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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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