IoE

Does digital hold the answers for healthcare?

Tacis Gavoyannis presented a session entitled ‘Moving beyond connectivity to fully capitalize on the advent of IoE’ at our Internet of Everything InFocus event, October 17-18. In this blog he discusses how digitalization can transform healthcare.

Large costs related to age-old practices such as x-rays, transport and queuing at hospitals are giving way to methods of dealing with patients more quickly, efficiently and accurately. With the powers of data science and medical science combined, the future of healthcare is looking a lot more digital. Following are some examples of how this will positively affect three of the key stakeholders in healthcare: the doctor, the patient and the hospital overall.

The doctor

Data can help with an injury, such as a fracture, for example, by using a sensor that works with a fixator (a stabilizing muscle) to collect data on the movement and pressure of the fracture. This technology is constantly monitoring and assessing the key parameters for the healing process.

Using data science allows the doctor to quickly scan all patient loads to see how they are performing so that he or she can concentrate on any problems that occur. This means the doctor can concentrate resources to focus on the few requiring more attention. The surgeon can make well-informed suggestions from the available data and feel connected to the healing process from start to end.

The patient

Using the same example, the improved efficiency in treatment would mean the patient can be up and running after a fracture more quickly. They would also have access to the same portal as the surgeon, although with different access levels and simpler information dashboards to suit them.

The portal, through an app, would allow the patient to explore their healing profile and see for themselves how they are performing against the normal benchmark. In the event their healing is likely to take more time, the patient has the opportunity to question this, and establish any corrective actions with their doctor. Some of these actions may simply be giving up smoking or making dietary alterations.

The hospital

Better use of hospital resources would mean reductions in unnecessary visits and x-rays, and less clogging of parking spaces and patient queues in already stretched hospital facilities

Predictive analytics and artificial intelligence will certainly enable the road to digital health to be a more informed and actionable journey.

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About The Author

Head of Smart Cities and IoT - A.T. Kearney

Tacis Gavoyannis has more than 30 years of marketing and international business development experience in the telecoms and datacoms sectors, having worked in a range of senior management roles. He has also founded companies in leisure and tech. He is engaged in strategic consultancy and business transformation within Siemens on smart communities and smart cities solutions. At A.T. Kearney, he is responsible for innovation partnerships and projects across EMEA and supporting the smart city activities globally.

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