Healthcare Apps and Artificial Intelligence
Healthcare Apps and Artificial Intelligence
The hype will soon accelerate, and AI, mobile devices, and apps will become increasingly interdependent as AI powers more health-related mobile devices and apps
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Bias comes in a variety of forms, all of them potentially damaging to the efficacy of your ML algorithm. Read how Alegion's Chief Data Scientist discusses the source of most headlines about AI failures here.
There's plenty of evidence that mobility offers tremendous benefits to patients, doctors, and the healthcare industry, as outlined in VDC's report, The Global Market for Health Care Mobility. The report concludes:
"Healthcare mobility offers significant benefits to health care providers as mobile solutions allow them to supply caregivers with a wealth of information while removing existing informational borders. Mobility applications have broad potential in terms of their functionality, including telemetry, e-prescribing, and patient monitoring."
It's clear that the combination of mobile healthcare apps and artificial intelligence is the future of healthcare.
Artificial intelligence offers broad benefits to healthcare, as well, according to a recent detailed report by JASON, an independent US government advisory panel composed of science and technology experts. The report, Artificial Intelligence for Health and Health Care, concludes:
"AI is beginning to play a growing role in transformative changes now underway in both health and health care, in and out of the clinical setting."
The report is clear-eyed about the hype that has accompanied AI in the past. But it says that this time, the hype about the benefits of AI for healthcare is justified. The main reason? It can be paired with mobile applications and mobility in general. Two important reasons it says AI will make a difference are the "ubiquity of networked smart devices in our society" and "acclimation to convenience and at-home services like those provided through Amazon and others."
The report goes into great detail about how the marriage of mobile and AI will transform health and healthcare. It notes that:
"Revolutionary changes in health and health care are already beginning in the use of smart devices to monitor individual health. Many of these developments are taking place outside of traditional diagnostic and clinical settings." Specifically, it found that "Smartphones and other smart technologies are already a primary platform for the adoption of health and wellness through mHealth (mobile or digital health) apps and networked devices."
Mobile apps and devices that people use to monitor their health are useful for a number of reasons, it says. They "empower individuals to monitor and understand their own health," as well as "create large corpuses of data that can, in theory, be used for AI applications," and also "capture health data that can be shared with clinicians and researchers."
The report says the hype will soon accelerate, and AI, mobile devices, and apps will become increasingly interdependent as AI powers more health-related mobile devices and apps and as the devices "create massive datasets that, in theory, could open new possibilities in the development of AI-based health and health care tools."
This melding of AI and mobility for healthcare comes on the heels of the healthcare market turning to mobile apps big time. A survey by Red Hat, for example, found that 82% of healthcare organizations have fully implemented their mobile strategy, with 78% reporting they are achieving a positive return on investment from their mobile apps. For details, see my blog post Rapid Mobile App Development For Healthcare, or read how hospitals, insurers, and doctor offices are powering better patient care, increasing revenues, and using doctor time more efficiently with mobile apps.
Healthcare faces unique challenges in building mobile apps — notably, the security and privacy requirements of HIPAA (Health Insurance Portability and Accountability Act of 1996). Rapid Mobile App Development (RMAD) platforms will make it easier to build apps that integrate with AI.
Published at DZone with permission of Amy Groden-Morrison , DZone MVB. See the original article here.
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