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New Platform for Analyzing Data From mHealth Devices | healthcare technology | Scoop.it

From mhealthintelligence.com - April 19, 2021 1:43 AM

The Mayo Clinic has launched a new mHealth platform aimed at helping healthcare providers improve their use of connected health devices in remote patient monitoring and other mobile health programs.

The Remote Diagnostic and Management Platform (RDMP) connects devices to AI resources that would help providers with clinical decisions support and diagnoses in what the Minnesota-based health system calls “event-driven medicine.” It’s designed to help providers in and outside the health system analyze and act on data collected by mHealth devices.

“The dramatically increased use of remote patient telemetry devices coupled with the rapidly accelerating development of AI and machine learning algorithms has the potential to revolutionize diagnostic medicine,With RDMP, clinicians will have access to best-in-class algorithms and care protocols and will be able to serve more patients effectively in remote care settings. The platform will also enable patients to take more control of their health and make better decisions based on insights delivered directly to them.”

'Personalized advantage index' a new decision-making tool | healthcare technology | Scoop.it

From www.medicalnewstoday.com - January 13, 2014 8:28 PM

One of the primary social motivations for scientific research is the ability to make better decisions based on the results.

But whether it is deciding what material to use in making a solar panel, what antibiotic to use on an infection or when to launch a satellite, most decisions involve weighing multiple factors, all of which interact with one another in determining the best course of action.

Now, researchers at the University of Pennsylvania and the University of Pittsburgh have developed a decision-making model that compares and weights multiple variables in order to predict the optimal choice.

They tested their model on data from a study of patients seeking treatment for depression, who received either cognitive behavioral therapy or medication. By using the model to generate a score for each patient that indicated which treatment was likely to be more effective for him or her, researchers showed an advantage equivalent to that of an effective treatment relative to a placebo.

Called the "predictive advantage index," this analytic tool could be used not just in personalized medicine but in any decision-making scenario with complex, and potentially conflicting, variables.

New Platform for Analyzing Data From mHealth Devices

'Personalized advantage index' a new decision-making tool