The proportion of people who have died from coronavirus varies strikingly from country to country. Researchers warn that there are so many uncertainties that it remains almost impossible to draw firm conclusions about the death rate ft.trib.al/PQoqp1H
Eighth Roundtable Event: "Prospects and Challenges of Regenerative Kidney Medicine". Chaired by Dr. Barry Smith and Dr. Leif Oxburgh # #aiforkidneys pulseData Rogosin Institute lnkd.in/e5DVvXr
Eighth Roundtable Event: "Prospects and Challenges of Regenerative Kidney Medicine". Chaired by Dr. Barry Smith and Dr. Leif Oxburgh (@oxburghlab) hosted by @rogosin @cristinacebrian @cleaverlab @azeloglu @lisasatlin @kidneywarrior @pulse_data
Interested in how the value-based care models in Kidney Care Choices could impact your nephrology practice revenue? We have just the article for you:: : #medicare #nephrology #homedialysis #dialysis #kidneycarechoices #machinelearning #kidneytransplant #AIforKidneys @pulse_data
After an industry wide effort, kidney care reimbursement is being radically changed under the new #medicare Kidney Care Choices (KCC) payment models. We have crunched the numbers to see how these new models will impact the revenue of nephrology practices. pulsedata.io/news/how-kidne…
Check out our blog about the Benefit Enhancements available in Kidney Care Choices payment models. Let us know if we can help with your Jan 22nd applications. #kcc #homedialysis #telehealth #kidneydisease #acos pulseData
We dove in to summarize Kidney Care Choices (KCF/CKCC) Benefits Enhancements. In short, coverage for kidney disease education, telehealth, post-discharge care are extended for KCC participants. #AAKH #nephrology @ASNKidney @ASNAdvocacy @NKF pulsedata.io/news/kidney-ca…
A bit nervous, but oral presentation ✅ #kidneywk
Machine learning can help make critical decisions on renal replacement. Jung Hoon Son discussing the Rogosin-pulseData experience using machine learning to help nephrology care teams make data-driven clinical predictions.
Thanks for coming! ❤️
Collaboration between healthcare and data analytics done right: @pulse_data and The Rogosin Institute used machine learning prediction of 6-month incident ESKD to improve outpatient starts, starts with a fistula, and home dialysis. @rogosin #KidneyWk
@eugelin06 on healthcare insurance coverage impact on peritoneal dialysis. The likelihood of pd start depends on the day of the month at dialysis start. Interesting study!
In the spirit of our ML pre-course, sharing this editorial for @AJKDonline about the recent Nature paper on using deep learning to predict AKI. Hopefully this explains some of the difficult (but super cool) concepts! #kidneywk @drchrislaing ajkd.org/article/S0272-…
Collaboration between healthcare and data analytics done right: @pulse_data and The Rogosin Institute used machine learning prediction of 6-month incident ESKD to improve outpatient starts, starts with a fistula, and home dialysis. @rogosin #KidneyWk
Machine learning can help make critical decisions on renal replacement. Jung Hoon Son discussing the Rogosin-pulseData experience using machine learning to help nephrology care teams make data-driven clinical predictions.
@datascience_ed 'S best quote @pulseData is trending everywhere! #kidneywk
If you're in DC for @ASNKidney #KidneyWeek then would love to meet you for a drink. I'll be @churchkeydc tonight 7pm-9pm to discuss "big data" and the new kidney funding models. Hope to see you there, more info here: eventbrite.com/e/happy-kidney… #AIforKidneys
Shameless selfie for ID & oral presentation promo. Don't be shy to talk to this guy if you see him- lost #pathologist at a #nephrology conference, presenting on deployment of #MachineLearning with @rogosin for improving CKD care (TH-OR097) later today. @pulse_data #KidneyWk
Excited to have arrived in DC. @pulse_data's @junghoon_sonMD will be giving a presentation on how we used AI to drive optimal renal replacement therapy starts @rogosin at 6:18pm in Room 143 #kidneywk #kidneyweek #AIforKidneys
@pulse_data will be at @ASNKidney #KidneyWk We will be presenting work with @rogosin "Use of Machine Learning to Inform Decision Making and Optimal Renal Replacement Therapy" (TH-OR097) and Proactive Identification of Hyperkalemia via #EHR Phenotyping (SA-PO790) #ML #nephrology
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