Titre : Informatique médicale

Informatique médicale : Questions médicales fréquentes

Questions fréquentes et termes MeSH associés

Diagnostic 5

#1

Comment l'informatique aide-t-elle au diagnostic médical ?

Elle permet l'analyse de données cliniques et l'utilisation d'algorithmes pour des diagnostics précis.
Informatique médicale Diagnostic médical
#2

Quels outils informatiques sont utilisés pour le diagnostic ?

Les systèmes d'aide à la décision clinique et les logiciels d'imagerie médicale sont courants.
Systèmes d'aide à la décision Imagerie médicale
#3

L'IA peut-elle améliorer le diagnostic ?

Oui, l'intelligence artificielle analyse des données massives pour identifier des patterns diagnostiques.
Intelligence artificielle Diagnostic médical
#4

Qu'est-ce qu'un dossier médical électronique ?

C'est un système numérique qui stocke les informations de santé d'un patient pour un accès facile.
Dossier médical électronique Informatique médicale
#5

Comment les bases de données aident-elles au diagnostic ?

Elles centralisent les informations cliniques pour faciliter l'accès et l'analyse des données.
Bases de données Diagnostic médical

Symptômes 5

#1

Comment l'informatique suit-elle les symptômes des patients ?

Des applications permettent aux patients de signaler leurs symptômes en temps réel.
Symptômes Applications de santé
#2

Les systèmes informatiques peuvent-ils prédire des symptômes ?

Oui, en analysant des données historiques, ils peuvent identifier des tendances symptomatiques.
Prédiction Symptômes
#3

Quel rôle des questionnaires numériques dans le suivi des symptômes ?

Ils standardisent la collecte d'informations sur les symptômes pour une meilleure analyse.
Questionnaires Symptômes
#4

Comment les alertes informatiques aident-elles à détecter des symptômes ?

Elles notifient les professionnels de santé en cas de changements significatifs dans les données.
Alertes Symptômes
#5

Les applications mobiles peuvent-elles suivre les symptômes ?

Oui, elles permettent aux utilisateurs de consigner et d'analyser leurs symptômes quotidiennement.
Applications mobiles Symptômes

Prévention 5

#1

Comment l'informatique contribue-t-elle à la prévention des maladies ?

Elle analyse les données de santé pour identifier les facteurs de risque et proposer des actions préventives.
Prévention Facteurs de risque
#2

Quels outils numériques sont utilisés pour la prévention ?

Les applications de santé et les plateformes de sensibilisation sont couramment utilisées.
Applications de santé Prévention
#3

L'informatique peut-elle aider à la vaccination ?

Oui, elle gère les données de vaccination et envoie des rappels aux patients.
Vaccination Informatique médicale
#4

Comment les campagnes de santé utilisent-elles l'informatique ?

Elles exploitent les données pour cibler les populations à risque et évaluer l'impact des interventions.
Campagnes de santé Prévention
#5

Les réseaux sociaux jouent-ils un rôle dans la prévention ?

Oui, ils sensibilisent le public aux comportements sains et aux risques de santé.
Réseaux sociaux Prévention

Traitements 5

#1

Comment l'informatique optimise-t-elle les traitements médicaux ?

Elle permet de personnaliser les traitements en fonction des données spécifiques du patient.
Personnalisation des traitements Informatique médicale
#2

Quels systèmes aident à la gestion des traitements ?

Les systèmes de gestion des prescriptions et les plateformes de suivi des traitements sont utilisés.
Gestion des prescriptions Traitements
#3

L'informatique peut-elle surveiller l'efficacité des traitements ?

Oui, elle analyse les résultats cliniques pour évaluer l'efficacité des traitements administrés.
Efficacité des traitements Informatique médicale
#4

Comment les algorithmes aident-ils à choisir un traitement ?

Ils analysent les données des patients pour recommander des options de traitement adaptées.
Algorithmes Traitements
#5

Les téléconsultations influencent-elles les traitements ?

Oui, elles permettent un accès rapide aux soins et un suivi régulier des traitements.
Téléconsultation Traitements

Complications 5

#1

Comment l'informatique aide-t-elle à gérer les complications médicales ?

Elle permet un suivi en temps réel des complications et une intervention rapide des professionnels.
Complications médicales Informatique médicale
#2

Les alertes informatiques peuvent-elles prévenir des complications ?

