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We evaluate the results of new policies, such as mandatory nurse-to-patient ratios. The most rigorous evaluations are conducted prospectively, collecting baseline data before implementation for a true comparison of impact.

Operating from short to long-term, high-integrity program support lines for city or state initiatives, be they about compliance, healthcare, public health, equity, or other goals (e.g., enrollment hotlines, compliance inquiry desks).

Our analysis focuses on the complete picture, measuring key outcomes for all stakeholders to determine if a policy achieved its desired results two years after implementation.

For AI models in healthcare, we provide validation and monitoring to ensure performance is Fair, Appropriate, Valid, Effective, and Safe (FAVES). This assurance is critical for responsible AI adoption.

Utilizing established trust within diverse local communities to recruit and retain participants for clinical trials, focusing on niche patient populations often overlooked by larger national recruiters.

We move beyond traditional metrics. Instead of just accuracy, we evaluate sentiment analysis systems on their ultimate, task-based effect on business goals like brand reputation.

Conducting in-depth interviews (IDIs) and focus groups with San Francisco-based specialists, researchers, and public health experts to gather insights on emerging treatments and policy acceptance.

Designing and executing rigorous, complex quantitative surveys (often utilizing their in-house CATI system) with local population quotas to ensure demographic accuracy.