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Tech

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!

 

 

 

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Tech

Originated in Germany, Industry 4.0 translates as “a holistic automation, business information, and manufacturing execution architecture to improve industry with the integration of all aspects of production and commerce across company boundaries for greater efficiency”, according to Automation ISA.

From this starting point, the source article delves into the history of Industry 4.0 initiative. The Industry 4.0 initiative is part of a 10-point high-tech German strategic plan, created in 2006 and continued in 2010 by introducing the High-Tech Strategy 2020. Science and industry need to cooperate, in order to turn knowledge into skills.

Creating networks that incorporate the entire manufacturing process and convert factories into smart environments involves linkages. Linkages such as “smart machines, warehousing systems, and production facilities that feature end-to-end integration, including inbound logistic, production, marketing, outbound logistics, and service”.

Real-time data, a key element in the Industry 4.0 chain of operations

Real-time information enables strong decisions, based on insights. When it comes to production, it enables a superior reactivity and responsiveness in what production chain materials and operations are concerned.

Also, Industry 4.0 is based on asynchronous manufacturing.  This requires that the components in the production flow are able to use “auto identification technology to inform each machine and operator what needs to be done to produce the customized end product at each step of the production process.”

Based on real-time field data, the machines can be rapidly configured so they would adapt to customer specifications and other commands inherent to the production operations.

The collected data also serves as prime material for a range of analytics. These provide a bonus post real-time advantage to those in charge. By analyzing the data, such systems provide recommendations on improving performance and productivity.

Using embedded intelligence at all levels, the advanced cyber-physical systems (CPS) save “significant cost, providing greater flexibility and improved reliability.”

What binds together this new, developing industrial landscape is a series of software solutions that allow for the data to be collected and processed. Furthermore, the insights become recommendations. The decisions then turn into commands that go back into the cycle, driving modified, optimized operations.

 

Standards emerge, as well as a worldwide agenda

With separate, but similar Industry 4.0 agendas in countries such as Germany, China, Japan and/or others, a sum of specific standards emerge. These standards require harmonization, if they are going to work seamlessly at a global level, regardless of the physical area where the industrial processes involved take place.

Future automation systems must adopt open source multivendor interoperability software application and communication standards similar to those that exist for computers, the Internet, and cell phones. Industry 4.0 demonstrations acknowledge this by leveraging existing standards, including the ISA-88 batch standards, ISA95 enterprise-control systems integration standards, OPC UA, IEC 6-1131-3, and PLCopen.

Process automation is at the core of this plan. It becomes more and more present with each industry entity that joins this trend. The Industry 4.0 vision of the future factory joins together advanced technology hardware and brilliant software solutions, for a flawless functionality.

We are getting there with each software solution. Producers can unload more and more of their operations onto the digital, be it monitoring operations, management, coordination or others.

Call us for software solutions partnerships – we build the software you need for going one step further into the Industry 4.0!

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