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1/4) >$4.6 billion in excess cost savings for CMS! Check out this interesting work by Parker Rogers and colleagues: "Optimizing the Implementation of Clinical Predictive Models to Minimize National Costs: A Sepsis Case Study": preprints.jmir.org/preprint/43486 #digitalhealth via JMIR Publications

Nice work by Fatemeh Amrollahi, Supreeth Shashikumar, Nathanyungmd showing wearable data can predict #sepsis readmissions Christopher A. Longhurst, MD Atul Malhotra, MD Predicting Hospital Readmission among Patients with Sepsis using Clinical and Wearable Data medrxiv.org/content/10.110…

Interested in how to make your predictive models more clinically relevant? Check out our viewpoint on strategies to do this in Critical Care Medicine! Shamim Nemati Christopher A. Longhurst, MD Atul Malhotra, MD Robert Owens journals.lww.com/ccmjournal/Ful…

Great article by our #AWS partner featuring the Amazon Research Award winner Supreeth Shashikumar & the brain behind our #sepsis #AI & quality improvement efforts UC San Diego Health: amazon.science/research-award…

Great seeing the recognition the best #ML researchers out there are getting! Supreeth Shashikumar Fatemeh Amrollahi Shamim Nemati and how their work is saving lives! Atul Malhotra, MD Christopher A. Longhurst, MD amazon.science/research-award…

MCoPet (Mobile Companion Pet) can now talk in different languages, communicate with #EHR via #FHIR, connect to #wearables & #IoT devices, and analyze a host of inclusive and insightful personal health-related data via #ArtificialIntelligence.

Great collaborative effort with Shamim Nemati Supreeth Shashikumar Aaron Boussina to put this forward. And huge thanks to the wonderful residents UCSD EM Residency for attending the presentation at #ACEP23!

1/4 Deployment of COMPOSER AI platform was associated with a 1.9% absolute reduction (17% relative decrease) in in-hospital #sepsis mortality, a 5.0% absolute increase (10% relative increase) in sepsis bundle compliance, and a 4% reduction in 72h SOFA change after sepsis onset.

2/4 The composer platform leverages #FHIR and #AWS cloud to enable real-time predictive analytics for various clinical scenarios, such as sepsis, respiratory failure, and deterioration, among others. It also integrates with existing #EHR systems and clinical workflows.

New article! Read Integrating artificial intelligence into healthcare systems: more than just the algorithm dlvr.it/T3V94C in npj Digital Med

Great working with Aaron Boussina Supreeth Shashikumar Atul Malhotra, MD Shamim Nemati to get this important work out there! That you for highlighting this important work on #sepis and #ai in healthcare!

4/5 In an ER setting, ordering of blood culture is often followed by administration of antibiotics, therefore it's not clear if providers will wait for a AI risk score to initiate treatments for sepsis. Moreover, all cases without a clinical suspicion of sepsis will be missed!

🚨 New study alert! Wearable devices + multiscale entropy = better prediction of unplanned hospital readmissions. Promising step for AI in healthcare! #AI #Wearables #HealthcareInnovation Great work by Vishal Nagarajan Gabriel Wardi Supreeth Shashikumar Atul Malhotra, MD academic.oup.com/jamia/article-…

Building the NexGen predictive models in healthcare: go.nature.com/4mgy5u9