Do you remember the days when cell phones were brand new? I am not referring to the Nokia 3310 (back when all we needed was a single game, Snake – simpler times . . .). I am talking about when they were first launched and introduced. Those were the days when cell phones were only purchased by business people and you could only make calls near a transmitter tower (oh how mobile!). They used to come with big cases, but these were not for the phone itself; their real purpose was to hold the phone’s huge battery! Despite that, the purpose of original cell phones was clear—to make phone calls on the move. Well, so long as you were going past at least one transmitter tower on the way . . .
Fast-forward to today—the cell phone we once knew has completely changed, and along with it, we see a transformation in how people see and use their phones. What used to be their original purpose (making phone calls) has now been virtually replaced by activities such as Internet browsing, checking social networks, shopping, listening to music, and playing games (you can still download Snake, but it’s no longer pre-installed!).
It would probably be more fitting to call them powerful mini-computers; the average smartphone today is millions of times more powerful than all of NASA’s combined computing power in 1969. Smartphones today are even powerful enough to run old Windows operating systems such as Windows 95. Good to know for all those old-operating-system enthusiasts who want a bit of nostalgia on the go.
The evolution of cell phones eventually led to a revolution in the market. The pace at which technology was developing eventually led to the creation of the first iPhone—the rest is history!
So how does the evolution and revolution in cell phones relate to data-capture technology? Just as the first cell phones had only one purpose—talking—data capture nowadays means simply sharing or collecting information. While 1990s-era electronic data capture focused almost exclusively on big data associated with clinical trials such as EDC and electronic patient reported outcomes (ePRO), it was eventually adapted for private medical practice. Over the years, the opportunities afforded by electronic data capture have grown, partly because of healthcare costs.
However, although these first digital data-capture systems offered some relief to physicians and other users, they were still time-consuming and cumbersome, creating more productivity issues than they solved. What was meant to save time actually had the opposite effect; while the new systems were being introduced, they actually resulted in physicians seeing fewer patients.
Back then, these solutions were designed for primary-care physicians. Specialists, who needed to maintain smaller sets of data, found that these first digital systems did not take their specific needs into account. What specialists required was a solution that would allow them to see many patients without sacrificing data quality and regulatory compliance. Fortunately, there were a few vendors who had the insight to rise up to the challenge and help to solve these specialty-specific problems.
To find out more about the evolution of data capture and how EHR solutions are becoming revolutionary—like smartphones—read our recent whitepaper on this topic.
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