It is a fact that in all healthcare sectors miniature wireless devices will replace big monitoring machines. Tracking patient vital signs is just one part of the equation. These sensors detect and collect relevant data – and they need to transmit it further. Storing, interpreting and analyzing the data come to close the full circle.
Dramatic advances in technology have made these miniature wireless devices possible. Advances in software development allow them to have a “voice”. Only with custom tailored, leading edge software the sensors are able to report a status, to predict outcomes, to trigger notifications and alerts based on the data.
As a recent National Geographic issue puts it, “the innovation will allow more extensive monitoring and earlier intervention, potentially saving lives – and billions of dollars”.
Wearable sensors are not new, but they are recent – and their full capacity comes hand in hand with perfecting how they work and convey relevant data. For example, nowadays we have soft, biocompatible sensors, ready to accumulate information with the minimum discomfort for the user in the process.
Modern preventive healthcare is a field of maximum focus
Research previously showed how losses – both human, and financial, incur due to delayed information, imprecise stats and diverse errors and confusion points. Reducing the incidence of such factors is highly welcome.
The same source provides a series of examples when it comes to wearable sensors. One of them is a pulse oximeter for prematurely born babies, which measures blood oxygen levels. Other one is ECG and seismo-cardiograph, acting as a digital stethoscope. (Both are credited to the team of engineers at North-western University).
Any such healthcare device needs an operating software. As well, it needs an associated application that would convey the data to the specialists in an easy accessible manner. Not that the operating software is something to be approached lightly or cheaply.
Faultless functioning and airtight cyber security are two of the main standards when working with this type of devices. All healthcare related technologies need approval, and in this complicated process the two above-mentioned characteristics are key.
Healthcare also welcomes and needs the right data analytics and Machine Learning tools
Aiming above individual monitoring, prevention or treatment, a different range of healthcare technologies handles the collected data. By gaining a unique perspective after having computed in huge amounts of data on a chosen subject, the right software can deliver astounding insights.
Again, it depends on the project team to make the declared goals become true. From the project owner to the most humble of the developers, working as a dedicated team provides a guarantee for the successful outcome.
As software engineers, being part of a venture like this feels exhilarating. Through all the hard work and hours spent turning actionable instructions into code, beams that feeling of enabling progress.
True, when the result of one’s work is an instrument someone else will use in its activity, sometimes it is hard to describe why it’s nevertheless spectacular. But it is. Knowing that the outcome of our efforts will work flawlessly and further serve in advancing other technologies or even fuel breakthroughs feels good.
At LASTING Software, we are experienced in the implementation of analytical algorithms and engines for statistical analysis. Our work became the base of one of the world leading, FDA-approved solution. 93% of the world’s pharmaceutical companies employ it.
Contact us and find out how our software engineers can bring to reality the best software solutions in your projects!