Biomedical subjects

Niilo Saranummi

Publications and source records attributed to Niilo Saranummi.

4 recordsLinked to original sources

PubMed2005

PICNIC Architecture.

The PICNIC architecture aims at supporting inter-enterprise integration and the facilitation of collaboration between healthcare organisations. The concept of a Regional Health Economy (RHE) is introduced to illustrate the varying nature of inter-enterprise collaboration between healthcare organisations collaborating in providing health services to citizens and patients in a regional setting. The PICNIC architecture comprises a number of PICNIC IT Services, the interfaces between them and presents a way to assemble these into a functioning Regional Health Care Network meeting the needs and concerns of its stakeholders. The PICNIC architecture is presented through a number of views relevant to different stakeholder groups. The stakeholders of the first view are national and regional health authorities and policy makers. The view describes how the architecture enables the implementation of national and regional health policies, strategies and organisational structures. The stakeholders of the second view, the service viewpoint, are the care providers, health professionals, patients and citizens. The view describes how the architecture supports and enables regional care delivery and process management including continuity of care (shared care) and citizen-centred health services. The stakeholders of the third view, the engineering view, are those that design, build and implement the RHCN. The view comprises four sub views: software engineering, IT services engineering, security and data. The proposed architecture is founded into the main stream of how distributed computing environments are evolving. The architecture is realised using the web services approach. A number of well established technology platforms and generic standards exist that can be used to implement the software components. The software components that are specified in PICNIC are implemented in Open Source.

Cooperative Behavior↗

PubMed2005

PICNIC Technology.

A key objective of the Professionals and Citizen Network for Integrated Care (PICNIC) project was to provide products for a European and potentially worldwide software market. The approach followed was through the delivery of a number of Open Source (OS) components, to be integrated into applications that deliver similar services across the participating regions, aiming at their exploitation by other regions and the industry. This chapter describes the technology developed during the lifecycle of the PICNIC project, focusing on the three core services of Clinical Messaging, Access to Patient Data, and Collaboration. For each service, the entire process of how to turn its functional specifications into reusable components and common data sets in order to support Information Technology (IT) services for the next generation of secure, user-friendly healthcare networks is presented by means of common documentation tools. Security and privacy issues are also addressed.

Cooperative Behavior↗

PubMed2005

Lessons Learned from PICNIC.

This chapter reviews the PICNIC experience from conception to its realisation and draws conclusions on several fronts. It puts PICNIC within the current framework of needs and requirements, summarises shortly its main contributions, and discusses its main contributions. Special emphasis is given to understanding the needs and requirements resulting from a fragmented ICT market and the implications and possibilities that PICNIC has created for a consolidation of the market.

Journal Article↗

PubMed2002

A critical need for biosignal interpretation.

Biosignal interpretation (BSI) methods can be used to integrate information from different physiological signals and patient-state variables both to enable decision making regarding patient status and therapeutic actions and to improve the monitoring of patients and their organ systems. Although BSI research has yielded promising results over the last decade, the number of BSI algorithms implemented in commercially available systems and used routinely in clinical practice remains limited. This is probably due to limits in our understanding of the related clinical problems and our knowledge about the strengths and weaknesses of various BSI methods and tools. We have to continually repeat the cycle of analysis, planning, execution, and evaluation to develop an understanding of the right BSI algorithm for the right clinical problem that can be embedded in a commercial monitoring system. Advancing from the present, more descriptive stage to such formal knowledge and understanding requires time and learning.

Humans↗