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Agile AI solution is speeding up research and making treatment more efficient and patient centric than before

- Mikael von und zu Fraunberg, Director at Neurocenter Finland

Matti Ristimäki

Vice President, Data-Driven Businesses

The challenge

One of the challenges in brain tumour research has been data collection from medical records. Traditional manual data collection is time consuming and potentially error-prone. A brain tumour research team at Tampere University Hospital, one of the pilot projects of Neurocenter Finland, needed a solution to automate the collection of patient data from medical records to speed up research and make brain disease treatment more efficient and patient-centric.

The solution

Tieto provided an AI solution that uses natural language processing to recognize phrases and words from medical records it has been taught. The tool then structures the gathered data according to set labels and transfers it to a data lake – where researchers can access it in real time.

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About the customer

The mission of Neurocenter Finland is to serve as a national collaborative network for neuroscience. The network aims to unify neurological research conducted in Finland.  Find out more: www.neurocenterfinland.fi/en

with an AI solution that makes accessing research data faster and more automated

Enhancing brain tumour research

with an AI solution that makes accessing research data faster and more automated

by offering health care professionals easier access to results and tools for more efficient research

Significant impact on treatment pathways

by offering health care professionals easier access to results and tools for more efficient research

through faster access to research information and better use of data in patient treatment

Better treatment for patients

through faster access to research information and better use of data in patient treatment

Neurocenter Finland - agile AI solution

AI-based solutions are becoming essential for health care

Finland has plenty of expertise in research on brain tumours and other neurological disorders. However, the collaboration between researchers could be more efficient, as it has been challenging to gather sufficiently large amounts of research material within a small population. Neurocenter Finland strives to solve this problem by bringing researchers together and facilitating larger national research projects. 

Until now, another problem in conducting research has been that the needed information is often embedded in medical reports that cannot be used in analytics without first extracting the relevant information from free-text into a structured format. Manual data structuring is time consuming, and therefore, Neurocenter Finland identified the clear need for an automated data structuring and analytics process.

Better and faster results through modern data tools

Approximately 800 brain tumours are diagnosed in Finland annually. Significant impacts on treatment pathways of patients can be achieved when health care professionals have better access to results and tools for more efficient research. To achieve this goal, Neurocenter Finland partnered with Tieto to develop an AI solution for extracting patient data automatically from medical records. One key reason for this partnership was the strong experience Tieto has with the information systems of the Health Care District of Helsinki and Uusimaa (HUS) and in building data lakes for its needs.

Tieto’s team of data scientists created an AI solution that uses natural language processing. The tool recognizes phrases and words from medical records based on what it has been taught. It then structures the gathered data according to set labels. Finally, the data is transferred to a data lake, where researchers can access it in real time.

This speeds up research and makes treatment more efficient and patient-centric. 

We want to enhance brain tumour research at several Finnish university hospitals by making access to research data faster and more automated

Mikael von und zu Fraunberg

Director, Neurocenter Finland

Towards improved and personalized patient care

The developed AI solution aims to make a major impact on the efficiency of brain tumour research. By shifting away from manual data collection, research results are available faster, thus improving research quality. This method also gradually brings research and patient care closer together, as treatment and medication plans can be made more personal – resulting in improved quality of treatment. 

AI-based solutions are becoming a very significant part of health care. Health care organizations are moving towards using centralized data repositories that integrate multimodal patient data and AI solutions like the one developed in this project. This enables organizations to utilize data assets by better structuring patient data to use it more efficiently in research and care.

We are very happy with the outcomes and the agile and effective AI solution. Everyone involved in this project has made this a great experience. Each sector – from hospitals and health care districts all the way to research directors and businesses – has been participating with such a positive can-do attitude.

Mikael von und zu Fraunberg

Director, Neurocenter Finland

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