Edited book · 2022
Health Informatics and Patient Safety in Times of Crisis
IGI Global, Advances in Healthcare Information Systems and Administration series, 286 pp. · Published
Research summary
The summary, key coverage points, methodology and relevance notes below are this website’s own description of the book, written from the published description and table of contents. The official publisher description and citation details are given further down.
- The Problem
- The COVID-19 pandemic exposed gaps in how health informatics and information technology protect patient safety during crises.
- The Approach
- Edited volume of 13 chapters; chapter methods include machine-learning prediction of coronavirus spread, conceptual design principles for clinical decision support, big data analytics review, registry implementation case study, and national and regional case studies of telemedicine and emergency response.
- The Core Contribution
- The volume documents how health informatics performed during the pandemic — machine learning for predicting spread, telemedicine, clinical decision support design, big data analytics, registries and national emergency responses — and shows how improved informatics can protect patient safety in future crises.
- The Citation
- Vajjhala, N. R., & Eappen, P. (Eds.). (2022). Health Informatics and Patient Safety in Times of Crisis. IGI Global. https://doi.org/10.4018/978-1-6684-5499-2
What question does this book address?
How did health informatics and information technology perform during the COVID-19 pandemic, and how could improved informatics protect patient safety in future crises?
What does the book cover?
Thirteen chapters cover the benefits of technology in healthcare management; how machine learning could help predict coronavirus; operations in health informatics; IT management, misinformation and patient safety; knowledge management during crises; telemedicine in pandemic times (including Indonesia) and digital public health; design principles for data-driven clinical decision support; big data analytics in health informatics; data-driven public health emergency response in Puerto Rico; a standardised electronic spinal cord injury registry; and the COVID-19 response of the United Arab Emirates.
Why does it matter?
The pandemic showed how much health data, technology and access to informatics matter. Reassessing what worked, and what could have worked better, prepares health systems for future pandemics and other crises.
What the book covers
- Reviews the benefits of technology in healthcare management and the operations of health informatics, and asks how machine learning could help predict coronavirus spread.
- Examines information technology management, misinformation and their impact on patient safety and outcomes, and how to optimise knowledge management during crises.
- Devotes three chapters to telemedicine in pandemic times — including digital public health and the Indonesian experience.
- Presents conceptual design principles for data-driven clinical decision support systems and applications of big data analytics in health informatics.
- Provides case studies of data-driven public health emergency response in Puerto Rico, a standardised electronic spinal cord injury registry in the public sector, and the COVID-19 response of the UAE.
Source: Vajjhala & Eappen (2022), IGI Global, Advances in Healthcare Information Systems and Administration series, 286 pp.. DOI: 10.4018/978-1-6684-5499-2
Book at a glance
| Type | Edited book, 286 pages |
|---|---|
| Editors | Narasimha Rao Vajjhala and Philip Eappen |
| Series | Advances in Healthcare Information Systems and Administration (IGI Global) |
| Chapters | 13 |
| Editor’s own chapter | Ch. 7, Telemedicine and Digital Public Health in Pandemic Times (Eappen and Olujinmi) |
| Audience | Medical professionals, hospital administrators, public health officials, community and international leaders, medical students and educators, researchers |
| Citation | Vajjhala & Eappen (2022) · DOI 10.4018/978-1-6684-5499-2 |
Publisher’s description
The COVID-19 pandemic has highlighted the importance of health data, technology, and access to health informatics. The applications of several information technologies in the context of healthcare are proving instrumental in pandemic control. These technologies were already actively used in the healthcare sector before the pandemic. However, the pandemic has resulted in researchers reassessing how these technologies could have better assisted with the aftermath of the COVID-19 pandemic and how they may mitigate the threat of future pandemics. Health Informatics and Patient Safety in Times of Crisis provides a fresh perspective on how healthcare informatics has managed the current pandemic and how improved healthcare informatics could help in a future crisis. Covering topics such as digital public health, misinformation, and knowledge management, this premier reference source is an indispensable resource for medical professionals, hospital administrators, public health officials, community leaders, international leaders, libraries, medical students, medical professors, researchers, and academicians.
Description as published by IGI Global.
Contents
- The Benefits of Technology in Healthcare Management
- How Could Machine Learning Help Healthcare Informatics Predict Coronavirus?
- Overview of Operations in Health Informatics
- Information Technology and Management, Misinformation, and the Impact on Patient Safety and Outcomes
- Optimizing Knowledge Management During Crises
- Telemedicine in Pandemic Times
- Telemedicine and Digital Public Health in Pandemic Times
- Telemedicine in Pandemic Times in Indonesia
- Conceptual Design Principles for Data-Driven Clinical Decision Support Systems (CDSS)
- Applications of Big Data Analytics in Healthcare Informatics
- The Road to Data-Driven Public Health Emergency Response in the Overseas Territory of Puerto Rico
- Maintaining a Standardized Electronic Registry of Spinal Cord Injury in the Public Sector
- COVID-19 Success Story of the United Arab Emirates (UAE)
Scope and limitations
- An edited collection written during and shortly after the pandemic; chapter methods vary and several chapters are single-country case studies.
When this research may be relevant
This book may be relevant to researchers studying health informatics during the COVID-19 pandemic, telemedicine and digital public health, patient safety and misinformation, clinical decision support design, big data and machine learning in epidemic response, and health information system case studies from Indonesia, Puerto Rico and the UAE.
Research topics addressed: health informatics; patient safety; COVID-19; pandemic response; telemedicine; digital public health; misinformation; knowledge management in crises; clinical decision support systems; big data analytics in healthcare; machine learning for epidemic prediction; health information technology management; electronic registries; public health emergency response
How to cite
Vajjhala, N. R., & Eappen, P. (Eds.). (2022). Health Informatics and Patient Safety in Times of Crisis. IGI Global. https://doi.org/10.4018/978-1-6684-5499-2
BibTeX
@book{vajjhala2022health,
title = {Health Informatics and Patient Safety in Times of Crisis},
editor = {Vajjhala, Narasimha Rao and Eappen, Philip},
series = {Advances in Healthcare Information Systems and Administration},
isbn = {9781668455005},
year = {2022},
publisher = {IGI Global},
doi = {10.4018/978-1-6684-5499-2},
url = {https://doi.org/10.4018/978-1-6684-5499-2}
}Related research