Guides, Tools, and Methods

DigiHealth Hub produces practical guides, tools, and methods to boost innovation and empower researchers, companies, service providers, and other developers to find solutions to challenges related to health data utilization and assessing digital healthcare services.

Do you have a need for health data, AI, or assessment related information? Check what we already have, or contact us for additional information.



Digi-HTA Criteria Tool

Digi-HTA is a criteria tool for assessing digital healthcare services' (eg. mobile apps, AI solutions, and robotics) suitability for use in healthcare. It covers key elements of healthcare services, such as effectiveness, costs, usability, and safety. Based on the criteria, experts conducting health technology assessments (HTA) can give recommendations on how suitable different products are for use in healthcare. The recommendations support health policy and clinical decision making. The product developers and manufacturers can use the criteria also for self-assessment and in product development.

In addition to Digi-HTA Framework, Digi-HTA utilizes two requirement documents that are developed in Kyber-Terveys –project as data security and protection assessment criteria.

The Digi-HTA tool is available on request.

Want to use the Digi-HTA tool, or need support with the Digi-HTA criteria or process?
Contact DigiHealth Hub's Digi-HTA specialist Jari Haverinen.

  Download About Digi-HTA presentation material:   English   |   Finnish


Digi-HTA is developed in collaboration with The Finnish Coordination Centre for Health Technology Assessment (FinCCHTA). It coordinates Health Technology Assessment (HTA) in Finland, cooperates with international HTA bodies, as well as develops HTA methodological training and strengthen its related research.

Health Data Guide

This guide is designed to provide practical information on healthcare data and analytics for researchers and companies alike. Focus is in the context of machine learning and artificial intelligence, which require effective handling of big data from multiple data sources.

In this guide, you will learn

  • what kind of health datasets are available and how to get the data
  • principles of legislation for using the data (GDPR and national laws in Finland)
  • what kind of consents are needed from the patient
  • special properties of electronic patient records
  • what is augmented/synthetic data
  • how to preprocess the data to get the maximum knowledge of it
  • recommendations for anonymization techniques
  • basics of machine learning for health data
  • secure data management
  • some current ethical concerns of health data handling
  • innovative examples of using health/wellness data from the research community and business

The terms of health data acquisition from the national registries are changing in the near future, as the new law, Act on Secondary Use of Health and Social data was approved in May 2019. This guide describes the present situation concerning health data, as well as opens up the rules after the new law has been fully enforced.

The text is complemented with web links to relevant articles, data sources and EU guidelines for those who want more information on these topics. Feel free to give feedback for improving this guide!

This Guide is made for informative purposes only. The Guide should not be used for legal guidance or should not be considered as legal advice or as an interpretation of any existing legislation.