Literature Review
All posts tagged with “Technology / Innovations News | AI / ChatGPT / Machine Learning / Virtual Reality.”
Virtual reality videos for symptom management in hospice and palliative care
10/26/24 at 03:50 AMVirtual reality videos for symptom management in hospice and palliative careMayo Clinic Proceedings - Digital Health; by James R Deming, Kassie J Dunbar, Joshua F Lueck, Yoonsin Oh; 8/24Nature scenes significantly improved total symptom scores, as well as scores for drowsiness, tiredness, depression, anxiety, well-being, and dyspnea. The improved scores were not sustained 2 days later. Overall, bucket-list videos did not significantly improve symptoms. Neither previous experience with an activity nor a strong connection correlated with significant improvement; however, when patients rated video quality as outstanding, scores improved. Patients with lower functional status tended to have more symptoms beforehand and improve the most.
"Hospice care could be a compassionate choice": ChatGPT responses to questions about decision making in advanced cancer
10/26/24 at 03:45 AM"Hospice Care Could Be a Compassionate Choice": ChatGPT Responses to Questions About Decision Making in Advanced CancerJournal of Palliative Medicine; by Meghan McDarby, Emily L Mroz, Jessica Hahne, Charlotte D Malling, Brian D Carpenter, Patricia A Parker; 9/24Objective: To examine the content of ChatGPT responses to a hypothetical patient question about decision making in advanced cancer... ChatGPT responses (N= 96) were coded for mentions of: hospice care, palliative care, financial implications of treatment, second opinions, clinical trials, discussing the decision with loved ones, and discussing the decision with care providers... Responses more frequently mentioned clinical trials for vignettes describing 45-year-old patients compared with 65- and 85-year-old patients. When vignettes mentioned a preexisting recommendation for hospice, responses more frequently mentioned seeking a second opinion and hospice care... ChatGPT responses to questions about advanced cancer decision making can be heterogeneous based on demographic and clinical characteristics. Findings underscore the possible impact of this heterogeneity on treatment decision making in patients with cancer.
Southern Tier Health helps HomeCare & Hospice, Total Senior Care on USDA grant
10/23/24 at 03:00 AMSouthern Tier Health helps HomeCare & Hospice, Total Senior Care on USDA grant Olean Times Herald, Olean, NY; by Kellen M. Quigley; 10/22/24 A collaboration between three local agencies looking out for the health and well-being of their clients is getting a modern technological boost thanks to a federal grant. The Southern Tier Health Care System, Inc. (STHCS) was recently awarded nearly $140,000 through the U.S. Department of Agriculture’s Rural Development Rural Utilities Service Distance Learning and Telemedicine Grant Program. This funding is meant to empower rural communities by leveraging advanced technology to connect residents and healthcare providers, overcoming the challenges of distance and low population density. Of the total grant, $114,606.80 was allocated to HomeCare & Hospice and Total Senior Care for state-of-the-art digital communication and remote learning tools, including high-definition displays, advanced cameras and integrated audio systems.
Florida health system rolls out virtual nursing tech to 1K rooms
10/22/24 at 03:00 AMFlorida health system rolls out virtual nursing tech to 1K rooms Becker's Health IT; by Giles Bruce; 10/17/24 Fort Myers, Fla.-based Lee Health is expanding virtual nursing technology to nearly 1,000 patient rooms, representing about half its beds. The four-hospital system is rolling out dual-camera virtual care devices from telehealth company Caregility to scale its virtual nurse offering. The remote fleet management tools come with artificial intelligence capabilities and cloud-based updates. "Our virtual nursing program introduces innovative possibilities in patient care workflows by connecting the care in the complex patient journey," Lee Health Chief Nursing Officer Jennifer Higgins, DNP, RN, said in an Oct. 16 statement. "From admissions and discharges to continuous patient monitoring, patients benefit from an additional team member dedicated to their care."
