Logistics System Marko Grönholm Diabetes Prevention Unit 31/07/2017 THL 2010 1 Features • • • • • Management of study subjects Appointments and visits Study protocol Batch management Statistics 31/07/2017 THL 2010 2 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. 31/07/2017 THL 2010 3 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. 31/07/2017 THL 2010 4 Study protocol • Predefined study procol – study groups – scheduled visits – time windows =>appointment system is based on predefined study protocol 31/07/2017 THL 2010 5 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) 31/07/2017 THL 2010 6 Statistics • • • • • Visits Laboratory results Batch management Listings Study specific 31/07/2017 THL 2010 7 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 31/07/2017 THL 2010 8
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