UVA Center for Advanced Medical Analytics
@UVA_CAMA
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Clinicians and quantitative scientists working together for 20 years harness readily available data to develop targeted models for life-saving early diagnosis.
Charlottesville, VA
Joined April 2020
Join us tomorrow for an exciting talk on teaching Language models to reason about clinical time series by @tom_hartvigsen @uvadatascience at CAMA lunch series. Dm us for meeting details!.#largelanguagemodels #uvacama.
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Congratulations Dr. Gadrey on a new R01 award for assessment of labored breathing using respiratory kinematics🎊 Read more on #laboredbreathing #respiratorykinematics
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Thrilled to see our dynamic director @SullivanBrynne leading the conversation on the importance of reducing disparities in neonates through predictive analytics at @UVAPediatrics Grand Rounds! .#healthequity #areadeprivationindex #socioeconomicdisparities
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‼️🚨 Check out this new publication from our CAMA colleagues @DespiteTheTimes @jesskeimmalpass on the decrease in incidence of cardiac arrest after implementation of a predictive analytics display using CoMET ☄️ . #machinelearning #pediatricresearch
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RT @SullivanBrynne: Check out👀new @NeomindAi group publication @Ped_Research 🔗➡️Results from our modeling competiti….
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🚀 Exciting updates! Explore our revamped website to see how we're driving innovation at the intersection of data science and clinical research @UVA @uvasom @UVAPediatrics. Check out our latest projects, research, and more:
med.virginia.edu
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Join us for this exciting talk on how AI is transforming digital surgery at UVA's Center for Advanced Medical Analytics! . #DigitalSurgery #AIinHealthcare #UVAMedicalAnalytics #uvacama
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RT @SullivanBrynne: In a collab with @UVaNICU and @vesoulislab we studied physiological effects of dexmedetomidine in #preemies. We consid….
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Interesting talk at CAMA today on the potential of predictive modeling for catching ‘spreading depolarization’ (SD) in the brain by Dr. Andrew Carlson from @UVAneurosurg . #invitedspeakerseries #cama #predictivemodeling #aiinmedicine #spreadingdepolarization #braininjury
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RT @SullivanBrynne: I’m excited and honored to be the new Director of the Center for Advanced Medical Analytics at @MedicineUVA @UVAPediatr….
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RT @jesskeimmalpass: An important piece from @RandallMoorman founder of @UVA_CAMA on the principles of predictive analytics monitoring in t….
nature.com
npj Digital Medicine - The principles of whole-hospital predictive analytics monitoring for clinical medicine originated in the neonatal ICU
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RT @UVA_PICU: Great research collaboration between @UVASON @UVaNICU @UVA_CAMA and @UVA_PICU - Individual illness dynamics: An analysis of c….
journals.plos.org
Author summary Patterns of illness recovery and decline may be important to understand the illness course during a critical care admission. This paper highlights a novel approach to characterizing...
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RT @jesskeimmalpass: Our @uva_cama clinical trial at @uvahealthnews using physiologically-based AI visual risk analytics started randomizat….
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Clinicians at the point of care, including nurses, are central to the implementation and adoption of these analytics, and engagement with these key stakeholder groups is necessary throughout the development and implementation process.
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Why precision? Because beyond detecting events of clinical deterioration, when visualized in this sense the risk estimates can provide an overall sense of physiological acuity and responsiveness to therapy that can be monitored.
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What is in the model? Clinical data from an EMR (vital signs, laboratory results, assessments), but also every 2 second data from EKG waveforms and computations based on those waveforms.
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