Design and Implementation of a Method Base Management System for a Situational CASE Environment

Situational method engineering focuses on configuration of system development methods (SDMs) tuned to the situation of a project at hand. Situational methods are assembled from parts of existing SDMs, so called method fragments, that are selected to match the project situation. The complex task of selecting appropriate method fragments and assembling them into a method requires effective automated support. The paper describes the architecture of a tool prototype offering such support. We present the structure of its central repository, a method base containing method fragments. The functions to store, select and assemble these method fragments are offered by a stratified method base management system tool component, which is described as wel

Complexity Metrics for Systems Development Methods and Techniques

So many systems development methods have been introduced in the last decade that one can talk about a ¿methodology jungle¿. To aid the method developers and evaluators in fighting their way through this jungle, we propose a systematic approach for measuring properties of methods. We describe two sets of metrics which measure the complexity of single diagram techniques, and of complete systems development methods. The proposed metrics provide a relatively fast and simple way to analyse the descriptive capabilities of a technique or method. When accompanied with other selection criteria, the metrics can be used for estimating the relative complexity of a technique compared to others. To demonstrate the applicability of the metrics, we have applied them to 36 techniques and 11 methods

Palliative Sedation in the Netherlands: current practice and evaluation of tools for assessing depth of sedation

Zuurmond, W.W.A. [Promotor]Loer, S.A. [Promotor]Perez, R.S.G.M. [Copromotor

Reducing the Administrative Burden in Healthcare: Speech and Action Recognition for Automated Medical Reporting

The administrative burden in routine healthcare processes is high, but for communication among care providers the reporting about patient consultations is very essential. In order to reduce this burden we have started the Care2Report research program (www.care2report.nl) that aims at a automated medical reporting based on multimodal (audio, video, bleutooth) recording of a consultation, followed by knowledge representation, ontological conversation interpretation, and finally the generation and uploading of the report in the electronic medical record system. In this keynote I will present the aims and goals of the Care2Report research program, the various linguistic intelligence pipelines, its current functional and technical architecture, and the achievements so far. The linguistic pipeline research will be illustrated by (i) a generic method for the design of trusted cloud pipelines in medical reporting, (ii) the generation of medical guideline ontologies for the matching of the consultation audio transcript, and (iii) the automated pseudonimisation of privacy related data by means of named entity recognition. We end with an outlook of the current research projects and experiments in healthcare institutions