Lead Staff Data Scientist @HEALTHatSCALE. Ph.D., Machine Learning, Healthcare.
San Jose, CA
Joined December 2017
- Tweets41
- Following430
- Followers162
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Jen Gong retweeted
We're hiring! Looking for data scientists to join our team @CIC_UTSW. Please share widely and feel free to DM me if interested! @jonc101x @docfordata @culehmann @Jen_Gong @SeriFeliciano
jobs.utsouthwestern.edu/job/…
jobs.utsouthwestern.edu/job/…
Check out our new paper out in #JAMIA using unsupervised machine learning with EHR metadata to identify distinct clinical documentation behaviors in first-year residents. Thanks to fantastic coauthors @j_r_a_m @HosseinSol @SaraMurrayMD !!
NEW paper out in #JAMIA! @Jen_Gong @SaraMurrayMD @j_r_a_m and Hossein Soleimani examined variation in clinical #documentation styles and the pattern between these styles and work hours in the #EHR. Check it out! @UCSF @UCSFDHM #ML #clinicalinformatics academic.oup.com/jamia/advan…
Thanks, @CliirUcsf! Love this team --- will miss working with all of you but happy that we still have two more months together :)
Jen Gong retweeted
@j_r_a_m will be participating in this @ONC_HealthIT panel presenting our latest national HIO survey results. Lots of new insights, especially related to #TEFCA and how #HIOs are gearing up. #AMIA2020 @JB_Everson @vp_healthIT @AMIAinformatics
Come to session S21 at #AMIA2020 to hear about some of the work I've been doing on characterizing clinical note documentation work and use @CliirUcsf. Work with my co-authors, Robert Thombley and @j_r_a_m !
Attend @AMIAinformatics presentation by @Jen_Gong on using #EHR audit log data to measure clinical note writing and viewing behaviors for a broad set of clinical and nonclinical users in order to better understand when, why, and to whom clinical notes are useful. #AMIA2020
Jen Gong retweeted
Attend the 3rd @AMIAinformatics presentation on the evolution of the National Research Network for EHR Audit Log Data. Three exciting research studies demonstrating the value of using audit log data to bring insights to healthcare processes and outcomes. @j_r_a_m @hribar_michelle
Jen Gong retweeted
Come hear a presentation by Michael Wang about a novel service-centered model to identify and attribute supervising and “digitally silent” providers in the EHR. @GRosenbluth @BenRosnerMD_PhD @j_r_a_m #AMIA2020 @AMIAinformatics s4.goeshow.com/amia/annual/2…
Jen Gong retweeted
Researchers at @HarvardChanSPH and @UCSF conducted a national hospital survey to measure adoption of #EHR functions that support care for older adults, focusing on structured documentation of the #4Ms New article out now in #JAMIA bit.ly/33LUsl6 @j_r_a_m
Jen Gong retweeted
Thank you @ONC_HealthIT for constant work to measure reg impacts. We offer ideas to help with latest effort: measuring new regs’ impact on interoperability. All stakeholders can help! @hmkyale @JoshCMandel @rickybloomfield @mickytripathi1 @mandl @atulbutte @Bob_Wachter
New on the blog: @j_r_a_m, @savagemehealth, + @AaronNeinstein of @ucsfcdhi @CliirUcsf say, "The #ONC’s new regulations take significant steps toward #interoperability, but without near-term proxy measures now we risk stumbling forward in the dark."bit.ly/3iADknz
Jen Gong retweeted
Combatting Anti-Blackness in the AI Community:
In this work, we aim to elucidate the scale and scope of anti-Black bias in the AI community and provide concrete steps to mitigate this bias and build a more just community.
devinguillory.com/files/AI_A…
Jen Gong retweeted
Deeply appreciate this important reframe #healthequity
Our new @JournalGIM paper led by @CRMHVanderbilt shifts from minorities lack trust to “all research is not worthy of trust”. African Americans wary if research team exclusively White. Also Skepticism bc African Americans reap less benefits from research. link.springer.com/article/10…
Jen Gong retweeted
1/2 As I can't think for myself these days, I'm gonna let other people do it for me by reading stuff in the backlog. Then I'm going to brag for the authors about how great their work is. First up is @az_jacobs and @hannawallach's Measurement and Fairness piece. I learned a lot...
Great piece from @SaraMurrayMD et al. Useful reminder that a model doesn’t start/end with its output — so important to design the right intervention. How do we ensure the careful design of AI systems in EHRs to expose and mitigate this kind of bias?
Biased #AI is already built-in to EHRs across the country - who is responsible for how it's used? Here is our @ucsfhealth experience with an Epic algorithm that predicts clinic no-show in @Health_Affairs
healthaffairs.org/do/10.1377…
Exciting program & impt questions!
"What type of information is used as training data? Who generates and collects it and for what purpose? What segments of society does it reflect? Who and what does it exclude? And how does that affect the functioning of AI systems themselves?"
We are thrilled to announce the launch of our Data Genesis program, a long-term research effort dedicated to examining the complex histories, construction, and use of the data that shapes AI. ainowinstitute.org/announcem…
Jen Gong retweeted
Want to learn what #CLIIR has been working on? Join us tomorrow at #UCSFSharecase Rutter Center, Mission Bay Conference Center, and catch presentations by our very own members - @j_r_a_m, Robert Thombley, Michael Wang, and Crissy Thao!
Full Schedule: sharecase.ucsf.edu/sessions
Jen Gong retweeted
The Health and Data Researcher will work on an empirical research project that interrogates the values, assumptions & frames driving the rapidly-evolving “Healthy Tech” ecosystem. Apply here: datasociety.net/blog/2019/10…
Jen Gong retweeted
“Because AI algorithms learn from existing data, there is a risk, @KadijaFerryman says, that the tools that result from this gold rush could entrench or deepen inequalities.” nature.com/articles/d41586-0…
Jen Gong retweeted
Wow - just found out that my and Yiling’s paper received an @ACM_CSCW Best Paper Award!! Can’t wait to share this work at the conference. Check out the paper and summary thread👇👇
Decision making is increasingly sociotechnical, yet we lack a thorough normative & empirical understanding of these processes. My new paper with Yiling Chen (forthcoming @ACM_CSCW!) explores the principles & limits of algorithm-in-the-loop decision making.
benzevgreen.com/wp-content/u…
Come work on data science in healthcare @UCSF!
@Arnaoutlab is HIRING a data scientist and data engineer! Defeat diagnostic error and discover new phenotypes in biomedical imaging alongside clinical experts and using UC's wealth of real-world, multi-modal data. arnaoutlab.ai/contact/#join-…