Artificial intelligence in medical referrals triage based on Clinical Prioritization Criteria
<p dir="ltr">The clinical prioritisation criteria (CPC) are a clinical decision support tool that ensures patients referred for public specialist outpatient services to Queensland Health are assessed according to their clinical urgency. Medical referrals are manually triaged and prio...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , , |
| منشور في: |
2023
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| _version_ | 1864513535671795712 |
|---|---|
| author | Ahmad Abdel-Hafez (17289934) |
| author2 | Melanie Jones (10948637) Maziiar Ebrahimabadi (17289937) Cathi Ryan (17289940) Steve Graham (4254718) Nicola Slee (17289943) Bernard Whitfield (17289946) |
| author2_role | author author author author author author |
| author_facet | Ahmad Abdel-Hafez (17289934) Melanie Jones (10948637) Maziiar Ebrahimabadi (17289937) Cathi Ryan (17289940) Steve Graham (4254718) Nicola Slee (17289943) Bernard Whitfield (17289946) |
| author_role | author |
| dc.creator.none.fl_str_mv | Ahmad Abdel-Hafez (17289934) Melanie Jones (10948637) Maziiar Ebrahimabadi (17289937) Cathi Ryan (17289940) Steve Graham (4254718) Nicola Slee (17289943) Bernard Whitfield (17289946) |
| dc.date.none.fl_str_mv | 2023-10-27T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.3389/fdgth.2023.1192975 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Artificial_intelligence_in_medical_referrals_triage_based_on_Clinical_Prioritization_Criteria/24717297 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Health sciences Health services and systems Information and computing sciences Artificial intelligence Data management and data science Machine learning medical referral electronic health records clinical decision support system machine learning text mining natural language processing artificial intelligence |
| dc.title.none.fl_str_mv | Artificial intelligence in medical referrals triage based on Clinical Prioritization Criteria |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">The clinical prioritisation criteria (CPC) are a clinical decision support tool that ensures patients referred for public specialist outpatient services to Queensland Health are assessed according to their clinical urgency. Medical referrals are manually triaged and prioritised into three categories by the associated health service before appointments are booked. We have developed a method using artificial intelligence to automate the process of categorizing medical referrals based on clinical prioritization criteria (CPC) guidelines. Using machine learning techniques, we have created a tool that can assist clinicians in sorting through the substantial number of referrals they receive each year, leading to more efficient use of clinical specialists' time and improved access to healthcare for patients. Our research included analyzing 17,378 ENT referrals from two hospitals in Queensland between 2019 and 2022. Our results show a level of agreement between referral categories and generated predictions of 53.8%.</p><h2>Other Information</h2><p dir="ltr">Published in: Frontiers in Digital Health<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3389/fdgth.2023.1192975" target="_blank">https://dx.doi.org/10.3389/fdgth.2023.1192975</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_47302069a299410c9836787fc7adc7fe |
| identifier_str_mv | 10.3389/fdgth.2023.1192975 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24717297 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Artificial intelligence in medical referrals triage based on Clinical Prioritization CriteriaAhmad Abdel-Hafez (17289934)Melanie Jones (10948637)Maziiar Ebrahimabadi (17289937)Cathi Ryan (17289940)Steve Graham (4254718)Nicola Slee (17289943)Bernard Whitfield (17289946)Health sciencesHealth services and systemsInformation and computing sciencesArtificial intelligenceData management and data scienceMachine learningmedical referralelectronic health recordsclinical decision support systemmachine learningtext miningnatural language processingartificial intelligence<p dir="ltr">The clinical prioritisation criteria (CPC) are a clinical decision support tool that ensures patients referred for public specialist outpatient services to Queensland Health are assessed according to their clinical urgency. Medical referrals are manually triaged and prioritised into three categories by the associated health service before appointments are booked. We have developed a method using artificial intelligence to automate the process of categorizing medical referrals based on clinical prioritization criteria (CPC) guidelines. Using machine learning techniques, we have created a tool that can assist clinicians in sorting through the substantial number of referrals they receive each year, leading to more efficient use of clinical specialists' time and improved access to healthcare for patients. Our research included analyzing 17,378 ENT referrals from two hospitals in Queensland between 2019 and 2022. Our results show a level of agreement between referral categories and generated predictions of 53.8%.</p><h2>Other Information</h2><p dir="ltr">Published in: Frontiers in Digital Health<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3389/fdgth.2023.1192975" target="_blank">https://dx.doi.org/10.3389/fdgth.2023.1192975</a></p>2023-10-27T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3389/fdgth.2023.1192975https://figshare.com/articles/journal_contribution/Artificial_intelligence_in_medical_referrals_triage_based_on_Clinical_Prioritization_Criteria/24717297CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/247172972023-10-27T03:00:00Z |
| spellingShingle | Artificial intelligence in medical referrals triage based on Clinical Prioritization Criteria Ahmad Abdel-Hafez (17289934) Health sciences Health services and systems Information and computing sciences Artificial intelligence Data management and data science Machine learning medical referral electronic health records clinical decision support system machine learning text mining natural language processing artificial intelligence |
| status_str | publishedVersion |
| title | Artificial intelligence in medical referrals triage based on Clinical Prioritization Criteria |
| title_full | Artificial intelligence in medical referrals triage based on Clinical Prioritization Criteria |
| title_fullStr | Artificial intelligence in medical referrals triage based on Clinical Prioritization Criteria |
| title_full_unstemmed | Artificial intelligence in medical referrals triage based on Clinical Prioritization Criteria |
| title_short | Artificial intelligence in medical referrals triage based on Clinical Prioritization Criteria |
| title_sort | Artificial intelligence in medical referrals triage based on Clinical Prioritization Criteria |
| topic | Health sciences Health services and systems Information and computing sciences Artificial intelligence Data management and data science Machine learning medical referral electronic health records clinical decision support system machine learning text mining natural language processing artificial intelligence |