The Tesla Bot is the future of at-home care, but not the way Elon wants you to think
10/21/24 at 03:00 AMThe Tesla Bot is the future of at-home care, but not the way Elon wants you to think AndroidCentral; by Nicholas Sutrich; 10/17/24 Imagine waking up on your 91st birthday to a friendly robot companion that brings your morning coffee and a nice warm robe to start the day in. After making you breakfast, it bids you good day and heads back into the closet for a quick charge-up. At around 11 a.m., you realize there's a new pain in your leg that you haven't experienced before, so you make a quick phone call to the doctor, and, in a minute, your robot companion emerges from the closet, entirely remote-controlled by your doctor. They can run scans, have a full conversation, and even perform exams, all without you having to leave your home and go through the irritating task of trying to find transportation across town. ... Nothing replaces full face-to-face human interaction, but the ability for a fully remote-controlled robot that can be embodied by anyone with a VR headset like the Meta Quest 3 is a future I want to fully embrace.
[Australia] Online plain language tool and health information quality-A randomized clinical trial
10/19/24 at 03:55 AMOnline plain language tool and health information quality-A randomized clinical trialJAMA Network Open; Julie Ayre, PhD; Carissa Bonner, PhD; Danielle M. Muscat, PhD; Erin Cvejic, PhD; Olivia Mac, MPH; Dana Mouwad, MHSc (Nsg); Heather L. Shepherd, PhD; Parisa Aslani, PhD; Adam G. Dunn, PhD; Kirsten J. McCaffery, PhD; 10/24National and international policies recognize that health literacy—a person’s capacity to access, understand, and act on health information—is a critical source of inequity in our health systems. Low health literacy contributes to higher mortality, morbidity, rates of hospitalization, emergency department visits, and medication errors independently of other social determinants of health, such as age, education, and socioeconomic disadvantage. In this randomized clinical trial, the Health Literacy Editor helped users simplify health information and apply health literacy guidelines to written text. The findings suggest the tool has high potential to improve development of health information for people who have low health literacy.
Ethical considerations in the design and conduct of clinical trials of artificial intelligence
10/19/24 at 03:45 AMEthical considerations in the design and conduct of clinical trials of artificial intelligenceJAMA Network Open; Alaa Youssef, PhD; Ariadne A. Nichol, BA; Nicole Martinez-Martin, JD, PhD; David B. Larson, MD, MBA; Michael Abramoff, MD, PhD; Risa M. Wolf, MD; Danton Char, MD, MS; 9/24In this qualitative study, interviews with 11 investigators involved in clinical trials of AI [artificial intelligence] for diabetic retinopathy screening confirmed the applicability of current ethical principles but also identified unique challenges, including assessing social value, ensuring scientific validity, fair participant selection, evaluation of risk-to-benefit ratio in underrepresented groups, and navigating complex consent processes. These results suggest ethical challenges unique to clinical trials of AI, which may provide important guidance for empirical and normative ethical efforts to enhance the conduct of AI clinical trials. These considerations call for further guidance on where to focus empirical and normative ethical efforts to best support conduct clinical trials of AI and minimize unintended harm to trial participants.
Racial differences in pain assessment and false beliefs about race in AI models
10/19/24 at 03:30 AMRacial differences in pain assessment and false beliefs about race in AI modelsJAMA Network Open; Brototo Deb, MD, MIDS; Adam Rodman, MD, MPH; 10/24Physicians undertreat Black patients’ pain compared with White patients, irrespective of setting and type of pain, likely from underassessment of pain and undertreatment of pain on recognition. Large language models (LLMs) encode racial and ethnic biases and may perpetuate race and ethnicity–based medicine. Although LLMs rate pain similarly between races and ethnicities, they underestimate pain among Black individuals in the presence of false beliefs. Given LLMs’ significant abilities in assisting with clinical reasoning, as well as a human tendency toward automation bias, these biases could propagate race and ethnicity–based medicine and the undertreatment of pain in Black patients. Mitigating these biases involves many strategies during dataset preparation, training, and posttraining stages.
