Data management

The data management project produces data content for public health and social service providers in accordance with the health and social services information model.

What is data management?

Data management means creating the prerequisites for data-based decision-making. Data-driven leadership, in turn, means decision-making based on analysed, up-to-date and available data.

An obstacle to data-driven leadership is the disunity of the thousands of differing information systems used by health and social services across Finland. Information is not transferred from one system to another, and different decision-making stages must make use of information that is sourced from differing systems and inconsistent.

In order for data-driven leadership to be possible, we need

– development of data management (availability, accessibility, usability and quality)
– development of data flow control
– new data structures and models that ensure better access to information on the costs of health and social services, for example.

The objective is that all stakeholders, including

– public services organisers (such as municipalities and federations of municipalities)
– service providers
– national-level bodies (such as THL), and
– the state in its managerial role

have access to consistent and up-to-date data.

Goal of the data management project

The SoteDigi data management project aims to implement a shared solution package for public health and social services organisers to support their decision-making in organising services.

The goal of the health and social services reform is to control the increasing cost of services and to ensure equal access to all residents in Finland. Public organisers, in particular, can benefit from data management solutions in achieving these goals.

Output of the data management project

The project will produce

– a data model for the organisation of health and social services
– necessary system integrations
– data storage solutions
– necessary analytics and reporting tools
– shared reports and overviews for the needs of data-driven leadership.

Benefits

The shared data management model will
– saves in development costs
– enables the comprehensive development of data management
– improves accessibility and usability of data

Phases

COMPLETED IN 2018:
Groundwork on the organisation data model
Project plan
Current state and needs assessments by region

ONGOING IN 2019:
Testing related to Act 159/2017 on the secondary use of health and social data