SpringML's Healthcare & Life Sciences Webinar Series 2021

  • Calendar
  • May 19 2021
    2:00 - 3:00 pm EST
  • Location
  • Online Webinar

How to Implement Remote Patient Monitoring

The pandemic has opened our eyes to the many ways of doing business remotely, including telemonitoring patients in real time. By integrating wearables, 3rd party devices, and even IoT data into the clinical workflow, your care teams can have immediate insights into patient status even outside the hospital or office. Tracking patient status in real-time improves patient outcomes and scales the best quality of care to the most patients possible. We’ll discuss:

  • How to build and deploy ML algorithms that analyze new contextual data from devices
  • How to integrate with medical devices – In-Patient as well as Out Patient
  • How to analyze data to identify abnormalities; push alerts to patients and physicians for timely intervention
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Presenters

Daniel Gonzalez

Daniel Gonzalez
HLS Solutions Lead,
SpringML

Tracy-Raush

Tracy Rausch
Founder, DocBox inc

The Future of Immunization Credentials

As vaccinations continue to ramp up across the country, the next phase in our recovery from the COVID-19 pandemic will see people starting to move about the world again. As travel begins to resume and offices reopen for employees, what will that look like in a post-pandemic world?

Join us for a webinar to learn about the future of immunization credentials for travel, business, health care, higher education and more. We’ll discuss:

  • An overview of the credentialing experience
  • Implementation, data privacy and scalability considerations
  • A tour of the state administrative portal
  • Flexible and customizable components for multiple use cases
  • A demo of the Safe Traveler app we developed for the State of Hawaii
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Presenters

Saravanan Jayakumar

Jay Saravanan
VP, Client Partner,
SpringML

Saravanan Jayakumar

Sindhu Adini
Director,
Google Cloud Services – Healthcare & Lifesciences Solutions,
SpringML

AI-Powered Medical Imaging Solutions

Navigating the pandemic forced many companies to pivot to a digital-first strategy, with telehealth and telemedicine receiving a lot of attention in 2020. The future of medical imaging solutions using AI holds great promise for saving lives, improving productivity, and reducing costs. We’ll discuss:

  • How to used AI based annotation and segmentation to improve workflows, and how to automate de-identification of clinical data from images
  • How to take advantage of Cloud and the innovations by industry leaders – Google Cloud – Healthcare API, NVIDIA – Clara and OHIF – zero footprint DICOM Viewer
  • Implementation strategies to support data import and enablement

Saravanan Jayakumar

Sindhu Adini
Director,
Google Cloud Services – Healthcare & Lifesciences Solutions,
SpringML

Brad Generaux

Brad Genereaux
Medical Imaging and Smart Hospitals Alliance Manager,
NVIDIA

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