The overarching framework of translation and integration into healthcare: a case for the LAL model

Recently, there has been a substantial increase in relevant genome-based technologies into market. Compared with its utilization in healthcare systems, we notice a huge gap. In order to address this bottleneck, we previously developed the Learning-Adapting-Leveling (LAL) model.

In this article, we aim to demonstrate the overarching reach of the model for translation to market and implementation into healthcare systems moving towards personalized healthcare.

We use qualitative logical reasoning with the LAL model as a reference.

We found that technology transfer, health needs assessment, health technology assessment and health impact assessment are justified for their inclusion. In addition, the public health wheel is justified as a good reference frame along with value of information.

We conclude that as the LAL model covers all dimensions and tools for translation and implementation in a defined method; it can therefore be considered as the overarching framework for translation and implementation into healthcare.