Sistemul informaţional automatizat în asigurarea managementului calităţii în Banca de Ţesuturi Umane

Abstract

Background: Modern tissue bank should have management autonomy, to be equipped with modern equipment for tissue grafts procurement, processing, preservation and storage that met the requirements of the profile structures of the EU Directives and Authorized National Health Services. Material and methods: Article represents the analysis of the needs to create and use in human tissues and cells bank an automated information system (AIS) to provide qualitative and safe tissue and cells grafts for transplantation in the Republic of Moldova. Automated Information System components are analyzed and characterized, elucidated the functions they have to fulfill, their role in ensuring the effective management of human tissue bank (HTB) in providing secure grafts for health system in the Republic of Moldova. Results: Basic functions of the HTB AIS include: management of the life cycle of donated products; information about products recording and storing; grafts records and relevant information about them; monitoring of the stored products; indexing exactly the products location in storage devices; a comprehensive view of patient information products; listing information in real and historical time by textual and graphical means; generating and scanning labels for each product; evidence of testing and validation samples; view reports using aggregate data; restricting access rights per each group of users. Conclusions: Thus it appears that AIS is an important element in ensuring a strict accounting of human allergic graft throughout their movement from the procurement, processing, validation, storage, distribution and transplantation. AIS also permits easier integration into the European network for tissue, because it allows encoding of grafts according to European unique codes way enabling the identification of tissue grafts as Bank products and follow their path. The computerized record of practical grafts excludes human errors in grafts distribution.