Intérêt du traitement automatique de langage (TAL) pour constituer une base de données structurées de 1125 patients ayant une polyarthrite rhumatoïde

Bergier, H.; Fabacher, T.; Sedmak, N.; Sauleau, E.; Gottenberg, Jacques Éric

doi:10.1016/j.rhum.2022.10.045

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“…Phenotyping conditions like mixed connective tissue disease because of their diverse presentations can also help determine the best course treatment. 15 Digitizing our medical records may help us in predicting disease activity flares before they even manifest [16][17][18] preventing high costs of admissions or needing an intensive care unit. Identifying social media perceptions of patients 19 may also help improve communication during outpatient consults.…”

Section: A S a Clini Cianmentioning

confidence: 99%

Class‐Rheum for AI: Reflections from a Filipino Rheumatologist and Health Informatics graduate student

Traboco

2024

Int J of Rheum Dis

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In 2019, when I returned to the university for my master's studies in Health Informatics, we had no subject particular to artificial intelligence (AI). A pandemic and a few theses proposal delays later, we're learning about AI more voraciously than ever: studying the literature, listening to online podcasts, organizing lectures, and coffee meeting groups with the Department of Computer Science. I am grateful to receive knowledge from my more experienced international colleagues, in the meantime 1,2 but as a graduate student, I am still an explorer. An explorer, since I am only the third Filipino Rheumatologist in Health Informatics, caught amid a country undergoing a socio-technical transition. 3 Despite the challenges of this transition such as partial implementation and selective participation of stakeholders, many of my colleagues in Health Informatics are frontline, leaders, and drivers of this change. But before AI can even take place, the Philippines must digitize its healthcare services as part of the plan to provide universal healthcare. 4 My institution began plans for digitization only

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Section: A S a Clini Cianmentioning

confidence: 99%

Class‐Rheum for AI: Reflections from a Filipino Rheumatologist and Health Informatics graduate student

Traboco

2024

Int J of Rheum Dis

View full text Add to dashboard Cite

show abstract

Intérêt du traitement automatique de langage (TAL) pour constituer une base de données structurées de 1125 patients ayant une polyarthrite rhumatoïde

Cited by 1 publication

References 0 publications

Class‐Rheum for AI: Reflections from a Filipino Rheumatologist and Health Informatics graduate student

Class‐Rheum for AI: Reflections from a Filipino Rheumatologist and Health Informatics graduate student

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