ADAM: Potential of PDM into Clinical Patient Data Management

The contributions of efficient PDM systems in industry for better product life cycle and data management is described. Presented are importance, architectural designs and implementation details of some existing commercial and academic PDM Systems i.e. Windchill, CIM DATABASE, CPDM, WPDM and Promise PLM. To implement a new PDM System, this paper presents major development guidelines, main components, mandatory functional requirements and some currently identified problems in PDM Systems. We support the medical community with the proposition and implementation of an innovative initiative, addressing major challenges of providing optimal management of a certain diagnosis, working rapidly under emergency conditions, protecting personal data, coupling individual patient data with general repositories, allowing therapy monitoring, analyzing individual variations with the and incorporation of golden standard therapy guidelines. The concepts of PDM transit the field of Bioinformatics for the implementation of an advanced clinical data analysis and management system. We propose layered conceptual and implementation architectures along with tools and technologies for the development of a prototype system.