{"id":656,"date":"2019-04-15T12:01:52","date_gmt":"2019-04-15T16:01:52","guid":{"rendered":"https:\/\/digital.hbs.edu\/platform-mhcdsolutions\/submission\/data-as-currency-ai-development-of-a-data-science-institute-in-an-institution-not-connected-to-an-academic-university\/"},"modified":"2019-04-15T12:01:52","modified_gmt":"2019-04-15T16:01:52","slug":"data-as-currency-ai-development-of-a-data-science-institute-in-an-institution-not-connected-to-an-academic-university","status":"publish","type":"hck-submission","link":"https:\/\/d3.harvard.edu\/platform-mhcdsolutions\/submission\/data-as-currency-ai-development-of-a-data-science-institute-in-an-institution-not-connected-to-an-academic-university\/","title":{"rendered":"Data as Currency: AI. Development of a Data Science Institute in an Institution NOT connected to an academic university"},"content":{"rendered":"<p>AI is a paradigm shifting force particularly for medical imaging.\u00a0 Radiology is one of the most data rich specialties.\u00a0 Information in images that is imperceptible to the eye are a particularly rich source of data for research outcomes.<\/p>\n<p>New teams are needed.\u00a0 Many of the key people\/stakeholders are not part of a traditional radiology team.\u00a0 They include in addition to radiologists, computer scientists, pathologists, oncologists, biologists, biostatisticians and post docs and students.\u00a0 Many of these people are only found at a university &#8211; particularly a tech campus.<\/p>\n<p><strong>**For institutions without a connected university\/technology, how can robust AI teams be built to create and support a Data Science Institute?**<\/strong><\/p>\n<p>There are many other challenges using the data to build models and moving toward a more automated algorithmic approach.<\/p>\n<p>Challenges include ethical issues such as patient confidentiality and legal issues.\u00a0 Who owns the data?\u00a0 How do you develop and maintain trust with patients and referrers?\u00a0 How does academics and industry work together?<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>#AI is #FutureofHealthcare.  For #Healthcare Institutions without a connected #university or #technology campus, how can robust AI teams be built to create and support a #DataScienceInstitute for #imaging #data so that #algorithms are developed and #PatientOutcome studies are performed ?<\/p>\n","protected":false},"author":12220,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","categories":[50,421,34,48,407,41],"class_list":["post-656","hck-submission","type-hck-submission","status-publish","hentry","category-healthcare-industry","category-innovation","category-new-organisational-model","category-team-development","category-trust","category-vendors","hck-taxonomy-organization-hospitals","hck-taxonomy-industry-health","hck-taxonomy-country-united-states"],"connected_submission_link":"https:\/\/d3.harvard.edu\/platform-mhcdsolutions\/conversation\/mhcd-solutions\/","yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Data as Currency: AI. 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