Search PubMed⌕ Search
Home/Archive/PubMed

PubMed · 15738738

Transitioning from paper to computerized documentation.

Patricia G Turpin
View original source ↗Export metadata ↓

Abstract

Although charting forms have evolved over time to meet the changing needs in healthcare, little has changed in the process of documentation until the introduction of computers in healthcare in the late 20th century. The author describes three early nursing documentation systems and the evolution of the automated process. One of the important lessons learned about the move from paper to computerized charting is that the process is not "automatic."

Explore related subjects

Data CollectionDocumentationFemaleForecastingGastroenterologyHumansMaleMedical Records Systems, ComputerizedNursing RecordsSensitivity and SpecificityJournal Article

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Patricia G Turpin. Transitioning from paper to computerized documentation.. https://doi.org/10.1097/00001610-200501000-00016

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

KEEP EXPLORING

Related citations

PubMed2007

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↗