title: IMPROVING THE EFFECTIVENESS AND EFFICIENCY OF EVIDENCE PRODUCTION FOR HEALTH TECHNOLOGY ASSESSMENT.
abstract: OBJECTIVE
  Health Technology Assessment (HTA) needs to address the challenges posed by high cost, effective technologies, expedited regulatory approaches, and the opportunities provided by collaborative real-world evaluation of technologies. The Health Technology Assessment International (HTAi) Policy Forum met to consider these issues and the implications for evidence production to inform HTA. This paper shares their discussion to stimulate further debate.
  
  
  METHODS
  A background paper, presentations, group discussions, and stakeholder role play at the 2015 HTAi Policy Forum meeting informed this paper.
  
  
  RESULTS
  HTA has an important role to play in helping improve evidence production and ensuring that the health service is ready to adopt effective technologies. It needs to move from simply informing health system decisions to also working actively to align stakeholder expectations about realistic evidence requirements. Processes to support dialogue over the health technology life cycle need to be developed that are mindful of limited resources, operate across jurisdictions and learn from past processes. Collaborations between health technology developers and health systems in different countries should be encouraged to develop evidence that will inform decision making. New analytical techniques emerging for real-world data should be harnessed to support modeling for HTA.
  
  
  CONCLUSIONS
  A paradigm shift (to "Health Innovation System 2.0") is suggested where HTA adopts a more central, proactive role to support alignment within and amongst stakeholders over the whole life cycle of the technology. This could help ensure that evidence production is better aligned with patient and health system needs and so is more effective and efficient.
authors.affiliation: Evidence Based Health Policy Consultant.
authors.forename: Karen
authors.initials: K
authors.lastname: Facey
authors.affiliation: Health Economic Research Group,Brunel University London.
authors.forename: Chris
authors.initials: C
authors.lastname: Henshall
authors.affiliation: HTA Unit,Hospital Clinic Barcelona.
authors.forename: Laura
authors.initials: L
authors.lastname: Sampietro-Colom
authors.affiliation: University of Southampton,Wessex Institutes.thomas@southampton.ac.uk.
authors.forename: Sarah
authors.initials: S
authors.lastname: Thomas
mesh_terms: D003657:Decision Making; D058996:Quality Improvement; D013673:Technology Assessment, Biomedical / Q000592:standards*
keywords: Decision making; Evidence-based health care; Healthcare systems; Organizational innovation; Technology assessment