Mass General Brigham tests drones for 'hospital at home': 6 things to know
10/17/24 at 03:00 AMMass General Brigham tests drones for 'hospital at home': 6 things to know Becker's Health IT; by Giles Bruce; 10/15/24 Somerville, Mass.-based Mass General Brigham has tested out drone delivery for its hospital-at-home program. Here are six things to know:
AI and change management: Navigating the human side of AI
10/16/24 at 03:00 AMAI and change management: Navigating the human side of AI Method; by Jaon Rome; 10/14/24 ... An effective AI change management strategy must consider multiple employee groups — including front-, middle-, and back-office workers — whom AI implementation most affects. How you talk about AI and introduce AI tools to your employees influences how your people perceive AI, which affects their acceptance and adoption of it. ... Your AI investments’ success depends on your people. They must buy into AI’s value, see themselves as innovating with AI rather than training their replacements, and use the AI tools you’ve built in their day-to-day work.
Why recent outages are a wake-up call for healthcare and regulators
10/14/24 at 03:00 AMWhy recent outages are a wake-up call for healthcare and regulators Forbes; by Chris Bowen; 10/11/24 When the CrowdStrike outage first started to show itself in the early hours of that hazy July morning, it was hard to believe that this wasn’t a hack or cyberattack. I was driving in my car that morning and looked up to see a digital billboard glitch into the "blue screen of death" before my eyes. Flights were grounded, travel was delayed, and nearly every Windows machine in the world was unusable. It was total mayhem. Clearly, this was an outage of major proportions, as millions of Windows systems worldwide essentially cratered. Caused by a faulty misconfiguration, we saw firsthand how the very digital advancements that have helped transform and modernize our world also expose us to more vulnerabilities than ever. ... In healthcare, this event laid bare the vulnerabilities we cannot overlook—the gaps that directly threaten patient care and safety. It’s a clear reminder of our industry’s utmost responsibility to patient privacy and well-being. ...
[Australia] Gender representation of health care professionals in large language model–generated stories
10/05/24 at 03:55 AM[Australia] Gender representation of health care professionals in large language model–generated storiesJAMA Network Open; Bradley D. Menz, B. Pharm (Hons); Nicole M. Kuderer, MD; Benjamin Chin-Yee, MD; Jessica M. Logan, PhD; Andrew Rowland, PhD; Michael J. Sorich, PhD; Ashley M. Hopkins, PhD; 9/24This cross-sectional study found significant variability in gender representation in LLM [large language model]-generated stories about medical doctors, surgeons, and nurses, with almost all stories about nurses represented as she/her. This ... study highlights the need for LLM developers to update their tools for equitable and diverse gender representation in essential health care roles, including medical doctors, surgeons, and nurses. As LLMs become increasingly adopted throughout health care and education, continuous monitoring of these tools is needed to ensure that they reflect a diverse workforce, capable of serving society’s needs effectively.
Harnessing natural language processing to assess quality of end-of-life care for children with cancer
10/05/24 at 03:10 AMHarnessing natural language processing to assess quality of end-of-life care for children with cancerJCO Clinical Cancer Informatics; Meghan E Lindsay, Sophia de Oliveira, Kate Sciacca, Charlotta Lindvall, Prasanna J Ananth; 9/24Data on end-of-life care (EOLC) quality, assessed through evidence-based quality measures (QMs), are difficult to obtain. Natural language processing (NLP) enables efficient quality measurement and is not yet used for children with serious illness. Conclusion: A high proportion of decedents attained specified EOLC-QMs more than 30 days before death. Our findings indicate that NLP is a feasible approach to measuring quality of care for children with cancer at the end of life and is ripe for multi-center research and quality improvement.
