Electronic health in the United States

Pavel Prikhodko, Ph.D. Machine Learning

Electronic health (or simply e-health) can be defined as a range of healthcare-related digital services and devices. These types of services can be used for prevention, diagnosis, treatment and personal health monitoring.

Let’s take a look at the results of a recent survey (as of March 2017) regarding American adults’ awareness of the e-health field. Approximately 10 percent of respondents in the 18-29 age group had some knowledge about e-health. Knowledge about e-health was slightly higher among the 20-45 age group than others (13 percent). Around 9 percent of those surveyed in the 46-60 age group replied, “Yes, I know what e-health is.” The lowest percent of e-health awareness was found among people aged 61 years and older.

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If we look at the chart showing the results of another survey in which American health care workers were asked about their awareness of e-health, we see that only 24 percent were familiar with the e-health term. Around 35 percent had heard of e-health but were unsure of the exact nature of the subject. The largest share (41 percent) stated that they had no knowledge of e-health whatsoever.

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You may ask, “What types of mobile medical applications do people use in the U.S.?” There are many categories of e-health and medical applications. According to a survey on Americans’ use of medical applications, about 49 percent used apps to monitor environmental conditions (e.g. weather/rain/pollen forecast) at least once. Nearly 45 percent of respondents used apps to track fitness, while 42 percent used apps for diet and nutrition tracking at least once. Around 35 percent of respondents stated that they used apps for self-diagnosis.

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About Pavel Prikhodko

Pavel Prikhodko, Ph.D. Machine Learning

Pavel has worked for many years as a researcher and developer on a wide range of applications (varying from mechanics and manufacturing to social data, finance and advertising), building predictive systems and trying to find stories that data can tell.

In his free time, he enjoys being with his family.

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