The Analytical Validation Library is a one-stop-shop for digital health product developers, researchers, clinicians, regulators, payers, and patients to access peer-reviewed manuscripts reporting the performance of best-in-class analytical validation studies as defined by DATAcc by DiMe’s V3 Framework.
Analytical validation is defined as the process by which the performance of an algorithm converting DHT sensor-level data to physiological or behavioral outcomes is assessed against an appropriate reference standard amongst a study sample representative of the complete population of interest.” (Sharma et al., 2023).
Access the Analytical Validation Library to discover ‘what good looks like’ in terms of high-quality analytical validation to implement these best practices when validating measures of digital health products.
