Remove Health Data Remove Interoperability Remove Training
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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. If the future of healthcare is built on the back of data, then it makes sense why health data infrastructure would be such an important topic.

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“Digital Health Is An Ecosystem of Ecosystems” – CTA’s 2020 Trends to Watch Into the Data Age

Health Populi

That speaks to Steve’s phrase, “ecosystem of ecosystems,” because that’s not just “digital” health — that’s now the true nature of health/care, and what is driving connectivity toward interoperability, cloud computing, and the adoption of APIs to enable health data liquidity.

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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. While the vision of seamless data exchange promises improved patient care and streamlined operations, the journey is not without its hurdles.

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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.

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Digital Health Gaps in the Pandemic Through the Eyes of Younger Physicians

Health Populi

Telehealth in the pandemic was, in Philips’ words, “crucial but underused” Interoperability is still an obstacle, and, Digital technology will be pivotal in the next few years. Our health care system is only as strong as the clinicians who have been trained and committed themselves to serve it.

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Crystal Ball Compilation: Digital Health in 2025

Digital Health Wire

Until AI training is ubiquitous, startups will need their own teams to make it happen. Forbes – Anti-Predictions For Healthcare In 2025 , Seth Joseph Favorite Forecast: Progress on data interoperability will continue, but painfully slowly. Public healthcare tech companies have a service-heavy revenue mix for a reason.

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The Intersection of Trust Integration Engines (TIEs) and Healthcare AI: A Powerful Synergy

Lloyd Price

They serve as intermediaries, facilitating the secure and efficient exchange of health data between different systems and organisations. This is particularly crucial in the context of healthcare AI, where large datasets are required to train and validate machine learning models.