Cost-Effective Mobile-Based Healthcare System for Managing Total Joint Arthroplasty Follow-Up / 대한의료정보학회지
Healthcare Informatics Research
;
: 67-73, 2017.
Artículo
en Inglés
| WPRIM
| ID: wpr-100555
ABSTRACT
OBJECTIVES:
Long-term follow-up care after total joint arthroplasty is essential to evaluate hip and knee arthroplasty outcomes, to provide information to physicians and improve arthroplasty performance, and to improve patients' health condition. In this paper, we aim to improve the communication between arthroplasty patients and physicians and to reduce the cost of follow-up controls based on mobile application technologies and cloud computing.METHODS:
We propose a mobile-based healthcare system that provides cost-effective follow-up controls for primary arthroplasty patients through questions about symptoms in the replaced joint, questionnaires (WOMAC and SF-36v2) and the radiological examination of knee or hip joint. We also perform a cost analysis for a set of 423 patients that were treated in the University Clinic for Orthopedics in Essen-Werden.RESULTS:
The estimation of healthcare costs shows significant cost savings (a reduction of 63.67% for readmission rate 5%) in both the University Clinic for Orthopedics in Essen-Werden and the state of North Rhine-Westphalia when the mobile-based healthcare system is applied.CONCLUSIONS:
We propose a mHealth system to reduce the cost of follow-up assessments of arthroplasty patients through evaluation of diagnosis, self-monitoring, and regular review of their health status.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Ortopedia
/
Artroplastia
/
Sistemas de Administración de Bases de Datos
/
Estudios de Seguimiento
/
Costos de la Atención en Salud
/
Ahorro de Costo
/
Análisis Costo-Beneficio
/
Telemedicina
/
Artroplastia de Reemplazo
/
Artroplastia de Reemplazo de Rodilla
Tipo de estudio:
Estudio diagnóstico
/
Evaluación Económica en Salud
/
Estudio observacional
/
Estudio pronóstico
Límite:
Humanos
Idioma:
Inglés
Revista:
Healthcare Informatics Research
Año:
2017
Tipo del documento:
Artículo
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