Literature DB >> 31550922

Artificial intelligence in healthcare: An essential guide for health leaders.

Mei Chen1, Michel Decary1.   

Abstract

Artificial Intelligence (AI) is evolving rapidly in healthcare, and various AI applications have been developed to solve some of the most pressing problems that health organizations currently face. It is crucial for health leaders to understand the state of AI technologies and the ways that such technologies can be used to improve the efficiency, safety, and access of health services, achieving value-based care. This article provides a guide to understand the fundamentals of AI technologies (ie, machine learning, natural language processing, and AI voice assistants) as well as their proper use in healthcare. It also provides practical recommendations to help decision-makers develop an AI strategy that can support their digital healthcare transformation.

Year:  2019        PMID: 31550922     DOI: 10.1177/0840470419873123

Source DB:  PubMed          Journal:  Healthc Manage Forum        ISSN: 0840-4704


  19 in total

Review 1.  Artificial Intelligence for Health Professions Educators.

Authors:  Kimberly Lomis; Pamela Jeffries; Anthony Palatta; Melanie Sage; Javaid Sheikh; Carl Sheperis; Alison Whelan
Journal:  NAM Perspect       Date:  2021-09-08

Review 2.  Artificial Intelligence Applications in Health Care Practice: Scoping Review.

Authors:  Malvika Sharma; Carl Savage; Monika Nair; Ingrid Larsson; Petra Svedberg; Jens M Nygren
Journal:  J Med Internet Res       Date:  2022-10-05       Impact factor: 7.076

Review 3.  Artificial Intelligence in Bariatric Surgery: Current Status and Future Perspectives.

Authors:  Mustafa Bektaş; Beata M M Reiber; Jaime Costa Pereira; George L Burchell; Donald L van der Peet
Journal:  Obes Surg       Date:  2022-06-17       Impact factor: 3.479

4.  The future of artificial intelligence in medicine: Medical-legal considerations for health leaders.

Authors:  Sunam Jassar; Scott J Adams; Amy Zarzeczny; Brent E Burbridge
Journal:  Healthc Manage Forum       Date:  2022-03-31

5.  Three machine learning algorithms and their utility in exploring risk factors associated with primary cesarean section in low-risk women: A methods paper.

Authors:  Rebecca R S Clark; Jintong Hou
Journal:  Res Nurs Health       Date:  2021-03-02       Impact factor: 2.238

6.  What Can COVID-19 Teach Us about Using AI in Pandemics?

Authors:  Krzysztof Laudanski; Gregory Shea; Matthew DiMeglio; Mariana Rastrepo; Cassie Solomon
Journal:  Healthcare (Basel)       Date:  2020-12-01

7.  Differences in Knowledge and Perspectives on the Usage of Artificial Intelligence Among Doctors and Medical Students of a Developing Country: A Cross-Sectional Study.

Authors:  Rohin Kansal; Ashvind Bawa; Arpit Bansal; Shubam Trehan; Kashish Goyal; Naresh Goyal; Kashish Malhotra
Journal:  Cureus       Date:  2022-01-19

Review 8.  Appointment Scheduling Problem in Complexity Systems of the Healthcare Services: A Comprehensive Review.

Authors:  Ali Ala; Feng Chen
Journal:  J Healthc Eng       Date:  2022-03-03       Impact factor: 2.682

9.  Effectiveness of Using Voice Assistants in Learning: A Study at the Time of COVID-19.

Authors:  María Consuelo Sáiz-Manzanares; Raúl Marticorena-Sánchez; Javier Ochoa-Orihuel
Journal:  Int J Environ Res Public Health       Date:  2020-08-04       Impact factor: 3.390

Review 10.  Metabolomic Laboratory-Developed Tests: Current Status and Perspectives.

Authors:  Steven Lichtenberg; Oxana P Trifonova; Dmitry L Maslov; Elena E Balashova; Petr G Lokhov
Journal:  Metabolites       Date:  2021-06-26
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