Abstract
Background: Advanced technologies, including artificial intelligence (AI) and other Disruptive technology, have been directly responsible for the significant changes, renovations, and enhancements that have taken place in healthcare systems around the world. In spite of the many challenges, particularly in nations still growing their economies, the healthcare industry has a significant number of opportunities.
Objective: To explore the key obstacles that were encountered by the healthcare industry both during and after the introduction of AI and other Disruptive technological practices associated with Health 4.0 in the healthcare industry to uncover how these variables influence AI and other Disruptive technology adoption in healthcare sector of India.
Methods: An online survey format that included standardized questionnaire data was obtained from 83 hospitals, and a total of 434 samples have been implemented for various healthcare administrative staff members by the adoption of AI and Disruptive technology. ANOVA analysis was done to confirm the hypotheses' assumptions, then descriptive statistics were done to analyze the mean value, and also EFA and CFA analysis with SEM analysis has been done in the SPSS program for numerous validity tests (version 20).
Results: This research explored 15 issues that healthcare administration staff members consider barriers and through the use of EFA, only two of the three primary obstacles"Additional workload" and "Problems with adopting technology" have a substantial impact on the rate at which AI is adopted in the healthcare industry, as seen through the eyes of the workers in that area.
Conclusion: These challenges include a high need for capital, extra investments in new technologies like the internet of things (IoT), artificial intelligence (AI), business analytics, , resistance to change from both employees and employers, the need for a skilled workforce, and the upkeep of support systems. The use of blockchain technology in India's healthcare system as a secure service for administrative workers in Health 4.0 Practices could solve data security problems.
Graphical Abstract
[http://dx.doi.org/10.1177/0141076818815510] [PMID: 30507284]
[http://dx.doi.org/10.1111/1742-6723.13145] [PMID: 30014578]
[http://dx.doi.org/10.1108/SL-11-2017-0106]
[http://dx.doi.org/10.1001/jama.2016.17438] [PMID: 27898975]
[http://dx.doi.org/10.1038/s41746-019-0155-4] [PMID: 31453372]
[http://dx.doi.org/10.1007/978-3-030-21642-9_2]
[http://dx.doi.org/10.2139/ssrn.3525037]
[http://dx.doi.org/10.1109/MS.2020.2985621]
[http://dx.doi.org/10.1007/978-3-030-81907-1_10]
[http://dx.doi.org/10.1503/cmaj.050281] [PMID: 16717265]
[http://dx.doi.org/10.1108/BPMJ-04-2017-0084]
[http://dx.doi.org/10.4018/IJSESD.292078]
[http://dx.doi.org/10.1007/978-3-319-47617-9_10]
[http://dx.doi.org/10.1007/978-3-319-47617-9_10]
[http://dx.doi.org/10.1017/dsi.2019.93]
[http://dx.doi.org/10.3390/ijerph16122247] [PMID: 31242687]
[http://dx.doi.org/10.1016/j.jii.2020.100129]
[http://dx.doi.org/10.1007/s13755-018-0049-x] [PMID: 30279984]
[http://dx.doi.org/10.1002/hbe2.237] [PMID: 33363278]
[http://dx.doi.org/10.1007/978-3-030-79753-9_7]
[http://dx.doi.org/10.1021/cb800240j] [PMID: 19055425]
[http://dx.doi.org/10.1016/j.metabol.2017.01.011] [PMID: 28126242]
[http://dx.doi.org/10.1039/C4MH00147H]
[http://dx.doi.org/10.1007/s11886-013-0441-8] [PMID: 24338557]
[http://dx.doi.org/10.1016/j.jgar.2021.02.034] [PMID: 33812050]
[http://dx.doi.org/10.1016/j.amsu.2021.102681] [PMID: 34401143]
[http://dx.doi.org/10.1201/9781003137481-9]
[http://dx.doi.org/10.3390/technologies9020030]
[http://dx.doi.org/10.1016/j.procs.2020.07.089]
[http://dx.doi.org/10.1016/j.breast.2021.02.011] [PMID: 33706025]
[http://dx.doi.org/10.2196/24680] [PMID: 35293878]
[http://dx.doi.org/10.2196/medinform.2548] [PMID: 25720417]
[http://dx.doi.org/10.1016/j.procir.2021.03.009]
[http://dx.doi.org/10.1016/j.ajic.2021.04.079] [PMID: 33930516]
[http://dx.doi.org/10.1016/j.procs.2021.04.015]
[http://dx.doi.org/10.1016/j.ijid.2021.03.069] [PMID: 33781902]
[http://dx.doi.org/10.3390/ijerph17124331] [PMID: 32560496]
[http://dx.doi.org/10.1007/s12553-021-00583-1] [PMID: 34377625]
[http://dx.doi.org/10.1093/jamia/ocx017] [PMID: 28340128]
[http://dx.doi.org/10.3389/fpsyg.2020.608216] [PMID: 33510684]
[http://dx.doi.org/10.1016/j.smhl.2017.06.001]
[http://dx.doi.org/10.2196/17620] [PMID: 32406857]
[http://dx.doi.org/10.1016/0167-7152(85)90016-1]
[http://dx.doi.org/10.4103/aca.ACA_157_18] [PMID: 30648682]
[http://dx.doi.org/10.1037/1082-989X.4.1.84]
[http://dx.doi.org/10.1007/s40171-013-0042-9]
[http://dx.doi.org/10.1055/s-2006-940029] [PMID: 16874581]
[http://dx.doi.org/10.1177/0011000006286345]
[http://dx.doi.org/10.1037/1082-989X.7.1.64] [PMID: 11928891]
[http://dx.doi.org/10.4324/9781315181158-21]
[http://dx.doi.org/10.1016/j.paid.2006.09.022]
[http://dx.doi.org/10.1080/10705519909540119]
[http://dx.doi.org/10.1037/0033-2909.88.3.588]
[http://dx.doi.org/10.1080/10705519409539970]
[http://dx.doi.org/10.1080/10705519909540118]
[http://dx.doi.org/10.1177/096228029200100203] [PMID: 1341656]
[http://dx.doi.org/10.1002/dac.4179]