Impact of big data resources on clinicians’ activation of prior medical knowledge
Background: Activating prior medical knowledge in diagnosis and treatment is an important basis for clinicians to improve their care ability. However, it has not been systematically explained whether and how various big data resources affect the activation of prior knowledge in the big data environm...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-09-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844022016000 |
| _version_ | 1811180894068670464 |
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| author | Sufen Wang Junyi Yuan Changqing Pan |
| author_facet | Sufen Wang Junyi Yuan Changqing Pan |
| author_sort | Sufen Wang |
| collection | DOAJ |
| description | Background: Activating prior medical knowledge in diagnosis and treatment is an important basis for clinicians to improve their care ability. However, it has not been systematically explained whether and how various big data resources affect the activation of prior knowledge in the big data environment faced by clinicians. Objective: The aim of this study is to contribute to a better understanding on how the activation of prior knowledge of clinicians is affected by a wide range of shared and private big data resources, to reveal the impact of big data resources on clinical competence and professional development of clinicians. Method: Through the comprehensive analysis of extant research results, big data resources are classified as big data itself, big data technology and big data services at the public and institutional levels. A survey was conducted on clinicians and IT personnel in Chinese hospitals. A total of 616 surveys are completed, involving 308 medical institutions. Each medical institution includes a clinician and an IT personnel. SmartPLS version 2.0 software package was used to test the direct impact of big data resources on the activation of prior knowledge. We further analyze their indirect impact of those big data resources without direct impact. Results: (1) Big data quality environment at the institutional level and the big data sharing environment at the public level directly affect activation of prior medical knowledge; (2) Big data service environment at the institutional level directly affects activation of prior medical knowledge; (3) Big data deployment environment at the institutional level and big data service environment at the public level have no direct impact on activation of prior knowledge of clinicians, but they have an indirect impact through big data quality environment and service environment at the institutional level and the big data sharing environment at the public level. Conclusions: Big data technology, big data itself and big data service at the public level and institutional level interact and influence each other to activate prior medical knowledge. This study highlights the implications of big data resources on improvement of clinicians’ diagnosis and treatment ability. |
| first_indexed | 2024-04-11T09:10:22Z |
| format | Article |
| id | doaj.art-5d20bad0f5cc4d4c825cf748cb948da4 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-11T09:10:22Z |
| publishDate | 2022-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-5d20bad0f5cc4d4c825cf748cb948da42022-12-22T04:32:31ZengElsevierHeliyon2405-84402022-09-0189e10312Impact of big data resources on clinicians’ activation of prior medical knowledgeSufen Wang0Junyi Yuan1Changqing Pan2Glorious Sun School of Business and Management, DongHua University, Shanghai, ChinaInformation Center, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China; Corresponding author.Hospital's Office, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, ChinaBackground: Activating prior medical knowledge in diagnosis and treatment is an important basis for clinicians to improve their care ability. However, it has not been systematically explained whether and how various big data resources affect the activation of prior knowledge in the big data environment faced by clinicians. Objective: The aim of this study is to contribute to a better understanding on how the activation of prior knowledge of clinicians is affected by a wide range of shared and private big data resources, to reveal the impact of big data resources on clinical competence and professional development of clinicians. Method: Through the comprehensive analysis of extant research results, big data resources are classified as big data itself, big data technology and big data services at the public and institutional levels. A survey was conducted on clinicians and IT personnel in Chinese hospitals. A total of 616 surveys are completed, involving 308 medical institutions. Each medical institution includes a clinician and an IT personnel. SmartPLS version 2.0 software package was used to test the direct impact of big data resources on the activation of prior knowledge. We further analyze their indirect impact of those big data resources without direct impact. Results: (1) Big data quality environment at the institutional level and the big data sharing environment at the public level directly affect activation of prior medical knowledge; (2) Big data service environment at the institutional level directly affects activation of prior medical knowledge; (3) Big data deployment environment at the institutional level and big data service environment at the public level have no direct impact on activation of prior knowledge of clinicians, but they have an indirect impact through big data quality environment and service environment at the institutional level and the big data sharing environment at the public level. Conclusions: Big data technology, big data itself and big data service at the public level and institutional level interact and influence each other to activate prior medical knowledge. This study highlights the implications of big data resources on improvement of clinicians’ diagnosis and treatment ability.http://www.sciencedirect.com/science/article/pii/S2405844022016000Big data resourcesActivation of prior medical knowledgeShared big data resourcesPrivate big data resources |
| spellingShingle | Sufen Wang Junyi Yuan Changqing Pan Impact of big data resources on clinicians’ activation of prior medical knowledge Heliyon Big data resources Activation of prior medical knowledge Shared big data resources Private big data resources |
| title | Impact of big data resources on clinicians’ activation of prior medical knowledge |
| title_full | Impact of big data resources on clinicians’ activation of prior medical knowledge |
| title_fullStr | Impact of big data resources on clinicians’ activation of prior medical knowledge |
| title_full_unstemmed | Impact of big data resources on clinicians’ activation of prior medical knowledge |
| title_short | Impact of big data resources on clinicians’ activation of prior medical knowledge |
| title_sort | impact of big data resources on clinicians activation of prior medical knowledge |
| topic | Big data resources Activation of prior medical knowledge Shared big data resources Private big data resources |
| url | http://www.sciencedirect.com/science/article/pii/S2405844022016000 |
| work_keys_str_mv | AT sufenwang impactofbigdataresourcesoncliniciansactivationofpriormedicalknowledge AT junyiyuan impactofbigdataresourcesoncliniciansactivationofpriormedicalknowledge AT changqingpan impactofbigdataresourcesoncliniciansactivationofpriormedicalknowledge |