HTA decision support system for sustainable business continuity management in hospitals. The case of surgical activity at the University Hospital in Florence.
Technol Health Care
; 21(1): 49-61, 2013.
Article
em En
| MEDLINE
| ID: mdl-23358059
ABSTRACT
BACKGROUND:
A fundamental element of the social and safety function of a health structure is the need to guarantee continuity of clinical activity through the continuity of technology.OBJECTIVE:
This paper aims to design a Decision Support System (DSS) for medical technology evaluations based on the use of Key Performance Indicators (KPI) in order to provide a multi-disciplinary valuation of a technology in a health structure.METHODS:
The methodology used in planning the DSS followed the following keysteps:
the definition of relevant KPIs, the development of a database to calculate the KPIs, the calculation of the defined KPIs and the resulting study report. Finally, the clinical and economic validation of the system was conducted though a case study of Business Continuity applied in the operating department of the Florence University Hospital AOU Careggi in Italy.RESULTS:
A web-based support system was designed for HTA in health structures. The case study enabled Business Continuity Management (BCM) to be implemented in a hospital department in relation to aspects of a single technology and the specific clinical process. Finally, an economic analysis of the procedure was carried out.CONCLUSIONS:
The system is useful for decision makers in that it precisely defines which equipment to include in the BCM procedure, using a scale analysis of the specific clinical process in which the equipment is used. In addition, the economic analysis shows how the cost of the procedure is completely covered by the indirect costs which would result from the expenses incurred from a broken device, hence showing the complete auto-sustainability of the methodology.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Centro Cirúrgico Hospitalar
/
Avaliação da Tecnologia Biomédica
/
Sistemas de Apoio a Decisões Administrativas
Tipo de estudo:
Health_technology_assessment
/
Prognostic_studies
Limite:
Humans
País como assunto:
Europa
Idioma:
En
Ano de publicação:
2013
Tipo de documento:
Article