On exemplary scientific conduct regarding submission of manuscripts to biomedical informatics journals.
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Biomedical Research↗
Biomedical subjects
Arie Hasman
Publications and source records attributed to Arie Hasman.
PropeR revisited.
INTRODUCTION: The PropeR EHR system (PropeRWeb) is a multidisciplinary electronic health record (EHR) system for multidisciplinary use in extramural patient care for stroke patients. DESIGN: The system is built using existing open source components and is based on open standards. It is implemented as a web application using servlets and Java Server Pages (JSP's) with a CORBA connection to the database servers, which are based on the OMG HDTF specifications. PropeRWeb is a generic system which can be readily customized for use in a variety of clinical domains. EVALUATION: The system proved to be stable and flexible, although some aspects (a.o. user friendliness) could be improved. These improvements are currently under development in a second version.
Computer Systems↗
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↗
Enterprise resource planning for hospitals.
Integrated hospitals need a central planning and control system to plan patients' processes and the required capacity. Given the changes in healthcare one can ask the question what type of information systems can best support these healthcare delivery organizations. We focus in this review on the potential of enterprise resource planning (ERP) systems for healthcare delivery organizations. First ERP systems are explained. An overview is then presented of the characteristics of the planning process in hospital environments. Problems with ERP that are due to the special characteristics of healthcare are presented. The situations in which ERP can or cannot be used are discussed. It is suggested to divide hospitals in a part that is concerned only with deterministic processes and a part that is concerned with non-deterministic processes. ERP can be very useful for planning and controlling the deterministic processes.
Delivery of Health Care, Integrated↗
Approaches for creating computer-interpretable guidelines that facilitate decision support.
During the last decade, studies have shown the benefits of using clinical guidelines in the practice of medicine. Although the importance of these guidelines is widely recognized, health care organizations typically pay more attention to guideline development than to guideline implementation for routine use in daily care. However, studies have shown that clinicians are often not familiar with written guidelines and do not apply them appropriately during the actual care process. Implementing guidelines in computer-based decision support systems promises to improve the acceptance and application of guidelines in daily practice because the actions and observations of health care workers are monitored and advice is generated whenever a guideline is not followed. Such implementations are increasingly applied in diverse areas such as policy development, utilization management, education, clinical trials, and workflow facilitation. Many parties are developing computer-based guidelines as well as decision support systems that incorporate these guidelines. This paper reviews generic approaches for developing and implementing computer-based guidelines that facilitate decision support. It addresses guideline representation, acquisition, verification and execution aspects. The paper describes five approaches (the Arden Syntax, GuideLine Interchange Format (GLIF), PROforma, Asbru and EON), after the approaches are compared and discussed.
Artificial Intelligence↗
Evaluation of an automated test ordering and feedback system for general practitioners in daily practice.
OBJECTIVE: To evaluate the use of an automated test ordering and feedback system (named GRIF) in daily practice. The system produces recommendations to general practitioners (GPs) to improve the application of accepted practice guidelines for test ordering. METHODS: A randomised controlled trial with balanced block design was carried out in general practices in two regions of the Netherlands from August 2000 to July 2001. We implemented the GRIF system on the workstations at the offices of the participating GPs. The GPs (n=11) were asked to use GRIF during patient consultation instead of filling in the paper request form. The system displayed critical comments about their non-adherence to the guidelines as apparent from the request forms. RESULTS: The median time of producing the comments plus the response time of the GP was 13s. Of the 2780 presented recommendations, 4.3% were accepted. Advice of the GRIF system that presents a concrete test to request in a particular situation is adhered to most frequently. Finally, there seems to be a decrease of accepted comments over the trial period. CONCLUSION: Computerised recommendations should contain, if possible, suggestions for alternative tests to improve the application of these recommendations. Furthermore, creative solutions must be developed to avoid that GPs get used to the recommendations of critiquing systems and to stimulate a better adherence to these recommendations.
Adult↗
Predicting capacities required in cardiology units for heart failure patients via simulation.
The management of a department of cardiology has to plan the capacity of both elective and non-elective patients. Heart failure (HF) patients are admitted to the hospital in a non-elective way. The precision with which the capacity needed for non-elective patients can be predicted determines the degree of flexibility in planning the admission of elective patients. In this study we want to determine how accurately we can predict the bed occupancy of HF patients using a simulation model. Data of the year 2000 were used to obtain the necessary probability distribution functions. Data from the year 2001 were used for determining the prediction accuracy. The results show that the arrival of new HF patients can be adequately predicted. However, the bed occupancy by new and especially current patients is predicted less accurately. Still in 70% (90%) of the days of a 5-day-prediction interval the error is at most one (two) bed(s). The results may improve if the cardiologist is asked to predict the length of stay of the current patients.