Oui, elles signalent des anomalies dans les données qui pourraient indiquer des complications.
Alertes Complications médicales
#3

Comment les données historiques aident-elles à anticiper les complications ?

L'analyse des données passées permet d'identifier des tendances et de prévoir des complications.
Données historiques Complications médicales
#4

Les systèmes de gestion des patients aident-ils à prévenir les complications ?

Oui, ils assurent un suivi régulier et une coordination des soins pour éviter les complications.
Gestion des patients Complications médicales
#5

Comment l'informatique aide-t-elle à la recherche sur les complications ?

Elle facilite la collecte et l'analyse de données pour mieux comprendre et traiter les complications.
Recherche médicale Complications médicales

Facteurs de risque 5

#1

Comment l'informatique identifie-t-elle les facteurs de risque ?

Elle analyse les données démographiques et cliniques pour détecter des facteurs de risque potentiels.
Facteurs de risque Informatique médicale
#2

Quels outils aident à évaluer les facteurs de risque ?

Les logiciels d'évaluation des risques et les questionnaires standardisés sont utilisés.
Évaluation des risques Facteurs de risque
#3

L'informatique peut-elle prédire des facteurs de risque ?

Oui, en utilisant des modèles prédictifs basés sur des données historiques et des tendances.
Modèles prédictifs Facteurs de risque
#4

Comment les bases de données aident-elles à étudier les facteurs de risque ?

Elles centralisent les informations nécessaires pour des analyses épidémiologiques approfondies.
Bases de données Facteurs de risque
#5

Les applications de santé peuvent-elles évaluer les facteurs de risque ?

