If you’re looking for a silver lining in the COVID-19 dark cloud still enshrouding the world, consider this: The pandemic has turbocharged widespread acceptance of at-home digital health solutions. Forced to function in a world of social distancing, healthcare providers and physicians have quickly discovered how easily telehealth visits, remote patient monitoring (RPM) and digital therapeutics can improve patient care. Many of these digital health innovations are designed to address
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Data-Driven Future: Impact of Machine Learning on Diabetes Management
“Information technology and business are becoming inextricably interwoven. I don't think anybody can talk meaningfully about one without the talking about the other” – Bill Gates wrote this in 1999 and, nowadays, the same can certainly be said about information technology and healthcare. The ability to collect, analyze, and use data is becoming ubiquitous with many of healthcare’s most exciting advancements. Whether it’s Google’s DeepMind using artificial intelligence (AI) to help
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Benefits of Store and Forward, or Asynchronous Telehealth Solutions
An introduction to asynchronous, or store-and-forward, as a modality of telehealth As our healthcare system continues to innovate in order to meet demands and improve the delivery of value, various telehealth solutions have emerged and been implemented to increase efficiency, access to, and quality of care. Telehealth is a broad term encompassing “a collection of technology-based means or methods to enhance healthcare delivery and education.” As defined by the National Telehealth
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Microsoft Launches $40M, 5-Year AI for Health Initiative to Advance Health Globally
- Microsoft launches 5-year, $40M AI for Health initiative to advance the health of people and communities around the world through artificial intelligence (AI). - AI for Health will focus on three core areas: quest for discovery, global health insights, and health equity. Microsoft
Corporation, today announced the launch of AI for Health, a new $40M, five-year program to empower researchers and
organizations with AI to improve the health of people and communities around
the
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Primary Care Doctors Use Autonomous AI to Instantly Detect Eye Disease
- A Georgia Primary Care Clinic is now using an autonomous AI system called IDx-DR to test patients for diabetic retinopathy, a leading cause of blindness. - IDx-DR is cleared by the FDA to make an assessment without the need for a clinician to also interpret the image or results, making it usable by healthcare providers who may not normally be involved in eye care. - The exam typically takes 5-10 minutes. Nurses use an automated fundus camera to take pictures of the patient’s retinas –
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NYC Health + Hospitals Launches Primary Care-Centered Diabetes Management Program
NYC Health + Hospitals, the largest public health care system in the nation announced the launch of a comprehensive, primary care-centered diabetes management program. The diabetes management program includes investing in new clinical pharmacy staff, equipment, and technology to improve health outcomes and expand services through telehealth techniques for more than 60,000 New Yorkers with diabetes who receive care in the City’s public hospitals and community-based health centers.Impact of
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FCC Strengthens Rural Telehealth Program: 5 Things to Know
The Federal Communications Commission (FCC) on Thursday took action to promote telehealth in rural America through reforms to the Rural Health Care Program that ensure limited program funds are disbursed efficiently and equitably, promote transparency and predictability in the program’s administration, and strengthen safeguards against waste, fraud, and abuse.
The announcement revises the rules governing the Telecom Program to simplify calculation of the urban rate—the amount health care
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Can AI Transform Patient Care from Reactive Craft to Strategic Art?
Personalized Analytics is becoming essential in healthcare, stemming from the movement from fee-for-service to a value-based market. The need to preempt and prevent disease on a more personal level, rather than merely reacting to symptoms, has created a significant opportunity for machine learning-based applications. This “analytics of one” approach (using advanced mathematical models and artificial intelligence techniques) is already impacting several key areas:
1. Medical imaging is utilizing
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IDx and Topcon Join Forces to Scale AI-based Diagnostic Platform in the U.S. Market
IDx, an AI diagnostics company, and Topcon, one of the world’s leading ophthalmic device manufacturers, have signed an exclusivity agreement that will allow the companies to scale delivery of AI-based diagnostic solutions in the U.S. market. As part of the agreement, is granted exclusive rights to IDx-DR system, an autonomous AI system that instantly detects diabetic retinopathy in fundus images, exclusively with Topcon NW400, an easy to use, robotic fundus camera. IDx-DR is an FDA-cleared
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Cox Health: Diabetic Retinopathy Telemedicine Improves HEDIS Quality Measures
CoxHealth, a Missouri-based health system and payer announced that it has improved its HEDIS quality measures using Intelligent Retinal Imaging Systems (IRIS) diabetic retinopathy telemedicine solution, according to a recent case study. For the case study, Cox Health administered the diabetic retinopathy exam (DRE) to 1,865 patients over an initial 100-day period, diagnosing 305 (16%) with diabetic retinopathy who otherwise would have gone undiagnosed.Case Study BackgroundWith approximately
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