PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 12942248

Easy and effective--web-based information systems designed and maintained by physicians: experience with two gynecological projects.

M S Kupka·C Dorn·O Richter·H van der Ven·M Baur
View original source ↗Export metadata ↓

Abstract

It is well established that medical information sources develop continuously from printed media to digital online sources. To demonstrate effectiveness and feasibility of decentralized performed web-based information sources for health professionals, two projects are described. The information platform of the German Working Group for Information Technologies in Gynecology and Obstetrics (AIG) and the information source concerning the German Registry for in vitro fertilization (DIR) were implemented using ordinary software and standard computer equipment. Only minimal resources and training were necessary to perform safe and reliable web-based information sources with a high correlation of effectiveness in costs and time exposure.

Explore related subjects

Data CollectionFemaleFertilization in VitroGermanyGynecologyHumansInternetMedical Informatics ApplicationsPregnancyRegistriesSoftwareJournal Article

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

M S Kupka, C Dorn, O Richter, H van der Ven, M Baur. 2002-08-30. Easy and effective--web-based information systems designed and maintained by physicians: experience with two gynecological projects.. https://doi.org/10.1007/s00404-002-0365-9

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↗