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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.

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AI: Patients Included

Health Populi

“Encouraging generative AI adoption in healthcare depends on instilling models with empathy and domain-specific knowledge, mitigating bias by connecting the data ecosystem and continuously fine-tuning models, keeping humans in the loop and developing more cost-effective ways to train and run multi-modal foundation models,” the paper recommended.

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Weekly Roundup – January 13, 2024

Healthcare IT Today

The most pressing needs include better data collection, training AI models, privacy and security, and a smart approach to personalization. Read more… 2024 Health IT Predictions: Interoperability, Data, and the Cloud. Read more… 2024 Health IT Predictions: The Healthcare Workforce.

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What data and technologies are needed to propel telehealth quality?

Healthcare IT News - Telehealth

Virtual care aligns with strategic imperatives to improve health outcomes, enhance patient safety, and optimize the patient experience for populations with medical complexity and high healthcare needs. "These included the effectiveness of training programs and standardized processes," Aftab said.

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Best Practices for Hospitals Addressing Behavioral Health Platform Integration

Iris Telehealth

For many health systems, customized interfaces are expensive and labor-intensive In 2017, the American Hospital Association released data on the importance of interoperability in healthcare and how connected, shared health information can help achieve the best possible outcomes.

EMR 52
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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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The Future of Telemedicine Transformed by Large Language Models

Healthcare IT Today

These models are trained on vast datasets, enabling them to understand and generate human-like language with remarkable precision. Interoperability Healthcare providers use different electronic health record systems, which may not be interoperable with the large language models used in telemedicine.