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Data and Information

By Emily Olsen | 01:12 pm | July 29, 2022
Clinicians will use Caption's AI-enabled guidance software to perform ultrasounds, even in patients' homes. Heartbeat's virtual cardiologists will receive and interpret the results remotely.
By Emily Olsen | 11:25 am | July 29, 2022
Ramakant Vempati, Wysa cofounder and president, discusses how the startup tests its AI-backed chatbot to monitor safety and quality.
By Adam Ang | 11:31 pm | July 28, 2022
Also, US-based healthcare cloud solutions provider Healthcare Triangle has expanded to Asia-Pacific.
By Emily Olsen | 01:46 pm | July 26, 2022
Also: Primary care tech company Elation Health raised $50 million, and patient intake chatbot Health Note closed a $17 million Series A.
By Emily Olsen | 11:04 am | July 26, 2022
Exo said integrating Medo's AI tools into its platform will let healthcare workers with less ultrasound expertise capture and interpret images.
HIMSS22
By HIMSS TV | 07:00 am | July 26, 2022
Availity's VP of product management Mark Martin explains how the company seeks to give payers and providers a streamlined process for approvals, referrals and claims management via AI and machine learning.                                              
HIMSS22
By HIMSS TV | 07:00 am | July 22, 2022
Informatics and technology can be a source for innovation in remote patient care, according to Nirav Shah, MD, Medical Director of Quality Innovation for NorthShore University HealthSystem.
HIMSS22
By HIMSS TV | 07:00 am | July 21, 2022
Smile, a FHIR-based enterprise data platform, helps manage data from a variety of sources for payers, providers and researchers, according to Duncan Weatherston, CEO of Smile CDR.
SPONSORED HIMSS22 Europe
By Philips | HIMSS TV | 03:00 pm | July 20, 2022
The latest Philips Future Health Index report offers new insights, including how the shortage in staff changes patient care, according to Elad Benjamin, general manager at Clinical Data Services at Philips.
By Emily Olsen | 12:37 pm | July 20, 2022
Eko Murmur Analysis Software is a machine learning algorithm that detects and characterizes heart murmurs in adult and pediatric patients.