Essential Characteristics of Health Information Systems

Essential Characteristics of Health Information Systems

DOI: 10.4018/979-8-3693-2141-6.ch013
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Abstract

In the evolving healthcare landscape, the adoption of Health Information System (HIS) is crucial due to the surge in chronic diseases globally. This chapter examines the key components of clinical HIS, emphasizing their role in enhancing healthcare delivery and patient care. Despite the potential benefits, the implementation of HIS faces challenges such as high costs, integration complexities, and data security concerns. However, the advantages of improved patient care, enhanced efficiency, and data-driven decisions highlight the indispensability of HIS in modern healthcare. Furthermore, this chapter presents a bibliometric analysis to assess the current research landscape on HIS. The analysis reveals trends, gaps, and the impact of HIS on healthcare delivery and patient outcomes. By providing a comprehensive overview of the components, benefits, challenges, and research landscape of clinical HIS, this chapter emphasizes the crucial role of these systems in transforming healthcare and improving patient care.
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1. Introduction

Health Information System (HIS) is linked to the information made by hospital-based or community-based data sources to help make decisions in healthcare including areas like medicine, pharmacy, nursing, dentistry, and others (Health Metrics Network, 2009). Routine health facility data are collected at different levels of hospitals, primary healthcare services, and other facilities as soon as healthcare service is available to people. These data are used and changed at the health facility. Data collections, reports, and data histories are also sent at regular times to different stages of the health system, with more gathering, checking, and use at each level, like county, city, state, and country level (WHO, 2021).

Healthcare is the main issue for all countries, governments, and people. Every community needs reliable and good healthcare services that are a part of everyday life. Because of new ways to diagnose and treat diseases, and the presence of different healthcare teams, each with its own features, needs, and ways of working, healthcare is very complex (Kruse & Benea, 2018). So, using HIS is needed to keep healthcare organizations working well over time. Many HIS applications have been made to change paper-based systems into computer systems in the last few decades. Many health facilities around the world have started using HIS to share health information (Tian et al., 2019).

HIS helps to better control care, better coordination of information, accuracy, timeliness, and integrity of information, and the ability to look into information. These systems also lower the costs linked to medical mistakes and improve the right delivery of information, lasting care, and easy access to information for everyone in any place. This affects how patients and healthcare professionals talk to each other (Winter et al., 2018). The people who use HIS include not just doctors, nurses, technicians, and patients, but also private and government healthcare insurance, researchers, organizations for checking quality, public health organizations, and companies that make medical and pharmaceutical tools (Herout et al., 2019).

Information technologies in healthcare are a growing field where medical applications and technological solutions work together. These systems are the best tools for comparing, linking, and understanding patient data in the process of moving from information to knowledge. The main goal of a HIS is to speed up the recording of patient information and make the best decisions for diagnosis and treatment. HIS is the set of technologies used to get, process, analyze, and store patient data. Digital records of patients, also called Electronic Health Records (EHR), can also be shared among patients, healthcare professionals, and others through HIS over secure networks for better healthcare use and quality of care.

The global EHR market is expected to go up by 44% from 29.4 billion in 2021 to 42.2 billion in 2028 (IBM, 2022). However, most healthcare data is now stored in different systems, making it hard for healthcare providers to share information or even use it themselves. That means healthcare providers, researchers, and payers may only see a small part of the picture. To fill the gap, healthcare organizations need to create an ecosystem where devices, applications, and systems can work together and share healthcare information when needed. The last pandemic showed how important working together can be (IBM, 2022).

Key Terms in this Chapter

Data Management: The practice of collecting, storing, protecting and using data effectively and efficiently.

Patient-Centered Care: An approach to healthcare that focuses on the needs, preferences, and values of the patient.

EMRAM: A methodology developed by HIMSS to evaluate the level of adoption of electronic medical record systems in hospitals. It ranges from Stage 0 (no EMR) to Stage 7 (fully paperless environment).

Health Information System: An integrated system that used in healthcare to collect, store, manage, and transmit patients' electronic medical records, as well as to perform various administrative and clinical tasks.

Artificial Intelligence: A branch of computer science that aims to create systems or machines that can perform tasks that typically require human intelligence.

Data Security: The process of protecting data from unauthorized access, disclosure, alteration, or destruction to ensure its confidentiality, integrity, and availability.

HIMSS: A global non-profit organization dedicated to improving healthcare quality, safety, cost-effectiveness, and access through the best use of information technology and management systems.

Electronic Health Record: A digital version of a patient's medical history and health information, maintained by healthcare providers.

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