CHOP Researchers Develop Tool that Reduces Errors in Stem Cell Transplant Reporting

Researchers at Children’s Hospital of Philadelphia (CHOP) have developed a custom-built application to automate determination of engraftment, a key outcome after hematopoietic stem cell transplant (HSCT). The application supersedes a tedious manual process and at the same time substantially improves accuracy of reported hematopoietic cell transplant engraftments.

Machine Learning-Triggered Reminders Improve End-of-Life Care for Patients with Cancer

Electronic nudges delivered to health care clinicians based on a machine learning algorithm that predicts mortality risk quadrupled rates of conversations with patients about their end-of-life care preferences, according to the long-term results of a randomized clinical trial published by Penn Medicine investigators in JAMA Oncology today.

Global health researchers use human movement patterns to determine risk of malaria spreading during certain times of day

In a paper recently published in Malaria Journal, global health researchers, Daniel Parker, PhD, assistant professor, and Guiyun Yan, PhD, professor, both from the UCI Program in Public Health, analyzed the movement ecology of humans in two places of heightened importance for Ethiopia’s malaria control and elimination strategies: Gambella and Benishangul-Gumuz (on the international border with Sudan and South Sudan).

Power Supply: Understanding Unstable Grids

A sustainable energy supply requires the expansion of power grids. However, new transmission lines can also lead to grids becoming more unstable rather than more stable, as would be expected. This phenomenon is referred to as the Braess paradox. For the first time, an international team, including researchers from the Karlsruhe Institute of Technology (KIT), has now simulated this phenomenon in detail for power grids, demonstrated it on a larger scale, and developed a prediction tool, which is to support grid operators in decision-making. The researchers report in the journal Nature Communications. (DOI: 10.1038/s41467-022-32917-6)

Beyond Zoom: Virtual reality classrooms

Cristina Lopes, UCI Chancellor’s Professor of informatics, sits in a courtyard waiting as her students slowly trickle into class. In front of them is a series of large objects: the topic of today’s lecture. Lopes reaches out and touches a yellow cylinder floating in front of her, and the object is instantly replaced with a complex line of code.

NAU leading NSF grant that looks at the potential for drones in responding to forest fires

The grant, led by SICCS professors Fatemeh Afghah and Abolfazi Razi and Regents’ professor Peter Fulé, will give firefighters a better situational awareness about the fire environment; provide up-to-date information on where the fire is; and help fire responders form reliable predictions about the fire activity.

Informatics Approach Helps Reveal Risk Factors for Pressure Injuries

Researchers used informatics to examine 5,000+ patient records and five years of data related to nursing skin assessments and hospital-acquired pressure injuries. The results underscore the importance of treating and monitoring irritated skin early and eliminating the cause as an important step to prevent pressure injuries.

Patient Monitoring Systems for Sepsis – Mixed Results on Patient Outcomes

Automated patient monitoring systems (PMSs) have been designed to reduce delays in diagnosis of sepsis in hospitalized patients. But so far, studies evaluating these systems have shown inconsistent effects on mortality rates and other patient outcomes, according to an evidence review in a special September supplement to the Journal of Patient Safety, which was funded by the Agency for Healthcare Research and Quality (AHRQ). The journal is published in the Lippincott portfolio by Wolters Kluwer.

Researchers @UCSDMedSchool found that using electronic-based consent forms (eConsents) decreased error rates from 32% to 1%, helping to decrease delays to surgery.

In a recent study published in JAMA Surgery, researchers at University of California San Diego School of Medicine found that using electronic-based consent forms (eConsents) decreased the error rate from 32 percent to 1 percent. “You are not relying on…