Cargando…
Key Challenges and Opportunities for Cloud Technology in Health Care: Semistructured Interview Study
BACKGROUND: The use of cloud computing (involving storage and processing of data on the internet) in health care has increasingly been highlighted as having great potential in facilitating data-driven innovations. Although some provider organizations are reaping the benefits of using cloud providers...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8778568/ https://www.ncbi.nlm.nih.gov/pubmed/34989688 http://dx.doi.org/10.2196/31246 |
_version_ | 1784637357543129088 |
---|---|
author | Cresswell, Kathrin Domínguez Hernández, Andrés Williams, Robin Sheikh, Aziz |
author_facet | Cresswell, Kathrin Domínguez Hernández, Andrés Williams, Robin Sheikh, Aziz |
author_sort | Cresswell, Kathrin |
collection | PubMed |
description | BACKGROUND: The use of cloud computing (involving storage and processing of data on the internet) in health care has increasingly been highlighted as having great potential in facilitating data-driven innovations. Although some provider organizations are reaping the benefits of using cloud providers to store and process their data, others are lagging behind. OBJECTIVE: We aim to explore the existing challenges and barriers to the use of cloud computing in health care settings and investigate how perceived risks can be addressed. METHODS: We conducted a qualitative case study of cloud computing in health care settings, interviewing a range of individuals with perspectives on supply, implementation, adoption, and integration of cloud technology. Data were collected through a series of in-depth semistructured interviews exploring current applications, implementation approaches, challenges encountered, and visions for the future. The interviews were transcribed and thematically analyzed using NVivo 12 (QSR International). We coded the data based on a sociotechnical coding framework developed in related work. RESULTS: We interviewed 23 individuals between September 2020 and November 2020, including professionals working across major cloud providers, health care provider organizations, innovators, small and medium-sized software vendors, and academic institutions. The participants were united by a common vision of a cloud-enabled ecosystem of applications and by drivers surrounding data-driven innovation. The identified barriers to progress included the cost of data migration and skill gaps to implement cloud technologies within provider organizations, the cultural shift required to move to externally hosted services, a lack of user pull as many benefits were not visible to those providing frontline care, and a lack of interoperability standards and central regulations. CONCLUSIONS: Implementations need to be viewed as a digitally enabled transformation of services, driven by skill development, organizational change management, and user engagement, to facilitate the implementation and exploitation of cloud-based infrastructures and to maximize returns on investment. |
format | Online Article Text |
id | pubmed-8778568 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-87785682022-02-03 Key Challenges and Opportunities for Cloud Technology in Health Care: Semistructured Interview Study Cresswell, Kathrin Domínguez Hernández, Andrés Williams, Robin Sheikh, Aziz JMIR Hum Factors Original Paper BACKGROUND: The use of cloud computing (involving storage and processing of data on the internet) in health care has increasingly been highlighted as having great potential in facilitating data-driven innovations. Although some provider organizations are reaping the benefits of using cloud providers to store and process their data, others are lagging behind. OBJECTIVE: We aim to explore the existing challenges and barriers to the use of cloud computing in health care settings and investigate how perceived risks can be addressed. METHODS: We conducted a qualitative case study of cloud computing in health care settings, interviewing a range of individuals with perspectives on supply, implementation, adoption, and integration of cloud technology. Data were collected through a series of in-depth semistructured interviews exploring current applications, implementation approaches, challenges encountered, and visions for the future. The interviews were transcribed and thematically analyzed using NVivo 12 (QSR International). We coded the data based on a sociotechnical coding framework developed in related work. RESULTS: We interviewed 23 individuals between September 2020 and November 2020, including professionals working across major cloud providers, health care provider organizations, innovators, small and medium-sized software vendors, and academic institutions. The participants were united by a common vision of a cloud-enabled ecosystem of applications and by drivers surrounding data-driven innovation. The identified barriers to progress included the cost of data migration and skill gaps to implement cloud technologies within provider organizations, the cultural shift required to move to externally hosted services, a lack of user pull as many benefits were not visible to those providing frontline care, and a lack of interoperability standards and central regulations. CONCLUSIONS: Implementations need to be viewed as a digitally enabled transformation of services, driven by skill development, organizational change management, and user engagement, to facilitate the implementation and exploitation of cloud-based infrastructures and to maximize returns on investment. JMIR Publications 2022-01-06 /pmc/articles/PMC8778568/ /pubmed/34989688 http://dx.doi.org/10.2196/31246 Text en ©Kathrin Cresswell, Andrés Domínguez Hernández, Robin Williams, Aziz Sheikh. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 06.01.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Human Factors, is properly cited. The complete bibliographic information, a link to the original publication on https://humanfactors.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Cresswell, Kathrin Domínguez Hernández, Andrés Williams, Robin Sheikh, Aziz Key Challenges and Opportunities for Cloud Technology in Health Care: Semistructured Interview Study |
title | Key Challenges and Opportunities for Cloud Technology in Health Care: Semistructured Interview Study |
title_full | Key Challenges and Opportunities for Cloud Technology in Health Care: Semistructured Interview Study |
title_fullStr | Key Challenges and Opportunities for Cloud Technology in Health Care: Semistructured Interview Study |
title_full_unstemmed | Key Challenges and Opportunities for Cloud Technology in Health Care: Semistructured Interview Study |
title_short | Key Challenges and Opportunities for Cloud Technology in Health Care: Semistructured Interview Study |
title_sort | key challenges and opportunities for cloud technology in health care: semistructured interview study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8778568/ https://www.ncbi.nlm.nih.gov/pubmed/34989688 http://dx.doi.org/10.2196/31246 |
work_keys_str_mv | AT cresswellkathrin keychallengesandopportunitiesforcloudtechnologyinhealthcaresemistructuredinterviewstudy AT dominguezhernandezandres keychallengesandopportunitiesforcloudtechnologyinhealthcaresemistructuredinterviewstudy AT williamsrobin keychallengesandopportunitiesforcloudtechnologyinhealthcaresemistructuredinterviewstudy AT sheikhaziz keychallengesandopportunitiesforcloudtechnologyinhealthcaresemistructuredinterviewstudy |