The contribution of information health systems for the diagnosis of thyroid cancer

dc.contributor.author	Πασχάλη, Καλλιρόη	el
dc.contributor.author	Τσάκωνα, Άννα	el
dc.date.accessioned	2014-07-16T01:20:47Z
dc.date.available	2014-07-16T01:20:47Z
dc.date.issued	2014-07-16
dc.identifier.uri	http://hdl.handle.net/11400/1361
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	www.hsj.gr	en
dc.subject	Advanced electronic health record
dc.subject	Artificial neurotic networks
dc.subject	Artificial intelligence
dc.subject	Thyroid cancer
dc.subject	Τεχνητή νοημοσύνη
dc.subject	Καρκίνος
dc.subject	Θυρεοειδής
dc.title	The contribution of information health systems for the diagnosis of thyroid cancer	en
heal.type	journalArticle
heal.generalDescription	Review	en
heal.classification	Internal medicine
heal.classification	Ιατρική
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85067347
heal.classificationURI	N/A-Ιατρική
heal.language	en
heal.access	free
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας.Σχολή Επαγγελμάτων Υγείας και Πρόνοιας. Τμήμα Νοσηλευτικής	el
heal.publicationDate	2012-09
heal.bibliographicCitation	Paschali, K., Tsakona, A.. (2012). The contribution of information health systems for the diagnosis of thyroid cancer. "Health Science Journal". 6 (3), 418-31.	el
heal.abstract	Background:The Information Health Systems are necessary for the coverage of managerial medical data needs, supporting the medical personnel for patients’ diagnosis, through an advanced Electronic Health Record. Aim: The present study aimed to present the need for an Electronic Health Record, in diagnosis thyroid cancer and also in the management of medical information. Method and material: Access in the website Wikipedia and a study of PhD papers, articles and medical books. Results: In order for an Information Health System to be affective, it is materialized in such a way that it acts like a human. In that case, experienced systems play an important role and more specifically, the Artificial Neurotic Networks as well as Artificial Intelligence. In addition, the same relation types must be applied to the models receiving information, with which the programs are supplied. Finally, it is the doctor who will determine the diagnosis based on his training results. A complete image of data observation of the course of a patient from a series of devices is possible if it is entered in a data base which can store information and data from the hospital information system and everything is compatible. Conclusions: In the next few years, there is expected to be intense activity in subjects as the materialization of Electronic Medical Records, hospital computerized records and applications in the Health network with the aim of achieving more valid patient diagnosis and the amelioration of medical healthcare.	en
heal.publisher	Μαρβάκη, Χριστίνα	el
heal.journalName	Health Science Journal	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true
heal.dateCreated	2012-07