Ken Getz, MBA

Spotlight on poor compliance, access, and usefulness of trial results summaries.

Study findings elevate the need to optimize protocol amendment experience.

Amid CVS’ surprise exit from the clinical research space and the ensuing broader questions, study investigates the benefits of pharmacy chain involvement—along with the concerns and barriers to adoption.

Pilot study seeks to validate new and more granular outsourcing model classifications in differentiating performance across custom contract-service approaches.

Investigating more objectively measured 'structural' characteristics.

Tufts CSDD survey finds fostering healthy relationships with site staff is key to a positive outlook.

Self-determined eligibility and the influence of clinical care challenge this flawed figure.

Phesi and Tufts CSDD share results from research on operating practices that can be improved.

Differentiating FSO and FSP approaches can better align definitions of models for CROs and sponsors.

The struggle to translate promising movements in R&D.

Looking beyond regulatory compliance.

Tufts CSDD study in collaboration with ten biopharmaceutical organizations and CROs examines sponsor/CRO relationships.

Characterizing the long-term adoption experience of clinical technologies and capabilities—and what senior leaders can do to drive adoption within their walls.

Insights from studies on advisory boards and participation burden.

A summary of how organizations approached remote operating models and the experiences and effectiveness of clinical research professionals in their roles and responsibilities during the COVID-19 pandemic.

Affirming and advancing patient engagement and digital transformation.

The drug development sector is embracing technologies and digital methods that were previously not as widely used due to the COVID-19 global health crisis.

2020 Tufts CSDD – IBM Watson Health benchmarking study highlights need for new functionality from EDC solutions and providers.

With an increasing amount of diverse data that must now be collected and analyzed, the industry is faced with increasingly complex studies that present new challenges in data management.

Findings from a Tufts study examining the effects of COVID-19 on clinical trials.

Study offers clues for installing rapid R&D tactics post-pandemic.

AI presents rare opportunity to assess the scope of this longtime challenge.

Diversity in clinical trials is an important part of developing new medications that are safe and effective for all potential patients, understanding the demographic disparities within them will provide several benefits to the field.

Study holds new benchmarks and improvement opportunities.

Higher screen failure and patient dropout rates are raising the imperative to pilot and implement new study conduct models in trial recruitment and retention.

Interest in benchmark data on the scope, performance, and economics of rare disease drug development efforts has grown.

Global experts collaborate to form the Addressing Lupus Pillars for Health Advancement (ALPHA) Project in order to combat challenges in lupus drug development.

New study reveals that inconsistent, tactical, and reactive outsourcing practices predominate.

Amid industry feedback that the growing volume and diversity of eClinical data collected for studies is taxing cycle times, two studies highlight the need to optimize protocol design and executional complexity to overcome these data management burdens.

Study examines the growing integration of real-world data and evidence and the remaining roadblocks to adoption.