AMA Collaborates With Google for Solutions of Mobile Technology to Monitor Health

Google and the American Medical Association (AMA) have together joined hands to invite new solutions for mobile health technology, through wearable devices and applications that can monitor health data and effectively manage chronic diseases.

The American Medical Association (AMA) has partnered with Google to help inspire some new solutions for mobile health technology, like wearable devices and applications that help monitor and share health data between patients and doctors, as well as improve the management of chronic diseases.

AMA's "The Health Care Interoperability and Innovation Challenge" seeks to evolve available health data to depict a complete picture of a patient's journey from wellness to illness to treatment and beyond that allows health care delivery to fully focus on patient function, state, outcomes, and goals.

Artificial Intelligence in Healthcare - An Overview
Artificial intelligence (AI) in healthcare is the discipline using data intensive computer based solutions to improve patient care and outcome.

‘Google and the American Medical Association (AMA) collaborate to invite novel solutions, through devices and mobile applications that will help monitor health data and also manage chronic conditions.’

It looks for solutions that demonstrate how data related to remote patient monitoring of conditions is captured on a mobile device, and how it is transferred to and from a clinicians' practice for incorporation into a physician's practice workflow.

"The AMA is working to unleash a new era of patient care through its Integrated Health Model Initiative (IHMI) by pioneering a common data model for organizing and sharing meaningful health data like patient goal, state, and functioning, and assembling an unprecedented collaborative effort across health care and technology stakeholders," AMA President David O. Barbe, said in a statement on Monday.

The Challenge requires the development of a supporting patient-physician interaction model that optimizes physician time and patient outcomes.

Health Apps in iPhone Might Underestimate Physical Activity of Users
Accelerometers used in the smartphone app were found to underestimate the number of steps a person walks in a day.

The solutions should include how to import or transfer patient-generated data from a mobile device or a mobile application into one or more phases of the physician or payer health data management cycles.

The winner will be selected to share $25,000 in credits for Google Cloud, followed by the $15,000 and $10,000 for the second and third prize, respectively. All Qualified Entries receive $3,000 in Google Cloud credits.