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PubMed1993

Graphical knowledge presentation in a MUMPS-based decision-support system.

Conventional knowledge-based medical expert systems present information and elicit responses in the form of text. PHOENIX, a decision-support system designed to help non-radiologist physicians select diagnostic imaging procedures, offers a graphical user interface. The system constructs and displays algorithms, or flowcharts, from the rules in its knowledge base. Users can view the flowcharts and move through them by answering questions at branch points. The system provides detailed textual explanations of the rules and descriptions of the imaging procedures. The system is written in MUMPS, a common programming language for biomedical information systems, and is easily incorporated into clinical computer systems.

Algorithms↗
PubMed2005

Use of computerized surveillance to detect nosocomial pneumonia in neonatal intensive care unit patients.

BACKGROUND: Pneumonia surveillance is difficult and time-consuming. The definition is complicated, and there are many opportunities for subjectivity in determining infection status. OBJECTIVE: To compare traditional infection control professional (ICP) surveillance for pneumonia among neonatal intensive care unit (NICU) patients with computerized surveillance of chest x-ray reports using an automated detection system based on a natural language processor. METHODS: This system evaluated chest x-rays from 2 NICUs over a 2-year period. It flagged x-rays indicative of pneumonia according to rules derived from the National Nosocomial Infection Surveillance System definition as applied to radiology reports. Data from the automated system were compared with pneumonia data collected prospectively by an ICP. RESULTS: Sensitivity of the computerized surveillance in NICU 1 was 71%, and specificity was 99.8%. The positive predictive value was 7.9%, and the negative predictive value (NPV) was >99%. Data from NICU 2 were incomplete. CONCLUSIONS: Computer-assisted surveillance has the potential to decrease ICP workload and make pneumonia surveillance feasible. The high NPV means the system can safely screen out many chest x-rays of noninfected patients. However, all data must be available to the computer system and must be analyzed the same way for results to be comparable.

Computers↗
PubMed2005

An intelligent tutoring system for visual classification problem solving.

OBJECTIVE: This manuscript describes the development of a general intelligent tutoring system for teaching visual classification problem solving. MATERIALS AND METHODS: The approach is informed by cognitive theory, previous empirical work on expertise in diagnostic problem-solving, and our own prior work describing the development of expertise in pathology. The architecture incorporates aspects of cognitive tutoring system and knowledge-based system design within the framework of the unified problem-solving method description language component model. Based on the domain ontology, domain task ontology and case data, the abstract problem-solving methods of the expert model create a dynamic solution graph. Student interaction with the solution graph is filtered through an instructional layer, which is created by a second set of abstract problem-solving methods and pedagogic ontologies, in response to the current state of the student model. RESULTS: In this paper, we outline the empirically derived requirements and design principles, describe the knowledge representation and dynamic solution graph, detail the functioning of the instructional layer, and demonstrate two implemented interfaces to the system. CONCLUSION: Using the general visual classification tutor, we have created SlideTutor, a tutoring system for microscopic diagnosis of inflammatory diseases of skin.

Artificial Intelligence↗
PubMed2004

Pathology and patient safety: the critical role of pathology informatics in error reduction and quality initiatives.

Understanding the role of pathology informatics in patient safety entails an introduction to terminology and projects that have represented efforts to date in this area. The authors provide a short alphabetized introduction to several "buzzwords" and terms related to tools and processes that are used by health care research experts and workers involved in patient safety initiatives. The authors also include short descriptions of key health care research and patient safety projects that are relevant to pathology. They aim to highlight the areas where pathology informatics in all of its flavors (production systems provided by vendors as well as research and development efforts) can play a role in promoting patient safety.

Diagnostic Errors↗
PubMed2006

CASANDRA: a prototype implementation of a system of network progressive transmission of medical digital images.

In this paper, a prototype for progressive transmission of medical digital 2D images through the network, called CASANDRA, is presented. The prototype consists of the server part and the client part. In the server part, the images are acquired, stored, computed their wavelet transform and the wavelet coefficients stored, then transmitted progressively, when required, via TCP to the client. In the client part, with the inverse wavelet transform, the received wavelet coefficients are used to build successive improved reconstructions of the image. This prototype has been implemented and is being tested in the Radiotherapy Service of the Valencia University Hospital (Valencia, Spain).

