
Understanding how a clinical trial is progressing and performing is critical to making informed decisions. Being able to make these decisions in a timely manner can determine the success of your trial operations. Whether it’s enabling you to “fail fast”, or to hit a milestone on schedule, saving time means saving money.
Many organizations have resources aggregating and reconciling data from disparate systems in order to run a report showing trial progress based on these data. This process can take days and sometimes weeks, and as a result yields information that is old and therefore inaccurate.
With Dataflow Manager, viewing this information is a click away. It automates the integration and reconciliation of operational information across source systems, and delivers a holistic view of trial progress.
In an industry where trial costs regularly run into hundreds of thousands of dollars per week, having the intelligence you need in minutes instead of days can provide significant cost savings that multiply across a clinical development enterprise.
With this in-stream visibility, Dataflow Manager adds a layer of sophisticated analytics to measure trial performance against expectation, benchmark metrics, and predict future trial performance based on trends in data collection and site performance.
These capabilities enable study teams to operate using the same information, accessible in one place. Issues such as poorly performing sites or missing subject data are easily identified in Dataflow Manger, enabling study teams to proactively address bottlenecks and progress the trial on schedule.
Our customers have reported achieving database lock on the date Dataflow Manager predicted a year in advance. This exhibits the “power of knowing” where the study is today, and being able to quickly identify what must be done next to ensure trial timelines and milestones are met.
Organizations don’t just purchase technology. They invest in it. As such, many find themselves customizing and extending their eClinical technologies to deliver more and more capabilities. This can produce diminished returns when looking to achieve capabilities that a system was not designed to provide. For instance, EDC applications are perfect for getting data in. It’s getting the data intelligence out that can be a challenge.
Dataflow Manager is technology agnostic and interoperable with any eClinical technology. It provides an operational interface on top of any technology landscape, regardless of whether its outsourced, or implemented in-house. Dataflow Manager enables these systems to do what they do best, and delivers the elusive data intelligence they hold in a normalized and scalable way.
Whether acting as an in-stream “filter” to ensure only quality data reaches a data repository, or providing a global view across trials and technologies, Dataflow Manager can decrease the resources required to manage your technology landscape and optimize the ROI of your investments in technology.
Whether using Dataflow Manager to automate data cleaning workflows, optimize IT processes, or simply gain visibility, our customers report impressive results when comparing processes before, and after Dataflow Manager.
“Each DM provides a compliance report that takes about an hour per week to pull together. It has relevant dates, actual vs. expected numbers of patients and pages/forms, queries, coding and SAE reconciliation, progress/status, and core lab data. Across the 35 trials this organization was running, these added up to an annual cost of $168,000. In addition, IT staff is responsible for managing exports from [EDC Product] for internal reporting. This task came to an annual cost of $129,600.
With these manual operations fully automated (less the minute it takes to open Dataflow Manager), there was a cost savings of $297,600 per year.
“In the current CDM environment it takes several hours prep time to run reports, execute checks and compile results for cleaning/review, and to review and clean all data for a single subject
With 2 cleaning/review cycles for any study, the cost of preparing a single study for lock would take over 2000 hours, and cost approximately $182,790.”
“With Dataflow Manager, the preparation of subjects for review was fully automated, eliminating the manual preparation process completely. The key benefits associated with the use of Dataflow Manager are increased productivity and reduced LPLV to DBL cycle time. We see productivity gains as directly proportional to the size and complexity of the study.
Dataflow Manager automated an expensive manual process. When multiplying these ratios across many studies, the savings quickly reach into the millions.