Best Data Practices for Accelerating Medical Review

Sponsored by: Comprehend Systems

Focused on:

  • Data
  • Best Practice
  • Medical Review

Date: 8 December


Time: 4PM London/11AM New York/8AM San Francisco

Recently, a sponsor’s Chief Medical Monitor remarked to me that it requires six different logins for them to pull together a coherent view of patients in their studies. Unfortunately, this is only the tip of the iceberg.

With the rise of clinical trial outsourcing and proliferation of data sources, it takes data management even longer to aggregate, clean, and validate data so it provides a useful picture of each study. Once this data is aggregated, it is often outdated. Even when it is accurate, it can be tough to sift through it to find specific sites or metrics that require additional attention from the medical team. When the team finally identifies patients that require additional investigation, the medical team typically runs into this six-logins problem. And once this patient data is compiled, it is often tough to create visualizations that help the medical team perform clinical assessment.

This problem is widespread. Over 85% of medical and data teams recently identified disparate data in multiple systems as the most significant barrier to medical review and clinical assessment.

How can we improve this medical review process?

During this webinar, clinical experts Ken Wu and Matt McKinney will discuss best data practices and how, when used in combination with a new class of cloud software called Clinical Intelligence, this intuitive approach can accelerate medical review. They’ll focus this conversation on three data principles followed by leading teams:

1. Automate data aggregation
2. Standardize and monitor critical metrics
3. Visualize patient issues with graphical profiles

Register today to join this important discussion.

Presented by

Matt McKinney,

Clinical Intelligence Expert

Matt is a Clinical Intelligence Expert at Comprehend Systems. In this role, Matt works with customers and prospects to uncover their particular business and data problems and identify the most high-impact, data-driven solutions.

Matt draws on his deep eClinical industry experience and passion for bringing safe and effective treatments to patients to design these customer-specific solutions.

Prior to Comprehend, Matt spent seven years with Medidata Solutions as a Senior Business Consultant, and has spent over a dozen years producing results for leading life sciences companies.

Ken Wu,

Executive Clinical Operations Consultant

As an executive consultant, Ken advises senior members of leading global pharmaceutical companies, biotechnology startups, medical device companies, and CROs. In these consultations, he draws on expertise from over 20 years spent optimizing clinical operations to keep trials on time and within budget.

Ken specializes in clinical process optimization with LEAN Six Sigma, clinical operations standards and best practices, advanced trial analytics, and clinical operational forecasting.

Ken has Bachelor of Arts degrees in Physiology and Psychology, a Masters of Science in Physiology, and a Masters of Business Administration with a focus in operations. Within life sciences, his roles have ranged from Clinical Research Associate to Head of Clinical Operations at startups (e.g., Pharmacyclics, BioEnterics/Allergan, Salutar-Nycomed) and global device and pharmaceutical companies (e.g., Guidant, St. Jude Medical, Syntex Pharmaceuticals and Scios, a Johnson and Johnson Company).

Key Learning Objectives

  • Best data practices to overcome the disparate data problem
  • Three intuitive steps to implement these best practices
  • Results from industry peers who adopted this approach


  • Positioning for Clinical Science
  • Positioning for Data Management