Research Article
Smart Anamnesis for Gyn-Obs: Issues and Opportunities
@INPROCEEDINGS{10.1007/978-3-319-67636-4_11, author={Lucia Vaira and Mario Bochicchio}, title={Smart Anamnesis for Gyn-Obs: Issues and Opportunities}, proceedings={Cloud Infrastructures, Services, and IoT Systems for Smart Cities. Second EAI International Conference, IISSC 2017 and CN4IoT 2017, Brindisi, Italy, April 20--21, 2017, Proceedings}, proceedings_a={IISSC \& CN4IOT}, year={2017}, month={11}, keywords={Medical history taking Data incompleteness Data quality Data capture Maternal and fetal assessment}, doi={10.1007/978-3-319-67636-4_11} }- Lucia Vaira
Mario Bochicchio
Year: 2017
Smart Anamnesis for Gyn-Obs: Issues and Opportunities
IISSC & CN4IOT
Springer
DOI: 10.1007/978-3-319-67636-4_11
Abstract
Completeness and accuracy of data is probably a persistent and intrusive problem in any process related to data capture. This is especially true in the clinical field, where omitting significant information can have considerable implications for diagnosis and treatment in general. History taking from patients represents a crucial phase for physicians in order to evaluate the patient’s wellness status and to perform correct diagnoses. As a routine procedure, it is a time-consuming and not so appealing obligation. In this paper we present a smart approach to anamnesis in order to gain as much data as possible and to have high quality information by avoiding any misunderstandings or errors. The approach is mainly based on the possibility to capture data directly at the source increasing the overall effectiveness of physician’s time and of the visit itself. Its feasibility has been evaluated in the context of a complex clinical domain: maternal and fetal assessment during pregnancy.
