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Biomedical subjects

Mario Stefanelli

Publications and source records attributed to Mario Stefanelli.

15 recordsLinked to original sources
PubMed2005

Automated spoken dialogue system for hypertensive patient home management.

Recent advances in automatic speech recognition and related technologies allow computers to carry on conversations by telephone. We developed an intelligent dialogue system that interacts with hypertensive patients to collect data about their health status. Patients thus avoid the inconvenience of traveling for frequent face to face visits to monitor the clinical variables they can easily measure at home; the physician is facilitated in acquiring patient information and cardiovascular risk, which is evaluated from the data according to noted guidelines. Controlled trials to assess the clinical efficacy are under way.

Automation↗
PubMed2005

Cardiovascular risk calculators: understanding differences and realising economic implications.

In recent years, the concept of "global cardiovascular risk assessment" has grown in interest for its role in primary prevention of cardiovascular diseases. Interventions for reducing the risk of relapse for persons with cardiovascular past history are well agreed-on. But for persons without such a history, the risk of a first attack varies greatly and this variability implies a range in the intensity of interventions. In several countries, guidelines for general practitioners have been diffused about pharmaceutical prescriptions in the different risk classes. In particular, in Italy, a governmental drug management commission has established that Statins, the most used cholesterol lowering medicines, can be refunded by the National Healthcare System only if they are prescribed to hyper-cholesterol patients with a global risk greater than 20%. The question is: how to calculate the risk? We performed a review of both the web and the literature and we found a lot of different "risk calculators". By means of a simulation study, we showed that these tools, when used for the same person, may lead to very different results. We estimated the economic impact of using one or another calculator.

Aged↗
PubMed2004

Management of patients with diabetes through information technology: tools for monitoring and control of the patients' metabolic behavior.

BACKGROUND: The junction of telemedicine home monitoring with multifaceted disease management programs seems nowadays a promising direction to combine the need for an intensive approach to deal with diabetes and the pressure to contain the costs of the interventions. Several projects in the European Union and the United States are implementing information technology-based services for diabetes management using a comprehensive approach. Within these systems, the role of tools for data analysis and automatic reminder generation seems crucial to deal with the information overload that may result from large home monitoring programs. The objective of this study was to describe the automatic reminder generation system and the summary indicators used in a clinical center within the telemedicine project M2DM, funded by the European Commission, and to show their usage during a 7-month on-field testing period. METHODS: M2DM is a multi-access service for management of patients with diabetes. The basic functionality of the technical service includes a Web-based electronic medical record and messaging system, a computer telephony integration service, a smart-modem located at home, and a set of specialized software modules for automated data analysis. The information flow is regulated by a software scheduler, called the Organizer, that, on the basis of the knowledge on the health care organization, is able to automatically send e-mails and alerts notifications as well as to commit activities to software agents, such as data analysis. Thanks to this system, it was possible to define an automatic reminder system, which relies on a data analysis tool and on a number of technologies for communication. Within the M2DM system, we have also defined and implemented a number of indexes able to summarize the patients' day-by-day metabolic control. In particular, we have defined the global risk index (GRI) of developing microangiopathic complications. RESULTS: The system for generating automatic alarms and reminders coupled with the indexes for evaluating the patients' metabolic control has been used for 7 months at the Fondazione Salvatore Maugeri (FSM) in Pavia, Italy. Twenty-two patients (43 +/- 16 years old, 12 men and 10 women) have been involved; six dropped out from the study. The average number of monthly automatic messages was 29.44 +/- 9.83, i.e., about 1.8 messages per patient per month. The number of monthly alarm reminders generated by the system was 16.44 +/- 4.39, so that the number of alarms per patient was about 1. The number of messages sent by patients and physicians during the project was about 13 per month. The GRI analysis shows, during the last trimester, a slight improvement of the performance of the FSM clinic, with a decrease in the percentage of badly controlled values from 33% to 27%. Finally, we found the presence of a linear increasing correlation between the mean GRI values and the number of alarms generated by the system. CONCLUSIONS: A telemedicine system may incorporate features that make it a suitable technological backbone for implementing a disease management program. The availability of data analysis tools, automated messaging system, and summary indicators of the effectiveness of the health care program may help in defining efficient clinical interventions.

