Digital Health/Clinical Trials
Clinical Trials/Digital Health Newsletter

Digital Health/Clinical Trials

FDA Announces Additional Steps to Modernize Clinical Trials

Today, the U.S. Food and Drug Administration is announcing the availability of a?draft guidance?with updated recommendations for good clinical practices (GCPs) aimed at modernizing the design and conduct of clinical trials, making them more agile without compromising data integrity or participant protections. The updates are intended to help pave the way for more efficient clinical trials to facilitate the development of medical products.

Lindus Health to accelerate clinical trials with £6.5m funding

Lindus Health has secured a grant from Innovate UK Smart Grant and funding from investors to help speed up clinical research trials using its technology platform and machine learning.

How to Harmonize and Interpret the Tsunami of Sensor Data in Clinical Trials

The surge of wearable sensors is transforming the clinical trial experience for patients, sponsors, and research sites. Sensors can be worn by the patient 24/7 to capture physiology continuously, providing new insights to a patient’s journey, measuring disease progression or effects from therapeutic intervention.

Key Metrics That Support the Integrated Specialty Pharmacy Model

What makes integrated specialty pharmacies so effective? Pharmacists are part of the patient care team and have access to the electronic medical record (EMR) and appointment schedules, which allows them to coordinate and advocate for patients through a high-touch, white-glove care model.

Accelerating the digitisation of healthcare with digital health platforms

Digital platforms are set to be the gamechangers in achieving digitisation of healthcare. The integration of digital health platforms is key, enabling hospitals and healthcare systems to effectively deploy capabilities that can transform the delivery of care. A cloud-based platform provides the foundation for various digital health applications that can be used to support collaboration and clinical workflows, including innovative tools based on machine learning.

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