Medical Informatics Applications↗
PubMed2004

On-line variable live-adjusted displays with internal and external risk-adjusted mortalities. A valuable method for benchmarking and early detection of unfavourable trends in cardiac surgery.

OBJECTIVE: Benchmarking and early detection of unfavourable trends. METHODS: We implemented a dedicated project-orientated data warehouse, which continuously supplies data for on-line computing of the variable live-adjusted displays (VLADs). To calculate the expected cumulative mortality, we used the multi-variate logistic regression model of the EuroSCORE model. In addition to the external EuroSCORE standard, we calculated a centre-specific risk score for internal standards by analysing the data of 9135 patients, which enables both internal and external comparisons. The VLADs are embedded into the multi-purpose web-based information portal, so that the physicians can investigate several types of VLADs interactively: performance of different types of surgery and individual surgeons for different time intervals. We investigated clinically important events such as modification of operative techniques and personnel changes of the team by the VLADs. RESULTS: We found transient declines in the performance curves during major changes in patient management, indicating that systemic--rather than accidental or patient related factors--were involved in the mortality risk. The internal standard line represents these clusters more clearly than the external line. We evaluated examples of how periods of increased risk could be monitored by the VLAD curves: (1) the introduction of OPCAB surgery; (2) training of surgeons; (3) staff changes and staff-related management. CONCLUSIONS: On-line VLADs based on a day-to-day updated database, displaying both internal and external standards, are a helpful visualisation tool for earlier detection of unfavourable trends. They enable the surgeon teams and clinical management to take countermeasures at an early stage.

Benchmarking↗
PubMed2004

Positive attitudes and failed queries: an exploration of the conundrums of consumer health information retrieval.

Several studies have found that consumers report a high level of satisfaction with the Internet as a health information resource. Belied by this positive attitude, however, are other studies reporting that consumers were often unsuccessful in searching for health information. In this paper, we present an interview and observation study in which we asked health consumers to search for health information on the Internet after first stating their search goals. Upon the conclusion of the session they were asked to evaluate their searches. We found that many consumers were unable to find satisfactory information when performing a specific query, while in general the group viewed health information retrieval (HIR) on the Internet in a positive light. We analyzed the observed search sessions to determine what factors accounted for the failure of specific searches and positive attitudes, and also discussed potential informatics solutions.

Adult↗
PubMed2004

Promoting patient safety through informatics-based nursing education.

The Institute of Medicine (IOM) Committee on Quality of Health Care in America identified the critical role of information technology in designing safe and effective health care. In addition to technical aspects such as regional or national health information infrastructures, to achieve this goal, healthcare professionals must receive the requisite training during basic and advanced educational programs. In this article, we describe a two-pronged strategy to promote patient safety through an informatics-based approach to nursing education at the Columbia University School of Nursing: (1) use of a personal digital assistant (PDA) to document clinical encounters and to retrieve patient safety-related information at the point of care, and (2) enhancement of informatics competencies of students and faculty. These approaches may be useful to others wishing to promote patient safety through using informatics methods and technologies in healthcare curricula.

Curriculum↗
PubMed2006

Implementing a new ADT based on the HL7 version 3 RIM.

The University Hospitals of Geneva (HUG) are the result of the merge of six hospitals into one single organization. While a true fusion of the management has been effectively done, it was not the case 5 years after for several databases, and in particular the ADT (admission, discharge, transfer). In order to truly realize the fusion, a new ADT service has been built using state of the art technology and standards in order to replace the existing seven services. This paper presents the results of the redesign and development of the new ADT service. The data model, based on HL7 RIM, is described and the technologies selected are presented. Finally, a status after 1 year of production is presented.

Hospital Information Systems↗
PubMed2006

Semantic integration in healthcare networks.

