Search PubMed⌕ Search

PubMed · 9355175

Summarizing clinical psychiatric data.

Abstract

The authors propose a method of summarizing clinical data to serve patient care. The proposed one-page summary uses diverse visual presentations of data, including small graphs for ratings and drug dosages, time lines for clinic visits and hospital stays, and genograms for inherited illness, as well as a textual presentation of recent clinical notes. The summary depicts a patient's recent and lifetime clinical experience. It allows the viewer to assess relationships between interventions and outcomes for psychiatric and medical problems. Computerized patient information systems, which are increasingly being used, can present data in virtually any form. The authors hope to encourage mental health professionals to reshape psychiatric records.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

S M Powsner, E R Tufte. 1997. Summarizing clinical psychiatric data.. https://doi.org/10.1176/ps.48.11.1458

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Probability estimation when some observations are grouped.

This paper considers the use of additional questions for decreasing survey non-response rates and an approach for estimating a probability based on the results obtained. In a survey, the respondents are asked to answer an original question and follow-up questions, where the answers for the follow-up questions are grouped answers for the original question. For example, respondents are asked to provide an exact number of incidents, but in cases of 'Do not know' or 'Refuse' responses, they are subsequently asked to pick an answer from a less specific categorical scale. The new estimator obtains smaller variance asymptotically and does not depend on a distribution family. This method is applied to income questions in a survey regarding injury prevention and behaviours. Another application is survey data on intimate partner violence, where some amendments were applied for incorporating post-stratification weights and for using non-random grouping. For additional illustration, an example of parameter estimation on artificially generated data is presented.

Data Collection↗