Public health surveillance is changing in response to concerns about bioterrorism, which have increased the pressure for early detection of epidemics. Rapid detection necessitates following multiple non-specific indicators and accounting for spatial structure. ...
A major purpose of biomedical terminologies is to provide uniform concept representation, allowing for improved methods of analysis of biomedical information. While this goal is being realized in bioinformatics, with the emergence of the Gene Ontology ...
Increasing attention is being focused on the potential benefits of personal digital assistants (PDA) in medical practice. Although some work has been done to investigate their use, it is still unclear what types of PDAs are being used by pediatricians, ...
The C-section rate of a population of 22,175 expectant mothers is 16.8%; yet the 17 physician groups that serve this population have vastly different group C-section rates, ranging from 13% to 23%. Our goal is to determine retrospectively ...
An advanced PDA support system for the triage was designed to evaluate users’ acceptance of this system compared with a traditional terminal system. Davis’ Technology Acceptance Model was used to evaluate users’ acceptance. All ...
Knowledge about users and their information needs can contribute to better user interface design and organization of information in clinical information systems. This can lead to quicker access to desired information, which may facilitate the decision-making ...
Computerized physician order entry (CPOE) has had demonstrated benefits in error reduction and guideline adherence, but its implementation has often been complicated by disruptions in established workflow processes. We conducted an observational study ...
Automated segmentation of medical reports can significantly enhance the productivity of the healthcare departments. While many algorithms have been developed for document summarization, passage retrieval, and story segmentation of news feeds, much less ...
We constructed and internally validated an artificial neural network (ANN) model for prediction of in-hospital major adverse outcomes (defined as death, cardiac arrest, coma, renal failure, cerebrovascular accident, reinfarction, or prolonged mechanical ...
This paper introduces an extended hierarchical task analysis (HTA) methodology devised to evaluate and compare user interfaces on volumetric infusion pumps. The pumps were studied along the dimensions of overall usability and propensity for generating ...
The newly developed U.S. Common Medication Information Infrastructure was used as a basis to capture and formally express the properties of drugs relevant to research and the clinical application of pharmacogenomics. Two associated taxonomies within the ...
Clinical information system (CIS) use is likely to evoke information needs, yet information resources use during CIS use has not been studied.We used CIS log files and a survey to characterize clinicians’ use of resources and infobuttons (context-sensitive ...
Research on terminology services has resulted in development of applications and definition of standards, but has not yet led to widespread use of (standardized) terminology services in practice. Current terminology services offer functionality both for ...
We report on a general architecture for creating knowledge-based medical training systems to teach diagnostic classification problem solving. The approach is informed by our previous work describing the development of expertise in classification problem ...
The development of tools to meet the information needs of clinicians requires an understanding of the clinician and the context in which clinical decisions are being made.We conducted an observational study of clinicians’ information needs via ...
We developed the KnowledgeMap (KM) system as an online, concept-based database of medical school curriculum documents. It uses the KM concept indexer to map full-text documents and match search queries to concepts in the Unified Medical Language System ...
We describe a constrained natural language interface to a large knowledge base, the Foundational Model of Anatomy (FMA). The interface, called GAPP, handles simple or nested questions that can be parsed to the form, subject-relation-object, where subject ...
Automated expert systems provide a reliable and effective way to improve patient safety in a hospital environment. Their ability to analyze large amounts of data without fatigue is a decided advantage over clinicians who perform the same tasks. As dependence ...
To identify genes suitable for medical diagnostics microarray data is assessed in the context of clinical databases, which store complex information about the patient phenotype. The wealth of data and lack of standards make it difficult to analyse this ...
We evaluated telephone triage (TT) data for public health early warning systems. TT data is electronically available and contains coded elements that include the demographics and description of a caller’s medical complaints. In the study, we obtained ...
Transforming guideline recommendations into executable statements for computerized decision support systems requires a clear understanding of what tasks must be performed. We sought (a) to determine whether a limited set of action types could be defined ...
While health information is often said to be the most sought after information on the web, empirical data on the actual frequency of health-related searches on the web are missing. In the present study we aimed to determine the prevalence of health-related ...
We developed the Home Automated Telemanagement (HAT) system for patients on oral anticoagulation therapy. It consists of a home unit, HAT server, and clinician unit. Patients at home use a palmtop or a laptop connected with a prothrombin time (PT) monitor. ...
Little is known about the opportunities for a community clinical data exchange network to influence patient care. Rates of patient “cross-over” among different institutions can provide one estimate of the additional value such systems ...
Semantic processing provides the potential for producing high quality results in natural language processing (NLP) applications in the biomedical domain. In this paper, we address a specific semantic phenomenon, the hypernymic proposition, and concentrate ...