AgileMD @agilemd

EHR-integrated pathways, analytics, and scoring tools. agilemd.com San Francisco, CA Joined February 2013

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AgileMD @agilemd

a year ago

Vetting early warning scores is not for the faint of heart. Health system leaders: check out our latest blog post to avoid some of the common pitfalls. agilemd.com/post/how-to-ve…

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Listen to @JAMAplusAI interview with @agilemd co-founder @dpedelson on the current state of hospital early warning systems, results of a recent head-to-head study with Yale, and a look into why sepsis scores are failing us. Find here on Apple podcasts. podcasts.apple.com/us/podcast/jam…

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AgileMD @agilemd

2 years ago

Within a matter of hours following Hurricane Helene, UNC Health used @agilemd clinical pathways to address a large-scale IV fluid shortage while ensuring high-quality care. Congrats to our partners! news.unchealthcare.org/2024/12/unc-he…

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AgileMD @agilemd

2 years ago

#sepsis prediction models are inherently flawed. Read key takeaways from our recent @SepsisAlliance webinar exploring how to identify patients at risk of sepsis with the fewest false alarms. agilemd.com/post/sepsis-al…

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AgileMD @agilemd

2 years ago

Why do general deterioration risk scores outperform #sepsis scores? Join us Tuesday with @SepsisAlliance as we hear the latest research on sepsis early warning and a case study from Yale New Haven Health. Tuesday, November 19, 2-3pm EST / 11am-12pm PST. learn.sepsis.org/products/agile…

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JAMA+ AI @JAMAplusAI

2 years ago

From @JAMANetworkOpen: eCART outperformed the other #AI and non-AI early warning scores, identifying more deteriorating patients with fewer false alarms and sufficient time to intervene. ja.ma/4hk2mFK

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AgileMD @agilemd

2 years ago

Join us for an upcoming @SepsisAlliance webinar covering #sepsis early warning and management, the research comparing predictive tools, and what it’s been like to implement them in the real world at Yale New Haven Health. REGISTER HERE: lnkd.in/eWsBfuaE

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Eric Topol @EricTopol

2 years ago

Does an AI/ML model provide more accurate warning of clinical deterioration than older models (logistic regression or point-based) among >360,000 hospitalized patients in 7 hospitals? Yes. eCART (@AgileMD) performed best; EPIC (EDI) was one of the worst. jamanetwork.com/journals/jaman… by @dpedelson and colleagues Editorial jamanetwork.com/journals/jaman… by @AmolAVerma

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AgileMD @agilemd

2 years ago

New research shows eCART outperforms other commonly-used early warning scores. The study included nearly 400,000 inpatient encounters from seven @ynhhealth hospitals and showed that eCART led to tens of thousands fewer false alarms compared to other leading early warning scores.

JAMA Network Open @JAMANetworkOpen

2 years ago

In this cohort study of inpatient encounters, eCART outperformed the other #AI and non-AI early warning scores, identifying more deteriorating patients with fewer false alarms and sufficient time to intervene. ja.ma/3BK1JoF

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Doctor Radio @NYUDocs

2 years ago

How can AI predict complications in hospitalized patients? Medical Grand Rounds is LIVE. @MarkPochapin, @DrHLofton & @KHochmanMD are talking with @dpedelson @UChicagoMed Call us at 877-698-3627. sxm.app.link/DoctorRadio

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AgileMD @agilemd

2 years ago

The Health Benefits of Missing Data politi.co/3Wg8h6j via @politico

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Benjamin Vipler, MD, MEd @VipsMDMEd

2 years ago

Doctors: Medicine is too algorithmic. Also doctors: Have you seen the new @agilemd pathway?

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AgileMD @agilemd

2 years ago

We are proud to announce that eCART has received #FDA clearance to support frontline teams in identifying the highest-risk hospitalized patients. We are grateful for the opportunity and excited to make an even bigger impact moving forward! Learn more here: agilemd.com/updates/ecart-…

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AgileMD @agilemd

6 years ago

We appreciate @MATTERhealth for helping keep our #COVID19 work moving.

MATTER @MATTERhealth

6 years ago

As part of the COVID-19 Pandemic Response initiative, MATTER chose three #MATTERstartups as recipients of the COVID-19 Support Startup Grants. Member @agilemd is focusing on better aggregating data to improve clinical decision-making. Read more: ow.ly/57tO50Cjdwu

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AgileMD @agilemd

6 years ago

Great to have @COpediatricEM and @ChildrensColo utilizing @agilemd clinical pathways to address #COVID19 and #MISC management in children.

🏔COpediatricEM🚑 @COpediatricEM

6 years ago

@COpedsID @samdominguez3 @christie_oz @LeighAnneBakel @CO_PHMFellows @Colorado_AAP Clinical pathway for #MISC in @agilemd format (led by @christie_oz @LeighAnneBakel and others at @CUAnschutz ) is at agile.md/a/3rQew94Kttxs…

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AgileMD @agilemd

6 years ago

Thank you to @MATTERhealth for your consistent support as we partner with health systems to predict which patients will need critical interventions and guide clinicians on best practices to address #COVID19.

MATTER @MATTERhealth

6 years ago

Congratulations to the recipients of the #MATTER COVID-19 Support Startup Grant: @agilemd, @EmOpti and Diagnostic Photonics.

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AgileMD @agilemd

6 years ago

[status] Resolved: This incident has been resolved. We will continue to monitor closely. stspg.io/23q5gr9jxyfs?u…

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AgileMD @agilemd

6 years ago

[status] Monitoring: AgileMD has restored the affected databases and all related systems. Clinical pathways and all other applications are now fully functional. Thank you for your patience while we worked with our infrastructure provid… stspg.io/23q5gr9jxyfs?u…