Years after the first cases of Covid-19 were reported in the U.S., the healthcare industry continues to feel the impact. Hospitals and health systems have been on the front lines of the pandemic since day one and still struggle with shortages of skilled clinicians, overworked staff and financial losses. A February 2022 report from the American College of Healthcare Executives found that labor shortages ranked first on the list of community hospital CEOs' top concerns, and a 2022 report by patient safety organization ECRI ranked staff shortages first among the top risks to patient safety. For hospitals and health system executives looking to recruit more clinical staff and retain current staff, they need to embrace and implement modernized technology designed to minimize workloads and allow medical professionals to focus on patient care. The healthcare industry has begun to embrace technology to help solve its staffing strain.

As many as 400,000 Americans die each year because of medical errors, but many of these deaths could be prevented by using electronic sensors and artificial intelligence to help medical professionals monitor and treat vulnerable patients in ways that improve outcomes while respecting privacy. "We have the ability to build technologies into the physical spaces where health care is delivered to help cut the rate of fatal errors that occur today due to the sheer volume of patients and the complexity of their care," said Arnold Milstein, a professor of medicine and director of Stanford's Clinical Excellence Research Center (CERC). Milstein, along with computer science professor Fei-Fei Li and graduate student Albert Haque, are co-authors of a Nature paper that reviews the field of "ambient intelligence" in health care -- an interdisciplinary effort to create such smart hospital rooms equipped with AI systems that can do a range of things to improve outcomes. For example, sensors and AI can immediately alert clinicians and patient visitors when they fail to sanitize their hands before entering a hospital room. AI tools can be built into smart homes where technology could unobtrusively monitor the frail elderly for behavioral clues of impending health crises.

Despite years of research into patient falls in hospital rooms, falls and related injuries remain a serious concern to patient safety. In this work, we formulate a gradient-free constrained optimization problem to generate and reconfigure the hospital room interior layout to minimize the risk of falls. We define a cost function built on a hospital room fall model that takes into account the supportive or hazardous effect of the patient's surrounding objects, as well as simulated patient trajectories inside the room. We define a constraint set that ensures the functionality of the generated room layouts in addition to conforming to architectural guidelines. We solve this problem efficiently using a variant of simulated annealing. We present results for two real-world hospital room types and demonstrate a significant improvement of 18% on average in patient fall risk when compared with a traditional hospital room layout and 41% when compared with randomly generated layouts.

"We have the ability to build technologies into the physical spaces where health care is delivered to help cut the rate of fatal errors that occur today due to the sheer volume of patients and the complexity of their care," said Arnold Milstein, a professor of medicine and director of Stanford's Clinical Excellence Research Center (CERC). Milstein, along with computer science professor Fei-Fei Li and graduate student Albert Haque, are co-authors of a Nature paper that reviews the field of "ambient intelligence" in health care -- an interdisciplinary effort to create such smart hospital rooms equipped with AI systems that can do a range of things to improve outcomes. For example, sensors and AI can immediately alert clinicians and patient visitors when they fail to sanitize their hands before entering a hospital room. AI tools can be built into smart homes where technology could unobtrusively monitor the frail elderly for behavioral clues of impending health crises. And they prompt in-home caregivers, remotely located clinicians and patients themselves to make timely, life-saving interventions.

Electronic sensors and artificial intelligence could help health professionals monitor and treat vulnerable patients in ways that improve the outcome without invading privacy, Stanford University said in a statement. A team of researchers reviewed the field of'ambient intelligence' in healthcare - an interdisciplinary effort to create smart hospital rooms equipped with AI systems that can do a range of things to improve patient outcomes. AI tools can unobtrusively monitor impending health crises in the elderly. Devices could prompt in-home caregivers, remotely located clinicians and patients themselves to make timely, life-saving interventions. Sensors and AI can immediately alert clinicians and patient visitors when they fail to sanitize their hands before entering a hospital room.

The healthcare industry is facing a number of challenges today. Between a very real labor shortage, and the need to keep everything clean, the industry is facing an uphill battle if it doesn't find some help. I recently had the opportunity to sit down with Conor McGinn, CEO, Akara Robotics, to address this very topic and he has an interesting solution. Here is a hint: it's a robot. "We see a lot of opportunity in the healthcare system, largely due to the fact that there is this chronic labor shortage and without technology we just don't have a chance to solve," McGinn explains.

As many as 400,000 Americans die each year because of medical errors, but many of these deaths could be prevented by using electronic sensors and artificial intelligence to help medical professionals monitor and treat vulnerable patients in ways that improve outcomes while respecting privacy. "We have the ability to build technologies into the physical spaces where health care is delivered to help cut the rate of fatal errors that occur today due to the sheer volume of patients and the complexity of their care," said Arnold Milstein, a professor of medicine and director of Stanford's Clinical Excellence Research Center (CERC). Milstein, along with computer science professor and Fei-Fei Li and graduate student Albert Haque, are co-authors of a Nature paper that reviews the field of "ambient intelligence" in health care -- an interdisciplinary effort to create such smart hospital rooms equipped with AI systems that can do a range of things to improve outcomes. For example, sensors and AI can immediately alert clinicians and patient visitors when they fail to sanitize their hands before entering a hospital room. AI tools can be built into smart homes where technology could unobtrusively monitor the frail elderly for behavioral clues of impending health crises.

Artificial intelligence (AI) has been tapped to revolutionize operations across industries. Researchers are using algorithms to more aptly predict wildfires across the western US. Earlier this year, an AI system identified an existing rheumatoid arthritis medication that could be repurposed to treat COVID-19 patients. In a recent paper, researchers illustrate various ways these technologies could be used to enhance patient care in the hospitals of tomorrow. "We have the ability to build technologies into the physical spaces where health care is delivered to help cut the rate of fatal errors that occur today due to the sheer volume of patients and the complexity of their care," said Arnold Milstein, a professor of medicine and director of Stanford's Clinical Excellence Research Center (CERC) in a Stanford report.

A few years ago, on a warm sunny afternoon, my ninety-year-old father-in-law was sweeping his patio when he suddenly felt weak and dizzy. Falling to his knees, he crawled inside his condo and onto the couch. He was shaking but not confused when my wife, Susan, came over minutes later, since we lived just a block away. She texted me at work, where I was just finishing my clinic, and asked me to come over. When I got there, he was weak and couldn't stand up on his own, and it was unclear what had caused this spell.

Cedars-Sinai is making some of its hospital rooms a little more like home for patients with the help of Amazon Alexa. The Los Angeles hospital on Monday said it's piloting a system called Avia, which it calls "the world's first patient-centered voice assistant platform for hospitals." As part of the pilot, Cedars-Sinai has equipped more than 100 rooms with Amazon Echo smart speakers so patients can use Alexa to control the TV or summon a nurse with just the sound of their voice. Patients in these "smart hospital rooms" can say things like "Alexa, change the channel to ESPN" when they want to watch sports on TV or "Alexa, tell my nurse I need to use the restroom" when they need assistance getting out of bed. Healthcare requests are sent to the appropriate person's mobile phone--whether that be a caregiver, nurse, clinical partner, manager, or administrator.