Titre : Budgets

Budgets : Questions médicales fréquentes

Termes MeSH sélectionnés :

Machine Learning
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"acceptedAnswer": { "@type": "Answer", "text": "L'évaluation se fait par l'analyse des dépenses, des revenus et des besoins en santé." } }, { "@type": "Question", "name": "Quels indicateurs financiers sont utilisés ?", "position": 2, "acceptedAnswer": { "@type": "Answer", "text": "Les indicateurs incluent le coût par patient, le retour sur investissement et les dépenses par service." } }, { "@type": "Question", "name": "Qu'est-ce qu'un budget prévisionnel ?", "position": 3, "acceptedAnswer": { "@type": "Answer", "text": "C'est une estimation des dépenses et des revenus futurs pour planifier les ressources." } }, { "@type": "Question", "name": "Comment identifier les besoins budgétaires ?", "position": 4, "acceptedAnswer": { "@type": "Answer", "text": "Les besoins sont identifiés par l'analyse des données de santé et des tendances épidémiologiques." } }, { "@type": "Question", "name": "Quel rôle joue l'audit dans le budget ?", "position": 5, "acceptedAnswer": { "@type": "Answer", 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entraîner des services de santé insuffisants et une insatisfaction des patients." } }, { "@type": "Question", "name": "Comment évaluer la santé financière d'un établissement ?", "position": 10, "acceptedAnswer": { "@type": "Answer", "text": "L'évaluation se fait par l'analyse des bilans, des flux de trésorerie et des ratios financiers." } }, { "@type": "Question", "name": "Comment prévenir les dépassements budgétaires ?", "position": 11, "acceptedAnswer": { "@type": "Answer", "text": "La prévention passe par une planification rigoureuse, un suivi régulier et des ajustements proactifs." } }, { "@type": "Question", "name": "Quelles formations pour une meilleure gestion budgétaire ?", "position": 12, "acceptedAnswer": { "@type": "Answer", "text": "Des formations en gestion financière, en analyse de données et en leadership sont recommandées." } }, { "@type": "Question", "name": "Comment sensibiliser au respect du budget ?", "position": 13, "acceptedAnswer": { "@type": "Answer", "text": "La sensibilisation se fait par des campagnes d'information et des formations sur la gestion des ressources." } }, { "@type": "Question", "name": "Quels outils de suivi budgétaire ?", "position": 14, "acceptedAnswer": { "@type": "Answer", "text": "Les outils incluent des logiciels de comptabilité, des tableaux de bord et des rapports financiers." } }, { "@type": "Question", "name": "Comment établir un budget participatif ?", "position": 15, "acceptedAnswer": { "@type": "Answer", "text": "Un budget participatif implique les citoyens dans la planification et la décision des dépenses." } }, { "@type": "Question", "name": "Comment ajuster un budget de santé ?", "position": 16, "acceptedAnswer": { "@type": "Answer", "text": "Les ajustements se font en fonction des priorités de santé, des résultats et des ressources disponibles." } }, { "@type": "Question", "name": "Quelles stratégies pour optimiser un budget ?", "position": 17, "acceptedAnswer": { "@type": "Answer", "text": "Les stratégies incluent la réduction des coûts, l'amélioration de l'efficacité et la réallocation des ressources." } }, { "@type": "Question", "name": "Comment impliquer les parties prenantes dans le budget ?", "position": 18, "acceptedAnswer": { "@type": "Answer", "text": "L'implication se fait par des consultations, des réunions et des retours d'expérience des utilisateurs." } }, { "@type": "Question", "name": "Quels outils pour gérer un budget de santé ?", "position": 19, "acceptedAnswer": { "@type": "Answer", "text": "Les outils incluent des logiciels de gestion financière, des tableaux de bord et des analyses de données." } }, { "@type": "Question", "name": "Comment évaluer l'efficacité d'un budget ?", "position": 20, "acceptedAnswer": { "@type": "Answer", "text": "L'efficacité s'évalue par des indicateurs de performance et des résultats en santé mesurables." } }, { "@type": "Question", "name": "Quelles complications d'un budget mal planifié ?", "position": 21, "acceptedAnswer": { "@type": "Answer", "text": "Les complications incluent des retards dans les soins, des pénuries de médicaments et des crises financières." } }, { "@type": "Question", "name": "Comment un budget insuffisant affecte-t-il les soins ?", "position": 22, "acceptedAnswer": { "@type": "Answer", "text": "Un budget insuffisant peut réduire la qualité des soins, augmenter les temps d'attente et limiter l'accès." } }, { "@type": "Question", "name": "Quels risques d'un budget trop restrictif ?", "position": 23, "acceptedAnswer": { "@type": "Answer", "text": "Un budget restrictif peut entraîner des coupes dans les services essentiels et affecter la santé publique." } }, { "@type": "Question", "name": "Comment gérer les crises budgétaires ?", "position": 24, "acceptedAnswer": { "@type": "Answer", "text": "La gestion des crises nécessite des plans d'urgence, des réallocations rapides et des partenariats stratégiques." } }, { "@type": "Question", "name": "Quels impacts d'une mauvaise allocation des fonds ?", "position": 25, "acceptedAnswer": { "@type": "Answer", "text": "Une mauvaise allocation peut entraîner des inégalités dans l'accès aux soins et des résultats de santé dégradés." } }, { "@type": "Question", "name": "Quels facteurs influencent le budget de santé ?", "position": 26, "acceptedAnswer": { "@type": "Answer", "text": "Les facteurs incluent la démographie, les maladies chroniques, et les politiques de santé." } }, { "@type": "Question", "name": "Comment les changements économiques affectent-ils le budget ?", "position": 27, "acceptedAnswer": { "@type": "Answer", "text": "Les changements économiques peuvent réduire les financements publics et augmenter les coûts des soins." } }, { "@type": "Question", "name": "Quels risques liés à la dépendance des financements externes ?", "position": 28, "acceptedAnswer": { "@type": "Answer", "text": "La dépendance peut entraîner des instabilités budgétaires et des restrictions sur les priorités de santé." } }, { "@type": "Question", "name": "Comment la politique de santé impacte-t-elle le budget ?", "position": 29, "acceptedAnswer": { "@type": "Answer", "text": "La politique de santé détermine les priorités de financement et l'allocation des ressources disponibles." } }, { "@type": "Question", "name": "Quels effets des inégalités sociales sur le budget ?", "position": 30, "acceptedAnswer": { "@type": "Answer", "text": "Les inégalités sociales peuvent augmenter les coûts de santé et nécessiter des dépenses supplémentaires." } } ] } ] }

