Warning: The magic method Newspaper_X_Related_Posts::__wakeup() must have public visibility in /customers/0/9/1/designforwellbeing.org/httpd.www/wp-content/themes/newspaper-x/inc/libraries/class-newspaper-x-related-posts.php on line 68 Warning: Cannot modify header information - headers already sent by (output started at /customers/0/9/1/designforwellbeing.org/httpd.www/wp-content/themes/newspaper-x/inc/libraries/class-newspaper-x-related-posts.php:68) in /customers/0/9/1/designforwellbeing.org/httpd.www/wp-includes/feed-rss2.php on line 8 exdin – Design for Wellbeing https://www.designforwellbeing.org Innovation meets people Sun, 10 Nov 2019 09:21:33 +0000 en-US hourly 1 https://wordpress.org/?v=6.2.5 https://www.designforwellbeing.org/wp-content/uploads/cropped-logo-dfw-1-32x32.gif exdin – Design for Wellbeing https://www.designforwellbeing.org 32 32 Simulation of digital pathology in networked mode https://www.productdevelopment.se/?p=2305#new_tab&utm_source=rss&utm_medium=rss&utm_campaign=simulation-of-digital-pathology-in-networked-mode Thu, 10 Mar 2016 12:08:22 +0000 http://www.designforwellbeing.org/?p=910 Within the ExDIN project the goal is to support the transition from analogue to digital pathology in healthcare via digitalization of the imaging screening process. BTH had a project presentation in the VINNOVA-funded project that displayed the possibilities with digitalization using modelling and simulation of scenarios using discrete event simulation. Massimo Panarotto (PhD) and Tobias Larsson(Professor) are the contributors of the approach and the project partners contributed with data on the national scene of pathology. The results will be further presented at a special session of VITALIS in april.

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]]> ExDin III – Expertnätverk i diagnostik | 2015-2017 https://www.designforwellbeing.org/?p=816&utm_source=rss&utm_medium=rss&utm_campaign=exdin-iii-expertnatverk-i-diagnostik-2015-2017 Mon, 17 Nov 2014 19:38:50 +0000 http://www.designforwellbeing.org/?p=816 I takt med den åldrande befolkningen och de medicinska behandlingsmetoderna utvecklas ökar antalet personer som är multisjuka, vilket gör diagnostiken mer komplex och krävande. Projektet ska ta fram en modell för hur för samverkan mellan specialister i diagnostiska nätverk kan gå från projekt till ordinarie verksamhet. Samverkan sker mellan fem akademiska parter, tre landsting och två företag.

exdin-a

ExDIN III is the continuation of the ExDIN project into a phase C project in VINNOVA’s Challenge Driven Innovation theme Future healthcare.

Objective: Medical imaging is facing major challenges. The demographic and geographic structure needs to be addressed with new approaches and services. Digitalisation has been ongoing for over 10 years, but there is still great potential to be exploited in sharing capacity and expertise. This project focuses on this potential.

The project will analyze more effective forms of collaboration, working in networks. The issue is complex in nature as it spans over different health care providers, specialties and processes. It also covers a number of areas such as technology, patient safety, legal and regulatory requirements.

Making experts available to more than one care giver at a time, will result in benefits that we can assess today, but it will also create new structures and opportunities in medical imaging that can not be predicted.

The project results in a concept, tested in a pilot, within three major scenarios, access to capacity, peer nodes and multi-disciplinary teams. This will be available for healthcare to apply on various forms of medical imaging.

Today, there are no known initiatives that links technology with interaction, legal and commercial considerations. The potential is great, internationally, as medical imaging requires increasing resources for efficient and quality care.

The long term effects are:

  • Higher and more consistent level of diagnostics, regardless of location
  • Faster implementation of new evidence based medicine
  • Increased opportunities for high-quality diagnostics in smaller communities
  • Efficiency and reduced costs
  • Less traveling for patients and specialists

BTH staff: Prof Tobias Larsson (PDRL), Massimo Panarotto (PDRL)

Time span: 2015-2017

Funding: 19 MSEK (10 MSEK VINNOVA Challenge Driven Innovation, 9 MSEK partners), Phase B was 20 msek

Partners:

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]]> Effective analysis within medical imaging using collaboration based on networking structure | 2012-2014 https://www.designforwellbeing.org/?p=796&utm_source=rss&utm_medium=rss&utm_campaign=effective-analysis-within-medical-imaging-using-collaboration-based-on-networking-structure-2012-2014 Sat, 30 Jun 2012 19:04:24 +0000 http://www.designforwellbeing.org/?p=796

Objective: Medical imaging is facing major challenges. The demographic and geographic structure needs to be addressed with new approaches and services. Digitalisation has been ongoing for over 10 years, but there is still great potential to be exploited in sharing capacity and expertise. This project focuses on this potential.

The project will analyze more effective forms of collaboration, working in networks. The issue is complex in nature as it spans over different health care providers, specialties and processes. It also covers a number of areas such as technology, patient safety, legal and regulatory requirements.

Making experts available to more than one care giver at a time, will result in benefits that we can assess today, but it will also create new structures and opportunities in medical imaging that can not be predicted.

The project results in a concept, tested in a pilot, within three major scenarios, access to capacity, peer nodes and multi-disciplinary teams. This will be available for healthcare to apply on various forms of medical imaging.

Today, there are no known initiatives that links technology with interaction, legal and commercial considerations. The potential is great, internationally, as medical imaging requires increasing resources for efficient and quality care.

The long term effects are:

  • Higher and more consistent level of diagnostics, regardless of location
  • Faster implementation of new evidence based medicine
  • Increased opportunities for high-quality diagnostics in smaller communities
  • Efficiency and reduced costs
  • Less traveling for patients and specialists

BTH staff: Prof Tobias Larsson, Prof Bo Helgeson (COM), Madelene Larsson (COM), Massimo Panarotto

Time span: Phase B:2012-2014 / Phase C: 2015-2016

Funding: Phase B: 20 MSEK (10 MSEK VINNOVA Challenge Driven Innovation, 10 MSEK partners), Phase C: 19 MSEK (10 MSEK VINNOVA Challenge Driven Innovation, 9 MSEK partners).

Partners: RxEye AB (project leaders), Royal Institute of Technology, Blekinge Institute of Technology, County Council of Blekinge, County Council of Stockholm.

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