Development and use of innovative, medical technology in hospitals both in Denmark and abroad has increased and expectations for innovation projects, such as telemedicine, drones, apps and healthcare IT, are often very high. But an interview study showed that only one in ten innovation projects goes into operation and delivers value in terms of clinical effect, patient experience, financial value, etc.
The chance of success can be increased if hospital managements (and funds or companies) critically assess the technology and its expected value at an early stage in the development process. In this way, the hospital can focus on those initiatives that are most likely to achieve the expected gains and make a positive difference when implemented in daily operation. The hope is that early assessment will lead to better outcome of the resources spent on innovation for the benefit of both hospitals, patients and society.
To enable robust early assessments, the PhD project developed the model EARTH (Early Realistic assessment of innovative medical Technologies in Hospitals) to assess the expected value of innovative medical technology at an early stage. Value should be interpreted broadly and includes the expected future effect on patient experience, clinical, financial, technical and organisational aspects.
The research project examined how early assessment of innovative technologies takes place – primarily in the private healthcare industry. A qualitative study of early assessment used in the health sector was conducted as well as a literature review. The knowledge obtained formed the basis for the development of the model EARTH. EARTH is being tested for the first time on the Health Drones project.
EARTH has a total of six steps and central to this is an ongoing assessment, which analyses whether:
- the development of selected KPI (key performance indicators) is positive
- the risk level is reduced during the early development of innovative technology
- evidence and documentation of the expected effects is strengthened over time.
Start: August 2014
End: September 2017
The project was carried out in collaboration with Theta Collaborative, including Professor Murray Krahn, who is head of THETA. The supervising team was Head of Research Kristian Kidholm, Senior Researcher Knud Bonnet Yderstræde and Professor Kjeld Møller Pedersen (main supervisor).