Patient registration and treatment allocation in multicenter clinical trials using a FAX-OCR system.
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.
Akazawa
K
K
Department of Medical Informatics, Faculty of Medicine, Kyushu University, Fukuoka, Japan.
Kamakura
T
T
Sakamoto
M
M
Odaka
T
T
Nose
Y
Y
D003199:Computer Systems; D003625:Data Collection; D001330:Electronic Data Processing; D006801:Humans; D007564:Japan; D008432:Mathematical Computing; D016347:Medical Records Systems, Computerized; D015337:Multicenter Studies as Topic / Q000706:statistics & numerical data; D018579:Patient Selection; D016032:Randomized Controlled Trials as Topic / Q000706:statistics & numerical data; D012985:Software Design