Oui, elles permettent aux utilisateurs de répondre à des questionnaires et d'obtenir des évaluations.
Applications de santé Facteurs de risque
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"MedicalWebPage", "name": "MEDLARS", "alternateName": "MEDLARS", "url": "https://questionsmedicales.fr/mesh/D008523", "about": { "@type": "MedicalCondition", "name": "MEDLARS", "code": { "@type": "MedicalCode", "code": "D008523", "codingSystem": "MeSH" }, "identifier": { "@type": "PropertyValue", "propertyID": "MeSH Tree", "value": "L01.313.500.750.300.710" } } }, { "@type": "MedicalWebPage", "name": "Systèmes en direct", "alternateName": "Online Systems", "url": "https://questionsmedicales.fr/mesh/D009862", "about": { "@type": "MedicalCondition", "name": "Systèmes en direct", "code": { "@type": "MedicalCode", "code": "D009862", "codingSystem": "MeSH" }, "identifier": { "@type": "PropertyValue", "propertyID": "MeSH Tree", "value": "L01.313.500.750.300.742" } } }, { "@type": "MedicalWebPage", "name": "Systèmes d'aide-mémoire", "alternateName": "Reminder Systems", "url": "https://questionsmedicales.fr/mesh/D017010", "about": { "@type": "MedicalCondition", "name": "Systèmes d'aide-mémoire", "code": { "@type": "MedicalCode", "code": "D017010", "codingSystem": "MeSH" }, "identifier": { "@type": "PropertyValue", "propertyID": "MeSH Tree", "value": "L01.313.500.750.300.790" } } } ] }, { "@type": "MedicalWebPage", "name": "Traitement informatique médical", "alternateName": "Medical Informatics Computing", "url": "https://questionsmedicales.fr/mesh/D008492", "about": { "@type": "MedicalCondition", "name": "Traitement informatique médical", "code": { "@type": "MedicalCode", "code": "D008492", "codingSystem": "MeSH" }, "identifier": { "@type": "PropertyValue", "propertyID": "MeSH Tree", "value": "L01.313.500.875" } } } ], "about": { "@type": "MedicalCondition", "name": "Informatique médicale", "alternateName": "Medical Informatics", "code": { "@type": "MedicalCode", "code": "D008490", "codingSystem": "MeSH" } }, "author": [ { "@type": "Person", "name": "Elske Ammenwerth", "url": "https://questionsmedicales.fr/author/Elske%20Ammenwerth", "affiliation": { "@type": "Organization", "name": "UMIT - Private University for Health Scienes, Medical Informatics and Technology, Hall in Tirol, Austria." } }, { "@type": "Person", "name": "Dagmar Krefting", "url": "https://questionsmedicales.fr/author/Dagmar%20Krefting", "affiliation": { "@type": "Organization", "name": "Department of Medical Informatics, University Medical Center, Goettingen, Germany." } }, { "@type": "Person", "name": "Casimir A Kulikowski", "url": "https://questionsmedicales.fr/author/Casimir%20A%20Kulikowski", "affiliation": { "@type": "Organization", "name": "Rutgers University, Piscataway, NJ, USA." } }, { "@type": "Person", "name": "None None", "url": "https://questionsmedicales.fr/author/None%20None", "affiliation": { "@type": "Organization", "name": "" } }, { "@type": "Person", "name": "Nils-Hendrik Benning", "url": "https://questionsmedicales.fr/author/Nils-Hendrik%20Benning", "affiliation": { "@type": "Organization", "name": "Institute of Medical Biometry and Informatics, Heidelberg University, Heidelberg, Germany." } } ], "citation": [ { "@type": "ScholarlyArticle", "name": "Fellows of the American Medical Informatics Association (FAMIA): Looking Back and Looking Ahead.", "datePublished": "2024-08-07", "url": "https://questionsmedicales.fr/article/39111297", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1055/s-0044-1788658" } }, { "@type": "ScholarlyArticle", "name": "Imaging Informatics Education in Clinical Informatics Programs: Perspective from Imaging and Clinical Informatics Professionals.", "datePublished": "2024-09-18", "url": "https://questionsmedicales.fr/article/39293649", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1055/s-0044-1788327" } }, { "@type": "ScholarlyArticle", "name": "Clinical Informatics in Critical Care Medicine.", "datePublished": "2023-09-29", "url": "https://questionsmedicales.fr/article/37780994", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.59249/WTTU3055" } }, { "@type": "ScholarlyArticle", "name": "The Leaders in Informatics, Quality, and Systems (LInQS) Fellowship.", "datePublished": "2024-10-30", "url": "https://questionsmedicales.fr/article/39477247", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1055/s-0044-1790550" } }, { "@type": "ScholarlyArticle", "name": "Primary Care Informatics: Vitalizing the Bedrock of Health Care.", "datePublished": "2024-10-15", "url": "https://questionsmedicales.fr/article/39405512", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.2196/60081" } } ], "breadcrumb": { "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "questionsmedicales.fr", "item": "https://questionsmedicales.fr" }, { "@type": "ListItem", "position": 2, "name": "Sciences de l'information", "item": "https://questionsmedicales.fr/mesh/D007254" }, { "@type": "ListItem", "position": 3, "name": "Informatique", "item": "https://questionsmedicales.fr/mesh/D048088" }, { "@type": "ListItem", "position": 4, "name": "Informatique médicale", "item": "https://questionsmedicales.fr/mesh/D008490" } ] } }, { "@type": "MedicalWebPage", "name": "Article complet : Informatique médicale - Questions et réponses", "headline": "Questions et réponses médicales fréquentes sur Informatique médicale", "description": "Une compilation de questions et réponses structurées, validées par des experts médicaux.", "datePublished": "2026-08-25", "inLanguage": "fr", "hasPart": [ { "@type": "MedicalWebPage", "name": "Diagnostic", "headline": "Diagnostic sur Informatique médicale", "description": "Comment l'informatique aide-t-elle au diagnostic médical ?