety. With the advancement of technology, healthcare units face new issues that must be addressed with appropriate adoption policies and standards.

Keywords: health informatics; health policy; information systems; public health; public health systems.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
General architecture of the Fast Health Interoperability Resources (FHIR) standard (35).
Figure 2
Figure 2
FHIR data layers and resources (35).
Figure 3
Figure 3
Work flow relations Fast Health Interoperability Resources (FHIR) standard (38).
See this image and copyright information in PMC

References

    1. Jordan MI, Mitchell TM. Machine learning: trends, perspectives, and prospects. Science. (2015) 349:255–60. 10.1126/science.aaa8415 - DOI - PubMed
    1. LeCun Y, Bengio Y, Hinton G. Deep learning. Nature. (2015) 521:436–44. 10.1038/nature14539 - DOI - PubMed
    1. Pete S. Congressional intent for the HITECH Act. Am J Managed Care. (2010) 16(12 Suppl HIT):SP24–8. - PubMed
    1. Jamoom E, Beatty P, Bercovitz A, Woodwell D, Palso K, Rechtsteiner E. Physician adoption of electronic health record systems: United States, 2011. NCHS Data Brief . (2011) 98:1–8. - PubMed
    1. Jacobs A. The pathologies of big data. Commun ACM. (2009) 52:36–44. 10.1145/1536616.1536632 - DOI

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