History information management strategy for minimising biases and noise for improved medical diagnosis
Despite measures for physicians’ excellence in diagnosis, the need for improvement of medical history techniques has been pointed out as one of the critical elements for improving diagnosis. Specific and proactive frameworks related to methods of effective history acquisition are needed to minimise...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2023-09-01
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| Series: | BMJ Open Quality |
| Online Access: | https://bmjopenquality.bmj.com/content/12/3/e002367.full |
| _version_ | 1797667726755364864 |
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| author | Taro Shimizu Itiel E Dror |
| author_facet | Taro Shimizu Itiel E Dror |
| author_sort | Taro Shimizu |
| collection | DOAJ |
| description | Despite measures for physicians’ excellence in diagnosis, the need for improvement of medical history techniques has been pointed out as one of the critical elements for improving diagnosis. Specific and proactive frameworks related to methods of effective history acquisition are needed to minimise bias and optimise decision-making. Therefore, this paper uses Linear Sequential Unmasking- Expanded to develop and propose a structured medical history acquisition strategy. The strength of this lies in its reliance on cognitive psychological processes. Breaking information gatherings and decisions into smaller tasks and ordering them correctly reduces cognitive load as well as minimises noise and bias cascade. Additionally, this approach can help physicians develop diagnostic expertise regardless of specialty. |
| first_indexed | 2024-03-11T20:18:34Z |
| format | Article |
| id | doaj.art-ec0b5e743c5148a2a00826eb0554d657 |
| institution | Directory Open Access Journal |
| issn | 2399-6641 |
| language | English |
| last_indexed | 2024-03-11T20:18:34Z |
| publishDate | 2023-09-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open Quality |
| spelling | doaj.art-ec0b5e743c5148a2a00826eb0554d6572023-10-03T10:30:07ZengBMJ Publishing GroupBMJ Open Quality2399-66412023-09-0112310.1136/bmjoq-2023-002367History information management strategy for minimising biases and noise for improved medical diagnosisTaro Shimizu0Itiel E Dror1Department of Diagnostic and Generalist Medicine, Dokkyo Medical University Hospital, Shimotsuga-gun, JapanCognitive Consultants International (CCI-HQ), London, UKDespite measures for physicians’ excellence in diagnosis, the need for improvement of medical history techniques has been pointed out as one of the critical elements for improving diagnosis. Specific and proactive frameworks related to methods of effective history acquisition are needed to minimise bias and optimise decision-making. Therefore, this paper uses Linear Sequential Unmasking- Expanded to develop and propose a structured medical history acquisition strategy. The strength of this lies in its reliance on cognitive psychological processes. Breaking information gatherings and decisions into smaller tasks and ordering them correctly reduces cognitive load as well as minimises noise and bias cascade. Additionally, this approach can help physicians develop diagnostic expertise regardless of specialty.https://bmjopenquality.bmj.com/content/12/3/e002367.full |
| spellingShingle | Taro Shimizu Itiel E Dror History information management strategy for minimising biases and noise for improved medical diagnosis BMJ Open Quality |
| title | History information management strategy for minimising biases and noise for improved medical diagnosis |
| title_full | History information management strategy for minimising biases and noise for improved medical diagnosis |
| title_fullStr | History information management strategy for minimising biases and noise for improved medical diagnosis |
| title_full_unstemmed | History information management strategy for minimising biases and noise for improved medical diagnosis |
| title_short | History information management strategy for minimising biases and noise for improved medical diagnosis |
| title_sort | history information management strategy for minimising biases and noise for improved medical diagnosis |
| url | https://bmjopenquality.bmj.com/content/12/3/e002367.full |
| work_keys_str_mv | AT taroshimizu historyinformationmanagementstrategyforminimisingbiasesandnoiseforimprovedmedicaldiagnosis AT itieledror historyinformationmanagementstrategyforminimisingbiasesandnoiseforimprovedmedicaldiagnosis |