
Generative AI adoption and compliance
Collaborated with a Security Consultant at AWS to publish guidance on generative AI adoption and compliance
Research article in a healthcare/clinical research peer-reviewed journal, "Clinical Researcher (ACRP)"
The article explores frequent challenges that research sites confront while setting up key performance indicators (KPIs) to track the success of their clinical research program.
Worried about what metrics to track, sites either attempt to measure all research activities or spend considerable time and resources in pursuit of a magical number of metrics. The authors propose best practices for clearly defining objectives and related KPIs. The proposed approach includes a variety of factors that have considerable impact on the success of a study, such as those associated with activation time and accrual. Aligning KPIs to well-defined strategic objectives, the paper concludes, empowers organizations to evaluate processes and outcomes of clinical research more accurately and efficiently.
New regulations and scrutiny have resulted in an increased demand for approaches and solutions that improve efficiency without compromising quality. Key performance indicators (KPIs) that bridge the gap between strategies and results are integral to ensuring efficiency.
A holistic KPI portfolio, involving composite and interconnected metrics, helps in leveraging measurements and monitoring ongoing processes for improving multiple facets of a clinical research program, including administrative, financial, clinical, and others.
Read the full article here.
References
Priti Sahai and Rashmi Sahni. Strategies for Defining Key Performance Indicators in Research. Clinical Researcher (ACRP), Aug 2016.