Evidence and Evaluation

The creation of evidence through research and evaluation is integral to governments understanding best practice approaches to delivering health and related services and supporting policy development. Healthcare providers should be supported to evaluate services and/or conduct and participate in research which builds evidence to guide improvements, quantify benefits for patients, clinicians and health systems, and test new models of care.

The proposed work stream activity within this theme was focused upon sharing methods, insights and examples of digital health evaluation frameworks, concrete examples of lessons learnt from existing digital health benefits evaluations and strategies for rapid knowledge sharing across participant countries.


Draft work stream deliverables include:

  • Identifying and documenting different methodological approaches and frameworks, including economic modelling, for evaluating the benefits of digital health services
  • Mapping future-focused novel developments in methods and approaches to data analysis from digital health services, such as machine learning and natural language processing

The creation of evidence through research and evaluation is integral to governments understanding best practice approaches to delivering health and related services and supporting policy development. Healthcare providers should be supported to evaluate services and/or conduct and participate in research which builds evidence to guide improvements, quantify benefits for patients, clinicians and health systems, and test new models of care.

The proposed work stream activity within this theme was focused upon sharing methods, insights and examples of digital health evaluation frameworks, concrete examples of lessons learnt from existing digital health benefits evaluations and strategies for rapid knowledge sharing across participant countries.


Draft work stream deliverables include:

  • Identifying and documenting different methodological approaches and frameworks, including economic modelling, for evaluating the benefits of digital health services
  • Mapping future-focused novel developments in methods and approaches to data analysis from digital health services, such as machine learning and natural language processing