A panel of experts from Italian Comprehensive Cancer Centers defines the recommendations for external quality control programs aimed to accreditation to excellence of these institutes. After definition of the process as a systematic, periodic evaluation performed by an external agency to verify whether a health organization possesses certain prerequisites regarding structural, organizational and operational conditions that are thought to affect health care quality, the panel reviews models internationally available and makes final recommendations on aspects considered of main interest. This position paper has been produced within a special project of the Ministry of Health of the Italian Government aimed to accredit, according to OECI model, 11 Italian cancer centers in the period 2012-2014. The Project represents the effort undertaken by this network of Comprehensive Cancer Centers to find a common denominator for the experience of all Institutes in external quality control programs. Fourteen shared "statements" are put forth, designed to offer some indications on the main aspects of this subject, based on literature evidence or expert opinions. They deal with the need for "accountability" and involvement of the entire organization, the effectiveness of self-evaluation, the temporal continuity and the educational value of the experience, the use of indicators and measurement tools, additionally for intra-and inter-organization comparison, the system of evaluation models used, the provision for specific requisites for oncology, and the opportunity for mutual exchange of evaluation experiences.
In the present work, we introduce Fallarm, a pervasive fall prevention solution suitable for hospitals and care facilities, as well as for home settings. We applied a multifaceted intervention strategy based on closed-loop information exchange between proactive and reactive methods: comprehensive assessment protocols determine the individuals' risk of falling; an innovative device continuously monitors subjects' activities, and it provides patients with constant feedback about their actual risk. Thus, it increases their awareness; simultaneously, it realizes measures to prevent adverse events, and it reports any incident and aims to reduce the level of injury. As a result, our solution offers a comprehensive strategy for the remote management of a person's risk of falling 24 hours a day, enabling many vulnerable people to remain living independently. In this paper, we detail the architecture of our system, and we discuss the results of an experimental study we conducted to demonstrate the applicability of Fallarm in both clinical and home settings.
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