PD telemedicine by DIATELIC : Preliminary results of the largest french pilot study
Identifieur interne : 005736 ( Main/Exploration ); précédent : 005735; suivant : 005737PD telemedicine by DIATELIC : Preliminary results of the largest french pilot study
Auteurs : Jacques Chanliau ; Pierre-Yves Durand ; L. Vega ; Jean-Pierre Thomesse [France] ; François Charpillet [France] ; M. KesslerSource :
Abstract
This paper presents the experience of new generation of telemedicine systems (called DIATELIC) which includes a self-learning "intelligent" expert system detecting hydration disorders. From 2002 each patient starting PD and living in Lorraine (East of France, total population 2.300 000 w) is equipped with a computer station through which he connect himself to a database, to record his daily parameters: weight, pro and decubitus blood pressure, ultrafiltration and tonicity of the dialysate. All the connections are established by secure-internet thanks to a standard web navigator. An integrated e-mail system allows to improve patient-doctor communication. A total of 94 patients studied during a 3-years period. During the study, a total of 3.650 messages were sent and processed. 90 % of them where patient-doctor messages, and 10 % were doctor-doctor messages. The mean delay for response to a patient was 26 hours and to a doctor 22 hours. The hydration status of the PD patients was improved: during the study the mean weight decreased from 66 to 65 Kg and the mean blood pressure decreased from 10 to 9 mmHg. Previously to the study, the mean hospitalization rate of the PD patients was 19 days/year/patient. It showed a dramatic improvement to 10 days/year/patient during the study. The causes of hospitalizations were 60 % not PD related, and only 5 % due to hydration disorders. The large use of telemedicine with PD (DIATELIC) resulted in a dramatic decrease in the global hospitalization rate (and then the global cost of the therapy) and improves the PD patient's follow-up. For users (patients and doctors) it appears now to be as indispensable as the phone.
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Affiliations:
- France
- Grand Est, Lorraine (région)
- Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine
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Kessler</name></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This paper presents the experience of new generation of telemedicine systems (called DIATELIC) which includes a self-learning "intelligent" expert system detecting hydration disorders. From 2002 each patient starting PD and living in Lorraine (East of France, total population 2.300 000 w) is equipped with a computer station through which he connect himself to a database, to record his daily parameters: weight, pro and decubitus blood pressure, ultrafiltration and tonicity of the dialysate. All the connections are established by secure-internet thanks to a standard web navigator. An integrated e-mail system allows to improve patient-doctor communication. A total of 94 patients studied during a 3-years period. During the study, a total of 3.650 messages were sent and processed. 90 % of them where patient-doctor messages, and 10 % were doctor-doctor messages. The mean delay for response to a patient was 26 hours and to a doctor 22 hours. The hydration status of the PD patients was improved: during the study the mean weight decreased from 66 to 65 Kg and the mean blood pressure decreased from 10 to 9 mmHg. Previously to the study, the mean hospitalization rate of the PD patients was 19 days/year/patient. It showed a dramatic improvement to 10 days/year/patient during the study. The causes of hospitalizations were 60 % not PD related, and only 5 % due to hydration disorders. The large use of telemedicine with PD (DIATELIC) resulted in a dramatic decrease in the global hospitalization rate (and then the global cost of the therapy) and improves the PD patient's follow-up. For users (patients and doctors) it appears now to be as indispensable as the phone.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Nancy</li></settlement><orgName><li>Institut national polytechnique de Lorraine</li><li>Université Nancy 2</li><li>Université de Lorraine</li></orgName></list><tree><noCountry><name sortKey="Chanliau, Jacques" sort="Chanliau, Jacques" uniqKey="Chanliau J" first="Jacques" last="Chanliau">Jacques Chanliau</name><name sortKey="Durand, Pierre Yves" sort="Durand, Pierre Yves" uniqKey="Durand P" first="Pierre-Yves" last="Durand">Pierre-Yves Durand</name><name sortKey="Kessler, M" sort="Kessler, M" uniqKey="Kessler M" first="M." last="Kessler">M. Kessler</name><name sortKey="Vega, L" sort="Vega, L" uniqKey="Vega L" first="L." last="Vega">L. Vega</name></noCountry><country name="France"><region name="Grand Est"><name sortKey="Thomesse, Jean Pierre" sort="Thomesse, Jean Pierre" uniqKey="Thomesse J" first="Jean-Pierre" last="Thomesse">Jean-Pierre Thomesse</name></region><name sortKey="Charpillet, Francois" sort="Charpillet, Francois" uniqKey="Charpillet F" first="François" last="Charpillet">François Charpillet</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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