\nQuels outils informatiques sont utilisés pour le diagnostic ?\nL'IA peut-elle améliorer le diagnostic ?\nQu'est-ce qu'un dossier médical électronique ?\nComment les bases de données aident-elles au diagnostic ?", "url": "https://questionsmedicales.fr/mesh/D008490#section-diagnostic" }, { "@type": "MedicalWebPage", "name": "Symptômes", "headline": "Symptômes sur Informatique médicale", "description": "Comment l'informatique suit-elle les symptômes des patients ?\nLes systèmes informatiques peuvent-ils prédire des symptômes ?\nQuel rôle des questionnaires numériques dans le suivi des symptômes ?\nComment les alertes informatiques aident-elles à détecter des symptômes ?\nLes applications mobiles peuvent-elles suivre les symptômes ?", "url": "https://questionsmedicales.fr/mesh/D008490#section-symptômes" }, { "@type": "MedicalWebPage", "name": "Prévention", "headline": "Prévention sur Informatique médicale", "description": "Comment l'informatique contribue-t-elle à la prévention des maladies ?\nQuels outils numériques sont utilisés pour la prévention ?\nL'informatique peut-elle aider à la vaccination ?\nComment les campagnes de santé utilisent-elles l'informatique ?\nLes réseaux sociaux jouent-ils un rôle dans la prévention ?", "url": "https://questionsmedicales.fr/mesh/D008490#section-prévention" }, { "@type": "MedicalWebPage", "name": "Traitements", "headline": "Traitements sur Informatique médicale", "description": "Comment l'informatique optimise-t-elle les traitements médicaux ?\nQuels systèmes aident à la gestion des traitements ?\nL'informatique peut-elle surveiller l'efficacité des traitements ?\nComment les algorithmes aident-ils à choisir un traitement ?\nLes téléconsultations influencent-elles les traitements ?", "url": "https://questionsmedicales.fr/mesh/D008490#section-traitements" }, { "@type": "MedicalWebPage", "name": "Complications", "headline": "Complications sur Informatique médicale", "description": "Comment l'informatique aide-t-elle à gérer les complications médicales ?\nLes alertes informatiques peuvent-elles prévenir des complications ?\nComment les données historiques aident-elles à anticiper les complications ?\nLes systèmes de gestion des patients aident-ils à prévenir les complications ?\nComment l'informatique aide-t-elle à la recherche sur les complications ?", "url": "https://questionsmedicales.fr/mesh/D008490#section-complications" }, { "@type": "MedicalWebPage", "name": "Facteurs de risque", "headline": "Facteurs de risque sur Informatique médicale", "description": "Comment l'informatique identifie-t-elle les facteurs de risque ?\nQuels outils aident à évaluer les facteurs de risque ?\nL'informatique peut-elle prédire des facteurs de risque ?\nComment les bases de données aident-elles à étudier les facteurs de risque ?\nLes applications de santé peuvent-elles évaluer les facteurs de risque ?", "url": "https://questionsmedicales.fr/mesh/D008490#section-facteurs de risque" } ] }, { "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "Comment l'informatique aide-t-elle au diagnostic médical ?", "position": 1, "acceptedAnswer": { "@type": "Answer", "text": "Elle permet l'analyse de données cliniques et l'utilisation d'algorithmes pour des diagnostics précis." } }, { "@type": "Question", "name": "Quels outils informatiques sont utilisés pour le diagnostic ?", "position": 2, "acceptedAnswer": { "@type": "Answer", "text": "Les systèmes d'aide à la décision clinique et les logiciels d'imagerie médicale sont courants." } }, { "@type": "Question", "name": "L'IA peut-elle améliorer le diagnostic ?", "position": 3, "acceptedAnswer": { "@type": "Answer", "text": "Oui, l'intelligence artificielle analyse des données massives pour identifier des patterns diagnostiques." } }, { "@type": "Question", "name": "Qu'est-ce qu'un dossier médical électronique ?", "position": 4, "acceptedAnswer": { "@type": "Answer", "text": "C'est un système numérique qui stocke les informations de santé d'un patient pour un accès facile." } }, { "@type": "Question", "name": "Comment les bases de données aident-elles au diagnostic ?", "position": 5, "acceptedAnswer": { "@type": "Answer", "text": "Elles centralisent les informations cliniques pour faciliter l'accès et l'analyse des données." } }, { "@type": "Question", "name": "Comment l'informatique suit-elle les symptômes des patients ?", "position": 6, "acceptedAnswer": { "@type": "Answer", "text": "Des applications permettent aux patients de signaler leurs symptômes en temps réel." } }, { "@type": "Question", "name": "Les systèmes informatiques peuvent-ils prédire des symptômes ?", "position": 7, "acceptedAnswer": { "@type": "Answer", "text": "Oui, en analysant des données historiques, ils peuvent identifier des tendances symptomatiques." } }, { "@type": "Question", "name": "Quel rôle des questionnaires numériques dans le suivi des symptômes ?", "position": 8, "acceptedAnswer": { "@type": "Answer", "text": "Ils standardisent la collecte d'informations sur les symptômes pour une meilleure analyse." } }, { "@type": "Question", "name": "Comment les alertes informatiques aident-elles à détecter des symptômes ?", "position": 9, "acceptedAnswer": { "@type": "Answer", "text": "Elles notifient les professionnels de santé en cas de changements significatifs dans les données." } }, { "@type": "Question", "name": "Les