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Stanford researchers: Telemedicine optimization requires training, interoperability

Healthcare IT News - Telehealth

"To optimize patient and provider experience through telemedicine, stakeholders need to focus on enhancing technology interoperability and usability and providing sufficient training for efficient telemedicine use," wrote Sun, Blayney and Hernandez-Boussard. Embedded quality, value and patient-reported outcome metrics.

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Discord within Apple's health team, benefits from brain training games and more digital health news briefs

Mobi Health News

Also: Why digital medicine requires data interoperability; Portable smartphone tool quickly detects cholera in the field.

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Navigating the Interoperability Maze: 3 Key Challenges for Healthcare Providers and Payers

Healthcare IT Today

The following is a guest article by Anthony Murray, Chief Interoperability Officer at MRO In the ever-evolving landscape of healthcare, the quest for interoperability has become paramount. Here we explore the three main interoperability challenges that continue to shape the narrative in healthcare.

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Fax As An On-Ramp for Interoperability

Healthcare IT Today

The journey to achieve interoperability in healthcare has been too long and too expensive. To address this, companies have put effort into creating interoperability tools and platforms designed to make it easier to exchange data. To accelerate interoperability efforts, however, creating more technology may not the answer.

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Health Data and Interoperability Infrastructure Needs

Healthcare IT Today

However, amidst the IT infrastructure responses we received a number of health IT experts talking about the importance of health data and interoperability infrastructure. Here’s a look at the insights our community shared when it comes to health data and interoperability infrastructure. Parth Shah, Head of Product at AssureCare.

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Medal CEO's patient, provider experiences showed the human cost of interoperability woes

Mobi Health News

Lonnie Rae Kurlander has seen the healthcare system from a lot of angles: as a doctor-in-training, as a health tech CEO, and twice as a patient with a serious condition — once with a broken hip in a city far from home, and once with a mystery disease that left her too weak to walk or think.

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Obstacles to Healthcare Training Data Accuracy and How to Overcome Them

Healthcare IT Today

One of the biggest problems with AI solutions in healthcare right now is getting quality data that you can use to train your AI models. When you train an AI model using generic data, it is like a child trying to teach another child. You couldn’t just throw more data at the problem.