Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 20 de 21
Filtrar
Más filtros











Base de datos
Intervalo de año de publicación
1.
NPJ Digit Med ; 7(1): 88, 2024 Apr 09.
Artículo en Inglés | MEDLINE | ID: mdl-38594477

RESUMEN

Artificial intelligence (AI) has the potential to transform care delivery by improving health outcomes, patient safety, and the affordability and accessibility of high-quality care. AI will be critical to building an infrastructure capable of caring for an increasingly aging population, utilizing an ever-increasing knowledge of disease and options for precision treatments, and combatting workforce shortages and burnout of medical professionals. However, we are not currently on track to create this future. This is in part because the health data needed to train, test, use, and surveil these tools are generally neither standardized nor accessible. There is also universal concern about the ability to monitor health AI tools for changes in performance as they are implemented in new places, used with diverse populations, and over time as health data may change. The Future of Health (FOH), an international community of senior health care leaders, collaborated with the Duke-Margolis Institute for Health Policy to conduct a literature review, expert convening, and consensus-building exercise around this topic. This commentary summarizes the four priority action areas and recommendations for health care organizations and policymakers across the globe that FOH members identified as important for fully realizing AI's potential in health care: improving data quality to power AI, building infrastructure to encourage efficient and trustworthy development and evaluations, sharing data for better AI, and providing incentives to accelerate the progress and impact of AI.

2.
Health Aff (Millwood) ; 42(7): 928-936, 2023 07.
Artículo en Inglés | MEDLINE | ID: mdl-37406232

RESUMEN

Several Centers for Medicare and Medicaid Services (CMS) programs aim to transform how health care is delivered by adjusting Medicare inpatient hospital payments through a system of rewards and penalties based on performance on measures of quality. These programs are the Hospital Readmissions Reduction Program, the Hospital Value-Based Purchasing Program, and the Hospital-Acquired Condition Reduction Program. We analyzed value-based program penalty results for various groups of hospitals across these three programs and assessed the impact of patient and community health equity risk factors on hospital penalties. We found statistically significant positive relationships between hospital penalties and several factors that affect hospital performance but that hospitals cannot control-namely, medical complexity (as measured by Hierarchical Condition Categories scores), uncompensated care, and the portion of hospital catchment area populations who live alone. Moreover, these environmental conditions can be worse for hospitals that operate in areas with historically underserved populations. This suggests that the CMS programs might not adequately account for health equity factors at the community level. Refinements to these programs (including an explicit incorporation of patient and community health equity risk factors) and continued monitoring will help ensure that the programs work as intended in a fair and equitable fashion.


Asunto(s)
Hospitales , Medicare , Anciano , Humanos , Estados Unidos , Centers for Medicare and Medicaid Services, U.S. , Enfermedad Iatrogénica , Readmisión del Paciente
5.
Health Aff (Millwood) ; 34(8): 1281-8, 2015 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-26240240

RESUMEN

Three separate pay-for-performance programs affect the amount of Medicare payment for inpatient services to about 3,400 US hospitals. These payments are based on hospital performance on specified measures of quality of care. A growing share of Medicare hospital payments (6 percent by 2017) are dependent upon how hospitals perform under the Hospital Readmissions Reduction Program, the Value-Based Purchasing Program, and the Hospital-Acquired Condition Reduction Program. In 2015 four of five hospitals subject to these programs will be penalized under one or more of them, and more than one in three major teaching hospitals will be penalized under all three. Interactions among these programs should be considered going forward, including overlap among measures and differences in scoring performance.


Asunto(s)
Economía Hospitalaria/legislación & jurisprudencia , Economía Hospitalaria/estadística & datos numéricos , Legislación Hospitalaria/economía , Medicare/organización & administración , Garantía de la Calidad de Atención de Salud/estadística & datos numéricos , Encuestas de Atención de la Salud , Gastos en Salud , Humanos , Reembolso de Seguro de Salud , Medicare/economía , Readmisión del Paciente/legislación & jurisprudencia , Readmisión del Paciente/estadística & datos numéricos , Departamento de Compras en Hospital , Garantía de la Calidad de Atención de Salud/legislación & jurisprudencia , Factores de Tiempo , Estados Unidos , Compra Basada en Calidad
7.
Health Aff (Millwood) ; 28(2): w216-8, 2009.
Artículo en Inglés | MEDLINE | ID: mdl-19174382

RESUMEN

Payment reforms clearly are an important change agent in our efforts to improve the health care delivery system. For broader health care delivery reform to take root and work, however, payment reform cannot be imposed in a vacuum. To maximize the chances of success and minimize the possibility of unintended consequences, the appropriate culture and structure of our health care institutions first must be in place.


Asunto(s)
Atención a la Salud , Eficiencia Organizacional/normas , Reforma de la Atención de Salud/normas , Mecanismo de Reembolso , Humanos , Estados Unidos
SELECCIÓN DE REFERENCIAS
DETALLE DE LA BÚSQUEDA