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De los números a las perspectivas: Desarrollo de un explorador de cohorte visual para las solicitudes de viabilidad
Ahmad Albenny1, Dennis Hübner1, Franziska Bathelt1
1Medizinische Universität Lausitz - Carl Thiem.
Studies in health technology and informatics
|September 3, 2025
Resumen
Este estudio desarrolló una herramienta visual para los datos del portal de viabilidad de FDPG local, mejorando la comprensión de la cohorte mientras se mantiene el anonimato del paciente. El método SQL resultó más rápido que el FHIR para la extracción y visualización de datos.
Área de la Ciencia:
- La informática médica
- Visualización de datos de salud
- Infraestructura de investigación clínica
Sus antecedentes:
- El Portal Alemán de Datos de Investigación Médica (FDPG) facilita la identificación de las cohortes nacionales de pacientes.
- Las instalaciones locales del portal de viabilidad del FDPG abordan consultas específicas del sitio.
- La visualización de datos de cohorte locales mejora la interpretación y la comprensibilidad al tiempo que preserva el anonimato.
Objetivo del estudio:
- Desarrollar una representación visual de las cohortes locales del portal de viabilidad del FDPG.
- Abordar el desafío de proporcionar conocimientos de cohorte al tiempo que se garantiza el anonimato de los datos.
- Mejorar la precisión y comprensibilidad de los datos de viabilidad locales.
Principales métodos:
- Utilizó las herramientas de la Iniciativa de Informática Médica (MII) y el portal de viabilidad local.
- Desarrolló un tablero interactivo R Shiny utilizando fhircrackr, echarts4r y plotly.
- Datos visualizados de los pacientes, incluidos el género, los diagnósticos (ICD-10-GM), los laboratorios (LOINC), los procedimientos (OPS) y los medicamentos (ATC).
Principales resultados:
- Se desarrollaron dos variantes de extracción de datos (FHIR y SQL) y se visualizaron con éxito los datos de cohorte.
- La aplicación interactiva Shiny proporcionó visualizaciones validadas por expertos clínicos.
- Ambos métodos permitieron una visualización efectiva de las características de la cohorte de pacientes locales.
Conclusiones:
- El enfoque SQL demostró un tiempo de procesamiento superior en comparación con el FHIR para datos a gran escala.
- FHIR ofrece una mayor flexibilidad para el despliegue entre sitios.
- La herramienta de visualización desarrollada es adecuada para el despliegue local, aunque la implementación nacional requiere un mayor desarrollo y mejoras en la infraestructura.
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