Bed Occupancy↗
Experiences with the development, implementation and evaluation of automated decision support systems.
A framework for the implementation of guidelines--GASTON--was developed. Its functions range from the definition of guidelines (using a GLIF like approach) to the implementation of a DSS that can be coupled to existing information systems. This paper discusses experiences with the development of three systems in different domains. It is concluded that the toolbox corresponding to the framework could be successfully used to develop these systems.
Decision Making, Computer-Assisted↗
Archetypes: the PropeR way.
The PropeR project studies the effect of Decision Support in an Electronic Health Record system (EHR) on the quality of care. One of the applications supports a multidisciplinary primary care team rehabilitating stroke patients in their home environment. This project required an EHR system that could handle information of multiple disciplines and multiple, distributed data sources. It should also be flexible enough to handle an entirely different domain with only minor modifications. The resulting EHR system is a distributed system based on international standards and reusable components. It is generic in nature since all references to the domain are stored in separate XML documents: the clinical data are defined through a modified version of the OpenEHR archetypes, described in XML and views on the data, either for review or for data entry are also described in XML documents. Currently, the system is being evaluated by a care team using laptops with a wireless internet connection. The use of standards greatly improves the quality and reusability of the resulting software system, but they do not solve the issues that surface during implementation, such as context and screen representation.
Computer Communication Networks↗
Curricula in medical informatics.
Education in medical informatics is needed not only for those who want to become specialist in this area but also for health professionals. Since students, depending on the program they are enlisted in, require different types of knowledge and skills in medical informatics, curricula should be adapted to those needs. The curriculum structure also depends on the expert level the students want to attain. This contribution presents the knowledge and skills levels for different groups of students and presents two examples of curricula.
Curriculum↗
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↗
Automated quantitative evaluation of diseased and nondiseased renal transplants with MR renography.
PURPOSE: To present a method of automated parametric quantification of dynamic MR enhancement curves of renal transplants and evaluate the disease-discriminating properties of the resulting MR renography (MRR) data. MATERIALS AND METHODS: This study included 27 patients with nondiseased renal transplants and eight patients with diseased renal transplants. The examination was repeated in 10 patients and the reproducibility of the enhancement parameters was estimated by analysis of variance (ANOVA). The disease-discriminating properties of the transplant volumes and enhancement parameters were tested with t-tests and logistic regression analysis. RESULTS: The enhancement parameters were reproducible. The mean medullary nephronal washout rate (lambda1) and cortical arterial blood volume (mu0) were lower in diseased renal transplants. The combination of these parameters was a strong predictor of renal transplant disease (area under ROC curve 0.98; 95% confidence interval 0.96-1.0). CONCLUSION: Automated parametric quantification of cortical and medullary enhancement is feasible and allows the accurate detection of nonsurgical disease in renal transplants by MRR.
Analysis of Variance↗
Slow spin exchange explains the effects of diuresis on gadolinium enhancement in MR imaging in the kidney, not in other organs.
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Body Water↗
PropeR: a multi disciplinary EPR system.
This article describes the architecture of an EPR system developed for the PropeR project. This EPR system not only aims at supporting home care of stroke patients, but is also designed in such a way that it can be ported to other medical services without much effort. We will briefly describe the Stroke Service and the related PropeR project. Starting from a list of requirements to construct a generic EPR system we will outline the architecture and describe the standards and methods used. Subsequently we describe the implementation and the problems encountered. In the discussion, we will go into the advantages and disadvantages of the tools and techniques we have used.
Computer Systems↗
Towards a PropeR combination of patient records and protocols.
PROBLEM: The combination of a computer-based patient record and a decision-support system (DSS) may give physicians the decisive push they need to accept such systems. In the PropeR-project we determine the requirements for a generic interface between both these systems and evaluate its potential impact on patient care. This article reports results from the first year in one of the domains under study. It also provides background information about the project, including design considerations and experimental approach of forthcoming years. PURPOSE: The objectives of the first year were to determine bottlenecks of the current situation and to determine expected improvements and conditions for implementation of a future situation with computer support. METHODS: These topics were investigated in general by literature review and in the local situation by a requirements analysis. For the analysis we used a combination of observation, interviews, and patient record study. For the literature survey we searched for reviews, meta-analyses and original studies concerning experiences with computer-based patient records and DSSs in conventional settings and in integrated care. RESULTS: Main bottleneck was the poor use of shared patient record and paper guidelines. Expected improvements were better protocol adherence and communication. Conditions for implementation of computer support were a proper system interface and adoption by the user. CONCLUSION: Our main conclusion was that the aspect of cooperation needs more decision support than the clinical work itself.
