{"id":"https://openalex.org/G4162292747","display_name":"Optimized flows and IT tools for digital pathology","description":"Purpose and goal:\r\nThe project aimed to prepare for groundbreaking improvements of health care by developing work flows and IT tools for digital work practices in pathology. This was formulated in three goals:\n1. Design of a complete solution for digital pathology, including workflows and requirements on IT tools\n2. Develop a demonstrator for central parts of the IT support\n3. Create an academic platform to support long-term development in the area.\nAll goals have been achieved and in many ways exceeded.\r\n\r\nExpected results and effects:\r\nInitially, in-depth analyses were performed of how the workflows are working today and what could be improved through digitization, which confirmed the potential for significantly raised efficiency and quality.\nThe results from the innovation efforts are manifested by the developed demonstrators, in particular the pathologist\u00b4s work station. A key achievement was the creation of an image viewer matching the speed of navigating the image in a microscope. A cornerstone has also been to spread the knowledge across professional and geographical borders.\r\n\r\nApproach and implementation:\r\nConsistently throughout all project efforts there has been a successful and close collaboration between health care, industry and academia where all expertise has been used to create optimal solutions for pathology. A key part of the setup was to early on create demonstrator versions used as a focus point for discussions. Likewise successful was to create forums for active spreading of also existing experiences. Skepticism often stems from lack of knowledge, why the communication aspect is crucial. To have driving industrial and academic partners has also been a success factor.","funder_award_id":"2012-01121","funder":{"id":"https://openalex.org/F4320321030","display_name":"VINNOVA","doi":"https://doi.org/10.13039/501100001858"},"funded_outputs":["https://openalex.org/W2055965251","https://openalex.org/W2087733521","https://openalex.org/W2517140213"],"funded_outputs_count":3,"parent_awards":[],"sub_awards":[],"sub_awards_count":0,"amount":9200000.0,"currency":"SEK","amount_usd":1360054.81,"amount_usd_basis":"daily_rate","recipients":[],"recipient_countries":[],"recipient_regions":[],"research_scope":{"is_research":true,"basis":"funder_default","tier":1},"funding_type":"grant","funder_scheme":"Project grant","start_date":"2012-08-01","end_date":"2014-11-28","start_year":2012,"end_year":2014,"landing_page_url":"https://www.vr.se/english/swecris.html","doi":null,"provenance":"swecris_vinnova","lead_investigator":{"given_name":null,"family_name":"Claes Lundstr\u00f6m","orcid":null,"role_start":"2012-08-01","affiliation":{"name":"Link\u00f6ping University","country":"Sweden","ids":null},"author":null,"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}]},"co_lead_investigator":null,"investigators":null,"works_api_url":"https://api.openalex.org/works?filter=awards.id:G4162292747","primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9663,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9663,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.0108,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T14512","display_name":"Technology and Human Factors in Education and Health","score":0.0071,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/digital-pathology","display_name":"digital pathology","score":1.0},{"id":"https://openalex.org/keywords/workflow-optimization","display_name":"workflow optimization","score":0.659},{"id":"https://openalex.org/keywords/software-tools","display_name":"software tools","score":0.828},{"id":"https://openalex.org/keywords/image-viewer","display_name":"image viewer","score":0.809},{"id":"https://openalex.org/keywords/demonstrator-development","display_name":"demonstrator development","score":0.612},{"id":"https://openalex.org/keywords/university-industry-collaboration","display_name":"university-industry collaboration","score":0.768},{"id":"https://openalex.org/keywords/knowledge-dissemination","display_name":"knowledge dissemination","score":0.737}],"sustainable_development_goals":[{"score":0.5379,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"},{"score":0.4286,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"institution_awarded":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"updated_date":"2026-11-13T03:01:57.000Z","created_date":"2026-07-31T15:59:35.000Z"}