CENTRAL LABORATORIES WHITE PAPERS & ARTICLES

• The "Five Es" Of Operationalizing AI In Clinical Data Management

  The “Five Es” framework—Essential, Efficient, Enjoyable, Explainable, and Ethical—offers a comprehensive strategy for operationalizing AI in clinical data management while safeguarding privacy.

• Overcoming Complex Patient Recruitment Challenges With Data

  Overcome roadblocks to recruiting patients for rare disease clinical trials with RWD and RWE, including lack of diagnosis and stringent I/E criteria, geographic dispersion, and high dropout rates.

• How Digitized Protocols Are Accelerating Clinical Research

  Digitized protocols, enhanced by artificial intelligence (AI), are transforming clinical trial operations by accelerating document generation, system integration, and trial optimization.

• Exploring Payer Coverage Of Anti-Obesity Medications

  Understanding payer strategies for anti-obesity drugs is crucial. A recent study investigated commercial formulary trends, confirming cost as a major barrier despite positive patient outcomes.

• Exploring Value-Based Contracting In Rare Diseases

  How are payers using value-based contracts for costly rare disease therapies? Exploratory research sheds light on negotiation frequency, preferred contract types, and internal data management trends.