US-based digital health company Xealth has introduced Dewey, a performance-based, digital health benchmarking tool.

Dewey is a new interactive database of deployed use cases categories and includes associated engagement metrics.

The tool empowers Xealth’s clients to monitor and visualise the progress of their digital health initiatives and compare them against industry peers.

The digital health company has over seven years of experience and has distributed more than 20 million assets and programmes to more than five million patients.

Xealth has industry knowledge of performance of these digital health assets and interventions for similar patient groups in similar scenarios.

Xealth CEO Mike McSherry said: “Digital health programmes address an incredibly wide variety of conditions, making baselines difficult to establish.

“For instance, it’s unrealistic to expect a patient with a chronic disease, such as kidney disease, to have the same level of engagement as a patient experiencing a specific episode of care, such as an expecting mother.

“With Dewey, Xealth can leverage metrics from across health systems, providing useful benchmarks for similar use cases that Xealth customers have contributed to creating.”

Xealth’s platform empowers customers to use comparative data to optimise their digital health programmes to either meet or exceed benchmarks established by Dewey.

The clients can make informed decisions by tracking how many patients open emails or SMS messages, click on links, and complete actions related to specific use cases within their health system.

The individuals can compare average open rates, click-through rates, and activation rates of similar use cases across other health systems.

Additionally, they can compare the use case against others within categories such as preventative care, chronic disease management, or surgery preparation.

Xealth customers can also monitor the performance of use cases across different service lines like cardiology, oncology, or nephrology.

Furthermore, it can help in comparisons between different use case performance in the same system.

Customers will have access to real-time charts that visually track the progress of each category.

As more data is gathered, the scaling digital health firm plans to launch additional sub-categories, like diabetes management, hypertension management, and cancer screening.

Furthermore, the platform will incorporate artificial intelligence (AI) capabilities to target recommendations specifically tailored to individuals and populations, enhancing the precision and effectiveness of interventions.