Biomedical subjects

Olof Torgersson

Publications and source records attributed to Olof Torgersson.

6 recordsLinked to original sources

PubMed2005

MedView: an instrument for clinical research and education in oral medicine.

The etiology for many of the mucosal lesions we encounter in clinical practice is frequently uncertain or unknown and there is reason to believe that multicausality plays an important role. To detect multicausal relationships, the analysis must include multiple variables and large amounts of data. A traditional retrospective analysis is often based on a limited number of variables and frequently entails methodological errors where vital information may be missing. Prospective studies may be hampered by the fact that the prevalences of many conditions are relatively low. The search for new knowledge in oral medicine should therefore be facilitated by prospective use of formalized information gathered in multicenter studies. MedView is a computer program that is based on formalized input and registration of all clinical information. The output applications are focused on visualization and statistical analysis. MedView is aimed at clinical research and is well suited for multicenter studies. It also contains applications for education and distant consultations.

Causality↗

PubMed2005

mGen--An Open Source Framework for Generating Clinical Documents.

As formalised electronic storage of medical data becomes more and more wide spread the possibility and need for creating human readable presentations for various purposes increases. This paper presents the mGen framework - a general framework for text generation, written in Java and in the process of being open-sourced, that has been developed within the MedView projectThe work presented in this paper was supported by the Swedish Agency for Innovation Systems (VINNOVA).. The framework has been used for several years to generate literally thousands of clinical documents at an oral medicine clinic in Sweden.

Humans↗

PubMed2005

SOMWeb - Towards an Infrastructure for Knowledge Sharing in Oral Medicine.

In a net-based society, clinicians can come together for cooperative work and distance learning around a common medical material. This requires suitable techniques for cooperative knowledge management and user interfaces that are adapted to both the group as a whole and to individuals. To support distributed management and sharing of clinical knowledge, we propose the development of an intelligent web community for clinicians within oral medicine. This virtual meeting place will support the ongoing work on developing a digital knowledge base, providing a foundation for a more evidence-based oral medicine. The presented system is founded on the use and development of web services and standards for knowledge modelling and knowledge-based systems. The work is conducted within the frame of a well-established cooperation between oral medicine and computer science.

Humans↗

PubMed2005

mVisualizer: Easily Accessible Data Exploration for Clinicians.

In medical research and clinical work, having direct access to a large knowledge base of information about patients is very useful. Software for information visualisation can help the user browse, analyse and learn from such knowledge, thus providing new insights and accelerating research. However, when introducing new software to clinicians, who may have limited computer knowledge, adoption can be hindered by the complexity of the applications and the time investments necessary to learn them. By involving clinicians directly in the design process, we have developed mVisualizer, an application that provides a hands-on workspace to visualise and explore patient data. mVisualizer was designed for accessibility and simplicity, and to encourage users to explore the data in order to make discoveries and pose new questions relevant for knowledge gathering and research. The user-centered approach helped ensure that mVisualizer is understandable and easy to learn for clinicians. The application is in use by clinicians today, and its use has led to new discoveries and theories that will be the subject of future medical research. This leads to the conclusion that information visualisation software for exploring patient data can help clinicians and researchers by making the data more accessible, which stimulates research and learning.

Biomedical Research↗

PubMed2002

Using text generation to access clinical data in a variety of contexts.

MedView is a joint project with participants from oral medicine and computer science. The aim of the project is to build a large database from patient examinations and produce computerised tools to access data in various ways. One way to access data is to read case descriptions generated from stored cases. We give a description of how documents are generated from data and how these are used in a variety of contexts to supply useful information.

Dental Records↗

PubMed2002

MedView: a declarative approach to evidence-based medicine.

MedView is a project that meets the challenges of evidence-based oral medicine by providing a formalisation of clinical examination data and clinical procedures. Tools are provided for knowledge acquisition, knowledge generation, visualisation and analysis of data, and knowledge sharing. The formal declarative model constitutes the main governing principle in MedView, not only in the formalisation of clinical terms and concepts, but in visualisation models and in the design and implementation of individual tools and the system as a whole as well.

Decision Support Systems, Clinical↗