Physicians know all too well the downsides of health care technology developed without doctors input early and often. But when physicians are key to the process from the start, they can help create technologies that will propel medicine into the future while improving patient care. https://t.co/wgH1uBJJLs
Our Chief Medical and Strategy Officer @pbpmd will join the Health Tech Talk Show with hosts @katmcdavitt and @lisabari to talk all things #HealthTech, right in time for next week’s #HLTHUSA 2024. Watch live Friday at 4:30pm ET or the recording: https://t.co/prpXWedw28
.@DiscernHealth is transforming predictive healthcare with real-time data and collaboration! In a recent webinar, Dr. Paulo Pinho (@pbpmd) shared how we’re tackling health disparities by focusing on equity in underserved populations. Learn more: https://t.co/JhywQVSQuB
Excited to share research on how AI/ML-powered Clinical Decision Intelligence Applications (CDIAs) can support brain health & improve equity in underserved communities. Read about the challenges & recommendations for sustainable adoption. https://t.co/WWKdBAmHTK
Honored to be named a longevity finalist in the @DigiHlthHubFdn Digital Health Awards! @DiscernHealth’s predictive tech helps prevent falls, improves health outcomes, and lowers costs. Congrats to our fellow finalists!
#DigitalHealthAwards#HLTH2024
How will demographic shifts impact U.S. #healthcare? Chief Medical and Strategy Officer Paulo Pinho discusses aging challenges, predictive analytics for fall detection, and the @CDC’s STEADI initiative in frailty prevention. Read more in @MedCityNews: https://t.co/3fgCBDI1q4
Thrilled to be a quarterfinalist for the @DigiHlthHubFdn Awards in the Longevity category! Our predictive data models help prevent falls, boost senior health, & cut healthcare costs. Congrats to all quarterfinalists: https://t.co/9oEQVtlGdl #DigitalHealth#FallsPrevention
Proud to be a quarterfinalist in the Digital Health Hub Foundation’s Digital Health Awards! Our Fall Prediction Model helps prevent falls and improve outcomes, supporting healthy aging. Learn more: https://t.co/R5xQSx5Xsz
We’re at the @LOINC Conference in DC! @DiscernHealth’s Katie Sutton will present “Using LOINC Questionnaires to Support Patient Care” on Fri, Sept 20th at 1:15 PM. Join us to learn how LOINC supports our Falls Prediction Model to help clinicians prevent catastrophic falls.
.@DiscernHealth is at APPex’s Advanced Practice Provider Leadership Summit in Nashville! Join Susan Machutt and Paulo Pinho (@pbpmd) as they present “Teamwork and Technology: A Solution for Healthcare’s Growing Supply-Demand Mismatch.” Stop by our poster to learn more.
My comments in @medpagetoday about a recent hospital visit. I just don’t understand how the average American navigates our dysfunctional healthcare system.🤦🏽♂️
I'm a Former Surgeon General and I Couldn't Believe My $10k Medical Bill | MedPage Today https://t.co/GHCUyVmBwf
For @hcittoday, Susan Machutt discussed #healthcare at home and the importance of innovative technologies to help #providers determine areas of focus for #patients to get to their optimal state of wellness. Read more: https://t.co/chlNbxV0u6
That’s a wrap on #HIMSS24. We had a great time meeting with #digitalhealth leaders and discussing the innovation coming down the pipeline in #healthcare. Missed the opportunity to meet? Reach out to schedule a meeting: https://t.co/KqKSrSv84K
The Future Is Now at #HIMSS24: Check out how emtelliPro+ is enabling healthcare teams to make safe and accurate diagnoses and determinations. What impact will this have for your team? 👉 https://t.co/jnQFDRZPwr
#HealthcareInnovation#MedicalAI#DigitalHealth#emtelligent
Discern Health's Susan Machutt, APRN-BC, ANP and Khurram Tehseen joined @hcittoday at #HIMSS24 to share more about the importance of powerful predictive data models that enable people to live healthier and more fulfilling lives.
There's still time to come see us at #HIMSS24! Swing by booth #3161 to meet up with the @DiscernHealth team and learn how we combine unique data sets to predict and manage risk.
#HIMSS2024
"We are respectful of #data privacy and security, but our models benefit from the ever-growing corpus of #clinicaldata. While our models never see the client's data, they are able to continuously make better predictions from their learning." - Jacob Dodd, lead data scientist.