A seamless support of information flow for increasingly distributed healthcare processes requires to integrate heterogeneous IT systems into a comprehensive distributed information system. Different standards contribute to ease this integration. In a research project focussing on the development of a reference architecture for inter-institutional health information systems, we identified concurring standards currently in use. We therefore categorized these integration standards by distinguishing between technical and semantic integration on the one hand, and data and functional integration on the other hand. In addition, standards for semantic integration are roughly categorized according to their scope. By placing standards into a corresponding matrix a "semantic gap" is revealed, which cannot be covered by standards as it contains volatile medical concepts. As a conclusion, it is recommended to conceptually consider the necessity of system evolution in system architectures and also in future integration standards.

Hospital Information Systems↗
PubMed2006

Medical image compression using DCT-based subband decomposition and modified SPIHT data organization.

OBJECTIVE: The work proposed a novel bit-rate-reduced approach for reducing the memory required to store a remote diagnosis and rapidly transmission it. METHOD: In the work, an 8x8 Discrete Cosine Transform (DCT) approach is adopted to perform subband decomposition. Modified set partitioning in hierarchical trees (SPIHT) is then employed to organize data and entropy coding. The translation function can store the detailed characteristics of an image. A simple transformation to obtain DCT spectrum data in a single frequency domain decomposes the original signal into various frequency domains that can further compressed by wavelet-based algorithm. In this scheme, insignificant DCT coefficients that correspond to a particular spatial location in the high-frequency subbands can be employed to reduce redundancy by applying a proposed combined function in association with the modified SPIHT. RESULTS AND CONCLUSIONS: Simulation results showed that the embedded DCT-CSPIHT image compression reduced the computational complexity to only a quarter of the wavelet-based subband decomposition, and improved the quality of the reconstructed medical image as given by both the peak signal-to-noise ratio (PSNR) and the perceptual results over JPEG2000 and the original SPIHT at the same bit rate. Additionally, since 8x8 fast DCT hardware implementation being commercially available, the proposed DCT-CSPIHT can perform well in high speed image coding and transmission.

Algorithms↗
PubMed2006

Factors associated with improved completion of computerized clinical reminders across a large healthcare system.

OBJECTIVE: To analyze the relationship of completion rates for a standardized set of computerized clinical reminders across a large healthcare system to practice and provider characteristics. METHODS: The relationship between completion rate for 13 standardized reminders at 49 primary care practices in the VA New England Healthcare System for a 30-day period and practice characteristics, provider demographics and, via survey, provider attitudes was analyzed. RESULTS: There was no difference in clinical reminder completion rate between staff physicians versus nurse practitioners/physician assistants (87.6% versus 88.1%) but both were better than residents (76.6%, p<0.0001). With residents excluded, there were no differences between hospital and community-based clinics or between teaching and non-teaching sites. Clinical reminder completion rate was lower for sites that did not fully utilize support staff in completion process versus sites that did (82.4% versus 88.1%, p<0.0001). Analysis of survey results showed no correlation of completion rate with provider demographics or attitudes towards reminders. However there was significant correlation with frequency of receiving individual feedback on reminder completion (r=0.288, p=0.004). CONCLUSION: Completion of computerized clinical reminders was not affected by a variety of provider characteristics, including professional training, demographics and provider attitude, although was lower among residents than staff providers. However incorporation of support staff into clinic processes and individualized feedback to providers were strongly associated with improved completion. These findings demonstrate the importance of considering practice and provider factors and not just technical elements when implementing informatics tools.

Computers↗
PubMed2006

Can design principles of traditional learning theories be fulfilled by computer-based training systems in medicine: the example of CAMPUS.

PURPOSE: Computer-based training (CBT) systems offer the potential to efficiently support modern teaching and learning. However, it is still unknown if a similar efficient learning experience built on sound learning theories and corresponding design principles can be created in the complex health care environment. The purpose of this paper is to analyse to what extent learning theories and corresponding design principles are relevant and can successfully be applied in computer-based training in medicine. METHODS: We use the case-based CBT system CAMPUS as an example for a CBT system currently used to enhance the medical teaching and learning experience. We apply two well-accepted learning theories (Bloom's taxonomy and practice fields) and related design principles to determine to what extent they are relevant and fulfilled in the context of CAMPUS. RESULTS: We demonstrate that in principle these learning theories and design principles can be implemented using computer-based training. However, not all design principles can be fulfilled by the system alone; rather the integration of the system into adequate -- traditional or virtual -- teaching and learning environments is essential. CONCLUSIONS: Traditional learning theories and design principles are a valuable means in designing adequate CBT systems in medicine. They can be successfully implemented in CBT systems for medical education if the system itself is adequately integrated into teaching and learning environments.

