News

DiRVa seeks evidence of health outcomes and created value

The project aims to construct a general evaluation model for healthcare digital solutions providers to serve as a tool for building evidence of and communicating the value of their innovations.

Digitaalisten Ratkaisujen Vaikuttavuus DiRVa

DiRVa 2017- Evidence of health outcomes and created value (outcomes per dollar spent) is a prerequisite for successful business operation in the field of healthcare digital solutions. The project aims to construct a general evaluation model for healthcare digital solutions providers to serve as a tool for building evidence of and communicating the value of their innovations.

DiRVa project brings together a multidisciplinary and internationally networked research collaboration committed to building evidence for value in healthcare: Aalto University’s HEMA-institute (Healthcare Engineering and Management) together with the most innovative players in the field of healthcare digital solutions in Finland (Duodecim, Klinik, Netmedi, HUS, NewIcon, Affecto, Lääketietokeskus and TeliaSonera).
 

For more information [email protected]
 

Finnish summary & material

  • Published:
  • Updated:
Share
URL copied!

Read more news

Professor Jens Schmidt opening the first Aalto Alumni Strategy Circle. Audience in the front.
Research & Art Published:

Aalto Alumni Strategy Circle shared best practices in mergers and acquisitions

The Aalto Alumni Strategy Circle brings together strategy professionals and business leaders to learn and exchange ideas about the most relevant current topics in strategy.
Food Futures, ATARCA
Cooperation, Press releases, Research & Art Published:

Learning by doing: Solving the Tragedy of the Commons one Meal at a time

Food Futures, part of ATARCA, Aalto University, in collaboration with Global Politics and Communication, University of Helsinki, present the video Learning by Doing: Solving the Tragedy of the Commons one Meal at a time.
Anne Sunikka Dipolissa tietokoneen ääressä.
Research & Art Published:

Quality together – University supports open access in science and research

Support, training and information available for researchers on open science practices
A solar panel with blue sky and a graphic showing perovskite material
Research & Art Published:

Machine learning boosts the discovery of new perovskite solar cell materials

Researchers from CEST group apply machine learning to help identifying suitable solar cell materials