Nurses' top 10 AI concerns
10/03/24 at 03:00 AMNurses' top 10 AI concernsBecker's Health IT; by Giles Bruce; 10/1/24Nearly a quarter of nurses are uncomfortable with artificial intelligence's use in healthcare, according to an Oct. 1 McKinsey & Co. report. Here are nurses' top 10 concerns about AI, per the management consultant's joint survey with the American Nurses Foundation of 7,200 nurses:
Research suggests AI could enhance patient safety, but raises questions
10/02/24 at 03:00 AMResearch suggests AI could enhance patient safety, but raises questions The American Journal of Managed Care (AJMC); by Hayden E. Klein; 9/26/24 A new study from Boston University highlighted the potential of generative artificial intelligence (AI) to improve patient safety in health care. Published in The Joint Commission Journal on Quality and Patient Safety, the study tested the widely used AI model GPT-4 on the Certified Professional in Patient Safety (CPPS) exam, where it answered 88% of questions correctly. Researchers believe AI could help reduce medical errors, estimated to cause 400,000 deaths annually, by assisting clinicians in identifying and addressing safety risks in hospitals and clinics. ... The study authors suggested that AI has promise in helping doctors better recognize, address, and prevent mistakes or accidental harm in hospitals and clinics. ... However, the study also highlighted critical limitations of current AI technologies, including the risk of bias, fabricated data, and false confidence in responses.
Visible, active leadership is vital to change management, says Epic emeritus CIO advisor
09/30/24 at 03:10 AMVisible, active leadership is vital to change management, says Epic emeritus CIO advisor Healthcare IT News; by Bill Siwicki; 9/26/24 [Part 1 of 2] Lost amidst talk of all the amazing technologies used in healthcare today is a subject very important to Robert Slepin: change management. ... Clinical workforce shortages and burnout, increasing costs and decreasing reimbursement, and capacity to care for patients with behavioral health/addiction issues – these are among the top issues confronting U.S. hospitals, according to the American College of Healthcare Executives. ... While there is no magic wand to accelerate progress, in my experience you can significantly improve the outcomes in a healthcare transformation initiative with an intentional focus and disciplined approach to change management. Conversely, not being thoughtful and effective in leading change could hinder your efforts or adversely impact the outcomes, and even possibly spell disaster. ... Visible, active leadership is vital. ... A hands-off approach of issuing orders from the corner office and asking others to "let me know when it's done" won't cut it. ... Besides being visible and hands-on, the best leaders I have worked with demonstrate a positive style; for example, they are authentic, coaching, transformational, engaging and compassionate. They remove fear and build trust, and inspire, educate, coach and support people in moving together toward a common, stretch goal. ...
77% of health system IT employees eyeing new jobs
09/26/24 at 03:00 AM77% of health system IT employees eyeing new jobs Becker's Health IT; Naomi Diaz; 9/25/24 Health system IT employees are keeping their options open, with 77% actively seeking new jobs or planning to do so within the next year, according to Bloomforce's "2024 EHR Salary Insights Report." The report, based on an online survey conducted between November and December 2023, gathered responses from 284 healthcare professionals across various roles, including application analysts, team leads, project managers and people managers. It explored areas such as salary, job satisfaction, work-life balance, talent retention and attitudes toward remote work. Here are some key findings from the report: [Click on the title's link to read more.]
Oncology leaders call for ‘ethical deployment’ and ‘responsible use’ of AI in cancer care
09/26/24 at 02:00 AMOncology leaders call for ‘ethical deployment’ and ‘responsible use’ of AI in cancer care Healio; by Josh Friedman and Matthew Shinkle; 9/25/24 The AI revolution already has transformed delivery of cancer care. New algorithms rapidly identify patterns or abnormalities on imaging, improving diagnostic accuracy. Large language models can craft responses to patient questions, and machine learning predicts treatments to which a patient is most likely to respond. ... Oncologists are grappling with complex issues as they integrate AI into cancer care, according to results of a nationwide survey. Most oncologists believe they should have the ability to explain how AI models work and must protect patients from biased AI, findings published in JAMA Network Open showed. Most respondents also indicated patients should consent to use of AI before it is implemented in practice. ... Despite the potential benefits of AI to improve decision-making and outcomes, clinicians have expressed concerns about ... AI bias; the ability of AI to detail its decision-making process; who bears responsibility for errors or misuse; and whose treatment recommendation takes precedence when a physician and AI do not agree.
