Events Calendar

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11:00 AM - Charmalot 2025
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Oracle Health and Life Sciences Summit 2025
2025-09-09 - 2025-09-11    
12:00 am
The largest gathering of Oracle Health (Formerly Cerner) users. It seems like Oracle Health has learned that it’s not enough for healthcare users to be [...]
MEDITECH Live 2025
2025-09-17 - 2025-09-19    
8:00 am - 4:30 pm
This is the MEDITECH user conference hosted at the amazing MEDITECH conference venue in Foxborough (just outside Boston). We’ll be covering all of the latest [...]
AI Leadership Strategy Summit
2025-09-18 - 2025-09-19    
12:00 am
AI is reshaping healthcare, but for executive leaders, adoption is only part of the equation. Success also requires making informed investments, establishing strong governance, and [...]
OMD Educates: Digital Health Conference 2025
2025-09-18 - 2025-09-19    
7:00 am - 5:00 pm
Why Attend? This is a one-of-a-kind opportunity to get tips from experts and colleagues on how to use your EMR and other innovative health technology [...]
Charmalot 2025
2025-09-19 - 2025-09-21    
11:00 am - 9:00 pm
This is the CharmHealth annual user conference which also includes the CharmHealth Innovation Challenge. We enjoyed the event last year and we’re excited to be [...]
Civitas 2025 Annual Conference
2025-09-28 - 2025-09-30    
8:00 am
Civitas Networks for Health 2025 Annual Conference: From Data to Doing Civitas’ Annual Conference convenes hundreds of industry leaders, decision-makers, and innovators to explore interoperability, [...]
TigerConnect + eVideon Unite Healthcare Communications
2025-09-30    
10:00 am
TigerConnect’s acquisition of eVideon represents a significant step forward in our mission to unify healthcare communications. By combining smart room technology with advanced clinical collaboration [...]
Pathology Visions 2025
2025-10-05 - 2025-10-07    
8:00 am - 5:00 pm
Elevate Patient Care: Discover the Power of DP & AI Pathology Visions unites 800+ digital pathology experts and peers tackling today's challenges and shaping tomorrow's [...]
Events on 2025-09-09
Events on 2025-09-17
MEDITECH Live 2025
17 Sep 25
MA
Events on 2025-09-18
OMD Educates: Digital Health Conference 2025
18 Sep 25
Toronto Congress Centre
Events on 2025-09-19
Charmalot 2025
19 Sep 25
CA
Events on 2025-09-28
Civitas 2025 Annual Conference
28 Sep 25
California
Events on 2025-10-05
Latest News

Austin Regional Clinic Selects Notable Health to Advance New Artificial Intelligence Powered Physician-Patient Interaction Using the Apple Watch

Artificial Intelligence
Stethoscope in front of the heartbeat monitor.
Leading Texas Medical Group to Leverage Notable Health’s Wearable Technology to Help Improve Data Accuracy and Minimize Patient Interaction Interference

Austin Regional Clinical (ARC), a leading multispecialty medical group based in Austin, Texas, announced it has engaged Notable Health, an artificial intelligence (AI) powered health care company that automates and digitizes physician-patient interactions, to help improve patient engagement and reduce ARC physicians’ time entering data into the group’s Epic Electronic Health Record (EHR).

To achieve these goals, ARC is leveraging Notable Health’s AI-powered technology across multiple locations and specialties to quickly improve data accuracy and physician-patient interactions. Notable Health’s technology leverages an Apple Watch to document physician-patient discussions and uses AI, machine learning, and natural language processing to parse the conversation down to its relevant pieces and accurately record these in the patient’s electronic file.

“ARC has long been a leader in adopting new technologies to help its physicians provide the best patient care possible. We are excited to work with them as they look to use Notable Health’s AI-powered wearable technology to enhance their physicians’ clinical workflows, streamline administrative tasks and improve patient data capture which will allow them to spend more time with patients,” said Pranay Kapadia, Co-founder and CEO of Notable Health. “Partnering with ARC is also a great example of Notable Health’s ongoing efforts to expand the specialties we support and ability to quickly implement our wearable technology with minimal IT resources across a large, multi-specialty group’s enterprise EHR platform.”

Notable Health’s technology acts as an “autopilot” for clinical administration tasks that uses sophisticated AI to learn physician behaviors and patterns and proactively assists with ICD-10 coding, E&M billing, adherence to quality measures, and streamlining the routing of orders. For in-visit findings, ARC physicians will use Apple Watch device to capture audio during and after a patient visit. Data will be automatically structured and entered into the correct EHR fields, ensuring zero workflow interruption.

“We are always looking to deploy new technologies at ARC that will allow our physicians to optimize their clinical and administrative workflows resulting in overall better physician wellness and patient care,” said Dr. Manish Naik, MD, Chief Medical Information Officer for ARC. “Notable Health’s unique platform brings together AI, wearable, and voice interface technologies that will allow us over time to better utilize our existing IT systems, reduce strain on our physicians, and improve the overall patient experience.”

About Austin Regional Clinic

Austin Regional Clinic is a multispecialty medical group committed to providing comprehensive healthcare services throughout Central Texas. Founded by three physicians in 1980, it now provides health care to over 475,000 area residents in 25 locations in ten cities, including both primary and specialty care.

About Notable Health

Notable Health is an AI-powered health care company that puts appointments on autopilot. By analyzing historical patterns of practice, Notable proactively automates away hundreds of manual repetitive tasks like adding diagnoses, orders, templates, billing codes, and more. The company has also developed technology that uses natural language processing and voice recognition to capture audio from doctor-patient interactions and structure it for inclusion in patient medical records.

Source