Biomedical subjects

Mario Stefanelli

Publications and source records attributed to Mario Stefanelli.

3 recordsLinked to original sources

PubMed2003

Telemedicine in the management of young patients with type 1 diabetes mellitus: a follow-up study.

DCCT (Diabetes Control and Complications Trial) study showed that tight metabolic control of diabetes mellitus can delay the onset and/or reduce the frequency of vascular complications. Telemedicine, i.e. telecommunications and information technologies in health care, is a useful tool to achieve the DCCT goals. Our European Community (EC) sponsored Telematic management of Insulin-Dependent Diabetes Mellitus (T-IDDM) project implements a telemedicine service through on a careful analysis of current medical practice. The system is based on two components: Patient Unit (PU) and Medical Unit (MU) connected by a Telecommunication system (TS). PU allows data collection and transmission from the patient's house to the hospital, assists self-monitoring activity and suggests insulin variations. PU communicates patient's current metabolic state the MU. MU assists the physician in periodic evaluation and suggests the prescriptions to communicate back defining a treatment protocol. TS system is based on telephone lines, relying on the Intranet technology. To test the system functionality and potential impact in type 1 diabetes clinical practice, we enrolled 6 patients (4 males and 2 females), aged 9.9-15.8 yrs, with disease duration 2.1-6.4 yrs, intensively treated. One girl run out after a 1-year follow-up HbA1c levels decreased, but not significantly. Insulin requirement reduced, significantly in 2 patients (p = 0.02 and p = 0.07). A positive correlation was between number of links and protocol changes (p = 0.01), between number of protocols changes and HbA1c decrease (p = 0.02). In pediatric patients periodical visits are necessary, but T-IDDM enables continuity of care improving access and activities. An index is represented by the high number of messages between the 2 Units, seeming weekly exchange.

Adolescent↗

PubMed2002

The role of methodologies to improve efficiency and effectiveness of care delivery processes for the year 2013.

This paper aims at further expanding the vision of future health care delivery systems presented by Haux et al. (2002). Starting from the observation that information and communication technology (ICT) is deeply transforming the shape of organizations as expected, we argue that the coordination of work activities is a fundamental need for any organization. This is even more important for health care organizations since there is an increasing pressure to increase quality of care they deliver without further increasing its costs. However ICT by itself will not cause the desired changes without rethining the way of managing best practice biomedical knowledge and care delivery processes. Thus the paper focuses on the need of developing intense research efforts in the fields of knowledge management and workflow modelling, which have been identified as fundamental to provide suitable solutions to the problems of designing and building innovative health care information systems. Moreover, the paper discusses the role of mobile communication systems. Moreover, the paper discusses the role of mobile communication and speech understanding technologies to support a satisfactory user-system interaction in daily work.

Biomedical Research↗

PubMedDate not supplied

Comparing computer-interpretable guideline models: a case-study approach.

OBJECTIVES: Many groups are developing computer-interpretable clinical guidelines (CIGs) for use during clinical encounters. CIGs use "Task-Network Models" for representation but differ in their approaches to addressing particular modeling challenges. We have studied similarities and differences between CIGs in order to identify issues that must be resolved before a consensus on a set of common components can be developed. DESIGN: We compared six models: Asbru, EON, GLIF, GUIDE, PRODIGY, and PROforma. Collaborators from groups that created these models represented, in their own formalisms, portions of two guidelines: American College of Chest Physicians cough guidelines [correction] and the Sixth Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. MEASUREMENTS: We compared the models according to eight components that capture the structure of CIGs. The components enable modelers to encode guidelines as plans that organize decision and action tasks in networks. They also enable the encoded guidelines to be linked with patient data-a key requirement for enabling patient-specific decision support. RESULTS: We found consensus on many components, including plan organization, expression language, conceptual medical record model, medical concept model, and data abstractions. Differences were most apparent in underlying decision models, goal representation, use of scenarios, and structured medical actions. CONCLUSION: We identified guideline components that the CIG community could adopt as standards. Some of the participants are pursuing standardization of these components under the auspices of HL7.

Decision Support Systems, Clinical↗