While checklists are often a vital tool for medical procedures, there has so far been little guidance on how they should be designed and applied in real medical scenarios. Now, a team including Dr. Alex Chaparro, a researcher at Embry-Riddle Aeronautical University, has developed an algorithm which can help medical experts to decide when a checklist is the best-suited tool for the task at hand; and if so, which type of checklist should be applied, based on the user’s technical experience. The approach could ultimately help complex, potentially urgent medical procedures to become safer and more efficient.

Research from Professor Mamta Jain at UT Southwestern Medical Center and her colleagues reveals how electronic alerts, patient navigation, and mailed outreach can significantly increase hepatitis C screening and treatment in traditionally difficult-to-reach populations. Their work demonstrates that while electronic reminders are effective, combining multiple approaches with adequate clinical staffing and resources leads to the greatest improvements in patient care across all stages of the hepatitis C care continuum.

We can imagine our health as a jigsaw, with each individual piece representing a different aspect of our medical history. These pieces might include blood test results, X-ray images or the notes taken by a doctor as we describe our symptoms. These jigsaw pieces are ultimately recorded and stored in electronic health records (or EHRs). EHRs are a valuable resource, providing an overview of someone’s health and they could have the potential to allow clinicians and researchers to unlock new medical insights. However, there’s a fly in the ointment – not all the pieces in such records always fit together correctly, and they may not completely capture the required information. Some clinical event documentation may not be complete, others do not align with related pieces, and some events are even missing entirely. This data quality problem was tackled by Dr. Hanieh Razzaghi of the Children’s Hospital of Philadelphia, and her colleagues, in their innovative work on the PRESERVE study, a research project exploring chronic kidney disease in children (the PRESERVE study itself was led by Drs. Michelle Denburg and Christopher Forrest). Using EHRs from 15 different hospitals across the United States, the team aimed to understand how various treatments could potentially slow down chronic kidney disease progression. However, initially, they had to make sure that the data they were relying on were accurate, reliable, and suitable for the required complex analyses.