Tag: technology
A Pilot Study of Eye-Tracking Devices in ICU
Eye-tracking devices have been suggested as a means of improving communication and psychosocial status among patients in the intensive care unit (ICU). This study was undertaken to explore the psychosocial impact and communication... read more
Creating a “Manageable Cockpit” for Clinicians
For many clinicians, the work of health care has become undoable. The "cockpit" where physicians and other health professionals work now consists of a cacophony of warning alerts, pop-up messages, mandatory tick boxes, a... read more
How Mayo Clinic Is Combating Information Overload in Critical Care Units
Health care teams depend on electronic health records (EHRs) to compile important medical data from innumerable lab tests and medical devices, observations, treatments, and diagnostic codes. We rely on it so much that we... read more
Virtual Reality to Improve Cognitive Alterations in ICU
More than 30 percent of patients who survive an episode of critical illness presents brain alterations that go beyond those of the disease that has led to the admission to intensive care (ICU). As a result of this cerebral... read more
Tomorrow’s ICU
Johns Hopkins clinicians and engineers are creating a model for a safer, less costly and more productive clinical unit that can be adopted anywhere. With clinicians spending less time on documenting and gathering supplies,... read more
The hospital of tomorrow in 10 points
Technology has advanced rapidly in recent years and is continuing to do so, with associated changes in multiple areas, including hospital structure and function. Here we describe in 10 points our vision of some of the ways... read more
Saving Lives in the ICU Through Artificial Intelligence
Hospitals today run according to evidence-based medicine. That makes for smart science. But for critical care, it can be a problem. A patient may appear normal, but if you had a sign that, in two to three hours, that patient... read more
Cardiac Output Monitoring: Throw it Out… or Keep it?
In critical care units, the shelf for cardiac output (CO) monitoring devices fills up with ever more innovative systems. Are these techniques useful, or are they expensive and irrelevant gadgets? There are arguments to defend... read more
Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
We develop an algorithm that can detect pneumonia from chest X-rays at a level exceeding practicing radiologists. Our algorithm, CheXNet, is a 121-layer convolutional neural network trained on ChestX-ray14, currently the... read more
Solutions to Alleviate Burnout
A range of factors drives clinician burnout, including workload, time pressure, clerical burden, and professional isolation. Clerical burden, especially documentation of care and order entry, is a major driver of clinician... read more
Disruptive Technology or Standard of Care?
The study and practice of medicine is constantly changing. Hospitals and specialty societies develop protocols and standards of care based on what is thought to be the best evidence and science at the time. Over the years,... read more
AI Can Predict Sepsis to Save Lives
Emory University researchers have created a "Sepsis Expert" algorithm that works in real time to predict the onset of sepsis, the deadly condition that often takes hold in healthcare settings. Banking on information from... read more
Prospective Evaluation of a Multifaceted Intervention to Improve Outcomes in Intensive Care
Studies comprehensively assessing interventions to improve team communication and to engage patients and care partners in ICUs are lacking. This study examines the effectiveness of a patient-centered care and engagement program... read more
Enabling Machine Learning in Critical Care
Critical care units are home to some of the most sophisticated patient technology within hospitals. In parallel, the field of machine learning is advancing rapidly and increasingly touching our lives. To facilitate the adoption... read more
Value of Social Media in Advancing Surgical Research
Some say surgical research is an oxymoron, maybe because they do not know how much surgeons long for high-quality clinical investigation when they have to make decisions on how to treat their patients. Unfortunately, hard... read more
Machine Learning Model Predicts Sepsis in ICU Patients 12 Hours Before Diagnosis
A machine learning model accurately predicted the onset of sepsis in ICU patients four to 12 hours prior to clinical recognition in a recent study. The observational cohort study used data from more than 31,000 admissions... read more
A Digital Revolution in Health Care is Speeding Up
Telemedicine, predictive diagnostics, wearable sensors and a host of new apps will transform how people manage their health. In the longer term, the biggest upheaval may come from the large technology firms. Amazon and Google... read more
How Big Tech Is Going After Your Health Care
When Daniel Poston, a second-year medical student in Manhattan, opened the App Store on his iPhone a couple of weeks ago, he was astonished to see an app for a new heart study prominently featured. People often learn about... read more
