The paper presents ProDoc, an Electronic Document System that allows users to navigate documental artifacts according to predefined process maps. In fact in ProDoc, process models are to be considered as maps that users willingly take as guide for their decisions and actions, rather than scripts prescribed from above. The main tenet of this research is that, by integrating documents and processes, documental practices and related work practices could better align to intended models of action. The underlying concept is the result of a long empirical research in the healthcare domain, where we have deployed ProDoc as an innovative and process-oriented Electronic Patient Record. The user participation in the phase of document definition and clinical processes modeling is central in our approach and it is illustrated in three scenarios of the software informal validation that we present in this paper.

ProDoc: an Electronic Patient Record to Foster Process-Oriented Practices

Aiming at improving road safety, car manufacturers and researchers are verging upon autonomous vehicles. In recent years, collision prediction methods of autonomous vehicles have begun incorporating contextual information such as information about the traffic environment and the relative motion of other traffic participants but still fail to anticipate traffic scenarios of high complexity. During the past two decades, the problem of real-time collision prediction has also been investigated by traffic engineers. In the traffic engineering approach, a collision occurrence can potentially be predicted in real-time based on available data on traffic dynamics such as the average speed and flow of vehicles on a road segment. This thesis attempts to integrate vehicle-level collision prediction approaches for autonomous vehicles with network-level collision prediction, as studied by traffic engineers. [Continues.]

Developing an advanced collision risk model for autonomous vehicles

A component-based architecture for automation of protocol-directed therapy.- Coordinating taxonomies: Key to re-usable concept representations.- Generating personalised patient information using the medical record.- Analysis of medical jargon: The RECIT system.- Medical knowledge representation for medical report analysis.- Modelling medical concepts as time-objects.- Modeling medical reasoning with the Event Calculus: an application to the management of mechanical ventilation.- A general framework for building patient monitoring systems.- Semi-qualitative models and simulation for biomedical applications.- Generating explanations of pathophysiological system behaviors from qualitative simulation of compartmental models.- An information-based bayesian approach to history taking.- Medical decision making using Ignorant Influence Diagrams.- Dynamic propagation in causal probabilistic networks with instantiated variables.- Alerts as starting point for hospital infection surveillance and control.- Cooperative software agents for patient management.- High level control strategies for diabetes therapy.- Therapy planning using qualitative trend descriptions.- Adaptation and abstraction in a case-based antibiotics therapy adviser.- Field evaluations of a knowledge-based system for peripheral blood interpretation.- Functional evaluation of SETH: An expert system in clinical toxicology.- Evaluating a neural network decision-support tool for the diagnosis of breast cancer.- Knowledge-based systems for lymph node pathology: A comparison of two approaches.- Mapping laboratory medicine onto the select and test model to facilitate knowledge-based report generation in laboratory medicine.- Machine learning techniques applied to the diagnosis of acute abdominal pain.- Reflections on building medical decision support systems and corresponding implementation in diagnostics shell D3.- Decision models for cost-effectiveness analysis: a means for knowledge sharing and quality control in health care multidisciplinary tasks.- Model-based application: The Galen structured clinical user interface.- A knowledge-based modelling of hospital information systems components.- Use of a conceptual semi-automatic ICD-9 encoding system in an hospital environment.- Quality assurance and increased efficiency in medical projects with neural networks by using a structured development method for feedforward neural networks (SENN).- A prototype neural network decision-support tool for the early diagnosis of acute myocardial infarction.- Integration of neural networks and rule based systems in the interpretation of liver biopsy images.- A cooperative and adaptive approach to medical image segmentation.- COBRA: Integration of knowledge-bases with case-databases in the domain of congenital malformation.- Case-based medical multi-expertise: an example in psychiatry.- TIME-NESIS: A data model in managing time granularity of natural-language clinical information.- Induction of expert system rules from databases based on rough set theory and resampling methods.- Sequential knowledge acquisition: Combining models and cases.- Medical fuzzy expert systems and reasoning about beliefs.- Diagnosis of human acid-base balance states via combined pattern recognition for Markov chains.- Intelligence formation problems in children at an early age applying new computer technologies under conditions of rehabilitation center.- Telecardiology.- Modelling a sharable medical concept system: Ontological foundation in GALEN.- A graph-based approach to the structural analysis of proliferative breast lesions..- A workstation for clinical decision support in a local area network for cardiology.- Knowledge-based education tool to improve quality in diabetes care.- NEPHARM: A pharmacokinetic database for adjusting drug dosage to impaired renal function.- A hybrid architecture for knowledge-based systems.- Representing medical context using rule-based object-oriented programming techniques.- Integration of Neural Networks and knowledge-based systems in medicine.- Generated critic in the knowledge based neurology trainer.- An approach to analysis of qualitative data with insufficient number of quantization levels.- Inductively learned rule for breast cancer domain with improved interobserver reproducibility.- Development and evaluation of a knowledge-based system to support ventilator therapy management.- A neural support to the prognostic evaluation of Cardiac Surgery.- DECISion-support system for radiological diagnostic.- A preliminary investigation into the analysis of electromyographic activity using a system of multiple neural networks.- Knowledge-based system to predict the effect of pregnancy on progression of diabetic retinopathy.- A software to evaluate multislices radiotherapic treatment planning.- TKR-tool: An expert system for Total Knee Replacement management.

Artificial intelligence in medicine : 5th Conference on Artificial Intelligence in Medicine Europe, AIME '95, Pavia, Italy, June 25-28, 1995 : proceedings

Mario Stefanelli

Papers

Artificial intelligence in medicine : 5th Conference on Artificial Intelligence in Medicine Europe, AIME '95, Pavia, Italy, June 25-28, 1995 : proceedings