Evaluar el costo que representa el uso de la inteligencia artificial en pacientes con enfermedad renal crónica de una institución prestadora de servicios de salud privada en el departamento del Atlántico, 2023
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Fecha
2024
Autores
Chams Mendoza, María Del Sol
Pupo Castillo, Natalia Liseth
Salcedo Jaramillo, Rafael Antonio
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Editor
Ediciones Universidad Simón Bolívar
Facultad Administración y Negocios
Facultad Administración y Negocios
Resumen
La enfermedad renal crónica (ERC) es una condición de salud que se define por una reducción persistente en la función renal, medida como una tasa de filtración glomerular (TFG) reducida o evidencia de daño renal durante más de tres meses (Levey & Coresh, 2012). Esta enfermedad afecta a aproximadamente el 10% de la población mundial y está estrechamente asociada con comorbilidades como la diabetes mellitus y la hipertensión arterial (Webster et al., 2017). La ERC puede progresar a insuficiencia renal terminal, que requiere tratamiento sustitutivo como diálisis o trasplante renal, lo que impone una carga significativa tanto para los pacientes como para los sistemas de salud (KDIGO, 2020). En este contexto, la inteligencia artificial (IA) ha emergido como una herramienta de gran potencial en el ámbito de la salud. La capacidad de la IA para analizar grandes volúmenes de datos, identificar patrones y realizar predicciones precisas ha transformado numerosos aspectos del cuidado médico, desde el diagnóstico hasta la gestión de enfermedades crónicas (Rajkomar, Dean, & Kohane, 2019). En particular, la IA puede mejorar la detección temprana de la ERC, optimizar los tratamientos personalizados y gestionar de manera más eficiente los recursos de salud (Topol, 2019). La integración de la IA en el sector salud promete no solo mejorar los resultados clínicos, sino también reducir costos y mejorar la calidad de vida de los pacientes. El objetivo de esta monografía es explorar cómo la inteligencia artificial está influyendo en el manejo de la enfermedad renal crónica. Se analizarán las aplicaciones actuales de la IA en la predicción, diagnóstico y tratamiento de la ERC, evaluando su efectividad y su impacto en el manejo clínico. Además, se discutirá el potencial de la IA para superar los desafíos asociados con la ERC y se considerarán las implicaciones éticas y prácticas de su uso en la atención sanitaria.
Chronic kidney disease (CKD) is a health condition that is defined by a persistent reduction in kidney function, measured as a reduced glomerular filtration rate (GFR) or evidence of kidney damage for more than three months (Levey & Coresh, 2012). This disease affects approximately 10% of the world's population and is closely associated with comorbidities such as diabetes mellitus and high blood pressure (Webster et al., 2017). CKD can progress to end-stage renal failure, which requires replacement therapy such as dialysis or kidney transplantation, imposing a significant burden on both patients and health systems (KDIGO, 2020). In this context, artificial intelligence (AI) has emerged as a tool with great potential in the field of health In this context, artificial intelligence (AI) has emerged as a tool with great potential in the field of health. AI's ability to analyze large volumes of data, identify patterns, and make accurate predictions has transformed numerous aspects of healthcare, from diagnosis to chronic disease management (Rajkomar, Dean, & Kohane, 2019). In particular, AI can improve the early detection of CKD, optimize personalized treatments, and more efficiently manage health resources (Topol, 2019). In particular, AI can improve the early detection of CKD, optimize personalized treatments, and more efficiently manage health resources (Topol, 2019). The integration of AI in the healthcare sector promises not only to improve clinical outcomes, but also to reduce costs and improve patients' quality of life. The aim of this monograph is to explore how artificial intelligence is influencing the management of chronic kidney disease The aim of this monograph is to explore how artificial intelligence is influencing the management of chronic kidney disease. The current applications of AI in the prediction, diagnosis and treatment of CKD will be analyzed, evaluating its effectiveness and impact on clinical management. In addition, the potential of AI to overcome the challenges associated with CKD will be discussed and the ethical and practical implications of its use in healthcare will be considered.
Chronic kidney disease (CKD) is a health condition that is defined by a persistent reduction in kidney function, measured as a reduced glomerular filtration rate (GFR) or evidence of kidney damage for more than three months (Levey & Coresh, 2012). This disease affects approximately 10% of the world's population and is closely associated with comorbidities such as diabetes mellitus and high blood pressure (Webster et al., 2017). CKD can progress to end-stage renal failure, which requires replacement therapy such as dialysis or kidney transplantation, imposing a significant burden on both patients and health systems (KDIGO, 2020). In this context, artificial intelligence (AI) has emerged as a tool with great potential in the field of health In this context, artificial intelligence (AI) has emerged as a tool with great potential in the field of health. AI's ability to analyze large volumes of data, identify patterns, and make accurate predictions has transformed numerous aspects of healthcare, from diagnosis to chronic disease management (Rajkomar, Dean, & Kohane, 2019). In particular, AI can improve the early detection of CKD, optimize personalized treatments, and more efficiently manage health resources (Topol, 2019). In particular, AI can improve the early detection of CKD, optimize personalized treatments, and more efficiently manage health resources (Topol, 2019). The integration of AI in the healthcare sector promises not only to improve clinical outcomes, but also to reduce costs and improve patients' quality of life. The aim of this monograph is to explore how artificial intelligence is influencing the management of chronic kidney disease The aim of this monograph is to explore how artificial intelligence is influencing the management of chronic kidney disease. The current applications of AI in the prediction, diagnosis and treatment of CKD will be analyzed, evaluating its effectiveness and impact on clinical management. In addition, the potential of AI to overcome the challenges associated with CKD will be discussed and the ethical and practical implications of its use in healthcare will be considered.
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Palabras clave
Costo, Inteligencia artificial, Pacientes, Enfermedad renal crónica, Institución prestadora de servicios de salud