applications mobiles peuvent-elles suivre les symptômes ?", "position": 10, "acceptedAnswer": { "@type": "Answer", "text": "Oui, elles permettent aux utilisateurs de consigner et d'analyser leurs symptômes quotidiennement." } }, { "@type": "Question", "name": "Comment l'informatique contribue-t-elle à la prévention des maladies ?", "position": 11, "acceptedAnswer": { "@type": "Answer", "text": "Elle analyse les données de santé pour identifier les facteurs de risque et proposer des actions préventives." } }, { "@type": "Question", "name": "Quels outils numériques sont utilisés pour la prévention ?", "position": 12, "acceptedAnswer": { "@type": "Answer", "text": "Les applications de santé et les plateformes de sensibilisation sont couramment utilisées." } }, { "@type": "Question", "name": "L'informatique peut-elle aider à la vaccination ?", "position": 13, "acceptedAnswer": { "@type": "Answer", "text": "Oui, elle gère les données de vaccination et envoie des rappels aux patients." } }, { "@type": "Question", "name": "Comment les campagnes de santé utilisent-elles l'informatique ?", "position": 14, "acceptedAnswer": { "@type": "Answer", "text": "Elles exploitent les données pour cibler les populations à risque et évaluer l'impact des interventions." } }, { "@type": "Question", "name": "Les réseaux sociaux jouent-ils un rôle dans la prévention ?", "position": 15, "acceptedAnswer": { "@type": "Answer", "text": "Oui, ils sensibilisent le public aux comportements sains et aux risques de santé." } }, { "@type": "Question", "name": "Comment l'informatique optimise-t-elle les traitements médicaux ?", "position": 16, "acceptedAnswer": { "@type": "Answer", "text": "Elle permet de personnaliser les traitements en fonction des données spécifiques du patient." } }, { "@type": "Question", "name": "Quels systèmes aident à la gestion des traitements ?", "position": 17, "acceptedAnswer": { "@type": "Answer", "text": "Les systèmes de gestion des prescriptions et les plateformes de suivi des traitements sont utilisés." } }, { "@type": "Question", "name": "L'informatique peut-elle surveiller l'efficacité des traitements ?", "position": 18, "acceptedAnswer": { "@type": "Answer", "text": "Oui, elle analyse les résultats cliniques pour évaluer l'efficacité des traitements administrés." } }, { "@type": "Question", "name": "Comment les algorithmes aident-ils à choisir un traitement ?", "position": 19, "acceptedAnswer": { "@type": "Answer", "text": "Ils analysent les données des patients pour recommander des options de traitement adaptées." } }, { "@type": "Question", "name": "Les téléconsultations influencent-elles les traitements ?", "position": 20, "acceptedAnswer": { "@type": "Answer", "text": "Oui, elles permettent un accès rapide aux soins et un suivi régulier des traitements." } }, { "@type": "Question", "name": "Comment l'informatique aide-t-elle à gérer les complications médicales ?", "position": 21, "acceptedAnswer": { "@type": "Answer", "text": "Elle permet un suivi en temps réel des complications et une intervention rapide des professionnels." } }, { "@type": "Question", "name": "Les alertes informatiques peuvent-elles prévenir des complications ?", "position": 22, "acceptedAnswer": { "@type": "Answer", "text": "Oui, elles signalent des anomalies dans les données qui pourraient indiquer des complications." } }, { "@type": "Question", "name": "Comment les données historiques aident-elles à anticiper les complications ?", "position": 23, "acceptedAnswer": { "@type": "Answer", "text": "L'analyse des données passées permet d'identifier des tendances et de prévoir des complications." } }, { "@type": "Question", "name": "Les systèmes de gestion des patients aident-ils à prévenir les complications ?", "position": 24, "acceptedAnswer": { "@type": "Answer", "text": "Oui, ils assurent un suivi régulier et une coordination des soins pour éviter les complications." } }, { "@type": "Question", "name": "Comment l'informatique aide-t-elle à la recherche sur les complications ?", "position": 25, "acceptedAnswer": { "@type": "Answer", "text": "Elle facilite la collecte et l'analyse de données pour mieux comprendre et traiter les complications." } }, { "@type": "Question", "name": "Comment l'informatique identifie-t-elle les facteurs de risque ?", "position": 26, "acceptedAnswer": { "@type": "Answer", "text": "Elle analyse les données démographiques et cliniques pour détecter des facteurs de risque potentiels." } }, { "@type": "Question", "name": "Quels outils aident à évaluer les facteurs de risque ?", "position": 27, "acceptedAnswer": { "@type": "Answer", "text": "Les logiciels d'évaluation des risques et les questionnaires standardisés sont utilisés." } }, { "@type": "Question", "name": "L'informatique peut-elle prédire des facteurs de risque ?", "position": 28, "acceptedAnswer": { "@type": "Answer", "text": "Oui, en utilisant des modèles prédictifs basés sur des données historiques et des tendances." } }, { "@type": "Question", "name": "Comment les bases de données aident-elles à étudier les facteurs de risque ?", "position": 29, "acceptedAnswer": { "@type": "Answer", "text": "Elles centralisent les informations nécessaires pour des analyses épidémiologiques approfondies." } }, { "@type": "Question", "name": "Les applications de santé peuvent-elles évaluer les facteurs de risque ?", "position": 30, "acceptedAnswer": { "@type": "Answer", "text": "Oui, elles permettent aux utilisateurs de répondre à des questionnaires et d'obtenir des évaluations." } } ] } ] }
Dr Olivier Menir

