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Transforming healthcare through a digital revolution: A review of digital healthcare technologies and solutions.

作者信息

Naik Nithesh, Hameed B M Zeeshan, Sooriyaperakasam Nilakshman, Vinayahalingam Shankeeth, Patil Vathsala, Smriti Komal, Saxena Janhavi, Shah Milap, Ibrahim Sufyan, Singh Anshuman, Karimi Hadis, Naganathan Karthickeyan, Shetty Dasharathraj K, Rai Bhavan Prasad, Chlosta Piotr, Somani Bhaskar K

机构信息

Department of Mechanical and Industrial Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India.

iTRUE (International Training and Research in Uro-Oncology and Endourology) Group, Manipal, Karnataka, India.

出版信息

Front Digit Health. 2022 Aug 4;4:919985. doi: 10.3389/fdgth.2022.919985. eCollection 2022.


DOI:10.3389/fdgth.2022.919985
PMID:35990014
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9385947/
Abstract

The COVID-19 pandemic has put a strain on the entire global healthcare infrastructure. The pandemic has necessitated the re-invention, re-organization, and transformation of the healthcare system. The resurgence of new COVID-19 virus variants in several countries and the infection of a larger group of communities necessitate a rapid strategic shift. Governments, non-profit, and other healthcare organizations have all proposed various digital solutions. It's not clear whether these digital solutions are adaptable, functional, effective, or reliable. With the disease becoming more and more prevalent, many countries are looking for assistance and implementation of digital technologies to combat COVID-19. Digital health technologies for COVID-19 pandemic management, surveillance, contact tracing, diagnosis, treatment, and prevention will be discussed in this paper to ensure that healthcare is delivered effectively. Artificial Intelligence (AI), big data, telemedicine, robotic solutions, Internet of Things (IoT), digital platforms for communication (DC), computer vision, computer audition (CA), digital data management solutions (blockchain), digital imaging are premiering to assist healthcare workers (HCW's) with solutions that include case base surveillance, information dissemination, disinfection, and remote consultations, along with many other such interventions.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66f8/9385947/39b8491bf3f4/fdgth-04-919985-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66f8/9385947/39b8491bf3f4/fdgth-04-919985-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66f8/9385947/39b8491bf3f4/fdgth-04-919985-g0001.jpg

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本文引用的文献

[1]
Saturation of critical care capacity and mortality in patients with the novel coronavirus (COVID-19) in Italy.

Trends Anaesth Crit Care. 2020-8

[2]
Blockchain-Based Digital Twins Collaboration for Smart Pandemic Alerting: Decentralized COVID-19 Pandemic Alerting Use Case.

Comput Intell Neurosci. 2022

[3]
Blockchain-Empowered Multi-Robot Collaboration to Fight COVID-19 and Future Pandemics.

IEEE Access. 2020-10-26

[4]
Blockchain applications in health care for COVID-19 and beyond: a systematic review.

Lancet Digit Health. 2021-12

[5]
Household response to an extreme shock: Evidence on the immediate impact of the Covid-19 lockdown on economic outcomes and well-being in rural Uganda.

World Dev. 2021-4

[6]
Artificial Intelligence for COVID-19 Drug Discovery and Vaccine Development.

Front Artif Intell. 2020-8-18

[7]
The effect of COVID-19 on the economy: Evidence from an early adopter of localized lockdowns.

J Glob Health. 2021-1-16

[8]
Applications of digital health for public health responses to COVID-19: a systematic scoping review of artificial intelligence, telehealth and related technologies.

NPJ Digit Med. 2021-2-26

[9]
Infectivity of asymptomatic versus symptomatic COVID-19.

Lancet. 2021-1-9

[10]
Digital health and COVID-19.

Bull World Health Organ. 2020-11-1

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