Computer-Assisted Instruction↗
PubMed2004

Cognitive and usability engineering methods for the evaluation of clinical information systems.

Increasingly healthcare policy and decision makers are demanding evidence to justify investments in health information systems. This demand requires an adequate evaluation of these systems. A wide variety of approaches and methodologies have been applied in assessing the impact of information systems in health care, ranging from controlled clinical trials to use of questionnaires and interviews with users. In this paper we describe methodological approaches which we have applied and refined for the past 10 years for the evaluation of health information systems. The approaches are strongly rooted in theories and methods from cognitive science and the emerging field of usability engineering. The focus is on assessing human computer interaction and in particular, the usability of computer systems in both laboratory and naturalistic settings. The methods described can be a part of the formative evaluation of systems during their iterative development, and can also complement more traditional assessment methods used in summative system evaluation of completed systems. The paper provides a review of the general area of systems evaluation with the motivation and rationale for methodological approaches underlying usability engineering and cognitive task analysis as applied to health information systems. This is followed by a detailed description of the methods we have applied in a variety of settings in conducting usability testing and usability inspection of systems such as computer-based patient records. Emerging trends in the evaluation of complex information systems are discussed.

Biomedical Engineering↗
PubMed2004

Computers in the ICU: where we started and where we are now.

The first use of computers in critical care units were described in the mid 1960s. They reported the use of very large mainframe computers that filled entire rooms yet had very limited memory and processing capacities by today's standards. These were limited to only a few institutions until microprocessors were developed increasing computation speed and expanding memory capacity by many magnitudes. This allowed smaller more affordable stand alone systems to be developed and the inclusion of microprocessors into bedside devices. As the capacity expanded uses broadened. Simple results review developed into a more complete electronic medical record. Databases were created allowing population analysis for research and systems quality improvement activities. Decision support started as simple alerting of potential errors and dangers and expanded into more sophisticated clinical decision-making support. With this came problems that needed solutions. As the amount of information became overwhelming to the bedside clinician, methods to filter and display data made it more useful. Security and confidentiality became major concerns. Data input solutions had to be found including interfaces between computers, bedside devices and instruments designed to automate data input like scanners, bar coders, and other devices. The biggest issue of all however, was developing acceptance among clinicians and creating the cultural change required for successful implementation of electronic medical records. This paper will explore these issues.

Computer Systems↗
PubMed2005

A systematic review of the Charlson comorbidity index using Canadian administrative databases: a perspective on risk adjustment in critical care research.

The Charlson index is commonly used for risk adjustment in critical care health services research. However, the literature supporting this methodology has not been thoroughly explored. We systematically reviewed the literature related to administrative database adaptations of the Charlson index. Our review has 3 major findings. First, 2 studies compared Canadian administrative databases with chart review for obtaining Charlson comorbidity data. Agreement between the database and chart review was substantial (kappa > 0.70), and mortality prediction did not differ. Second, 5 database adaptations were identified with the Deyo and Dartmouth-Manitoba adaptations being most popular. Three studies directly compared these 2 popular adaptations and demonstrated substantial agreement (kappa > 0.70) and similar predictive ability for mortality. Third, one study validated the Charlson index for critically ill patients but demonstrated that APACHE (Acute Physiology and Chronic Health Evaluation) II better discriminates inhospital mortality (area under curve 0.67 vs 0.87). Time and cost barriers prevent widespread use of physiology-based risk adjustment in population-based research. The decreased predictive ability of the Charlson index must be weighed against the advantages of using this instrument for population-based research. Future research should focus on updating the Charlson index for recent changes in the prognosis of comorbid diseases and introduction of International Statistical Classification of Diseases, 10th Revision coding of discharge abstracts.

Canada↗