PubMed · 3767156
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G A Diamond. 1986. Meme machines.. https://doi.org/10.7326/0003-4819-105-5-788
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To address the recognized problems associated with information overload and limited human memory, computer-based systems which help healthcare providers use information to make better decisions have been developed and implemented. These decision aids are designed to improve the quality and reduce the cost of healthcare. Currently, the most widely used computer application is to simply provide needed facts about the patient in an organized and timely fashion. Additionally, healthcare workers can access literature, ask questions of aggregates of patient data for clinical or administrative decisions, receive warnings or suggestions when the patient's data satisfy certain logical rules receive critiques when proposing therapies or ordering diagnostic tests, receive guidelines for standards of care, access programs which analyze tradeoffs and likelihoods of alternative outcomes (decision analysis) and receive lists of differential diagnoses. Given this wonderful panoply of capabilities, the question becomes 'why aren't more people using these aids and what are the demonstrated benefits of such capabilities?' In this paper we review the types of decision aids which have been successfully implemented and the challenges to implementation (knowledge representation, connections to databases, need for comprehensive, coded databases and evaluation of benefits).
Accurate, timely data are a necessary foundation for an effective healthcare information management system. Today's systems do not achieve their potential because they lack this essential ingredient. Technology can reduce the problem by making the data entry task easier, but a complete solution will require new strategies for system implementation and use. Functions must be implemented in a sequence that allows the initial functions to establish a data foundation for subsequent functions. Each atomic data item must be collected separately, with a consistent definition. Data capture strategies must permit data to be collected once, at the source. Finally, the data must be used, reused, and corrected by all members of the healthcare team.
This review looks at a variety of different ways in which computers can be used to assist in the interpretation of radiological images and in radiological decision-making. The issues involved in the design of computerized decision aids are introduced and four criteria proposed for evaluating such aids: need, practicality, veracity and relevance. These criteria are used to assess research into decision aids based on: image databases, numerical methods, expert systems, image processing and image understanding systems. Possible directions for research leading to aids of practical value are discussed in the conclusion.