際際滷shows by User: giorgiobaresi / http://www.slideshare.net/images/logo.gif 際際滷shows by User: giorgiobaresi / Sat, 03 Dec 2011 08:41:07 GMT 際際滷Share feed for 際際滷shows by User: giorgiobaresi Objective vs Subjective Self-tracking /slideshow/objective-vs-subjective-selftracking/10446490 qsconferenceobjectivevssubjective04gb-111203084110-phpapp01
Connected devices and sensors automate the way clinical, objective data are collected and shared with Caregivers and Healthcare Professionals to help them take evidence-based decisions. On the other hand, self-reported, subjective data often remain a key source of information in order to have a better, more holistic understanding of a person's conditions. In which cases is it preferable to combine objective and subjective data? How can we successfully combine the two in a person-centric approach to healthcare without overwhelming people with extra work?]]>
Connected devices and sensors automate the way clinical, objective data are collected and shared with Caregivers and Healthcare Professionals to help them take evidence-based decisions. On the other hand, self-reported, subjective data often remain a key source of information in order to have a better, more holistic understanding of a person's conditions. In which cases is it preferable to combine objective and subjective data? How can we successfully combine the two in a person-centric approach to healthcare without overwhelming people with extra work?]]> Sat, 03 Dec 2011 08:41:07 GMT /slideshow/objective-vs-subjective-selftracking/10446490 giorgiobaresi@slideshare.net(giorgiobaresi) Objective vs Subjective Self-tracking giorgiobaresi Connected devices and sensors automate the way clinical, objective data are collected and shared with Caregivers and Healthcare Professionals to help them take evidence-based decisions. On the other hand, self-reported, subjective data often remain a key source of information in order to have a better, more holistic understanding of a person's conditions. In which cases is it preferable to combine objective and subjective data? How can we successfully combine the two in a person-centric approach to healthcare without overwhelming people with extra work? <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/qsconferenceobjectivevssubjective04gb-111203084110-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Connected devices and sensors automate the way clinical, objective data are collected and shared with Caregivers and Healthcare Professionals to help them take evidence-based decisions. On the other hand, self-reported, subjective data often remain a key source of information in order to have a better, more holistic understanding of a person&#39;s conditions. In which cases is it preferable to combine objective and subjective data? How can we successfully combine the two in a person-centric approach to healthcare without overwhelming people with extra work?
Objective vs Subjective Self-tracking from Giorgio Baresi
]]> 6060 5 https://cdn.slidesharecdn.com/ss_thumbnails/qsconferenceobjectivevssubjective04gb-111203084110-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Extracting Wisdom from Data /slideshow/extracting-wisdom-from-data/10446455 qsconferenceextractingwisdomfromdata04gb-111203083617-phpapp02
In a highly sensitive industry like healthcare, Patients are often too overwhelmed, Healthcare Professionals are usually too busy and Caregivers can be too emotionally involved to successfully interpret and use raw, unprocessed data. That's why transforming raw data into relevant, meaningful and actionable information becomes a key factor in turning data-collecting systems into powerful behavior-changers. How can we successfully turn huge amounts of data into a meaningful flow of information that actually supports people without adding further noise to their lives and jobs? To what extent can software and algorithms replace human intervention in critical situations?]]>
In a highly sensitive industry like healthcare, Patients are often too overwhelmed, Healthcare Professionals are usually too busy and Caregivers can be too emotionally involved to successfully interpret and use raw, unprocessed data. That's why transforming raw data into relevant, meaningful and actionable information becomes a key factor in turning data-collecting systems into powerful behavior-changers. How can we successfully turn huge amounts of data into a meaningful flow of information that actually supports people without adding further noise to their lives and jobs? To what extent can software and algorithms replace human intervention in critical situations?]]> Sat, 03 Dec 2011 08:36:16 GMT /slideshow/extracting-wisdom-from-data/10446455 giorgiobaresi@slideshare.net(giorgiobaresi) Extracting Wisdom from Data giorgiobaresi In a highly sensitive industry like healthcare, Patients are often too overwhelmed, Healthcare Professionals are usually too busy and Caregivers can be too emotionally involved to successfully interpret and use raw, unprocessed data. That's why transforming raw data into relevant, meaningful and actionable information becomes a key factor in turning data-collecting systems into powerful behavior-changers. How can we successfully turn huge amounts of data into a meaningful flow of information that actually supports people without adding further noise to their lives and jobs? To what extent can software and algorithms replace human intervention in critical situations? <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/qsconferenceextractingwisdomfromdata04gb-111203083617-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In a highly sensitive industry like healthcare, Patients are often too overwhelmed, Healthcare Professionals are usually too busy and Caregivers can be too emotionally involved to successfully interpret and use raw, unprocessed data. That&#39;s why transforming raw data into relevant, meaningful and actionable information becomes a key factor in turning data-collecting systems into powerful behavior-changers. How can we successfully turn huge amounts of data into a meaningful flow of information that actually supports people without adding further noise to their lives and jobs? To what extent can software and algorithms replace human intervention in critical situations?
Extracting Wisdom from Data from Giorgio Baresi
]]> 6665 5 https://cdn.slidesharecdn.com/ss_thumbnails/qsconferenceextractingwisdomfromdata04gb-111203083617-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-giorgiobaresi-48x48.jpg?cb=1666161384 A wannabe airplane pilot turned designer. www.baresi.org/ https://cdn.slidesharecdn.com/ss_thumbnails/qsconferenceobjectivevssubjective04gb-111203084110-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/objective-vs-subjective-selftracking/10446490 Objective vs Subjectiv... https://cdn.slidesharecdn.com/ss_thumbnails/qsconferenceextractingwisdomfromdata04gb-111203083617-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/extracting-wisdom-from-data/10446455 Extracting Wisdom from...