Journal:Health informatics: Engaging modern healthcare units: A brief overview

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Full article title Health informatics: Engaging modern healthcare units: A brief overview
Journal Frontiers in Public Health
Author(s) Yogesh, M.J.; Karthikeyan, J.
Author affiliation(s) Vellore Institute of Technology
Primary contact Email: yogeshmj dot nie at gmail dot com
Year published 2022
Volume and issue 10
Article # 854688
DOI 10.3389/fpubh.2022.854688
ISSN 2296-2565
Distribution license Creative Commons Attribution 4.0 International
Website https://www.frontiersin.org/articles/10.3389/fpubh.2022.854688/full
Download https://www.frontiersin.org/articles/10.3389/fpubh.2022.854688/pdf (PDF)

Abstract

With a large amount of unstructured data finding its way into health systems, health informatics implementations are currently gaining traction, allowing healthcare units to leverage and make meaningful insights for doctors and decision makers using 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, while also 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, public health, information systems, health policy, public health systems

Introduction

Machine learning (ML) is the fastest-growing topic in computer science today, and with it a health informatics implementation of ML is one of the more difficult problems to solve. [1, 2]

Emerging economies are increasing their investments in healthcare, which makes sense and encourages health professionals to adopt sound frameworks and regulatory standards, as well as health IT, to improve the quality and efficacy of care. [3] In this expanding field, new age occupations can be established. This new field has the potential to be a lucrative career path in the future. With a clear flow of information across many medical subsystems, adoption of electronic health record systems (EHRs) will improve the health care system going forward. [4]

Big data is frequently employed in the field of health informatics, as new data is constantly pouring into the system, requiring analysis and interpretation in order to make rational decisions. [5, 6] This big data has ushered in a new era for healthcare companies to improve decision-making through the comprehensive integration of data from a range of sources, allowing for much faster and more effective decision making. [7] As such, within and outside of the medical industry, computational health informatics has become an emerging field of study. [7–9]

In recent years, the healthcare industry has seen a rapid growth in medical and healthcare data, which can be used to improve facilities and public healthcare utilization and implementation using novel treatment and diagnosis methodologies. In turn, this more efficient use of healthcare data gives patients confidence in using the best public healthcare services available and aids governments in developing better healthcare policies. [10]

In today's increasingly complex social and economic environment, at hand is the vital issue of improving quality of offered healthcare services while lowering prices. This is largely what health informatics has attempted to solve. The major purpose of health informatics is to increase our understanding of medicine and medical practice by using real-world medical data. In the scope of healthcare, health informatics is practically a blend of information science and computer science. [15]

At the core of health informatics has historically been a collection of computerized systems for assisting patient analysis and diagnosis. More recent technologies have emerged that make it even easier for clinicians to make better healthcare decisions. [11, 12] As health informatics continues to evolve, it promises to improve public health activities through the advanced application of information and communication technologies (ICT). [13] ICTs have been shown to help healthcare systems increase productivity, which has resulted in significant cost savings in operations and service delivery. For administrative and healthcare objectives, ICTs have already proven to be quite effective. Additionally, new prospects for new medical equipment and systems are opening up as ICTs become smaller, quicker, wireless, and remotely controlled.

The internet and web have recently brought up new possibilities for increasing the response time of healthcare services, while also lowering costs. It is clear that we are in the early stages of a new era that will fundamentally alter the way healthcare services are provided. This will help us acquire the public's trust in using high-quality healthcare services. However, new e-Health services and technology must still be researched, developed, promoted, and disseminated with significant effort. With the COVID-19 pandemic presently sweeping the globe, increasing ICT use has demonstrated that healthcare can and will become more contactless in the future, with fresh means of treating patients and providing healthcare services emerging. This is a popular yet difficult research subject since it necessitates interdisciplinary competence. [14]

Additionally, as big data continues to increasingly find its way into healthcare, additional challenges exist in the effective use of big data within ICT frameworks. For example, big data in healthcare is intimidating not only because of its sheer magnitude, but also due to the variety of data types and the pace with which it must be managed. To gain people' trust and give quality healthcare services, all health service providers are now putting in extra effort to use the most up-to-date technologies to effectively use big data to provide quality health services and advanced treatments.

Various requirements drive innovation in this industry, such as finding appropriate accommodation with standardization and coordinating the acquisition and implementation of newer healthcare systems and services on a national/international level. With COVID-19 still threatening disruption in the healthcare sector, investments in this sector are gaining steam with new-age healthcare units in many nations, and growing economies such as India and China will continue to play a vital role in providing quality healthcare services to its citizens in the future. At the same time, those new-age healthcare units and systems will aid in dramatically lowering costs, making public healthcare systems more dependable, and instilling citizens' confidence in using inexpensive, high-quality healthcare.

Related work

References

Notes

This presentation is faithful to the original, with only a few minor changes to presentation. In some cases important information was missing from the references, and that information was added. Some grammar was cleaned up for better readability.