Biomedical subjects

I Shablinsky

Publications and source records attributed to I Shablinsky.

2 recordsLinked to original sources

PubMed1999

What do ER physicians really want? A method for elucidating ER information needs.

Prior discharge summaries are a critical source of information for treating emergency room patients. However, reading discharge summaries may occupy more time than emergency care clinicians can afford. It would be beneficial to present vital information in the reports to them so that they would be able to quickly extract and digest it. There are several possible ways to present the information without changing the structure or content of the report itself. As a prelude to an effective study concerning the efficiency of the various presentation approaches, it is first necessary to know which diagnoses would benefit from past history, and what kind of information is most important to present for each of the diagnoses. In this study, we present a method for elucidating emergency care information needs from clinicians. Analysis of the data obtained from clinicians resulted in generation of a list of important diagnoses and informational categories. For validation, the clinicians were shown sample reports and were asked to highlight critical information. Overall, predicted important items correlated with physicians highlighting (Pearson correlation coefficient of 0.650, significance level 0.01).

Emergency Medicine↗

PubMed1998

An evaluation of natural language processing methodologies.

Medical language processing (MLP) systems that codify information in textual patient reports have been developed to help solve the data entry problem. Some systems have been evaluated in order to assess performance, but there has been little evaluation of the underlying technology. Various methodologies are used by the different MLP systems but a comparison of the methods has not been performed although evaluations of MLP methodologies would be extremely beneficial to the field. This paper describes a study that evaluates different techniques. To accomplish this task an existing MLP system MedLEE was modified and results from a previous study were used. Based on confidence intervals and differences in sensitivity and specificity between each technique and all the others combined, the results showed that the two methods based on obtaining the largest well-formed segment within a sentence had significantly higher sensitivity than the others by 5% and 6%. The method based on recognizing a complete sentence had a significantly worse sensitivity than the others by 7% and a better specificity by .2%. None of the methods had significantly worse specificity.

Evaluation Studies as Topic↗