Titre : Révision et fixation des tarifs

Révision et fixation des tarifs : Questions médicales fréquentes

Termes MeSH sélectionnés :

Deep Learning
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symptômes indiquent un besoin de révision tarifaire ?\nComment identifier des anomalies tarifaires ?\nQuels signes montrent une surcharge tarifaire ?\nComment les patients perçoivent-ils les tarifs ?\nQuels impacts les tarifs ont-ils sur la santé publique ?", "url": "https://questionsmedicales.fr/mesh/D011907?mesh_terms=Deep+Learning&page=1000#section-symptômes" }, { "@type": "MedicalWebPage", "name": "Prévention", "headline": "Prévention sur Révision et fixation des tarifs", "description": "Comment la prévention impacte-t-elle les tarifs ?\nQuels programmes de prévention sont souvent financés ?\nComment sensibiliser à la prévention des coûts ?\nQuels sont les bénéfices économiques de la prévention ?\nComment intégrer la prévention dans la fixation des tarifs ?", "url": "https://questionsmedicales.fr/mesh/D011907?mesh_terms=Deep+Learning&page=1000#section-prévention" }, { "@type": "MedicalWebPage", "name": "Traitements", "headline": "Traitements sur Révision et fixation des tarifs", "description": "Comment ajuster les tarifs des traitements ?\nQuels traitements sont souvent révisés ?\nComment les tarifs influencent-ils les choix de traitement ?\nQuels traitements nécessitent une évaluation continue des tarifs ?\nComment les assureurs fixent-ils les tarifs des traitements ?", "url": "https://questionsmedicales.fr/mesh/D011907?mesh_terms=Deep+Learning&page=1000#section-traitements" }, { "@type": "MedicalWebPage", "name": "Complications", "headline": "Complications sur Révision et fixation des tarifs", "description": "Quelles complications peuvent résulter de tarifs inappropriés ?\nComment les complications affectent-elles les coûts ?\nQuels types de complications sont souvent sous-évalués ?\nComment prévenir les complications liées aux tarifs ?\nQuels impacts les complications ont-elles sur le système de santé ?", "url": "https://questionsmedicales.fr/mesh/D011907?mesh_terms=Deep+Learning&page=1000#section-complications" }, { "@type": "MedicalWebPage", "name": "Facteurs de risque", "headline": "Facteurs de risque sur Révision et fixation des tarifs", "description": "Quels facteurs de risque influencent les tarifs ?\nComment les facteurs socio-économiques affectent-ils les tarifs ?\nQuels comportements de santé influencent les tarifs ?\nComment les politiques de santé abordent-elles les facteurs de risque ?\nQuels sont les impacts des facteurs de risque sur les tarifs ?", "url": "https://questionsmedicales.fr/mesh/D011907?mesh_terms=Deep+Learning&page=1000#section-facteurs de risque" } ] }, { "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "Comment évaluer les tarifs des soins de santé ?", "position": 1, "acceptedAnswer": { "@type": "Answer", "text": "Les tarifs sont évalués en fonction des coûts, de la qualité des soins et des besoins des patients." } }, { "@type": "Question", "name": "Quels critères influencent la fixation des tarifs ?", "position": 2, "acceptedAnswer": { "@type": "Answer", "text": "Les critères incluent les coûts des services, les résultats cliniques et les normes de qualité." } }, { "@type": "Question", "name": "Qui participe à la révision des tarifs ?", "position": 3, "acceptedAnswer": { "@type": "Answer", "text": "Les parties prenantes incluent les gouvernements, les assureurs, les prestataires et les patients." } }, { "@type": "Question", "name": "Quels outils sont utilisés pour la révision des tarifs ?", "position": 4, "acceptedAnswer": { "@type": "Answer", "text": "Des analyses de coûts, des études de marché et des comparaisons internationales sont utilisés." } }, { "@type": "Question", "name": "Comment les tarifs affectent-ils l'accès aux soins ?", "position": 5, "acceptedAnswer": { "@type": "Answer", "text": "Des tarifs trop élevés peuvent limiter l'accès aux soins, surtout pour les populations vulnérables." } }, { "@type": "Question", "name": "Quels symptômes indiquent un besoin de révision tarifaire ?", "position": 6, "acceptedAnswer": { "@type": "Answer", "text": "Des plaintes fréquentes sur les coûts ou des inégalités d'accès peuvent signaler un besoin." } }, { "@type": "Question", "name": "Comment identifier des anomalies tarifaires ?", "position": 7, "acceptedAnswer": { "@type": "Answer", "text": "Des écarts importants entre les tarifs et les coûts réels peuvent indiquer des anomalies." } }, { "@type": "Question", "name": "Quels signes montrent une surcharge tarifaire ?", "position": 8, "acceptedAnswer": { "@type": "Answer", "text": "Une augmentation rapide des tarifs sans justification peut signaler une surcharge tarifaire." } }, { "@type": "Question", "name": "Comment les patients perçoivent-ils les tarifs ?", "position": 9, "acceptedAnswer": { "@type": "Answer", "text": "Les patients peuvent ressentir de l'anxiété ou de la frustration face à des tarifs élevés." } }, { "@type": "Question", "name": "Quels impacts les tarifs ont-ils sur la santé publique ?", "position": 10, "acceptedAnswer": { "@type": "Answer", "text": "Des tarifs inappropriés peuvent entraîner des retards de traitement et des complications de santé." } }, { "@type": "Question", "name": "Comment