That message from your doctor? It may have been drafted by A.I.
09/25/24 at 03:00 AMThat message from your doctor? It may have been drafted by A.I. DNYUZ; 9/24/24 Every day, patients send hundreds of thousands of messages to their doctors through MyChart, a communications platform that is nearly ubiquitous in U.S. hospitals. They describe their pain and divulge their symptoms — the texture of their rashes, the color of their stool — trusting the doctor on the other end to advise them. But increasingly, the responses to those messages are not written by the doctor — at least, not entirely. About 15,000 doctors and assistants at more than 150 health systems are using a new artificial intelligence feature in MyChart to draft replies to such messages. Many patients receiving those replies have no idea that they were written with the help of artificial intelligence. In interviews, officials at several health systems using MyChart’s tool acknowledged that they do not disclose that the messages contain A.I.-generated content. The trend troubles some experts who worry that doctors may not be vigilant enough to catch potentially dangerous errors in medically significant messages drafted by A.I.
Company resolves AI ad dispute with Texas AG
09/24/24 at 03:00 AMCompany resolves AI ad dispute with Texas AG Becker's Health IT; by Naomi Diaz; 9/19/24 An AI company that works with health systems has reached an agreement with Texas Attorney General Ken Paxton to resolve allegations that it issued inaccurate and deceptive claims regarding the reliability and safety of its products. AI health tech company Pieces Technologies' generative AI tool is capable of providing summaries of patients' conditions and treatments for hospital staff. The company works with four hospitals in Texas, according to a Sept. 18 news release. ... Mr. Paxton's investigation concluded that these metrics were likely inaccurate and may have misled hospitals regarding the true accuracy and safety of the company's products. As part of the agreement, Pieces has committed to providing transparent and accurate information about the accuracy of its products. The company has also agreed to ensure that hospital staff using its generative AI tools for patient care are fully informed about the appropriate level of reliance on these products.
AI shouldn't decide who dies. It's neither human nor humane
09/23/24 at 03:00 AMAI shouldn't decide who dies. It's neither human nor humane Fox News; by John Paul Kolcun and Anthony Digiorgio; 9/20/24 [Opinion] As we write this, PubMed ... indexes 4,018 publications with the keyword "ChatGPT." Indeed, researchers have been using AI and large-language models (LLMs) for everything from reading pathology slides to answering patient messages. However, a recent paper in the Journal of the American Medical Association suggests that AI can act as a surrogate in end-of-life discussions. This goes too far. The authors of the paper propose creating an AI "chatbot" to speak for an otherwise incapacitated patient. To quote, "Combining individual-level behavioral data—inputs such as social media posts, church attendance, donations, travel records, and historical health care decisions—AI could learn what is important to patients and predict what they might choose in a specific circumstance." Then, the AI could express in conversant language what that patient "would have wanted," to inform end-of-life decisions. We are both neurosurgeons who routinely have these end-of-life conversations with patients’ families, as we care for those with traumatic brain injuries, strokes and brain tumors. These gut-wrenching experiences are a common, challenging and rewarding part of our job. Our experience teaches us how to connect and bond with families as we guide them through a life-changing ordeal. In some cases, we shed tears together as they navigate their emotional journey and determine what their loved one would tell us to do if they could speak.
Swimming with dolphins or a gondola ride in Italy: Hospice VR program offers respite to dying patients
09/23/24 at 02:30 AMSwimming with dolphins or a gondola ride in Italy: Hospice VR program offers respite to dying patients The Hamilton Spectator; by Celeste Percy-Beauregar; 9/19/24Paramedic Andrew Wood asks a patient receiving end-of-life care at Hankinson House hospice in Brantford: “What would you like to do?” Whether it’s a concert, kayaking or skydiving that they have in mind, he can make it happen right then and there, with virtual-reality (VR) headsets. Since many of the patients have limited energy and are confined to their beds, VR offers a brief escape, an opportunity to try something new or return somewhere special, like a childhood home — one of Wood’s favourite experiences to facilitate using Google Street View.
