{"id":662283,"date":"2020-05-26T23:47:21","date_gmt":"2020-05-27T06:47:21","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=662283"},"modified":"2020-06-18T21:25:00","modified_gmt":"2020-06-19T04:25:00","slug":"human-centered-methods-to-inform-the-design-of-information-technologies-for-team-based-depression-care","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/human-centered-methods-to-inform-the-design-of-information-technologies-for-team-based-depression-care\/","title":{"rendered":"Human-Centered Methods to Inform the Design of Information Technologies for Team-based Depression Care"},"content":{"rendered":"<p>Integrating team-based depression care into cancer services is effective in improving patient outcomes. Technology has a potential to enhance the implementation of such evidence-based depression care, but traditional methods of designing health information technologies (HITs) are insufficient in team-based and complex clinical contexts. We demonstrate the benefits of combining interviews and contextual inquiries to understand various care contexts and perspectives which are applicable to HIT design to support a wide range of chronic disease care.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Integrating team-based depression care into cancer services is effective in improving patient outcomes. Technology has a potential to enhance the implementation of such evidence-based depression care, but traditional methods of designing health information technologies (HITs) are insufficient in team-based and complex clinical contexts. 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