Diabetes Mellitus↗
PubMed2004

A guideline management system.

This paper describes the architecture of NewGuide, a guide-line management system for handling the whole life cycle of a computerized clinical practice guideline. NewGuide components are organized in a distributed architecture: an editor to formalize guidelines, a repository to store them, an inference engine to implement guidelines instances in a multi-user environment, and a reporting system storing the guidelines logs in order to be able to completely trace any individual physician guideline-based decision process. There is a system "central level" that maintains official versions of the guidelines, and local Healthcare Organizations may download and implement them according to their needs. The architecture has been implemented using the Java 2 Enterprise Edition (J2EE) platform. Simple Object Access Protocol (SOAP) and a set of con-tracts are the key factors for the integration of NewGuide with healthcare legacy systems. They allow maintaining unchanged legacy user interfaces and connecting the system with what-ever electronic patient record. The system functionality will be illustrated in three different contexts: homecare-based pressure ulcer prevention, acute ischemic stroke treatment and heart failure management by general practitioners.

Computer Systems↗
PubMed2004

A careflow management system for chronic patients.

The management of chronic patients is a complex process, which requires the cooperation of all primary care professionals and their interaction with specialists, laboratories and personnel of different organizations. In this paper we show how a Careflow Management System (CfMS) may represent an essential component of an innovative Health Information System (HIS) able to handle the information and communication needs underlying chronic diseases management. On the basis of a general architecture designed for chronic diseases, we describe a CfMS implementation in the area of diabetes management; such a system embeds EPR and telemedicine functionalities as end-users applications as well as a module for inter-organizational communication based on contracts and on XML messages.

Case Management↗
PubMed2004

Cognitive human factors for telemedicine systems.

The recent integration of telephony systems with information and communication technology (ICT) enables the development of innovative tools for telemedicine. The dissemination and widespread acceptance of telephone-based care monitoring systems challenge the researcher to deal with the cognitive factors involved in the patient-physician interaction, and the way they should be to shape up the technological solutions. This paper proposes a model that describes the impact of socio-cognitive factors in the complex process of health care management. The model has been used to design and develop a telephone system for the management of hypertensive patient within the EU funded Homey project. The knowledge existed in a widely accepted guideline for the care of hypertension has been represented and augmented through the proposed cognitive model. The final product is an intelligent system able to manage an adaptive dialogue. It monitors patients' adherence and increases their involvement by promoting self-care through frequent virtual visits, which is complementary to the traditional face-to-face encounters with their primary care physicians.

Artificial Intelligence↗
PubMed2003

Modular representation of the guideline text: an approach for maintaining and updating the content of medical education.

One of the principal challenges in the medical practice is the update of their knowledge. One of the prime roles of the Continuing Medical Education is to train the medical practitioners with the latest advances in health care, specialized to their needs. Online courses and classroom teaching with computer-based representations have become an established mode of delivering medical education. This paper deals with the modularized representation of a medical text concerning clinical practice guidelines. The proposed system takes into consideration the semantics of the Unified Medical Language System and is based upon the marking up and display of the knowledge using the XML and XSLT languages. This modularization of the concepts leads to the determination of the context of a portion or the whole document. Thus, after marking up using our system, the text components can be exchanged, modified or reconstructed, which, in turn, would help to maintain the updates in medical knowledge.

Artificial Intelligence↗
PubMed2003

Design, methods, and evaluation directions of a multi-access service for the management of diabetes mellitus patients.

