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Biomedical subjects

M Rafanelli

Publications and source records attributed to M Rafanelli.

8 recordsLinked to original sources

An information system on toxicological risks linked to drug manipulation.

Aim of the project is to define and to implement an information system able to help people, who produce chemotherapic antineoplastic drugs, and health care operators, who manipulate such drugs, to prevent short and long term adverse effects connected to the above mentioned activities. The system is able to give a detailed and updated information about these problems, and to give an up-to date, from a professional point of view, to the users of the system. Also an information system prototype was implemented, which consists of an object-oriented database, a decision support system, able to manage and to plan a periodic control of workers, to verify the adverse effects of the antineoplastic chemotherapic drugs, a management system for the network communications.

Adverse Drug Reaction Reporting Systems↗

Telematic evolution of day-hospital in oncology.

The telematic evolution of the Day-Hospital can be considered as the virtual hospitalization, implementing the integration between hospital care and home care and predefining an hospital system which "goes to the patient home". In this paper the authors describe tools, characteristics, and advantages of this proposal, as well as the interaction model. Then the medical problem is illustrated: the first model implemented in oncology involves the liver tumors, which are the more frequent malignant neoplasms, and, in particular, the hepatocellular carcinomas (HCC),. The Organization Model, the Information System, the Tools and the Modalities of Telemonitoring for Hepatocellular Carcinoma in telematic day-hospital are still illustrated and a brief conclusion is given.

Ambulatory Surgical Procedures↗

A system to define and allocate health care resources on a territory to improve the life quality of the populations in developing countries.

In this paper the health resource allocation problem is discussed. An object-oriented system is proposed and its implemented prototype is illustrated. It consists of two parts: a Geographical Information System, which is able to acquire and store both geographical and social-epidemiological information (including the resource distribution on that territory), and a Decision Support System, able to decide, using optimization algorithms, the new resource allocation in order to obtain a quasi-optimal solution for the cost/benefit ratio minimization problem, after having fixed the goal (e.g., the decrease of the incidence of a given disease) and constraints (e.g., a fixed budget, a given set of available resources, etc.). The object-oriented database which is part of the system can simulate and store different scenarios, depending on the different goals and constraints defined in input, by means of a user friendly interface.

Algorithms↗

Hepatocellular carcinoma: the virtual hospitalization in day-hospital.

The virtual hospitalization can be considered as the telematic evolution of the Day-Hospital, implementing the integration between hospital care and home care and predefining an hospital system which "goes to the patient home". In this paper the authors describe characteristics, motivations and advantages of this proposal, as well as the interaction model. Then the medical problem is illustrated: the liver tumors, which are the more frequent malignant neoplasms, and, in particular, the hepatocellular carcinomas, which represent about the 50% of these tumors. The Organization Model, the Information System and the Modalities of Telemonitoring for Hepatocellular Carcinoma are still illustrated and a brief conclusion is given.

Carcinoma, Hepatocellular↗

Toward an improvement of life optimizing resource use.

In this paper an object-oriented system for the storing and the managing of epidemiological data in order to decrease the incidence of a given groups of diseases by means of health care strategy application and of the relative health care resource allocation is described. The system starts from the present epidemiological situation of the territory examined and from the real distribution on this territory of human and material health care resources. The health care manager inputs the available budget, some information regarding the population living on this area, other geographical and climatic informations, the values of certain epidemiological parameters of the diseases considered--the system has stored the mathematical and departmental models of these diseases--and the system allocates (using own allocation algorithms) human and material health care resources, optimizing the cost-benefit rate.

Algorithms↗

Virtual hospitalization: reality or utopia?

In this paper the problem regarding the way in which the increasing capacity and facilities of the telemedicine to link points of care, supporting services and health care sectors, is described. The virtual hospitalization is discussed, as well as its insertion in a new health care system, whose services will provide everyone with effective health care in their homes or in isolated places or in their working places or in emergencies, and which will permit remote consultations between professionals in specialized centers, hospitals and other peripheral points of care.

Aged↗

Expert systems and the pancreatic cancer problem: decision support in the pre-operative diagnosis.

In this paper, after reviewing the main issue in artificial intelligence, decision support systems, medical decision-making, expert systems and some of their applications in medicine, we focus on the diagnostic aspect of pancreatic cancer. We briefly examine the most significant applications both from the oncological and from the diagnostic point of view. We discuss the medical problems mentioning incidence and mortality, aetiological factors and diagnosis, considering the roles of surgery and adjuvant therapies. Finally we justify the decision to develop an expert system in such a medical domain and discuss the SPES (Surgical Pancreatic Expert System) project, its parts dealing with the different medical phases of pancreatic cancer diagnosis and therapy: pre-operative, intra-operative and adjuvant therapies. In particular we discuss diagnostic aspects of pancreatic cancer disease, pointing out the aims of the project, methodologies, tools used and future developments.

Decision Support Techniques↗

An object oriented decision support system for the planning of health resource allocation.

The health resource allocation problem is discussed in this paper. An object-oriented system, which consists of two parts is proposed and its implemented prototype is illustrated. The first part consists of a Geographical Information System which is able to acquire and store both geographical information regarding the territory under investigation and the socio-epidemiological information and the resource distribution in that moment on the same territory. The second part refers to the strategies and the relative algorithms carried out (using a Decision Support System) to obtain the best solution (allocation of new resources optimizing the cost/benefit ratio) after that the user has fixed a goal (e.g., the decrease of the incidence of a given disease) and has defined some constraints (e.g., a fixed budget, a given set of available resources, etc.). The object-oriented database stores different scenarios, depending on the different goals and constraints defined in input. A user friendly interface was also implemented.

Decision Making, Computer-Assisted↗