How the Common Rule 2018 Updates Can Affect Your Research and Quality Improvement Strategies

As you well know, Common Rule is the federal policy for the protection of human test subjects. Published in 1991, it has been updated and amended along the way, including the most recent revision—aka the Final Rule—which goes into effect on July 19, 2018. Changes have been made and agreed upon between sixteen different federal departments and agencies, spearheaded by the U.S, Department of Health and Human Services.

Three simple ways to refresh your data management practices

Three simple ways to refresh your data management practices Since we're all about saving time,  we already did the hard work for you by creating the list below of three (reasonable) data management goals to tackle. These goals are sure [...]

Leveraging Research Data to Enhance Quality Improvement Initiatives

Does quality improvement really matter and do we need to convince you that it’s important to advancing state-of-the-art healthcare? This is the debate that has been raging amongst us recently and, after much thought and discussion, we came to the conclusion that it does matter, but that we don’t need to convince you…. Everyone working in healthcare today already understands why quality improvement is important and that it will have an vital impact on state-of-the-art healthcare.

Our Top 5 Rules for Stress-Free NDAR Data Submission

Our Top 5 Rules for Stress-Free NDAR Data Submission After many years of experience submitting to NDAR, Prometheus has learned a thing or two. With that knowledge, we’ve put together a list of tips for approaching your NDAR data submission. [...]

2018-07-25T15:39:06+00:00Jan 2017|Data Sharing in Clinical Research|

Record Matching: Facilitating Rich Data Sets When Merging Clinical Database

Record Matching: Facilitating Rich Data Sets When Merging Clinical Database. The digitization of health records is making the aggregation of EHRs, prescription claims information, and other clinical data easier than ever before. But before analyzing clinical data collected from different databases, researchers need to first determine where the databases overlap.

NLP: Tapping Into EHR Text Fields

NLP: Tapping Into EHR Text Fields Electronic health records (EHRs) are digitizing valuable medical data on a massive scale. However, up to 70% of meaningful information for medical registries, outcomes researchers, and clinicians is held within practitioner notes. These free [...]

The Pitfalls of Spreadsheet Data Management

The Pitfalls of Spreadsheet Data Management Spreadsheet software is almost as ubiquitous as the personal computer itself. Even in rigorous research contexts, programs like Microsoft Excel offer an environment for ad hoc analyses, back-of-the-envelope calculations, dashboard prototyping, and more. But [...]

EHRs for Clinical Outcomes Research: How to Maintain Researcher Productivity

Prometheus Research can help researchers truly leverage the power of EHR data through software toolkits, clinical informatics expertise, and proven experience transforming raw data into research-grade information.

How to Reshape Long-Format Excel Data into Wide-Format SPSS Data

How to Reshape Long-Format Excel Data into Wide-Format SPSS Data As a provider of integrated data management services, we often answer a wide variety of questions relating to data manipulation. One of the most common questions that we encounter is [...]

Data Sharing in Clinical Research

Data Sharing in Clinical Research Suppose you and I are clinical researchers who both work in the Boston area. We want to collaborate on a project together. We’re interested in finding genetic markers of treatment response and non-response among patients [...]