Developing a standardized framework for evaluating health apps using natural language processing.

ABSTRACT: Despite regulatory efforts, many smartphone health applications remain unregulated, raising concerns about privacy, security, and evidence-based effectiveness. The lack of standardized regulation has led to the proliferation of over 130 frameworks, introducing new criteria and methodologies for app evaluation. The sheer number of frameworks, coupled with their varying approaches to app evaluation, create challenges for comparison. Our study aims to synthesize existing knowledge and propose a standardized app evaluation framework. We conducted a synthesis of reviews on health app evaluation frameworks. Using natural language processing (NLP), we analyzed evaluation domains and grouped them into clusters based on semantic similarities. Standardized definitions for these clusters were develop

SUBMITTER: Herpertz J 

PROVIDER: S-EPMC11973176 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature