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Mastering Online Therapy: Insights from Epidemiological Software Standards

Mastering Online Therapy: Insights from Epidemiological Software Standards

Introduction

In the realm of online therapy services, particularly for children, ensuring the reliability and accuracy of the tools we use is paramount. The recent research article, "Software Engineering Standards for Epidemiological Models," sheds light on the importance of software standards in creating reliable epidemiological models. This blog will explore how these insights can be applied to improve online therapy services, ensuring better outcomes for children.

The Role of Software Standards in Epidemiology

The research by Horner and Symons (2020) emphasizes the need for transparency, explainability, and reproducibility in epidemiological simulators. These standards are crucial in ensuring that the software used in public health policy-making is trustworthy. The study uses the Imperial College London COVID-19 simulator as a case study, highlighting the need for rigorous software engineering practices.

Applying These Standards to Online Therapy

While the research focuses on epidemiological models, the principles can be translated into the field of online therapy. Here are some ways practitioners can apply these standards:

Encouraging Further Research

Practitioners in the field of online therapy should not only implement these standards but also contribute to further research. By collaborating with software engineers and researchers, therapists can help develop tools that are not only effective but also adhere to the highest standards of reliability and accuracy.

Conclusion

Incorporating software engineering standards from epidemiological models into online therapy can significantly enhance the quality and effectiveness of therapy services. By focusing on transparency, explainability, and reproducibility, practitioners can ensure that they provide the best possible outcomes for children. For those interested in delving deeper into the research, you can read the original paper, Software engineering standards for epidemiological models.


Citation: Horner, J. K., & Symons, J. F. (2020). Software engineering standards for epidemiological models. History and Philosophy of the Life Sciences, 42(4), 54. https://doi.org/10.1007/s40656-020-00347-6
Marnee Brick, President, TinyEYE Therapy Services

Author's Note: Marnee Brick, TinyEYE President, and her team collaborate to create our blogs. They share their insights and expertise in the field of Speech-Language Pathology, Online Therapy Services and Academic Research.

Connect with Marnee on LinkedIn to stay updated on the latest in Speech-Language Pathology and Online Therapy Services.

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