Interactive tele-radiological segmentation systems for treatment and diagnosis.

Telehealth is the exchange of health information and the provision of health care services through electronic information and communications technology, where participants are separated by geographic, time, social and cultural barriers. The shift of telemedicine from desktop platforms to wireless and mobile technologies is likely to have a significant impact on healthcare in the future. It is therefore crucial to develop a general information exchange e-medical system to enables its users to perform online and offline medical consultations through diagnosis.

Estimating the success of e-health collaborative services: the THEMIS framework.

This study proposes a prototype framework (THEMIS) for estimating algebraically the success (S) of the electronic health collaborative services (e-HCS) and examines two hypotheses: first, that the S estimation of an e-HCS, developed by a third-party vendor, demands a 'shrunk formative model' and second that causal relationships between the involved dimensions (FFP, CO, COSTS) do exist, and their parameters affect the S - from weakly to strongly and vice-versa. A formative model was shrunk to generate three causal dimensions ('Collaborators Objections', 'Costs', 'Fitness for Purpose'). Then, the new framework (THEMIS) was enriched with a causal loop diagram, a prototype scoring method, (termed 'polarisation method') and 42 questions.

Selecting healthcare information systems provided by third-party vendors: a mind map beyond the manuals.

The selection of a new healthcare information system (HIS) has always been a daunting process for clinicians, health care providers and policy makers. The objective of this study is to present the lessons learned and the main findings from several relevant case studies to support this process. Data were collected by retrospectively reviewing the summative results of three well-established systems, acquiring feedback from two E.

Predicting ICU survival: a meta-level approach.

Background: The performance of separate Intensive Care Unit (ICU) status scoring systems vis-à-vis prediction of outcome is not satisfactory. Computer-based predictive modeling techniques may yield good results but their performance has seldom been extensively compared to that of other mature or emerging predictive models. The objective of the present study was twofold: to propose a prototype meta-level predicting approach concerning Intensive Care Unit (ICU) survival and to evaluate the effectiveness of typical mining models in this context.

Portable biomedical devices: a critical issue during telecare services design.

Objectives: The selection of a portable biomedical device (PBD) is a key issue regarding telecare service design. The objective of this study is to investigate the accuracy parameters of a PBD under different settings and levels.

Methods And Materials: By using a commercial PBD, trials were performed in a referral cardiology center and on the Olympia Explorer of the Royal Olympia Cruises, and the Superfast XII of Superfast Ferries.