Check out our latest work towards understanding generalizability of study results. Here we introduce a series of metrics to consider geospatial distribution in measuring representativeness of a study cohort. #healthinformatics
At Children's Mercy we are developing methods and tools to use geospatial analysis to evaluate the representativeness of research cohorts. A new
@JBI_journal paper lead by my colleague Keith Feldman shows our latest work on this topic. https://t.co/lSWWiWGhGC #Researchequity 1/2
. @ResearchCM doctoral research faculty member @KeithFeldman3 & coauthor Fredy Nehme write about the benefits & risks of using #GenerativeAI to aid #GI care in an editorial for the journal #Gastroenterology. Read more! https://t.co/XniL8YLsSI
@FromPhDtoLife I’ve seen it mentioned here a few times but I second the use of @clickup. The ability to set custom status names makes it able to fit into your preferred organization. And different status sets across lists is great for managing multiple projects of different types
Excited to see this work published. Highlighting increased risk of #PNALD in neonates with #CongenitalHeartDisease on long-term PN. Congrats @Y_Santharam and @ResearchCM team (@nicu_doc , @kidsliverdoc, Ayan Rajgarhia, Alexandra Oschman, Brian Lee)
https://t.co/aJFLytFDMJ
Corticosteroid response predicts bronchopulmonary dysplasia status at 36 weeks in preterm infants treated with dexamethasone: A pilot study https://t.co/d18dA2DfeS #Pedspulm TA: @MSUPedsPulm @PedPulmonol
Enjoyed putting this article together w/ @AnnieJRohan on infant, nursing, and unit-level data impacting #NICU staffing. Exploring complexity in both collecting pre-shift data and capturing intra-shift variability
#HealthInformatics@ResearchCM@MCNonline
https://t.co/lxYHQWE27f
@jacasiegel Health Inforamtics, Data Science/ML in healthcare settings - Would love to chat with students in computer science about grad school and research. We’re a predominately industry focused field so I’m always happy to discuss these opportunities.
Interested in Computational Health? We're Hiring! Work with us @ResearchCM Outcomes Research to develop #DataScience & #MachineLearning methods for real-world #healthcare
Postdoctoral Scholar(https://t.co/8EaUy0lRTI)
Summer Intern(https://t.co/XLYz6VZxel)
#HealthInformatics
@emlitofnote Thanks for your interest! Just to clarify the work did not focus on detecting AFib (excluded those w/dx) – Instead estimating likely candidates for OAC if AFib were detected. Based on EMR data (36%) The lower number estimates AFib risk in those candidates based on existing models
As a former fellow, I highly recommend this opportunity for graduate students interested in fostering undergraduate research and overall aspects of trainee development