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Logistics System Marko Grönholm
Diabetes Prevention Unit
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• Management of study subjects
• Appointments and visits
• Study protocol
• Batch management
• Statistics
Features
Management of subjects
• Loading of the study sample– Population Register Centre– personal data (name, sex, age, ssn, contact
information etc.)– study specific background data=> study subject profile
• Contact information and name history• Notes (”yellow notes”)
– study specific codes• Study data
– appointments, visits, form data, laboratory results etc.
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Appointments and visits
• Appointments– study sites, calendars, timetables– visit types (based on study protocol)– booking/cancellation history– printable visit lists
• Visits– visit entry– creating a link between study subject and study data
• barcode sticker on the visit list• visit list sticker identifies the sticker set• sticker set contains unique barcode stickers for visit list,
paper forms, study samples etc.
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Study protocol
• Predefined study procol– study groups– scheduled visits– time windows=>appointment system is based on predefined study
protocol
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Batch management
• Letters– invitation– notice– feedback (ex. laboratory results)
• Mailing (ex. paper forms to THL)
• Delivery (ex. study samples to THL)
• Laboratory results– from sample management system (SILO)
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Statistics
• Visits
• Laboratory results
• Batch management
• Listings
• Study specific
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Technical details
• Oracle Rdb 7.2 relational database
• Web based user interface– Oracle XSQL, XML, XSLT– Oracle RdbWeb
• stored database procedures– Apache 2, Apache Tomcat servlet container
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