Contenu validé par Dr Olivier Menir

Expert en Médecine, Optimisation des Parcours de Soins et Révision Médicale


Validation scientifique effectuée le 27/06/2026

Contenu vérifié selon les dernières recommandations médicales

Sous-catégories

26 au total
└─

Applications de l'informatique médicale

Medical Informatics Applications D008491 - L01.313.500.750
└─

Traitement informatique médical

Medical Informatics Computing D008492 - L01.313.500.875
└─└─

Prise de décision assistée par ordinateur

Decision Making, Computer-Assisted D003658 - L01.313.500.750.100
└─└─

Techniques d'aide à la décision

Decision Support Techniques D003661 - L01.313.500.750.190
└─└─

Systèmes d'information

Information Systems D007256 - L01.313.500.750.300
└─└─└─

Diagnostic assisté par ordinateur

Diagnosis, Computer-Assisted D003936 - L01.313.500.750.100.158
└─└─└─

Thérapie assistée par ordinateur

Therapy, Computer-Assisted D013813 - L01.313.500.750.100.710
└─└─└─

Processus d'analyse hiérarchique"

Analytic Hierarchy Process D000083062 - L01.313.500.750.190.095
└─└─└─

Règles de décision clinique

Clinical Decision Rules D000081415 - L01.313.500.750.190.190
└─└─└─

Grateful Med

Grateful Med D016240 - L01.313.500.750.280.400
└─└─└─

MedlinePlus

MedlinePlus D049293 - L01.313.500.750.280.730
└─└─└─

Mégadonnées

Big Data D000077558 - L01.313.500.750.300.092
└─└─└─

Systèmes d'aide à la décision clinique

Decision Support Systems, Clinical D020000 - L01.313.500.750.300.190
└─└─└─

Systèmes d'information sur la santé

Health Information Systems D063005 - L01.313.500.750.300.361
└─└─└─

Integrated advanced information management systems (USA)

Integrated Advanced Information Management Systems D016490 - L01.313.500.750.300.420
└─└─└─

Bases de connaissances

Knowledge Bases D051188 - L01.313.500.750.300.550
└─└─└─

MEDLARS

MEDLARS D008523 - L01.313.500.750.300.710
└─└─└─

Systèmes en direct

Online Systems D009862 - L01.313.500.750.300.742
└─└─└─

Systèmes d'aide-mémoire

Reminder Systems D017010 - L01.313.500.750.300.790
└─└─└─└─

Interprétation d'images assistée par ordinateur

Image Interpretation, Computer-Assisted D007090 - L01.313.500.750.100.158.600
└─└─└─└─

Pharmacothérapie assistée par ordinateur

Drug Therapy, Computer-Assisted D004360 - L01.313.500.750.100.710.180
└─└─└─└─

Radiothérapie assistée par ordinateur

Radiotherapy, Computer-Assisted D011881 - L01.313.500.750.100.710.600
└─└─└─└─└─

Interprétation d'images radiographiques assistée par ordinateur

Radiographic Image Interpretation, Computer-Assisted D011857 - L01.313.500.750.100.158.600.680
└─└─└─└─└─

Radiothérapie conformationnelle

Radiotherapy, Conformal D020266 - L01.313.500.750.100.710.600.550
└─└─└─└─└─

Planification de radiothérapie assistée par ordinateur

Radiotherapy Planning, Computer-Assisted D011880 - L01.313.500.750.100.710.600.608
└─└─└─└─└─└─

Radiothérapie conformationnelle avec modulation d'intensité

Radiotherapy, Intensity-Modulated D050397 - L01.313.500.750.100.710.600.550.700

Auteurs principaux

Elske Ammenwerth

5 publications dans cette catégorie

Affiliations :
  • UMIT - Private University for Health Scienes, Medical Informatics and Technology, Hall in Tirol, Austria.

