Projection of Future Medical Expenses Based on Medical Needs and Physician Availability
Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
BACKGROUND: Accurate scientific projections of future healthcare expenditures and workforce capacity are vital in South Korea for addressing concerns about the sustainability of the national health insurance system. This study aims to analyze projected changes in healthcare expenditures due to demographic shifts and identify appropriate healthcare workforce to meet future demands. METHODS: Data from Statistics Korea, the National Health Insurance Service, the Bank of Korea, and the Korea Development Institute were used. The Stepwise Auto Regression Model projected healthcare costs and insurance rates, considering future population estimates, the proportion of older people in the population, life expectancy, changes in medical cost rates, nominal Gross National Income, and the ratio of current medical expenses on Gross Domestic Product (GDP). The analysis applied two scenarios: maintaining the current medical school admission quota and increasing it by 1,509 students. RESULTS: The study anticipates a rise in future medical insurance rates alongside a gradual decline in the rate of change in medical costs. The demand for medical services is forecasted to grow by over 4% annually for the next 30 years due to an aging population and low birth rates. The ratio of current medical expenses on GDP is projected to increase significantly, reaching approximately 20.0% in 2060 from 9.7% in 2024. In two scenarios: if 3,058 medical students are added to the existing medical license holders, medical costs per active physician will increase by 2.8 billion won; if 4,567 medical students are added, the costs will increase by 2.3 billion won by 2060. Despite 1,509 new medical students annually, the number of active physicians will increase by only 1% per year, starting a decade later. Consequently, the medical market will continue to expand, and the demand for medical services per physician will not decrease. Health insurance rates are expected to rise steadily from 7.09% in 2024 to 14.39% by 2060. CONCLUSION: This underlines the imperative to prioritize enhancing the sustainability of the healthcare system over solely augmenting medical student numbers. We should scientifically and precisely predict future medical costs and consider deeply whether it is right to shift the burden of intergenerational medical care to future generations at this point.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,009 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle