Usability study of computer support to time-oriented, skeletal planning with the Asgaard project

The Asgaard project stresses the issue of time-oriented, skeletal planning, primarily in the medical domain. We try to support therapy planning by adding computer-aided quality assessment, plan validation and other high-level tasks to the field of planning in real-world environment. Key component is a descriptive plan representation language, called Asbru to enable the acquisition of computer readable medical guidelines. The research question of the Ph.D. student thesis is to prove a basic assumption of the project, that the use of Asbru and computer support is helpful in a real-world, time- oriented planning situation. The idea behind is to connect scientific concepts to the intended real-world target environment. A comparison with the usefulness of related modeling techniques, like workflow-process modeling, will be performed

Focal Spot, Fall 1984

https://digitalcommons.wustl.edu/focal_spot_archives/1038/thumbnail.jp

Focal Spot, Winter 1984/85

https://digitalcommons.wustl.edu/focal_spot_archives/1039/thumbnail.jp

Clinical protocols enabling evidence based medicine practice in healthcare software solutions

Estágio realizado na ALERT Life Sciences Computing, S. A.Tese de mestrado integrado. Engenharia Informática e Computação. Faculdade de Engenharia. Universidade do Porto. 200

Guideline-based decision support in medicine : modeling guidelines for the development and application of clinical decision support systems

Guideline-based Decision Support in Medicine Modeling Guidelines for the Development and Application of Clinical Decision Support Systems The number and use of decision support systems that incorporate guidelines with the goal of improving care is rapidly increasing. Although developing systems that are both effective in supporting clinicians and accepted by them has proven to be a difficult task, of the systems that were evaluated by a controlled trial, the majority showed impact. The work, described in this thesis, aims at developing a methodology and framework that facilitates all stages in the guideline development process, ranging from the definition of models that represent guidelines to the implementation of run-time systems that provide decision support, based on the guidelines that were developed during the previous stages. The framework consists of 1) a guideline representation formalism that uses the concepts of primitives, Problem-Solving Methods (PSMs) and ontologies to represent guidelines of various complexity and granularity and different application domains, 2) a guideline authoring environment that enables guideline authors to define guidelines, based on the newly developed guideline representation formalism, and 3) a guideline execution environment that translates defined guidelines into a more efficient symbol-level representation, which can be read in and processed by an execution-time engine. The described methodology and framework were used to develop and validate a number of guidelines and decision support systems in various clinical domains such as Intensive Care, Family Practice, Psychiatry and the areas of Diabetes and Hypertension control

Focal Spot, Fall 1979

https://digitalcommons.wustl.edu/focal_spot_archives/1024/thumbnail.jp

Thirty years of artificial intelligence in medicine (AIME) conferences: A review of research themes

Over the past 30 years, the international conference on Artificial Intelligence in MEdicine (AIME) has been organized at different venues across Europe every 2 years, establishing a forum for scientific exchange and creating an active research community. The Artificial Intelligence in Medicine journal has published theme issues with extended versions of selected AIME papers since 1998

Focal Spot, Fall 1985

https://digitalcommons.wustl.edu/focal_spot_archives/1041/thumbnail.jp