Electronic trial banks: a complementary method for reporting randomized trials.

BACKGROUND: Randomized clinical trial (RCT) results are often difficult to find, interpret, or apply to clinical care. The authors propose that RCTs be reported into electronic knowledge bases-trial banks-in addition to being reported in text. What information should these trial-bank reports contain? METHODS: Using the competency decomposition method, the authors specified the ideal trial-bank contents as the information necessary and sufficient for completing the task of systematic reviewing. RESULTS: They decomposed the systematic reviewing task into four top-level tasks and 62 subtasks. 162 types of trial information were necessary and sufficient for completing these subtasks. These items relate to a trial's design, execution, administration, and results. CONCLUSION: Trial-bank publishing of these 162 items would capture into computer-understandable form all the trial information needed for critically appraising and synthesizing trial results. Decision-support systems that access shared, up-to-date trial banks could help clinicians manage, synthesize, and apply RCT evidence more effectively.

Scalable methodologies for distributed development of logic-based convergent medical terminology.

As the size and complexity of medical terminologies increase, terminology modelers are increasingly hampered by lack of tools and methods to manage the development process. This paper presents our use and ongoing evaluation of a description-logic classifier to support cognitive scalability of the underlying terminology and our enhancements to that classifier to support concurrent development utilizing semantics-based concurrency control methods. Our enhancements, collectively referred to as the Gálapagos, consist of several applications that take locally-developed terminology enhancements from multiple sites, identify conflicting design decisions, support the modelers' reconciliation of the conflicting designs, and efficiently disseminate updates tailored for locally enhanced terminologies. We have tested our ideas through concurrent evolutionary enhancement of SNOMED International at three Kaiser Permanente regions and the Mayo Clinic. We have found that the underlying environment has met our design objectives, and supports semantic-based concurrency control, and identification and resolution of conflicting design decisions.

Gálapagos: computer-based support for evolution of a convergent medical terminology.

Current controlled medical terminologies fall short of the needs of informatics application developers. To overcome the limitations of current medical terminologies, many groups are independently enhancing existing terminologies to meet their local needs. With proper computer-based support, local enhancements can be used as evolutionary stepping stones toward a convergent medical terminology. Gálapagos is a collection of applications that can take local enhancements from multiple sites, identify conflicting design decisions, allow developers to reconcile the conflicting designs, and efficiently disseminate updates tailored specifically for compatibility with locally enhanced terminologies. This paper describes an initial proof-of-concept of the Gálapagos programs using data generated during concurrent SNOMED enhancement by Kaiser Permanente and the Mayo Clinic.

A trial bank model for the publication of clinical trials.

Clinical trials constitute one of the main sources of medical knowledge, yet trial reports are difficult to find, read, and apply to clinical care. Reasons for these difficulties include the lack of a common, standardized, structure for trial reports; the restricted length of reports; and limited computer support for use of the literature. We propose a new model of reporting clinical trials, in which trials are published as both prose commentary and as data in electronic "trial banks." The prose will allow authors to discuss their trials in writing; the electronic database will allow readers easy access to well-defined data about the trials. We are developing a formal conceptual model of the clinical trials domain for integrating the use of multiple trial banks. We will then focus on validating this conceptual model with clinical literature users.

Artificial intelligence research in anesthesia and intensive care.

This article describes several research directions exploring the application of artificial intelligence techniques in anesthesia and intensive care. Artificial intelligence can be loosely defined as the discipline of designing computer systems that exhibit "intelligent" behavior. This article first introduces artificial intelligence and computer science research and discusses why medicine has proved to be a challenging domain for applying artificial intelligence techniques. A discussion of the central research themes that arise in medical artificial intelligence, many of which are common to different projects and to different medical settings, is followed by a description of specific research projects that apply artificial intelligence techniques in anesthesiology, ventilatory management, and cardiovascular management. Finally, further comments are made on the current state of the field.

A computational model of reasoning from the clinical literature.

This paper explores the premise that a formalized representation of empirical studies can play a central role in computer-based decision support. The specific motivations underlying this research include the following propositions: Reasoning from experimental evidence contained in the clinical literature is central to the decisions physicians make in patient care. A computational model, based upon a declarative representation for published reports of clinical studies, can drive a computer program that selectively tailors knowledge of the clinical literature as it is applied to a particular case. The development of such a computational model is an important first step toward filling a void in computer-based decision support systems. Furthermore, the model may help us better understand the general principles of reasoning from experimental evidence both in medicine and other domains. Roundsman is a developmental computer system which draws upon structured representations of the clinical literature in order to critique plans for the management of primary breast cancer. Roundsman is able to produce patient-specific analyses of breast cancer management options based on the 24 clinical studies currently encoded in its knowledge base. The Roundsman system is a first step in exploring how the computer can help to bring a critical analysis of the relevant literature to the physician, structured around a particular patient and treatment decision.

Choice and explanation in medical management: a multiattribute model of artificial intelligence approaches.

This paper explores a model of choice and explanation in medical management and makes clear its advantages and limitations. The model is based on multiattribute decision making (MADM) and consists of four distinct strategies for choice and explanation, plus combinations of these four. Each strategy is a restricted form of the general MADM approach, and each makes restrictive assumptions about the nature of the domain. The advantage of tailoring a restricted form of a general technique to a particular domain is that such efforts may better capture the character of the domain and allow choice and explanation to be more naturally modelled. The uses of the strategies for both choice and explanation are illustrated with analyses of several existing medical management artificial intelligence (AI) systems, and also with examples from the management of primary breast cancer. Using the model it is possible to identify common underlying features of these AI systems, since each employs portions of this model in different ways. Thus the model enables better understanding and characterization of the seemingly ad hoc decision making of previous systems.

Reasoning from the clinical literature: a "distance" metric.

There has been little or no integration of specific studies from the clinical literature with computer-based medical advice systems. This paper reports preliminary results of a research project designed to model reasoning from the clinical literature. The program, named "Roundsman", draws upon structured representations of the clinical literature in order to critique plans for medical management. This paper discusses the need for a clinical "distance" metric to use in mapping from studies to treatment choices. The design of one such metric is outlined, and the results of its incorporation in Roundsman are shown in a sample output from the program. The application domain for this program is the management of primary breast cancer, but the research goals are to identify general issues which arise in diverse medical management domains.

Neuralgic amyotrophy manifesting as anterior interosseous nerve palsy.

Neuralgic amyotrophy may present as a picture of anterior interosseous nerve palsy. In such a case, rather than a lesion of the nerve in the forearm, we offer indirect evidence of a lesion in the brachial plexus affecting discrete fiber bundles destined to form the anterior interosseous nerve.