Supreeth Shashikumar

Research scientist @UCSDHealth working on improving healthcare delivery using machine learning.
Formerly: PhD @GeorgiaTech, @MSFTResearch, @qualcomm_in

[Supreeth Shashikumar @spshash]

Thanks @AmazonScience for covering our work on development of early sepsis prediction model at @UCSDHealth!
Special shoutout to my wonderful mentors @ShamimNemati @AtulMalhotra13 @WardiGabriel!

[Amazon Science @AmazonScience]

How can ML help hospitals detect sepsis? Using a model built by @UCSDHealth research scientist @spshash, clinicians have an early warning of patients predicted to develop sepsis in the next four hours. Learn how #AmazonResearchAwards helped scale the life-changing service.

[Shamim Nemati @ShamimNemati]

Building the NexGen predictive models in healthcare:
https://t.co/afRkcF7VZU

[Shamim Nemati @ShamimNemati]

🚨 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 @vishal15n @WardiGabriel @spshash @AtulMalhotra13
https://t.co/6YnmXDcy5f

[Supreeth Shashikumar @spshash]

@ShamimNemati @ABoussina @UCSDHealth @UCSDH_IS @ucsddbmi @InnovationUCSDH @AtulMalhotra13 @CALonghurst @DrBobOwens @kdpsinghlab @WardiGabriel @MikeMcCurdyMD @cmuptx Congratulations 🍾

[Shamim Nemati @ShamimNemati]

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!

[Gabriel Wardi @WardiGabriel]

Great working with @ABoussina @spshash @AtulMalhotra13 @ShamimNemati to get this important work out there! That you for highlighting this important work on #sepis and #ai in healthcare!

[npj Digital Medicine @npjDigitalMed]

New article! Read Integrating artificial intelligence into healthcare systems: more than just the algorithm https://t.co/JV4iG5l9Bo in npj Digital Med

[Supreeth Shashikumar @spshash]

@UCSDHealth @ABoussina @ShamimNemati @WardiGabriel @AtulMalhotra13 @DrBobOwens @CALonghurst related news coverage: https://t.co/sW21NljNxr

[Supreeth Shashikumar @spshash]

Very excited to share our latest work showing improvement in sepsis-related outcomes (in-hospital sepsis related mortality, sepsis bundle compliance and 72h SOFA change) after real-world deployment of COMPOSER AI platform! 1/2

[npj Digital Medicine @npjDigitalMed]

Can a novel #DeepLearning algorithm to predict #sepsis in the emergency department improve care?

Researchers from @UCSDHealth show proper implementation of the model can save lives of sepsis patients and improve quality metrics.

https://t.co/pVLoAqZNdr

[Supreeth Shashikumar @spshash]

Grateful to be working with a stellar team at @UCSDHealth to make this translational work a reality.
@ABoussina @ShamimNemati @WardiGabriel @AtulMalhotra13 @DrBobOwens @CALonghurst 2/2

[Supreeth Shashikumar @spshash]

Incredible excited that our team @healcisio is leading such translational efforts in AI in Medicine. 2/2

[Supreeth Shashikumar @spshash]

One of the few studies in the field of sepsis related predictive analytics reporting improvement in outcomes after real world deployment of an AI based deep learning model for early sepsis prediction. 1/2

[Clairyon @healcisio]

1/3 Healcisio's AI Reduces Sepsis Mortality By Nearly 20%: NIH Funded Healcisio Collaboration Advances the Development o... https://t.co/hqeCQwLPeV #AI #Sepsis #MedTwitter

[Shamim Nemati @ShamimNemati]

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.

[Shamim Nemati @ShamimNemati]

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.

[Gabriel Wardi @WardiGabriel]

Great collaborative effort with @ShamimNemati @spshash @ABoussina to put this forward. And huge thanks to the wonderful residents @UCSDEMResidency for attending the presentation at #ACEP23!

[Shamim Nemati @ShamimNemati]

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.

[Gabriel Wardi @WardiGabriel]

Great seeing the recognition the best #ML researchers out there are getting! @spshash @FatemehAmrollah @ShamimNemati and how their work is saving lives! @AtulMalhotra13 @CALonghurst

https://t.co/SkGDTeGEAO

[Shamim Nemati @ShamimNemati]

Great article by our #AWS partner featuring the Amazon Research Award winner @spshash & the brain behind our #sepsis #AI & quality improvement efforts @UCSDHealth:
https://t.co/4kk8aUAyfg

[Supreeth Shashikumar @spshash]

@ShamimNemati @UCSDHealth @WardiGabriel @AtulMalhotra13 @ABoussina Thanks shamim for always inspiring and motivating us to work on such impactful projects!

[Gabriel Wardi @WardiGabriel]

Interested in how to make your predictive models more clinically relevant? Check out our viewpoint on strategies to do this in @CritCareMed! @ShamimNemati @CALonghurst @AtulMalhotra13 @DrBobOwens

https://t.co/uiUmhxazgH