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Healthcare technology is transitioning from the predictable pace of Moore's Law to the unexpected challenges highlighted by Moravec's Paradox

Lloyd Price

Exec Summary Healthcare technology is transitioning from the predictable pace of Moore's Law to the unexpected challenges highlighted by Moravec's Paradox. Data Analysis: Powerful computers analyzing vast datasets to identify patterns and predict outcomes. ."

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Physicians’ Confidence In and Use of AI is Rising, AMA Finds – Coupling Demand With Many Enabling Factors

Health Populi

health system achieving the Quintuple Aim for a high performing health system. To that point, see this last chart where I added the red oval around a data point that stands out: that one-half of physicians would like to be consulted before a decision on the AI solution or plan is made.

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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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Technology is King but Methodology is Queen in HealthTech

Lloyd Price

The key to truly transforming healthcare lies in the intelligent and strategic application of that technology, guided by a robust and well-defined methodology. Telehealth Platforms: Technology (King): Video conferencing, remote monitoring tools, and secure messaging apps enable virtual consultations and remote care.

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The Future of Google Fitbit Labs: A Glimpse into Tomorrow's HealthTech

Lloyd Price

Key areas of focus within Google Fitbit Labs include: Wearable technology: Designing and developing advanced wearable devices like smartwatches and fitness trackers. Health data analysis: Utilising machine learning and data science to extract meaningful insights from health data.

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The trust gap in Healthcare AI

Lloyd Price

This can lead to mistrust, as patients and healthcare providers may not fully comprehend the reasoning behind AI-driven recommendations. Bias and Fairness: AI models can inherit biases present in the data they are trained on. This can lead to discriminatory outcomes, particularly for marginalised populations.

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HLTH 2024: What are the key talking points likely to be?

Lloyd Price

Overall, HLTH 2024 is expected to be a thought-provoking and informative event that will shape the future of healthcare. Nelson Advisors work with Healthcare Technology Founders, Owners and Investors to assess whether they should 'Build, Buy, Partner or Sell' in order to maximise shareholder value.