Using AI and social media to understand health disparities for transgender cancer care
09/21/24 at 03:40 AMUsing AI and social media to understand health disparities for transgender cancer careJAMA Network Open; Augustine Annan, PhD; Yeran Li, PhD; Jingcheng Du, PhD; Yezhou Sun, MS; A. I. Asante-Facey, MD; Xiaoyan Wang, PhD; Matthew Monberg, PhD; 8/24Transgender individuals experience lower health care use and higher health care discrimination rates. This qualitative study revealed 3 barriers in transgender cancer care: lack of awareness, access issues, and clinical challenges. The consistent reporting of clinical challenges indicates the need for tailored medical guidelines and gender-affirming support systems. Addressing these disparities requires enhanced clinician education, evidence-based guidelines, policy reforms, and inclusive health coverage. Despite potential biases and limitations in the representativeness of social media data, this study may offer valuable insights to guide future initiatives toward achieving equitable health care for transgender individuals.
AI 'early warning' system shows promise in preventing hospital deaths, study says
09/18/24 at 03:00 AMAI 'early warning' system shows promise in preventing hospital deaths, study says Pique NewsMagazine, Toronto, Canada; by Nicole Ireland; 9/16/24 An AI early-warning system that predicts which patients are at risk of deteriorating while in hospital was associated with a decrease in unexpected deaths, a new study says. The study, published Monday in the Canadian Medical Association Journal, found a 26 per cent reduction in non-palliative deaths among patients in St. Michael's Hospital's general internal medicine unit when the AI tool was used. "We've seen that there is a lot of hype and excitement around artificial intelligence in medicine. We've also seen not as much actual deployment of these tools in real clinical environments," said lead author Dr. Amol Verma, a general internal medicine specialist and scientist at the hospital in Toronto. "This is an early example of a tool that's deployed that was rigorously tested and evaluated and where it's showing promise for actually helping improve patient care." ... The technology called CHARTwatch continuously analyzed more than 100 different pieces of information about each patient in the unit, Verma said. When the AI tool predicted that a patient was deteriorating, it sent an alert to physicians and nurses, prompting them to quickly intervene.
Breaking the barriers in information sharing: Changing the discussion from legal risk to C-suite opportunity
09/18/24 at 02:10 AMBreaking the barriers in information sharing: Changing the discussion from legal risk to C-suite opportunity N2K; by Rick Howard; 9/16/24 In the evolving landscape of cybersecurity, sharing information among institutions is critical to bolster defenses against increasingly sophisticated threats. Cooperation between organizations can strengthen everyone’s defenses, but such an approach requires openness and transparency, something that many organizations have been reluctant to do. ... The C-suite – comprising top executives such as the CEO, CFO, CIO, CISO, and others – plays a critical role in shaping an organization's approach to cybersecurity. In the context of information sharing, the C-suite's role is pivotal in driving the cultural and operational changes necessary to transition from a risk-averse stance to one that recognizes the strategic value of collaboration and information exchange. One of the most successful initiatives that C-suite leaders can champion is participation in industry-specific Information Sharing and Analysis Centers (ISACs). ... [Following discussions include:] The business case for information sharing ... Enhanced risk management ... Cost savings and resource efficiency ... Compliance and legal benefits ... Innovation ... Professional Development ... Challenges to information sharing ... Legal and regulatory complexities ... Risk of exposure and misuse ... Trust issues among organizations ... Technical barriers ... Cultural and organizational obstacles ... Sharing information ... Categorize information by sensitivity ... Assess recipients ... Vet the data ... Monitoring and oversight ... Engaging in industry-wide collaboration ... Real world examples - Health-ISAC and the faulty CrowdStrike update ... The path forward ... [Click on the title's link for the full article and a whitepaper.]