The impact and effectiveness of clinical trial data sharing initiatives may differ depending on the data sharing model used. We characterized outcomes associated with models previously used by the U.S ...

Application developers and solution partners often need to process healthcare data outside of the electronic medical record (EMR) system. EMRs are primarily designed to directly support individual ...

The process of analyzing data also produces data in the form of results. In other words, project outcomes themselves are a data source for future research: aggregated summaries, descriptive statistics ...

INDIANAPOLIS -- A team including Regenstrief Institute and Indiana University research scientists has published an in-depth case study on the Indiana Network for Patient Care (INPC), revealing how ...

Prognostic Impact of Prostate-Specific Antigen at 6 Months After Radiotherapy in Localized Prostate Cancer: An Individual Patient Data Analysis of Randomized Trials National estimates of cancer ...

Milovan Suvakov, Ph.D. Describe the structure, purpose and types of large medical data repositories available to researchers. Analyze available data types and differentiate between the levels of data ...

In a landmark continuing collaboration, Answer ALS and Cedars-Sinai have announced the completed availability of the largest amyotrophic lateral sclerosis (ALS) patient-based induced pluripotent stem ...

I am not a big fan of electronic health records (EHRs), at least as they are presently designed. They are more billing platforms than clinical data repositories, easily accessible to clinicians.

Data repositories are digital storage spaces that enable researchers and academics to deposit datasets and make them more discoverable, reusable, and accessible. Many journals and publishers require ...

A research team at Flinders University will start building what could be the first integrated and AI-driven public health and clinical data repository in Australia for public health surveillance and ...