Dagmar Krefting

4 publications dans cette catégorie

Affiliations :
  • Department of Medical Informatics, University Medical Center, Goettingen, Germany.

Casimir A Kulikowski

3 publications dans cette catégorie

Affiliations :
  • Rutgers University, Piscataway, NJ, USA.

None None

3 publications dans cette catégorie

Publications dans "Informatique médicale" :

Nils-Hendrik Benning

3 publications dans cette catégorie

Affiliations :
  • Institute of Medical Biometry and Informatics, Heidelberg University, Heidelberg, Germany.

Petra Knaup

3 publications dans cette catégorie

Affiliations :
  • Institute of Medical Biometry and Informatics, Heidelberg University, Germany.

George I Mihalas

2 publications dans cette catégorie

Affiliations :
  • Victor Babes University of Medicine and Pharmacy, Timisoara, Romania.
Publications dans "Informatique médicale" :

Reinhold Haux

2 publications dans cette catégorie

Publications dans "Informatique médicale" :

Alfred Winter

2 publications dans cette catégorie

Affiliations :
  • Institute of Medical Informatics, Statistics and Epidemiology, Leipzig University, Germany.
Publications dans "Informatique médicale" :

Arie Hasman

2 publications dans cette catégorie

Affiliations :
  • Dept. of Medical Informatics, Amsterdam UMC, location AMC, Amsterdam, the Netherlands.
Publications dans "Informatique médicale" :

Adela Grando

2 publications dans cette catégorie

Affiliations :
  • College of Health Solutions, Arizona State University, Phoenix, AZ 85004, United States.

John Mantas

2 publications dans cette catégorie

Affiliations :
  • Health Informatics Lab, School of Health Sciences, National and Kapodistrian University of Athens, Greece.

Christoph U Lehmann

2 publications dans cette catégorie

Affiliations :
  • Clinical Informatics Center, University of Texas Southwestern Medical Center, United States.
Publications dans "Informatique médicale" :

Ramo Šendelj

2 publications dans cette catégorie

Affiliations :
  • University of Donja Gorica, Montenegro.
Publications dans "Informatique médicale" :

Ivana Ognjanović

2 publications dans cette catégorie

Affiliations :
  • University of Donja Gorica, Montenegro.
Publications dans "Informatique médicale" :

Paul Schmücker

2 publications dans cette catégorie

Affiliations :
  • Institute for Medical Informatics, University of Applied Sciences Mannheim, Mannheim, Germany.
Publications dans "Informatique médicale" :

Christina Schüttler

2 publications dans cette catégorie

Affiliations :
  • Central Biobank Erlangen, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Publications dans "Informatique médicale" :

Martin Sedlmayr

2 publications dans cette catégorie

Affiliations :
  • Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
  • Center for Scalable Data Analytics and Artificial Intelligence, Dresden, Germany.
Publications dans "Informatique médicale" :

Murat Sariyar

2 publications dans cette catégorie

Affiliations :
  • Bern University of Appl. Sciences, Switzerland.
Publications dans "Informatique médicale" :

Gretchen P Jackson

2 publications dans cette catégorie

Affiliations :
  • Intuitive Surgical (Digital), Sunnyvale, CA 94086, United States.
  • Department of Surgery, Vanderbilt University Medical Center, Nashville, TN 37064, United States.
  • Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN 37204, United States.
  • Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States.
Publications dans "Informatique médicale" :

Sources (10000 au total)

Fellows of the American Medical Informatics Association (FAMIA): Looking Back and Looking Ahead.

Over the past 30 years, the American Medical Informatics Association (AMIA) has played a pivotal role in fostering a collaborative community for professionals in biomedical and health informatics. As ... To outline the evolution of the FAMIA program and shed light on its origins, development, and impact. This report explores factors that led to the establishment of FAMIA, considerations affecting its ... The development of FAMIA is examined through a historical lens, encompassing key milestones, discussions, and decisions that shaped the program. Insights into the formation of FAMIA were gathered thro... The FAMIA program has inducted five classes, totaling 602 fellows. An overview of disciplines, roles, and application pathways for FAMIA members is provided. A comparative analysis with other fellow r... Now in its sixth year, FAMIA acknowledges the growing influence of applied informatics within health information professionals, recognizing individuals with experience, training, and a commitment to t...

