Patient registration and treatment allocation in multicenter clinical trials using a FAX-OCR system.
Identifieur interne : 000276 ( Ncbi/Curation ); précédent : 000275; suivant : 000277Patient registration and treatment allocation in multicenter clinical trials using a FAX-OCR system.
Auteurs : K. Akazawa [Japon] ; T. Kamakura ; M. Sakamoto ; T. Odaka ; Y. NoseSource :
- Methods of information in medicine [ 0026-1270 ] ; 1994.
Descripteurs français
- Wicri :
- geographic : Japon.
English descriptors
- KwdEn :
- Automatic Data Processing, Computer Systems, Data Collection, Humans, Japan, Mathematical Computing, Medical Records Systems, Computerized, Multicenter Studies as Topic (statistics & numerical data), Patient Selection, Randomized Controlled Trials as Topic (statistics & numerical data), Software Design.
- MESH :
- geographic : Japan.
- statistics & numerical data : Multicenter Studies as Topic, Randomized Controlled Trials as Topic.
- Automatic Data Processing, Computer Systems, Data Collection, Humans, Mathematical Computing, Medical Records Systems, Computerized, Patient Selection, Software Design.
Abstract
This article describes the design and results of implementation of an automated patient registration and treatment allocation system (RETAS) used in multicenter clinical trials. RETAS was developed using a FAX-OCR system by which handwritten Japanese and English characters, as well as numericals and forms with check boxes, are sent from participating institutions by Fax, processed using an optical character reader, and then transmitted to a host computer at a statistical center. Based on the facsimile data, RETAS can automatically review eligibility, collect patient identification data and provide a randomized treatment allocation. RETAS permits uninterrupted, unattended operation at a statistical center, 24 hours a day, 7 days a week. Therefore, it drastically decreases the workload of personnel at the statistical center needed to support central telephone registration coverage. Consequently, staff members are free to focus on patient registration, treatment allocation, and follow-up of patients. The treatment allocation procedure in this system is based on Pocock and Simon's minimization method combined with Zelen's method for institution balancing. By this system it was possible to balance treatment numbers for each level of various prognostic factors over an entire trial and, at the same time, balance the allocation of treatments within an institution. The system currently supports the protocol of a clinical trial for Adjuvant Chemo-Endocrine Therapy for Breast Cancer in West Japan.
PubMed: 7869952
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pubmed:7869952Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Patient registration and treatment allocation in multicenter clinical trials using a FAX-OCR system.</title><author><name sortKey="Akazawa, K" sort="Akazawa, K" uniqKey="Akazawa K" first="K" last="Akazawa">K. Akazawa</name><affiliation wicri:level="4"><nlm:affiliation>Department of Medical Informatics, Faculty of Medicine, Kyushu University, Fukuoka, Japan.</nlm:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Department of Medical Informatics, Faculty of Medicine, Kyushu University, Fukuoka</wicri:regionArea><orgName type="university">Université de Kyūshū</orgName><placeName><settlement type="city">Fukuoka</settlement><region type="province">Kyūshū</region><region type="prefecture">Préfecture de Fukuoka</region></placeName></affiliation></author><author><name sortKey="Kamakura, T" sort="Kamakura, T" uniqKey="Kamakura T" first="T" last="Kamakura">T. Kamakura</name></author><author><name sortKey="Sakamoto, M" sort="Sakamoto, M" uniqKey="Sakamoto M" first="M" last="Sakamoto">M. Sakamoto</name></author><author><name sortKey="Odaka, T" sort="Odaka, T" uniqKey="Odaka T" first="T" last="Odaka">T. Odaka</name></author><author><name sortKey="Nose, Y" sort="Nose, Y" uniqKey="Nose Y" first="Y" last="Nose">Y. Nose</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="1994">1994</date><idno type="RBID">pubmed:7869952</idno><idno type="pmid">7869952</idno><idno type="wicri:Area/PubMed/Corpus">000086</idno><idno type="wicri:Area/PubMed/Curation">000086</idno><idno type="wicri:Area/PubMed/Checkpoint">000086</idno><idno type="wicri:Area/Ncbi/Merge">000276</idno><idno type="wicri:Area/Ncbi/Curation">000276</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Patient registration and treatment allocation in multicenter clinical trials using a FAX-OCR system.</title><author><name sortKey="Akazawa, K" sort="Akazawa, K" uniqKey="Akazawa K" first="K" last="Akazawa">K. Akazawa</name><affiliation wicri:level="4"><nlm:affiliation>Department of Medical Informatics, Faculty of Medicine, Kyushu University, Fukuoka, Japan.</nlm:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Department of Medical Informatics, Faculty of Medicine, Kyushu University, Fukuoka</wicri:regionArea><orgName type="university">Université de Kyūshū</orgName><placeName><settlement type="city">Fukuoka</settlement><region type="province">Kyūshū</region><region type="prefecture">Préfecture de Fukuoka</region></placeName></affiliation></author><author><name sortKey="Kamakura, T" sort="Kamakura, T" uniqKey="Kamakura T" first="T" last="Kamakura">T. Kamakura</name></author><author><name sortKey="Sakamoto, M" sort="Sakamoto, M" uniqKey="Sakamoto M" first="M" last="Sakamoto">M. Sakamoto</name></author><author><name sortKey="Odaka, T" sort="Odaka, T" uniqKey="Odaka T" first="T" last="Odaka">T. Odaka</name></author><author><name sortKey="Nose, Y" sort="Nose, Y" uniqKey="Nose Y" first="Y" last="Nose">Y. Nose</name></author></analytic><series><title level="j">Methods of information in medicine</title><idno type="ISSN">0026-1270</idno><imprint><date when="1994" type="published">1994</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Automatic Data Processing</term><term>Computer Systems</term><term>Data Collection</term><term>Humans</term><term>Japan</term><term>Mathematical Computing</term><term>Medical Records Systems, Computerized</term><term>Multicenter Studies as Topic (statistics & numerical data)</term><term>Patient Selection</term><term>Randomized Controlled Trials as Topic (statistics & numerical data)</term><term>Software Design</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>Japan</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Multicenter Studies as Topic</term><term>Randomized Controlled Trials as Topic</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Automatic Data Processing</term><term>Computer Systems</term><term>Data Collection</term><term>Humans</term><term>Mathematical Computing</term><term>Medical Records Systems, Computerized</term><term>Patient Selection</term><term>Software Design</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Japon</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This article describes the design and results of implementation of an automated patient registration and treatment allocation system (RETAS) used in multicenter clinical trials. RETAS was developed using a FAX-OCR system by which handwritten Japanese and English characters, as well as numericals and forms with check boxes, are sent from participating institutions by Fax, processed using an optical character reader, and then transmitted to a host computer at a statistical center. Based on the facsimile data, RETAS can automatically review eligibility, collect patient identification data and provide a randomized treatment allocation. RETAS permits uninterrupted, unattended operation at a statistical center, 24 hours a day, 7 days a week. Therefore, it drastically decreases the workload of personnel at the statistical center needed to support central telephone registration coverage. Consequently, staff members are free to focus on patient registration, treatment allocation, and follow-up of patients. The treatment allocation procedure in this system is based on Pocock and Simon's minimization method combined with Zelen's method for institution balancing. By this system it was possible to balance treatment numbers for each level of various prognostic factors over an entire trial and, at the same time, balance the allocation of treatments within an institution. The system currently supports the protocol of a clinical trial for Adjuvant Chemo-Endocrine Therapy for Breast Cancer in West Japan.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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