OBJECTIVES: The purpose of the study was to evaluate different type and manufacturers of intensive care ventilators in order to support the health care decision-making process about the choice to adopt the best available technology for ventilation of pediatric patient in intensive care units at Bambino Gesù Children’s Hospital METHODS: The technology assessment process was developed by using a new methodology, the Decision-oriented HTA (DoHTA), a new implementation of the EUnetHTA CoreModel, integrating the Analytic Hierarchy Process. A literature review was carried out to gather evidence on safety and overall effectiveness of different kind of intensive care ventilators, with several ventilation modalities and strategies. The synthesis of scientific evidences, and results of the specific context analysis resulted in the definition of components of the decisional hierarchy structure, consisting in detailed characteristics of the technology’s performances covering the aspects on feasibility, safety, efficacy, costs, and organizational and technical characteristics of the technology. A subgroup of these indicators has been included in a checklist form for the evaluation of different type and manufacturers of intensive care ventilators, each of which was tested in three independent runs performed in three different department. In addition, an economic evaluation was also carried out. RESULTS: Preliminary DoHTA results showed that the domains with the highest impacts within the evaluation are safety and clinical effectiveness (34.77% and 25.69%, respectively) followed by organizational aspects, technical characteristics of technology and costs and economic evaluation. The final objective is to define the alternatives’ ranking through a comparison between alternative technologies’ performances. CONCLUSIONS: The technology assessment project allowed to identify strengths and limits of the most recent intensive care ventilator’ models in the specific contexts of use by involving all health professionals interested, and eventually identify the best option for the hospital.