Moving from siloed data collection to a unified platform allows for operational acceleration across functional teams. By embracing AI & advanced analytics, we can support the understanding of historical data, improve study design as well as patient selection, reach and retention.

PHASTAR's approach to Digital Health

There is currently no widely adopted definition of digital health today. At PHASTAR we take a broad view and refer to digital health as the "use of technology in healthcare" as it encompasses the of use computing platforms, connectivity, software, artificial intelligence, machine learning and sensors for health care and related uses.

Read our blog to discover more.

Blog: AutoCRF: A tool to create a mock eCRF screen from excel data specifications

Case report forms (CRFs) are critical in clinical trials as they capture vital data related to patient safety, treatment efficacy, and overall trial outcomes. Good CRF design is essential to ensure the accuracy and completion of CRFs during the data collection process, warranting the validity and reliability of trial results and leading to the approval of new treatments and medicines.

Read the blog post here.

External resource: Top considerations for Decentralised Clinical Trials (DCT) in data management

The ACDM's eDigital Data Management Expert Group (DMEG) recently released the paper titled “Top 15 Considerations for Decentralised Clinical Trials (DCTs).”

Among the co-authors includes PHASTAR's Director of Data Science, Dr Jennifer Bradford. 

You can read more about the eDigital data management expert group and access their publications here.