Welcome to the Let's Get Technical Group!

This is where technical-oriented professionals in social, health and human services and other sectors come together to discuss cross-silo, multi-disciplinary issues people across the country face every day. The group is exploring common concerns and challenges, such as aligning information-exchange standards, identifying trusted person-matching methods, and focusing on data-sharing innovations. We have also recently launched our first proof of concepts. to accelerate the exchange of actionable information across domains through a collaboration between NIC and MITA TAC . Join the conversations, share knowledge and resources, discuss emerging trends and participate in shaping solutions. Read more >>

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Applying emerging technologies invariably depends on sharing data in a controlled, secure and timely way. We need to do that because of the significant, positive impact on people’s lives. Using technology to incorporate the social determinants can improve outcomes, improve quality and reduce costs. The technologies are here or are on the horizon, so we need a bold vision and actionable process for learning about them and then using them judiciously and ethnically; otherwise, we’re not doing our jobs or seizing the opportunities in front of us, right now.
- Let's Get Technical Group Moderator, Dave Walsh

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We can never empty an ocean! I don't think we will find a solution that works for the entire country. But I am confident that with people working with this Let’s Get Technical Group, we can find a community of organizations that can significantly increase our ability to ask the right questions needed with the right request/intent, and with the capability of getting that information electronically in a way that is meaningful and much better than we are doing now. We don’t have to solve them all! - Let's Get Technical Group Member | EP3 Foundation CEO, Marsali Hancock

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Mobile health and privacy: cross sectional study

Objectives: To investigate whether and what user data are collected by health related mobile applications (mHealth apps), to characterise the privacy conduct of all the available mHealth apps on Google Play, and to gauge the associated risks to privacy. Main outcome measures: Primary outcomes were characterisation of the data collection operations in the apps code and of the data transmissions in the apps traffic; analysis of the primary recipients for each type of user data; presence of…

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