Preventative medicine has been proven to improve overall health of patients while also reducing the cost of care, but many factors avert the possibilities of prevention. In a study published in Academic Emergency Medicine, researchers evaluated the correlation between health literacy and preventable emergency department (ED) visits that resulted in admission.

The opioid epidemic continues to impact millions of Americans, but researchers have developed a new method to genetically identify patients more at risk of developing an opioid addiction. Findings are published in Annals of Clinical & Laboratory Science.

Virtual reality (VR) technology has replaced anesthesia for pediatric patients at Lucile Packard Children's Hospital Stanford, who have implemented distraction medicine to reduce pain and anxiety.

Researchers from the University of Waterloo and the Sunnybrook Research Institute in Toronto have developed machine learning software capable of detecting melanoma skin cancer. This early detection method aims to provide tools necessary to catch and treat skin cancer in its early and most treatable stages.

An expanded vendor hall is one of the draws for repeat attendees at this year’s American Health Information Management Association (AHIMA) conference, being held in Los Angeles from Oct. 7-11. Attendees are expecting to find “anything that makes their job easier,” according to group’s vice president of health information management (HIM) practice excellence, Lou Ann Wiedemann, MS.

Communication between patients and providers through secure patient portals offers an extension of care. A study published in Diabetes Care showed patients with diabetes using secure messaging for medical advice have improved levels of management.

A noninvasive eye scan, developed by neuroscience investigators at Cedars-Sinai Medical Center in Los Angeles, detects Alzheimer’s disease years before symptoms arise by analyzing the amyloid-beta deposits in the retina. The study, published in JCI Insight, outlined how the scan improves current detection methods with high accuracy.

Tweeting could one day be used by public health officials to predict the spread of influenza in populations. Research, published in EPJ Data Science, conducted at the U.S. Department of Energy's Pacific Northwest National Laboratory, outlined how future public health workers could utilize social media to identify trends of influenza or other health issues.

A study published in Liver Transplantation examined a common tool used in everyday evaluations and its efficiency in predicting patients in need of additional support after a liver transplant.

A recent NRC Health "2016 U.S. Healthcare Consumer Insights" report examined online ratings and reviews on hospital websites from patients.

Researchers at IBM and the University of Alberta have developed artificial intelligence (AI) algorithms capable of predicting schizophrenia with 74 percent accuracy.

Technology has become integral to providing high quality care, yet many healthcare organizations struggle with utilizing their technology in the most effective way. A recent list created by SCI Solutions, providers of patient care management technology, featured 10 checkpoints of success to help organizations improve care.