Health Informatics and Patient Safety in Times of Crisis

Summary

Vajjhala and Eappen (2022) edited a volume of 13 chapters that covers how health informatics and information technology performed during the COVID-19 pandemic and how improved informatics could protect patient safety in future crises. Topics include machine learning for predicting coronavirus spread, telemedicine, design principles for data-driven clinical decision support, big data analytics, and case studies from Indonesia, Puerto Rico and the United Arab Emirates. The collection was written during and shortly after the pandemic, chapter methods vary, and several chapters are single-country case studies.

Practical implication. Hospital administrators and public health officials can use the volume to reassess what worked in health informatics during the pandemic, and what could have worked better, when preparing for future crises.

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 Copy APA

The summary, key coverage points, methods, implications and relevance notes on this page 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 book in detail

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.

Book at a glance

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

1. The Benefits of Technology in Healthcare Management — Sheryl Joane Dobson Wainwright
2. How Could Machine Learning Help Healthcare Informatics Predict Coronavirus? — Kenneth David Strang
3. Overview of Operations in Health Informatics — Andrew Smith
4. Information Technology and Management, Misinformation, and the Impact on Patient Safety and Outcomes — David J. Ranney and Amir Adolphe
5. Optimizing Knowledge Management During Crises — Sandra Long
6. Telemedicine in Pandemic Times — Karen Parker Davidson
7. Telemedicine and Digital Public Health in Pandemic Times — Philip Eappen and Tosin Dotun Olujinmi
8. Telemedicine in Pandemic Times in Indonesia — Rita Komalasari
9. Conceptual Design Principles for Data-Driven Clinical Decision Support Systems (CDSS) — Dimitrios Zikos
10. Applications of Big Data Analytics in Healthcare Informatics — Bhuvanendra Putchala, Lasya Sreevidya Kanala, Devi Prasanna Donepudi, and Hari Kishan Kondaveeti
11. The Road to Data-Driven Public Health Emergency Response in the Overseas Territory of Puerto Rico — Joshua E. Villafañe Delgado, Fabiola Cruz López, Wilmará de Jesús Álvarez, Mónica Robles Fontán, Danilo T. Pérez Rivera, and Lorenzo González Feliciano
12. Maintaining a Standardized Electronic Registry of Spinal Cord Injury in the Public Sector — Vinu V. Gopal
13. COVID-19 Success Story of the United Arab Emirates (UAE) — Rajasekhara Mouly Potluri and Sasi Kumar Gundapaneni

Scope and limitations

• An edited collection written during and shortly after the pandemic; chapter methods vary and several chapters are single-country case studies.

Practical implications

• Medical professionals, hospital administrators and public health officials can use the volume to prepare health systems for future pandemics and other crises by reassessing what worked during the COVID-19 pandemic and what could have worked better.
• Public health officials planning emergency response can consult case studies in the volume on data-driven public health emergency response in Puerto Rico and the COVID-19 response of the UAE.
• Medical professionals and hospital administrators interested in telemedicine can turn to the three chapters of the volume on telemedicine in pandemic times, which include digital public health and the Indonesian experience.
• Researchers drawing on the volume should note that it was written during and shortly after the pandemic, that chapter methods vary, and that several chapters are single-country case studies.

Drawn from Vajjhala & Eappen (2022), IGI Global, Advances in Healthcare Information Systems and Administration series, 286 pp.

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

APA 7

Vajjhala, N. R., & Eappen, P. (Eds.). (2022). Health Informatics and Patient Safety in Times of Crisis. IGI Global. https://doi.org/10.4018/978-1-6684-5499-2Copy APA citation

MLA 9

Vajjhala, Narasimha Rao, and Philip Eappen, editors. Health Informatics and Patient Safety in Times of Crisis. IGI Global, 2022. https://doi.org/10.4018/978-1-6684-5499-2.Copy MLA citation

IEEE

N. R. Vajjhala and P. Eappen, Eds., Health Informatics and Patient Safety in Times of Crisis. IGI Global, 2022, doi: 10.4018/978-1-6684-5499-2.Copy IEEE citation

@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}
}

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TI  - Health Informatics and Patient Safety in Times of Crisis
ED  - Vajjhala, Narasimha Rao
ED  - Eappen, Philip
T3  - Advances in Healthcare Information Systems and Administration
PY  - 2022
DA  - 2022/12/09
PB  - IGI Global
SN  - 2328-1243
DO  - 10.4018/978-1-6684-5499-2
UR  - https://www.narasimharao.net/research/health-informatics-patient-safety-times-of-crisis/
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Links and files

• DOI: https://doi.org/10.4018/978-1-6684-5499-2
• This page as text: https://www.narasimharao.net/research/health-informatics-patient-safety-times-of-crisis/paper.md
• Permanent address of this page: https://www.narasimharao.net/research/health-informatics-patient-safety-times-of-crisis/