Sources (10000 au total)

Machine learning based study for the classification of Type 2 diabetes mellitus subtypes.

Data-driven diabetes research has increased its interest in exploring the heterogeneity of the disease, aiming to support in the development of more specific prognoses and treatments within the so-cal... We developed a three-stage methodology starting with the preprocessing of public databases NHANES (USA) and ENSANUT (Mexico) to construct a dataset with N = 10,077 adult diabetes patient records. We u... From the independently obtained bootstrap validation for Dset A and Dset B, mean accuracies across all seven data schemes were [Formula: see text] ([Formula: see text]) and [Formula: see text] ([Formu... The development of machine learning systems for the classification of diabetes subtypes constitutes an important task to support physicians for fast and timely decision-making. We expect to deploy thi...

A machine learning diagnostic model for Pneumocystis jirovecii pneumonia in patients with severe pneumonia.

The diagnosis of Pneumocystis jirovecii pneumonia (PCP) in patients presenting with severe pneumonia is challenging and delays in treatment were associated with worse prognosis. This study aimed to de... A retrospective study was performed in West China Hospital among consecutive patients with severe pneumonia who had undergone bronchoalveolar lavage for etiological evaluation between October 2010 and... Ultimately, 704 patients were enrolled and randomly divided into a training set (n = 564) and a testing set (n = 140). Four factors were ultimately selected to establish the model including neutrophil... We constructed a PCP diagnostic model in patients with severe pneumonia using four easily available and noninvasive clinical indicators. With satisfying diagnostic performance and good clinical practi...

Machine learning algorithms to predict major adverse cardiovascular events in patients with diabetes.

Major Adverse Cardiovascular Events (MACE) are common complications of type 2 diabetes mellitus (T2DM) that include myocardial infarction (MI), stroke, and heart failure (HF). The objective of the cur... Type 2 diabetes mellitus patients above 18 years old were recruited for the study from the All of Us Research Program. Eligible participants were those who took sodium-glucose cotransporter 2 inhibito... Overall, 9, 059 subjects were included in the analyses, of which 5197 (57.4%) were females. The XGBoost Model demonstrated a prediction accuracy of 0.80 [0.78-0.82], which is higher as compared to the... The ML models had shown acceptable performance in predicting MACE in T2DM patients, except the LR model. Phosphate, blood urea nitrogen, and other electrolytes were important predictors of MACE, which...

AI and machine learning in resuscitation: Ongoing research, new concepts, and key challenges.

Artificial intelligence (AI) and machine learning (ML) are important areas of computer science that have recently attracted attention for their application to medicine. However, as techniques continue... We present various research including prediction models using structured and unstructured data, exploring treatment heterogeneity, reinforcement learning, language processing, and large-scale language... In this article, we overview concepts and examples of AI and ML research in the resuscitation field. Moving forward, appropriate understanding of ML and collaboration with relevant experts will be ess...

Machine Learning Classification of Psychiatric Data Associated with Compensation Claims for Patient Injuries.

Adverse events are common in health care. In psychiatric treatment, compensation claims for patient injuries appear to be less common than in other medical specialties. The most common types of patien... The objective was to study whether it is possible to form different categories of patient injury types associated with the psychiatric evaluations of compensation claims and to base machine learning c... Finnish psychiatric specialist evaluations for the compensation claims of patient injuries were classified into six different categories called classes applying the machine learning methods of artific... The former classification task produced relatively good classification results subject to separating between different classes. Instead, the latter was more complex. However, classification accuracies... The results show that the objectives defined were possible to solve reasonably....