Clinical Protocols↗
Validity and reliability of the Nursing Minimum Data Set for the Netherlands (NMDSN).
UNLABELLED: The Nursing Minimum Data Set for the Netherlands (NMDSN) describes nursing care based on nursing phenomena, interventions and outcomes. The validity and reliability of its data collection has not been tested yet. PURPOSE: To report about the discriminative validity and the interrater reliability of the NMDSN. DESIGN: Data were collected in an intensive care ward, in a nursing home and in a residential home. The unit of measurement and analysis is the 'patient day'. The analysis for validity consisted of ridits calculations, and their graphical representations. Interrater reliability was measured by percentage agreement and Cohen's kappa. RESULTS: Graphs illustrate the differences on most nursing phenomena and interventions as expected beforehand. The percentage agreements for the residential home vary from 60.4 to 100%, and the kappa statistics from -0.09 to 0.85, indicating a poor to almost perfect interrater reliability. CONCLUSION: Intensive care patients and patients in the nursing home have more problems and need more nursing interventions compared with general hospital patients, while the patients in the residential home have lesser of both. This illustrates the discriminative validity of the NMDSN. The kappa values for various NMDSN variables are sufficient. A similar test in the general hospital is recommended.
Adult↗
A consumer health record for supporting the patient-centered management of chronic diseases.
OBJECTIVES: To design and implement a shareable consumer health record system to investigate whether the system can assist in the management of chronic diseases. METHODS: A toolkit was designed for constructing the consumer health record system in an evolutionary way. An ethnographic-like approach (formative evaluation) was used to let users (patients and care providers) assess the system leading to incremental changes in the system. RESULTS: The evaluation provided us with sufficient information about which parts of the system needed adaptation. The final consumer health record system was well accepted by patients and care providers. The system is Web-based and is used at home by patients having diabetes. Both care providers and patients enter data. The system can download the data from a glucose meter. It provides feedback to patients on the basis of entered data and incorporated guidelines. It also allows discussion forums. CONCLUSION: Formative evaluation is useful for obtaining feedback from users about prototype systems. Care providers and patients together worked with the consumer health record. Both parties appreciated the system. The approach described here can be used for developing systems for other chronic patient groups.
Anthropology, Cultural↗
User satisfaction with a real-time automated feedback system for general practitioners: a quantitative and qualitative study.
OBJECTIVE: The GRIF automated feedback system produces real-time comments on the appropriateness of diagnostic tests ordered by general practitioners (GPs) based on recommendations from accepted national and regional practice guidelines. We investigated the experiences of GPs with this system and, more specifically, with the recommendations produced by the system as well as their views on using this system in daily practice. SETTING: We tested the GRIF system in an experiment in a laboratory setting and in a daily practice trial. STUDY PARTICIPANTS: General practitioners. INTERVENTION: In the laboratory experiment, GPs used the GRIF system to assess the appropriateness of 30 request forms. Each of the GPs was confronted with requests they had submitted to the diagnostic unit of the hospital in the past. In the field trial, the GRIF system was applied during patient consultations for 1 year. MAIN OUTCOME MEASURES: We measured GPs' satisfaction with the system using a questionnaire, and also conducted group discussions (in the laboratory experiment) and in-depth interviews (in the field trial) to elicit GPs' opinions of and experiences with the system. In addition, we explored GPs' reasons for not accepting the comments offered by the GRIF system. RESULTS: The results show that the GPs in the laboratory experiment had more positive attitudes towards the system compared with participants in the field trial. All discussion groups and most of the GPs in the field trial regarded receiving the immediate feedback during the test ordering process as an important advantage. The most frequently mentioned reason to reject the recommendation was disagreement with the content and/or the recommendations in the practice guidelines. CONCLUSION: Apart from securing agreement on guideline content, a prerequisite for using GRIF in daily practice on a large scale is that more attention is paid to promotion of the guidelines and their adoption, and stimulation of a positive attitude towards the practice guidelines among the users.
Attitude of Health Personnel↗