Recent advances in information and communication technology allow the design and testing of new models of diabetes management, which are able to provide assistance to patients regardless of their distance from the health care providers. The M2DM project, funded by the European Commission, has the specific aim to investigate the potential of novel telemedicine services in diabetes management. A multi-access system based on the integration of Web access, telephone access through interactive voice response systems, and the use of palmtops and smart modems for data downloading has been implemented. The system is based on a technological platform that allows a tight integration between the access modalities through a middle layer called the multi-access organizer. Particular attention has been devoted to the design of the evaluation scheme for the system: A randomized controlled study has been defined, with clinical, organizational, economic, usability, and users' satisfaction outcomes. The evaluation of the system started in January 2002. The system is currently used by 67 patients and seven health care providers in five medical centers across Europe. After 6 months of usage of the system no major technical problems have been encountered, and the majority of patients are using the Web and data downloading modalities with a satisfactory frequency. From a clinical viewpoint, the hemoglobin A1c (HbA1c) of both active patients and controls decreased, and the variance of HbA1c in active patients is significantly lower than the control ones. The M2DM system allows for the implementation of an easy-to-use, user-tailored telemedicine system for diabetes management. The first clinical results are encouraging and seem to substantiate the hypothesis of its clinical effectiveness.

Diabetes Mellitus↗
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↗
PubMed2003

Automated spoken dialog system for home care and data acquisition from chronic patients.

Recent advances in automatic speech recognition and related technologies allow computers to carry on conversations by telephone. We developed an intelligent dialog system that interacts with hypertensive patients to collect data about their health status. Patients thus avoid the inconvenience of going for frequent visits that monitor some clinical variables they can easily measure at home; the physician is facilitated in acquiring and reviewing patient information and related risk indicators, which are evaluated from the data according to noted guidelines. The system described here is a prototype of future configurable and component-based dialog systems, which may allow a new modality for users and physicians to access electronic health records.

Access to Information↗
PubMed2003

Relating UMLS semantic types and task-based ontology to computer-interpretable clinical practice guidelines.

Medical knowledge in clinical practice guideline (GL) texts is the source of task-based computer-interpretable clinical guideline models (CIGMs). We have used Unified Medical Language System (UMLS) semantic types (STs) to understand the percentage of GL text which belongs to a particular ST. We also use UMLS semantic network together with the CIGM-specific ontology to derive a semantic meaning behind the GL text. In order to achieve this objective, we took nine GL texts from the National Guideline Clearinghouse (NGC) and marked up the text dealing with a particular ST. The STs we took into consideration were restricted taking into account the requirements of a task-based CIGM. We used DARPA Agent Markup Language and Ontology Inference Layer (DAML + OIL) to create the UMLS and CIGM specific semantic network. For the latter, as a bench test, we used the 1999 WHO-International Society of Hypertension Guidelines for the Management of Hypertension. We took into consideration the UMLS STs closest to the clinical tasks. The percentage of the GL text dealing with the ST "Health Care Activity" and subtypes "Laboratory Procedure", "Diagnostic Procedure" and "Therapeutic or Preventive Procedure" were measured. The parts of text belonging to other STs or comments were separated. A mapping of terms belonging to other STs was done to the STs under "HCA" for representation in DAML + OIL. As a result, we found that the three STs under "HCA" were the predominant STs present in the GL text. In cases where the terms of related STs existed, they were mapped into one of the three STs. The DAML + OIL representation was able to describe the hierarchy in task-based CIGMs. To conclude, we understood that the three STs could be used to represent the semantic network of the task-bases CIGMs. We identified some mapping operators which could be used for the mapping of other STs into these.

Humans↗
PubMed2003

Cardiovascular risk calculators: understanding differences and realising economic implications.

In recent years, the concept of "global cardiovascular risk assessment" has grown in interest for its role in primary prevention of cerebro-cardiovascular diseases. Interventions for reducing the risk of relapse for persons with past history of these diseases are well agreed-on. On the contrary, the risk status of persons without such a history varies greatly, and this variability implies a range in the intensity of interventions. In several countries, guidelines for general practitioners have been diffused about pharmaceutical prescriptions in presence of various risk degrees. In particular, in Italy, a governmental drug management commission has established that statins, the most used cholesterol lowering medicines, can be refunded by the National Healthcare System only if prescribed to hyper-cholesterol patients with a global risk greater than 20%. The question is: how to calculate the risk? We performed a review of both the web and the literature and we found a lot of different "risk calculators". By means of a simulation study, we showed that these tools, when applied to the same person, may lead to very different results. We estimated the economic impact of using one or another calculator.

Algorithms↗
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↗