Biomedical subjects

Loes Braun

Publications and source records attributed to Loes Braun.

3 recordsLinked to original sources

PubMed2006

Enabling protocol-based medical critiquing.

This paper investigates the combination of expert critiquing systems and formal medical protocols. Medical protocols might serve as a suitable basis for an expert critiquing system because of the ongoing acceptance of medical protocols and the rise of both evidence-based practice and evidence-based protocols. A prerequisite for a critiquing system based on medical protocols is the ability to match the actions a physician performs in practice to actions prescribed by a protocol. Previous research has shown that this is quite difficult, due to the fact that computerized systems are unable to handle deviations from a protocol, which are common in the medical domain. Our solution to this problem is based on extracting the intention underlying a physician's action and uses the intention as the basis for matching performed actions to prescribed actions. We propose an algorithm for the intention-based matching process and we evaluate the matching algorithm on 12 cases of hyperbilirubinemia in healthy term newborns.

Algorithms↗

PubMed2005

Towards patient-related information needs.

The quality of health care depends, among others, on the quality of a physician's domain knowledge. Since it is impossible to keep up with all new findings and developments, physicians usually have gaps in their domain knowledge. To handle exceptional cases, access to the full range of medical literature is required. The specific literature needed for appropriate treatment of the patient is described by a physician's information need. Physicians are often unaware of their information needs. To support them, this paperThis research is part of the MIA project (Medical Information Agent), which is funded by NWO (grant number 634.000.021). aims at presenting a first step towards automatically formulating patient-related information needs. We start investigating how we can model a physician's information needs in general. Then we propose an approach to instantiate the model into a representation of a physician's information needs using the patient data as stored in a medical record. Our experiments show that this approach is feasible. Since the number of formulated patient-related information needs is rather high, we propose the use of filters. Future research will focus on the combination of personalization and filtering. It is expected that the resultant set of information needs will have a manageable size and contributes to the quality of health care.

Forecasting↗

PubMed2004

From patient data to information needs.

The goal of this paper is to contribute to the improvement of the quality of care. For physicians, it is a problem that they are often not aware of gaps in their knowledge and the corresponding information needs. Our research aim is to resolve this problem by formulating information needs automatically. Based on these information needs, patient-specific literature can be retrieved. As a first step, we investigate how to model a physician's information needs. Thereafter, we design and analyse an approach to instantiate the model with patient data, resulting in information-need templates that are able to represent patient-specific information needs. Our experiments show that a physician's information needs can be modelled adequately and can be substantiated into patient-specific information needs. Since the number of formulated information needs is rather high, future research will focus on methods that restrict the set of automatically formulated information needs to a more specialized set.

Information Storage and Retrieval↗