la prévention impacte-t-elle les tarifs ?", "position": 11, "acceptedAnswer": { "@type": "Answer", "text": "Des programmes de prévention efficaces peuvent réduire les coûts à long terme des soins de santé." } }, { "@type": "Question", "name": "Quels programmes de prévention sont souvent financés ?", "position": 12, "acceptedAnswer": { "@type": "Answer", "text": "Les programmes de vaccination et de dépistage sont souvent financés pour réduire les coûts futurs." } }, { "@type": "Question", "name": "Comment sensibiliser à la prévention des coûts ?", "position": 13, "acceptedAnswer": { "@type": "Answer", "text": "Des campagnes d'information peuvent sensibiliser le public à l'importance de la prévention." } }, { "@type": "Question", "name": "Quels sont les bénéfices économiques de la prévention ?", "position": 14, "acceptedAnswer": { "@type": "Answer", "text": "La prévention peut réduire les hospitalisations et les traitements coûteux, économisant ainsi des fonds." } }, { "@type": "Question", "name": "Comment intégrer la prévention dans la fixation des tarifs ?", "position": 15, "acceptedAnswer": { "@type": "Answer", "text": "Les tarifs peuvent inclure des incitations pour les programmes de prévention et de bien-être." } }, { "@type": "Question", "name": "Comment ajuster les tarifs des traitements ?", "position": 16, "acceptedAnswer": { "@type": "Answer", "text": "Les tarifs doivent être ajustés en fonction des coûts réels et des résultats cliniques." } }, { "@type": "Question", "name": "Quels traitements sont souvent révisés ?", "position": 17, "acceptedAnswer": { "@type": "Answer", "text": "Les traitements coûteux ou innovants sont souvent sujets à des révisions tarifaires." } }, { "@type": "Question", "name": "Comment les tarifs influencent-ils les choix de traitement ?", "position": 18, "acceptedAnswer": { "@type": "Answer", "text": "Des tarifs élevés peuvent dissuader les patients de choisir certains traitements nécessaires." } }, { "@type": "Question", "name": "Quels traitements nécessitent une évaluation continue des tarifs ?", "position": 19, "acceptedAnswer": { "@type": "Answer", "text": "Les traitements en évolution rapide, comme les thérapies géniques, nécessitent une évaluation continue." } }, { "@type": "Question", "name": "Comment les assureurs fixent-ils les tarifs des traitements ?", "position": 20, "acceptedAnswer": { "@type": "Answer", "text": "Les assureurs fixent les tarifs en fonction des coûts, des données cliniques et des négociations." } }, { "@type": "Question", "name": "Quelles complications peuvent résulter de tarifs inappropriés ?", "position": 21, "acceptedAnswer": { "@type": "Answer", "text": "Des tarifs inappropriés peuvent entraîner des retards de traitement et des complications de santé." } }, { "@type": "Question", "name": "Comment les complications affectent-elles les coûts ?", "position": 22, "acceptedAnswer": { "@type": "Answer", "text": "Les complications augmentent les coûts des soins en nécessitant des traitements supplémentaires." } }, { "@type": "Question", "name": "Quels types de complications sont souvent sous-évalués ?", "position": 23, "acceptedAnswer": { "@type": "Answer", "text": "Les complications à long terme, comme les maladies chroniques, sont souvent sous-évaluées." } }, { "@type": "Question", "name": "Comment prévenir les complications liées aux tarifs ?", "position": 24, "acceptedAnswer": { "@type": "Answer", "text": "Une révision régulière des tarifs peut aider à prévenir les complications dues à des coûts excessifs." } }, { "@type": "Question", "name": "Quels impacts les complications ont-elles sur le système de santé ?", "position": 25, "acceptedAnswer": { "@type": "Answer", "text": "Les complications augmentent la charge sur le système de santé, entraînant des coûts supplémentaires." } }, { "@type": "Question", "name": "Quels facteurs de risque influencent les tarifs ?", "position": 26, "acceptedAnswer": { "@type": "Answer", "text": "Les facteurs de risque incluent l'âge, les comorbidités et les habitudes de vie des patients." } }, { "@type": "Question", "name": "Comment les facteurs socio-économiques affectent-ils les tarifs ?", "position": 27, "acceptedAnswer": { "@type": "Answer", "text": "Les patients à faible revenu peuvent faire face à des tarifs plus élevés, limitant leur accès aux soins." } }, { "@type": "Question", "name": "Quels comportements de santé influencent les tarifs ?", "position": 28, "acceptedAnswer": { "@type": "Answer", "text": "Des comportements comme le tabagisme ou l'obésité peuvent augmenter les coûts des soins de santé." } }, { "@type": "Question", "name": "Comment les politiques de santé abordent-elles les facteurs de risque ?", "position": 29, "acceptedAnswer": { "@type": "Answer", "text": "Les politiques de santé visent à réduire les facteurs de risque par des programmes de prévention." } }, { "@type": "Question", "name": "Quels sont les impacts des facteurs de risque sur les tarifs ?", "position": 30, "acceptedAnswer": { "@type": "Answer", "text": "Les facteurs de risque augmentent les coûts des soins, ce qui peut entraîner des révisions tarifaires." } } ] } ] }

Sources (10000 au total)

Deep anatomy learning for lung airway and artery-vein modeling with contrast-enhanced CT synthesis.

