Living HTA: Automating Health Economic Evaluation with R.

ABSTRACT: Background: Requiring access to sensitive data can be a significant obstacle for the development of health models in the Health Economics & Outcomes Research (HEOR) setting. We demonstrate how health economic evaluation can be conducted with minimal transfer of data between parties, while automating reporting as new information becomes available. Methods: We developed an automated analysis and reporting pipeline for health economic modelling and made the source code openly available on a GitHub repository. The pipeline consists of three parts: An economic model is constructed by the consultant using pseudo data. On the data-owner side, an application programming interface (API) is hosted on a server. This API hosts all sensitive data, so that data does not have to be p

SUBMITTER: Smith RA 

PROVIDER: S-EPMC9593025 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature