Literature Review

[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.

Nurses' 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:

Visible, 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. ...

Oncology 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.

Company 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.

Swimming 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.

AI '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.

Adoption of artificial intelligence-enabled robots in long-term care homes by health care providers: Scoping reviewJournal of Medical Internet Research; Karen Lok Yi Wong, Lillian Hung, Joey Wong, Juyoung Park, Hadil Alfares, Yong Zhao, Abdolhossein Mousavinejad, Albin Soni, Hui Zhao; 8/24Long-term care (LTC) homes face the challenges of increasing care needs of residents and a shortage of health care providers. Literature suggests that artificial intelligence (AI)-enabled robots may solve such challenges and support person-centered care. We identified three barriers to AI-enabled robot adoption: (1) perceived technical complexity and limitation; (2) negative impact, doubted usefulness, and ethical concerns; and (3) resource limitations. Yet, our findings show that health care providers might not use robots because of different considerations. The implication is that the voices of health care providers need to be included in using robots.

13 steps to achieve AI implementation in your business Tech Trends Post; 9/11/24 AI technologies are quickly maturing as a viable means of enabling and supporting essential business functions. However, creating business value from artificial intelligence requires a thoughtful approach that balances people, processes and technology. AI comes in many forms: machine learning, deep learning, predictive analytics, natural language processing, computer vision and automation. Companies must start with a solid foundation and realistic view to determine the competitive advantages an AI implementation can bring to their business strategy and planning. ... Some of the many benefits that businesses can gain by adopting AI include the following:

Leadership in the age of AI: At the crossroads of humanity and technology Forbes; by Dr. Adil Dalal, DBA; 9/9/24 It has only been 200 years since the First Industrial Revolution and the mass adoption of what we now call technology... The Second Industrial Revolution in the late 19th and early 20th centuries, marked by great progress in mass production, ... emphasizing the importance of machines over humans and managers over employees. ... Today, the world stands on the precipice of the Fourth Industrial Revolution with artificial intelligence, which is not just reshaping industries but also redefining the very essence of leadership and decision-making. ...  A technology-driven leader [TDL] who prioritizes novelty over humanity can pose significant risks, potentially leading to societal downfall. ... A human-centric leader [HCL] prioritizes the well-being, growth and empowerment of people, steering humanity toward greatness. ... So is there an ideal Technology Age leader who can lead humanity through this historical moment? Yes! ... They must embody and demonstrate the following three qualities:

20 leadership skills that are still relevant in the AI age Forbes; by Forbes Expert Panel / Business Development Council; 9/6/24 Artificial intelligence has the power to automate and streamline countless business processes and improve efficiency across just about every sector. However, AI tools (and the humans using them) need guidance and training to perform to their full potential, which makes strong leadership more important than ever. Members of Forbes Business Development Council discuss the leadership skills that are still relevant in the age of AI. From strong critical thinking skills to communication and empathy, these traits are crucial to leading any organization through the transitions that come with new technology. [ These leadership skills include the following:] 1. Emotional Intelligence ... 2. Empathy ... 3. Transparency ... 4. The Ability to Identify Areas for Improvement ... 5. A Commitment to Continuous Learning ... 6. Adaptability ... 7. High-Level Communication Skills ... 8. Humility ... 9. Mental Agility ... 10. Knowledge of When to Apply AI ... 11. Prioritization Skills ... 12. Authenticity ... 13. Compassion and Understanding ... 14. An Understanding of How AI Can Complement Human Skills ... 15. Timely, Action-Oriented Decision-Making ... 16. Relationship Building ... 17. Resiliency ... Editor's note: Especially when recruiting and hiring AI leadership and setting up AI strategies for hospice and palliative care, use these qualities (1) within yourself in how you approach AI and (2) leadership skills you seek out from AI high-tech candidates. 

The biggest threat in health IT and RCM Becker's Hospital Review; by Randi Haseman; 9/6/24 Are organizations adopting AI technology too quickly or too slowly? And what's the future of payer relationships? ... As part of an ongoing series, Becker's is talking to healthcare leaders who will speak at our conference. ... Question: What is the biggest threat in health IT and RCM right now? [Responses from 47 executives featured in this article address the following and more: payer programs; modernizing legacy systems while ensuring data security and compliance; cyber-crime / cybersecurity; relieving provider and staff burden thgouth clinical workflows; state and federal legislation; human error; Gen AI 'mission-creep'; extended systems downtimes; the velocity of technical disruption; more ...]

Urgency to adopt AI intensifies for health IT leaders Becker's Health IT; by Naomi Diaz; 9/4/24 A Sept. 4 survey from healthcare data platform Arcadia revealed that 96% of healthcare technology leaders view the effective use of AI as crucial for gaining a competitive edge. ... The findings show that while 33% of these decision-makers see AI as essential today, that number rises sharply to 73% who believe it will be indispensable within the next five years. Despite their confidence in AI adoption, 96% of health tech leaders report feeling an increasing urgency to act, driven by pressure from data and analytics teams (82%), IT and tech departments (78%) and executive leadership (73%). However, the survey also highlights a significant challenge: 40% of leaders cite a talent shortage as a major barrier to AI implementation. This has led CIOs to place greater emphasis on skills such as data-driven decision-making (71%), data analysis, machine learning and systems integration (66%), as well as the need for roles focused on training and support for healthcare staff (59%).