Imaging Informatics Education in Clinical Informatics Programs: Perspective from Imaging and Clinical Informatics Professionals.

Imaging and Clinical Informatics are domains of biomedical informatics. Imaging Informatics topics are often not covered in depth in most Clinical Informatics fellowships. While dedicated Imaging Info... We compared published curricula and test content between Clinical and Imaging Informatics fellowship programs. We then highlighted differences between training programs and identified overlapping topi... Published consensus curricula and topics were extracted for each specialty. Two informaticists compared topics as shared or not shared between specialties. Next, test content outlines were compared fo... There were 139 Clinical Informatics topics compared with 97 Imaging Informatics topics. Of the 139 Clinical Informatics topics, 115 (83%) were covered in the Imaging Informatics curriculum. Of the 97 ... Imaging Informatics and Clinical Informatics fellowship programs have some overlap with areas unique to each. Our review may help guide those seeking informatics education and potential certification....

The Leaders in Informatics, Quality, and Systems (LInQS) Fellowship.

Leaders in Informatics, Quality, and Systems (LInQS) is a non-ACGME (Accreditation Council for Graduate Medical Education)-accredited 2-year training program developed to enhance training in the field... This single-institution 2-year longitudinal training program grounded in QI and informed by leadership and clinical informatics includes didactics, coaching, and mentorship, all centered around indivi... From 2019 to 2023, 32 fellows have been accepted into the program with 13 graduates and 16 currently enrolled. Fellows have been predominately female, physicians, and from multiple specialties but pre... Our experience supports the need to provide health care providers more expansive training in the areas of QI, clinical informatics, and leadership for improving health care delivery. Additional in-dep...

Preparing Future Pediatric Care Providers with a Clinical Informatics Elective.

Clinical informatics (CI) has reshaped how medical information is shared, evaluated, and utilized in health care delivery. The widespread integration of electronic health records (EHRs) mandates profi... We developed a CI rotation at a tertiary pediatric care center to teach categorical pediatric, pediatric-neurology, and medicine-pediatric residents foundational CI knowledge and applicable EHR skills... Created in 2017 and redesigned in 2020, a CI rotation aimed to provide foundational CI knowledge, promote longitudinal learning, and encourage real-world application of CI skills/tools. Led by a team ... Thirty-one residents have completed the elective with their projects contributing to diverse areas such as medical education, division-specific initiatives, documentation improvement, regulatory compl... Medical trainees are increasingly interested in CI education and find it valuable. Our medical education curriculum was successful at increasing residents' understanding, self-efficacy, and confidence...

A Standard Approach to Project-Based Learning in a Clinical Informatics Fellowship.

The Accreditation Council for Graduate Medical Education suggests that Clinical Informatics (CI) fellowship programs foster broad skills, which include collaboration and project management. However, t... This study aimed to describe a standard approach to project-based learning for CI, to share its implementation, and to discuss lessons learned.... We created a standard approach to project-based learning based on concepts from adult learning theory, the project life cycle framework, the Toyota Production System, and Improvement Science.... With this standard approach in place, we learned how best to support fellows in its use. In addition to this approach to supporting needs assessment, risk/change management, implementation, and evalua... Fellows are uniquely positioned to ensure the success of projects due to their increased availability and protected time compared with attendings. They are readily available for project teams to draw ... Project-based learning can ensure that many general CI learning objectives are supported inherently. It reinforces project management teachings, while providing fellows with a marketable project portf...

Creating a health informatics data resource for hearing health research.

The National Institute of Health and Social Care Research (NIHR) Health Informatics Collaborative (HIC) for Hearing Health has been established in the UK to curate routinely collected hearing health d... After identifying key research aims in hearing health, the governance structure for the NIHR HIC for Hearing Health is described. The Observational Medical Outcomes Partnership (OMOP) was chosen as ou... The NIHR HIC Hearing Health theme have developed a data architecture outlying the flow of data from all of the various siloed electronic patient record systems to allow the effective linkage of data f... This study identified priority research areas where routinely collected hearing health data could be useful. It demonstrates integration and standardisation of such data into a common data model from ...