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Ken Mandl
@
mandl
Boston, MA
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Harvard Prof & MD @HarvardDBMI | Director Computational Health Informatics Program @Bos_CHIP | Driving innovation in the information economy @SMARTHealthIT
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4.073
Tweetovi
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410
Pratim
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3.676
Osobe koje vas prate
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Atul Butte
@atulbutte
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21 h |
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Hilariously adversarial! Slowly move a wagon full of smartphones running @GoogleMaps and it appears as a traffic jam to others getting directions! twitter.com/stevenjcrowley…
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Dr. Maia Majumder
@maiamajumder
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2. velj |
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This #nCoV2019 case was also co-infected with Streptococcus pneumoniae & Haemophilus influenza type b, so deducing a precise cause of death may be challenging. Data across cases on both chronic *and* acute concurrent conditions will be critical for mortality risk factor analysis. twitter.com/whophilippines…
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Shannon Sartin
@sartin_shannon
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19 h |
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good tech can’t fix bad policy
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Ken Mandl
@mandl
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17 h |
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Today is 02022020, a palindrome. Some are scared. The condition is aibohphobia and is treated with xanax. (not original, but HT @victornizet ) twitter.com/jflier/status/…
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Ken Mandl
@mandl
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20 h |
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.@HarvardDBMI’s @IAmSamFin decries the futility of the “machine learning versus statistics” cold war. sgfin.github.io/2020/01/31/Com…
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Ken Mandl
@mandl
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20 h |
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.@HarvardDBMI’s @IAmSamFin decries the futility of the “machine learning versus statistics” cold war. sgfin.github.io/2020/01/31/Com…
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Dr. Zubin Damania
@ZDoggMD
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28. sij |
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A near-monopoly grown on the back of federal monetary incentives now seeks to block data-sharing. There's a special place in Hyperspace for these people... -->Epic’s call to block a proposed data rule is wrong for many reasons statnews.com/2020/01/27/epi…
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Vince Kuraitis
@VinceKuraitis
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28. sij |
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Epic’s call to block a proposed data rule is wrong for many reasons | @mandl & @zakkohane
statnews.com/2020/01/27/epi… #ONC2020 twitter.com/VinceKuraitis/…
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Anupama Srinivasa Gobalan
@theanusrini
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29. sij |
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As someone on the applications side, this interoperability makes all the difference. One day there maybe light at the end of this tunnel. statnews.com/2020/01/27/epi…
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Isaac Kohane
@zakkohane
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31. sij |
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Escaping the EHR Trap @nejm nejm.org/doi/full/10.10… will be accelerated by innovation brought forth by liberating out data @statnews statnews.com/2020/01/27/epi… twitter.com/skathire/statu…
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Naomi Fried
@NaomiFried
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31. sij |
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@zakkohane & @mandl have it right: #Epic's attempt to block proposed data rule is bad for #patients, #pricing, and #innovation. Without this type of rule, we'll move more quickly to a major #disruptive #innovation in #EHRs. #healthITchicks #HIT #HITSM ow.ly/ujYa30qdP82
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Eric Topol
@EricTopol
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30. sij |
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There's "precision medicine" and "rabbit hole medicine"
This report represents the latter. How to collect an avg $8,000/person, do many tests to get lots of abnormal findings (for more testing) and "health outcome and benefits were not measured" pnas.org/content/early/… @PNASNews pic.twitter.com/VF6ZMpfarT
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David Shaywitz
@DShaywitz
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29. sij |
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Key point re: EHR cos in interoperability news lately. Their key stakeholders=leading AMCs; AMCs are the ones who buy the huge contracts. Hard to escape idea that EHR co's basically give AMC's plausible deniability around data sharing; if AMC leadership wanted it, it would happen
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Ken Mandl
@mandl
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30. sij |
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The mortality rate in #nCoV2019 overestimated due to undercounting of less serious cases.
Reminiscent of H1N1 before it revealed itself to be what was thought of as an oxymoron—a mild pandemic.
statnews.com/2020/01/30/lim…
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Ben Moscovitch
@benmoscovitch
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30. sij |
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Today nearly 30 groups from across health care sent a letter to @SecAzar & OMB calling for the finalization of the API elements of the ONC & CMS rules without further delay. The groups include patients, providers, tech companies, app developers, public health advocates, et al pic.twitter.com/JJYR1rVTrc
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Dr. Maia Majumder
@maiamajumder
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29. sij |
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Out today is the first peer-reviewed basic reproduction number (R_0) estimate for #nCoV2019. Consistent with ranges presented by others in pre-print (including me & @mandl's), this team finds a mean R_0 of 2.2 [nejm.org/doi/full/10.10…]. Useful time-to-event distributions too. pic.twitter.com/GNsEL54VPy
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World Health Organization (WHO)
@WHO
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29. sij |
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IF YOU ARE A JOURNALIST, ask your new #coronavirus (2019-nCoV) questions, use hashtag #AskWHO and tell us the media you are representing
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Ken Mandl
@mandl
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29. sij |
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Use a permanent marker :)
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Ken Mandl
@mandl
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29. sij |
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Ken Mandl
@mandl
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29. sij |
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Just like Kate Winslet in Contagion, @bos_chip’s @maiamajumder explains #nCoV2019 Ro. “Because it’s above 1 ... we know it can cause sustained transmission in humans. Just because the number is high doesn’t mean it’s going to cause a massive pandemic.”
vox.com/2020/1/28/2107…
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