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Analytics & Quality


Current online patient portals do not present test information in an easily understandable context for the majority of patients, according to a study published in the Journal of the American Medical Informatics Association.

Researchers from the University of North Carolina at Chapel Hill have published a study in Preventive Medicine that examined social media as an effective route in generating awareness about skin cancer.

Massachusetts General Hospital (MGH) researchers have found patients admitted to the hospital are less likely to be readmitted in 30 days if they report higher levels of satisfaction in care and communication with providers, according to a study published in BMJ Quality & Safety.

Utilizing normothermic machine perfusion technology could increase the number of available donor kidneys, according to a study published in the British Journal of Surgery.

Researchers from Stanford University have developed an algorithm capable of predicting patients’ three to 12-month mortality rate, according to a study published in arXiv.


Recent Headlines

ivWatch receives innovative technology contract from Vizient

ivWatch, providers of continuous monitoring devices, has been awarded the Innovative Technology contract from the healthcare performance improvement provider Vizient.

Algorithm predicts cartilage degeneration leading to osteoarthritis

Researchers from the University of Eastern Finland have developed a cartilage degenerative algorithm capable of predicting the progression of osteoarthritis in patients. The findings were published in Scientific Reports.

VR games reduce stress, anxiety in pediatric patients

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.

AI detects melanoma in earliest stages

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.

What attendees want from vendors at AHIMA 17

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.

Harvard Health, Outcome Health partner with aim to improve digital care

Harvard Health Publications (HHP) and Outcome Health have joined forces to bring Harvard Medical School (HMS)’s insight to 40,000 waiting and exam rooms through Outcome Health’s digital platform.

Innovations for the improvement of patient identification

Maintaining accurate patient records is key to providing high quality care without errors, yet many of the electronic records stored by healthcare organizations cannot be transferred from one hospital to another. A study published in the Journal of AHIMA examined innovations to improving real-time patient identification and record matching to ensure accurate records.

Frequent messaging improves diabetes management

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.

Noninvasive eye scan detects Alzheimer's through plaque in retina

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.

Machine learning algorithm outperforms tests in diagnosing early Alzheimer's

Diagnosing Alzheimer’s in its early stages is key to providing patients with proper delaying or preventive drugs. A new study, published in Scientific Reports, explains how a machine learning algorithm could be used to predict the onset of the disease.