Artificial Intelligence identified individuals in need of support.
Director, Data-Driven Businesses
City of Espoo needed develop customer-centric services that take into consideration the customers’ needs and problems. Data regarding one person is stored in information systems of different sectors and services, which do not share information. This prevent seeing customers as a whole.Watch case video
The experiment combined the social, healthcare and early education client relationship data of the entire population of Espoo for the years 2002–2016. By analysing this data mass, we found new preventive methods for targeting services to municipality citizens, for example to prevent social exclusion.Tieto Intelligent Wellbeing
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Artificial intelligence helped the City of Espoo to discover customer-centric service paths
Identifying individuals in need of support with AI
Anonymous data ensured information security for individuals
The experiment aimed at finding out whether customer groups in need of service can be identified earlier than before using artificial intelligence, so that individual information security remains intact – and at the same time, Espoo also wanted to gain an understanding of which factors influence municipality citizens’ wellbeing and service use.
One of the most important results of the project was confirmation that artificial intelligence could be used in planning social and healthcare services and in predicting individual wellbeing. During the project, for example, a risk forecasting model was developed which can predict child welfare client relationships up to five years ahead. Artificial intelligence found approximately 280 factors that anticipated a child welfare client relationship. None of these factors alone is a risk, but the simultaneous occurrence of several factors can be a risk.
The experiment also enabled, for the first time, the review of customer paths by family, as the city’s data systems are usually individual-oriented.
“The starting point for the project was to test if AI can help to target preventive services to individuals at the right time so that the city can support individual wellbeing.
Tieto and the City of Espoo jointly handled a huge data mass that consisted of client relationship data of the entire population of Espoo for the years 2002–2016 and covered approximately 520,000 people and more than 37 million customer contacts. All data processing included extreme measures to ensure information security. Personal data, such as names, identity numbers and addresses were concealed already during data collection. Encryption was used for all data transmission.
We first brought all Espoo’s social and healthcare data into a data lake, where we could combine it so that we saw the customers and their service use as a whole.
Our experiment demonstrated that artificial intelligence and the utilisation of data could have a significant role in health care. With support from AI and data analytics, new service paths can be developed. Social and healthcare service professionals can also utilise AI in their daily work to support decision making.
In addition to benefitting individuals, artificial intelligence also benefits city employees and the City of Espoo – and also society, as we as a city can offer our data to various research institutes.
Project Manager, Data Analyst Consultant, City of Espoo