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Four ways the new normal enables innovation

When our everyday life changes, so does our need for services and solutions. Here are a few examples on how new functionalities and solutions recently made their ways into society.

31 August 2020

As citizens and professionals, we evaluate what we need to be able to adapt to a normal where health and security are largely in focus, and the need for a new kind of support often raises.

For a lot of customers and partners, this changes their ways of working, challenging us as a provider when putting together the perfect solutions for their and the end user’s demands. Here are some examples on how the new normal has enabled innovation and created a whole lot of new solutions – at fast speed.


The Covid-19 pandemic has accelerated user-driven development

“When the corona pandemic struck, we quickly identified the needs of users, customers, and wider society alongside our own planning work”, says Sanna Kallankari, Area Product Owner for Healthcare Processes, Consulting and Training at TietoEVRY.

Together with our customers, we are building a world-class patient information system. At its fastest, it took about a week for us to identify the need and release the solution.

“We redirected product development resources to corona-related issues, focused on the development of ideas, and accelerated the decision-making process”, Sanna explains.

To make it easier for our customers to use and take advantage of the system quickly and effectively, she and her team worked on creating a series of instructions alongside a swift release of new functionalities and products.

“This includes Covid-19 diagnosis, isolation and quarantine forms, SMS services, and video appointments”, Sanna elaborates.

Read Sanna's blog to find out more


AI model can detect COVID-19 on x-rays

Our AI team have, with the help of Machine Learning, analyzed multiple lung x-rays, and identified patterns on the radiographs of COVID-19 positive patients, which are different from those with healthy lungs or pneumonia.

Now that the AI model has learned to identify these patterns, it only takes seconds to validate if a lung radiograph shows signs of COVID-19.

This is still only a test project, and we are currently in dialogue with health providers to find future use-areas.

Read more about the COVID-19 cooperation with the healthcare sector


A platform to cover bridge loans

For the past months, the pandemic has taken its toll on a lot of businesses and economies.

Small and medium companies have been hit hard by the corona crisis, with many losing their entire turnover. Almi was already a customer at TietoEVRY and used our loan platform to handle credit applications and administration.

This platform could now be extended to cover the bridge loans including new requirements for decisions and documentation as well as conditions such as interest and deferral of amortization.

“After receiving the capital injection from the government, TietoEVRY quickly put in place a loan product based on our requirements. We have also been able to access loan analytics, which is very important for us to be able to measure the effects of the loan. Through the bridge loan, Almi can now quickly review the customer's critical liquidity needs and help with financing during these uncertain times”, says Kristian Hasslöf, National Credit Manager at Almi.

Learn more about the customer story


An integration that boosts the quality of healthcare

Since 2014, the Norwegian town of Lillehammer has used automated medicine-dispensing robots as part of an effort to ensure home care residents receive the right medicine at the right time.

Now, the robots have been integrated with the Norwegian Gerica medical records system delivered by TietoEVRY. The integration boosts automation and frees up the time of nurses to focus on other important clinical tasks.

“We need to make everyday life easier for our staff. They should focus on their professional field and the patients – so the technology needs to be as easy as possible to use. This new way of dispensing medicines also minimizes the risk of medication errors,” says Bjørn Lie, digitalization coordinator in the municipality of Lillehammer, who has been central to the integration project between Evondos and TietoEVRY.

Lillehammer has had 26 medication robots from Evondos in use during the project period. In mid-June, approximately 70 new medication robots were rolled out.

“About half of those working in home care have help with administering medicines. If they can save some time from having a simpler system, it will also mean that the home service will have more time for the patients,” says Lie.

Read more about the robots

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