Biomedical subjects

R Grundmeier

Publications and source records attributed to R Grundmeier.

4 recordsLinked to original sources

PubMed1999

Housestaff attitudes toward computer-based clinical decision support.

OBJECTIVE: To measure housestaff attitudes towards computer-based decision support and their threshold for having CDSS messages displayed. DESIGN: 770 self-administered surveys were distributed to housestaff physicians. RESULTS: 209 surveys were returned. 63% of respondents agreed or strongly agreed that CDSS would improve quality of care, while 52% agreed or strongly agreed that it would decrease adverse drug events. Respondents were neutral regarding the impact of CDSS on productivity and on their autonomy. Sixty percent approved of a reminder to consider surgical consultation in a patient with abdominal pain, while 88% approved of alerts about hypokalemia. Respondents felt both reminders should be triggered when their PPV exceeded 67%. Attitudes toward POE correlated positively with attitudes toward CDSS (Pearson's rho 0.56; p < 0.0001). Respondents who were dissatisfied with POE had a higher threshold PPV for seeing reminders. CONCLUSION: The majority of housestaff favor the implementation of a CDSS. Housestaff with favorable POE experiences were more likely to endorse CDSS, and those with negative POE experience were more likely to oppose it. The results suggest that a carefully designed CDSS with rules constructed to exceed a threshold PPV would be accepted by housestaff.

Attitude to Computers↗

PubMed1994

A pre-search estimation algorithm for MEDLINE strategies with qualifiers.

Inexperienced users of online medical databases often have difficulty formulating their queries. Systems designed to assist them usually do not estimate how effective the initial search strategy will be before performing an actual search. Consequently, the search may find an overwhelming number of citations, or retrieve nothing at all. We have developed an estimation algorithm to predict the outcome of a MEDLINE search. The portion of the algorithm described here estimates retrieval for strategies containing qualifiers. In test searches, the estimate reduced the trial-and-error of strategy formulation. However, the accuracy of the estimate fell short of expectations. Our results show that pre-search estimation for strategies with qualifiers cannot be performed effectively with only the occurrence data that is presently available. They further imply that automated search intermediaries can benefit from medical knowledge which expresses the relationships that exist between terms.

Algorithms↗

PubMed1992

Q & A: a query formulation assistant.

Inexperienced users of online medical databases often do not know how to formulate their queries for effective searches. Previous attempts to help them have provided some standard procedures for query formulation, but depend on the user to enter the concepts of a query properly so that the correct search strategy will be formed. Intelligent assistance specific to a particular query often is not given. Several systems do refine the initial strategy based on relevance feedback, but usually do not make an effort to determine how well-formed a query is before actually performing the search. As part of the Interactive Query Workstation (IQW), we have developed an expert system, Questions and Answers (Q&A), that assists in formulating an initial strategy given concepts entered by the user and that determines if the strategy is well-formed, refining it when necessary.

Expert Systems↗

PubMed1992

Interactive query workstation: a demonstration of the practical use of UMLS knowledge sources.

The Interactive Query Workstation (IQW) has been developed to provide clinicians with a uniform program interface for retrieving medical-related information from various computer-based information resources. These resources can vary in content (bibliographic databases, drug information, general medical text databases), function (article retrieval, differential diagnosis, drug interaction detection, or drug dosage and administration information), and media formats (local hard disk, CD-ROM, local area network, or distant telecommunication link). IQW allows modular addition of new resources as well as extension of previously installed resources. The National Library of Medicine's three Unified Medical Language System (UMLS) Knowledge Sources, the Metathesaurus (Meta), the Semantic Network, and the Information Sources Map (ISM) have been incorporated into many aspects of IQW. Meta provides information about medical terminology and aids IQW in isolating the basic concepts from a clinician's question. The Semantic Network provides information about the categorization of concepts and possible relations between concepts. It also assists IQW in determining which queries are appropriate for a set of concepts contained in the clinician's question. The ISM provides information about the content available from a computer-based resources and aids IQW in selecting an appropriate resource from which to collect information. The computer-based resource selection is performed without user intervention. This interactive demonstration shows an environment which increases the accessibility of medical information to clinicians by utilizing the three UMLS Knowledge Sources.

Information Storage and Retrieval↗