Comparing the influence of big data resources on medical knowledge recall for staff with and without medical collaboration platform
Abstract Background This study aims to examine how big data resources affect the recall of prior medical knowledge by healthcare professionals, and how this differs in environments with and without remote consultation platforms. Method This study investigated two distinct categories of medical insti...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2023-12-01
|
| Series: | BMC Medical Education |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12909-023-04926-6 |
| _version_ | 1827581582695727104 |
|---|---|
| author | JunYi Yuan Linhui Mi SuFen Wang Yuejia Cheng Xumin Hou |
| author_facet | JunYi Yuan Linhui Mi SuFen Wang Yuejia Cheng Xumin Hou |
| author_sort | JunYi Yuan |
| collection | DOAJ |
| description | Abstract Background This study aims to examine how big data resources affect the recall of prior medical knowledge by healthcare professionals, and how this differs in environments with and without remote consultation platforms. Method This study investigated two distinct categories of medical institutions, namely 132 medical institutions with platforms, and 176 medical institutions without the platforms. Big data resources are categorized into two levels—medical institutional level and public level—and three types, namely data, technology, and services. The data are analyzed using SmartPLS2. Results (1) In both scenarios, shared big data resources at the public level have a significant direct impact on the recall of prior medical knowledge. However, there is a significant difference in the direct impact of big data resources at the institutional level in both scenarios. (2) In institutions with platforms, for the three big data resources (the medical big data assets and big data deployment technical capacity at the medical institutional level, and policies of medical big data at the public level) without direct impacts, there exist three indirect pathways. (3) In institutions without platforms, for the two big data resources (the service capability and big data technical capacity at the medical institutional level) without direct impacts, there exist three indirect pathways. Conclusions The different interactions between big data, technology, and services, as well as between different levels of big data resources, affect the way clinical doctors recall relevant medical knowledge. These interaction patterns vary between institutions with and without platforms. This study provides a reference for governments and institutions to design big data environments for improving clinical capabilities. |
| first_indexed | 2024-03-08T22:37:27Z |
| format | Article |
| id | doaj.art-7e2453a894e847619f3a8556c7229eb4 |
| institution | Directory Open Access Journal |
| issn | 1472-6920 |
| language | English |
| last_indexed | 2024-03-08T22:37:27Z |
| publishDate | 2023-12-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Education |
| spelling | doaj.art-7e2453a894e847619f3a8556c7229eb42023-12-17T12:20:53ZengBMCBMC Medical Education1472-69202023-12-0123112010.1186/s12909-023-04926-6Comparing the influence of big data resources on medical knowledge recall for staff with and without medical collaboration platformJunYi Yuan0Linhui Mi1SuFen Wang2Yuejia Cheng3Xumin Hou4Shanghai Chest Hospital, Shanghai Jiao Tong University School of MedicineShanghai Chest Hospital, Shanghai Jiao Tong University School of MedicineGlorious Sun School of Business and Management, Donghua UniversityShanghai Chest Hospital, Shanghai Jiao Tong University School of MedicineShanghai Chest Hospital, Shanghai Jiao Tong University School of MedicineAbstract Background This study aims to examine how big data resources affect the recall of prior medical knowledge by healthcare professionals, and how this differs in environments with and without remote consultation platforms. Method This study investigated two distinct categories of medical institutions, namely 132 medical institutions with platforms, and 176 medical institutions without the platforms. Big data resources are categorized into two levels—medical institutional level and public level—and three types, namely data, technology, and services. The data are analyzed using SmartPLS2. Results (1) In both scenarios, shared big data resources at the public level have a significant direct impact on the recall of prior medical knowledge. However, there is a significant difference in the direct impact of big data resources at the institutional level in both scenarios. (2) In institutions with platforms, for the three big data resources (the medical big data assets and big data deployment technical capacity at the medical institutional level, and policies of medical big data at the public level) without direct impacts, there exist three indirect pathways. (3) In institutions without platforms, for the two big data resources (the service capability and big data technical capacity at the medical institutional level) without direct impacts, there exist three indirect pathways. Conclusions The different interactions between big data, technology, and services, as well as between different levels of big data resources, affect the way clinical doctors recall relevant medical knowledge. These interaction patterns vary between institutions with and without platforms. This study provides a reference for governments and institutions to design big data environments for improving clinical capabilities.https://doi.org/10.1186/s12909-023-04926-6Big data resourcesRecall of prior medical knowledgeMedical collaboration platform |
| spellingShingle | JunYi Yuan Linhui Mi SuFen Wang Yuejia Cheng Xumin Hou Comparing the influence of big data resources on medical knowledge recall for staff with and without medical collaboration platform BMC Medical Education Big data resources Recall of prior medical knowledge Medical collaboration platform |
| title | Comparing the influence of big data resources on medical knowledge recall for staff with and without medical collaboration platform |
| title_full | Comparing the influence of big data resources on medical knowledge recall for staff with and without medical collaboration platform |
| title_fullStr | Comparing the influence of big data resources on medical knowledge recall for staff with and without medical collaboration platform |
| title_full_unstemmed | Comparing the influence of big data resources on medical knowledge recall for staff with and without medical collaboration platform |
| title_short | Comparing the influence of big data resources on medical knowledge recall for staff with and without medical collaboration platform |
| title_sort | comparing the influence of big data resources on medical knowledge recall for staff with and without medical collaboration platform |
| topic | Big data resources Recall of prior medical knowledge Medical collaboration platform |
| url | https://doi.org/10.1186/s12909-023-04926-6 |
| work_keys_str_mv | AT junyiyuan comparingtheinfluenceofbigdataresourcesonmedicalknowledgerecallforstaffwithandwithoutmedicalcollaborationplatform AT linhuimi comparingtheinfluenceofbigdataresourcesonmedicalknowledgerecallforstaffwithandwithoutmedicalcollaborationplatform AT sufenwang comparingtheinfluenceofbigdataresourcesonmedicalknowledgerecallforstaffwithandwithoutmedicalcollaborationplatform AT yuejiacheng comparingtheinfluenceofbigdataresourcesonmedicalknowledgerecallforstaffwithandwithoutmedicalcollaborationplatform AT xuminhou comparingtheinfluenceofbigdataresourcesonmedicalknowledgerecallforstaffwithandwithoutmedicalcollaborationplatform |