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skram's profile
Mark Silverberg
Mark Silverberg
Mark Silverberg
@skram

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Mark Silverberg

@skram

API/data hacker | Technical Architect @SlackHQ | formerly CS Engineer @DominoDataLab, health data geek @Socrata, cofounder @SocialHealthIs

SFO (most of the time)
linkedin.com/in/silverbergm…
Joined February 2007

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    1. Pulse + Signal‏ @pulseandsignal 22 May 2014

      Did you know women are 32% more likely to have a diagnosis of anxiety than men? #PFInsight http://buff.ly/1jWIovg  v/ @cwhogg @PracticeFusion

      1 reply 0 retweets 0 likes
    2. Chris Hogg‏ @cwhogg 22 May 2014
      Replying to @pulseandsignal

      @pulseandsignal @PracticeFusion thanks Andre! Hope you find the tool useful. Would love your feedback from pub health perspective.

      1 reply 0 retweets 0 likes
    3. Brian Norris, RN, MBA‏ @Geek_Nurse 22 May 2014
      Replying to @cwhogg

      .@cwhogg cool new tool - the TOS is fairly strict and does not allow the sharing of the insights though. Any plans for API? @skram

      2 replies 0 retweets 0 likes
    4. Chris Hogg‏ @cwhogg 22 May 2014
      Replying to @Geek_Nurse

      @Geek_Nurse @skram no commitment on API yet, but definitely thinking about it. what would be useful as API?

      1 reply 0 retweets 0 likes
    5. Brian Norris, RN, MBA‏ @Geek_Nurse 22 May 2014
      Replying to @cwhogg

      @cwhogg an initial thought is counts over time by disease by geography by age / sex + meds data to MASHUP with @openfda and others @skram

      1 reply 0 retweets 0 likes
    6. Mark Silverberg‏ @skram 23 May 2014
      Replying to @Geek_Nurse

      @geek_nurse @cwhogg @openfda i think there are some cool possibilities for integrating FDA adverse events and PF market share knowledge

      1 reply 0 retweets 0 likes
      Mark Silverberg‏ @skram 23 May 2014

      @geek_nurse @cwhogg @openfda BTW - Chris - will you be at @hdpalooza this year? we should definitely meet!

      10:15 AM - 23 May 2014
      • 1 Like
      • Wen Dombrowski MD MBA - seek the truth
      0 replies 0 retweets 1 like

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