Automatic Data Sourcing for Health Economic Models – Interoperable data for timely decision-making

This article is inspired by the exciting idea interoperability in health economics modelling process, which means sourcing (fetching) inputs for  models in real-time, using modern software infrastructure capabilities. On a larger scale, development of naming conventions for health economic model inputs would be required, so this is also a call for action for researchers working in the health economics modelling domain.

Interoperability – the ability of computer systems or software to exchange and make use of information.

Most of the modellers and consultants working in the field of Health Technology Assessment (HTA) and economic evaluations of healthcare technologies are familiar with the labour intensive process of manual updateing/localisation of a cost-effectiveness or a budget impact model. In particular, the treatment effect data needs to be validated and approved by multiple parties before it is published and used as a model input to project future health and cost outcomes beyond the lifespan of a clinical study.

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Health Economics and Outcomes Research (HEOR)

HEOR is a field of Economic Evaluations of Healthcare Technologies

Health Economics and Outcomes Research (HEOR) is an area of economic analyses that deals with the studies and mathematical models (simulations) based on available clinical, epidemiological, economic data and published evidence to inform rational and evidence based decision making. HEOR deals with allocation of funds for healthcare purchasing,  evaluations of the value for money of healthcare technologies, drugs and medical devices in order to inform budgeting and change in clinical practice decisions. Healthcare payers (government, insurance companies, hospitals) operating under constrained budgets are always seeking to maximise the output (value, health, procedures) subject to limited financial resources and other constraints (technical, time, legal, management changes).

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