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Technological innovation in healthcare- overview

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Technological innovation in healthcare- overview
The reach of technological innovation and its usage continues to grow, changing all industries as it evolves. In healthcare, technology is increasingly playing a role in almost all spheres, from patient registration to data analyzing, from lab tests to self-care and decision making tools.
Devices such as smartphones and tablets and newer health applications are starting to replace conventional ways of gathering and recording health data. These technological advancements in healthcare have contributed to services being taken out of the confines of hospital walls and integrating them with easy to use accessible devices which will help physicians in monitoring vital signs, getting medical information of the patients health and providing remote consultation. Mobile health has really taken off in the U.S. in recent years. There are around 40,000 health applications available and more than 247 million people have downloaded these application which further enlightens its future prospect.
Technology must play a central role for proposed health care reform to contain costs, improve access, and save lives. A smart, universal electronic medical record system is certainly a big part of this package, especially after the HITECH ACT, 2009 that promotes the use a certified EHR, demonstrate and prove its meaningful use to receive reimbursement by clinicians and hospitals under Medicare and Medicaid. Although Ambulatory EHR adoption rate is around 79 percent and Inpatient (hospital) EHR adoption rate is around 90 percent, the EHR’s still have to reach their maximum utilization and benefits especially in smaller urban and rural hospitals.
According to consultants McKinsey & Company, there is a lot of data being gathered, potentially $300 billion to $450 billion a year, which is driving well-established companies like Apple, Qualcomm, and IBM to invest in technologies from data-capturing smartphone apps to billion-dollar analytical systems. How data analysis is already

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