article thumbnail

AI in Healthcare and Life Sciences: Further Adoption Requires Better Data Infrastructure

Healthcare IT Today

While adoption of AI applications in healthcare is low , a recent study found that more than half of IT buyers are prioritizing AI/Machine Learning technology investments for the next five years, meaning there is a unique opportunity for healthcare and life science organizations to leverage AI for faster, safer, and more impactful outcomes.

article thumbnail

10 Key Medtech Themes for 2023

Henry Kotula

We expect 2023 to be a pivotal year for the industry, as the accelerated acceptance of virtual care and demographic trends, such as an aging population, increasing chronic illnesses and healthcare worker shortages, sustain demand for medtech-enabled solutions. Growing importance of data privacy and security.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Tech-enabled healthcare: What exactly is it? Funding, IPO's and Future Trends

Lloyd Price

Wearable devices: Wearable devices, such as fitness trackers and smartwatches, can be used to track patients' health data, such as heart rate, blood pressure, and sleep patterns. This data can be shared with healthcare providers to help them monitor patients' health and identify any potential problems early on.

article thumbnail

Think Like a LEGO Builder in Healthcare – Considering PwC’s New Health Economy Vision

Health Populi

It won’t come easy, as Ringo knew, but will require speaking in three languages, Jeff Arnold, Sharecare’s Chairman and CEO, advises in the report: those languages are healthcare, technology (e.g., Health Forum, held at the Lansdowne Resort on 7-8 May 2018. This report precedes the PwC 180?

article thumbnail

Healthcare Consumerism – 2023 Health IT Predictions

Healthcare IT Today

The pandemic accelerated digital transformation not just in health care, but across all sectors, resulting in dramatic increases in data volume. There is huge potential to use this data to impact health care, life sciences, discovery, treatment, and every point along the continuum to transform patients’ lives.