Endobronchial intervention requires detailed modeling of pulmonary anatomical substructure, such as lung airway and artery-vein maps, which are commonly extracted from non-contrast computed tomography... A multi-task framework is proposed to simultaneously generate three segmentation maps and synthesize CECTs. We first design a collaborative learning model with tissue knowledge interaction for lung ai... Extensive experiments were conducted to evaluate the performance of the proposed framework based on three datasets (90 NCCTs for the airway task, 55 NCCTs for the artery-vein task and 100 CECTs for th... This study demonstrates the model potential in multi-task learning that integrates anatomically relevant segmentation and performs NCCT to CECT translation. Such an interaction approach promotes mutua...

Deep learning approach for analyzing chest x-rays to predict cardiac events in heart failure.

A deep learning (DL) model based on a chest x-ray was reported to predict elevated pulmonary artery wedge pressure (PAWP) as heart failure (HF).... The aim of this study was to (1) investigate the role of probability of elevated PAWP for the prediction of clinical outcomes in association with other parameters, and (2) to evaluate whether probabil... We evaluated 192 patients hospitalized with HF. We used a previously developed AI model to predict HF and calculated probability of elevated PAWP. Readmission following HF and cardiac mortality were t... Probability of elevated PAWP was associated with diastolic function by echocardiography. During a median follow-up period of 58 months, 57 individuals either died or were readmitted. Probability of el... This study showed the potential of using a DL model on a chest x-ray to predict PAWP and its ability to add prognostic information to other conventional clinical prognostic factors in HF. The results ...

Detection of Paroxysmal Atrial Fibrillation from Dynamic ECG Recordings Based on a Deep Learning Model.

Atrial fibrillation (AF) is one of the most common arrhythmias clinically. Aging tends to increase the risk of AF, which also increases the burden of other comorbidities, including coronary artery dis... A deep learning model was used to detect atrial fibrillation. Here, a distinction was not made between AF and atrial flutter (AFL), both of which manifest as a similar pattern on an electrocardiogram ... The data used for training were obtained from the CPSC2021 Challenge, and were collected using dynamic ECG devices. Tests on four public datasets validated the availability of the proposed method. The...

Deep learning-based method for segmenting epithelial layer of tubules in histopathological images of testicular tissue.

There is growing concern that male reproduction is affected by environmental chemicals. One way to determine the adverse effect of environmental pollutants is to use wild animals as monitors and evalu... Testicular tissue consists of seminiferous tubules. Segmenting the epithelial layer of the seminiferous tubule is a prerequisite for developing automated methods to detect abnormalities in tissue. We ... We applied the proposed method for the two-class problem, where the epithelial layer of the tubule is the target class. The... The pretrained ResNet-34 in the encoder and attention block suggested in the decoder result in better segmentation and generalization. The proposed method can be applied to testicular tissue images fr...

Deep learning-based method for segmenting epithelial layer of tubules in histopathological images of testicular tissue.

There is growing concern that male reproduction is affected by environmental chemicals. One way to determine the adverse effect of environmental pollutants is to use wild animals as monitors and evalu... Testicular tissue consists of seminiferous tubules. Segmenting the epithelial layer of the seminiferous tubule is a prerequisite for developing automated methods to detect abnormalities in tissue. We ... We applied the proposed method for the two-class problem, where the epithelial layer of the tubule is the target class. The... The pretrained ResNet-34 in the encoder and attention block suggested in the decoder result in better segmentation and generalization. The proposed method can be applied to testicular tissue images fr...

Comprehensive clinical evaluation of deep learning-based auto-segmentation for radiotherapy in patients with cervical cancer.

Deep learning-based models have been actively investigated for various aspects of radiotherapy. However, for cervical cancer, only a few studies dealing with the auto-segmentation of organs-at-risk (O... A total of 180 abdominopelvic computed tomography images were included (training set, 165; validation set, 15). Geometric indices such as the Dice similarity coefficient (DSC) and the 95% Hausdorff di... The correlation between the manual and auto-segmented contours was acceptable for the anorectum, bladder, spinal cord, cauda equina, right and left femoral heads, bowel bag, uterocervix, liver, and le... The proposed deep learning-based auto-segmentation model may be an efficient tool for patients with cervical cancer undergoing radiotherapy. Although the current model may not completely replace human...