Artificial Intelligence (AI) and robotics are increasingly being integrated into healthcare settings, with a focus on enhancing patient care and operational efficiency. A recent Morgan Stanley report highlights that 94% of healthcare companies use AI, predicting a significant budget increase for AI and machine learning. Various hospitals in Los Angeles are already deploying AI applications—from robots managing medication delivery to AI systems predicting ER wait times and infection risks in patients. However, experts caution that the implementation and validation of AI technologies in clinical settings are complex and must be approached slowly to ensure safety and effectiveness. Examples include UCLA Health's robotic surgeries controlled by surgeons, AI-enhanced decision tools at City of Hope for detecting sepsis in vulnerable patients, and Cedars-Sinai's patient-facing AI app improving pre-visit diagnostics and care efficiency.

LA Hospitals AI Use Grows publication

In an article published on March 28, 2024, by Julian Horsey, IBM highlights five essential principles for creating trustworthy AI models: explainability, fairness, transparency, robustness, and privacy. These principles aim to enhance trust in AI systems by ensuring they are understandable, ethical, and secure, catering to a broad audience without requiring specialized knowledge. The article underscores the importance of these criteria in facilitating trust between users and AI, especially in sectors like healthcare and finance where decisions have significant implications. Additionally, IBM emphasizes the ongoing need for AI developers to engage with diverse data sets, uphold data privacy, and implement robust security measures to safeguard against threats and biases, thereby aligning technological advances with ethical standards and user security requirements.

5 Essential principals for creating trustworthy AI models Geeky Gadgets

The McKinsey report predicts significant growth in yearly healthcare profits by 2025, focusing on four main areas: insurance carriers, pharmacy services, revenue cycle management, and outpatient provider services, with total profits projected at $513 billion. The alignment of these profit areas with UnitedHealth Group’s strategy raises questions about whether McKinsey’s insights are influencing United or vice versa. This correlation suggests a strategic convergence or possible direct influence between consultancy projections and major healthcare company strategies.

Eric Bricker, MD on LinkedIn: #profits #providers #insurers #future #insurancecarriers #pbms #software… | 13 comments LinkedIn

Walmart announced the closure of all its health-care clinics across the United States, marking a significant reversal from its prior expansion plans in the health sector, including primary care, dental, and telehealth services. Citing a broken business model, operational challenges, and financial losses driven by high operating costs and a challenging reimbursement environment, the company decided to shutter its 51 clinic locations in states like Arkansas, Florida, Georgia, Illinois, and Texas, without affecting its pharmacies and vision centers. This decision comes after earlier announcements of expansion and amidst a backdrop of the company struggling with high executive turnover and competitive dynamics in healthcare. Walmart's move represents another example of the difficulties companies face when trying to disrupt the traditional, complex, and costly American healthcare system.

Walmart to shutter health centers, virtual care service in latest failed push into health care CNBC

Artificial Intelligence (AI) and robotics are increasingly being integrated into healthcare settings, with a focus on enhancing patient care and operational efficiency. A recent Morgan Stanley report highlights that 94% of healthcare companies use AI, predicting a significant budget increase for AI and machine learning. Various hospitals in Los Angeles are already deploying AI applications—from robots managing medication delivery to AI systems predicting ER wait times and infection risks in patients. However, experts caution that the implementation and validation of AI technologies in clinical settings are complex and must be approached slowly to ensure safety and effectiveness. Examples include UCLA Health's robotic surgeries controlled by surgeons, AI-enhanced decision tools at City of Hope for detecting sepsis in vulnerable patients, and Cedars-Sinai's patient-facing AI app improving pre-visit diagnostics and care efficiency.

LA Hospitals AI Use Grows publication

In an article published on March 28, 2024, by Julian Horsey, IBM highlights five essential principles for creating trustworthy AI models: explainability, fairness, transparency, robustness, and privacy. These principles aim to enhance trust in AI systems by ensuring they are understandable, ethical, and secure, catering to a broad audience without requiring specialized knowledge. The article underscores the importance of these criteria in facilitating trust between users and AI, especially in sectors like healthcare and finance where decisions have significant implications. Additionally, IBM emphasizes the ongoing need for AI developers to engage with diverse data sets, uphold data privacy, and implement robust security measures to safeguard against threats and biases, thereby aligning technological advances with ethical standards and user security requirements.

5 Essential principals for creating trustworthy AI models Geeky Gadgets

The McKinsey report predicts significant growth in yearly healthcare profits by 2025, focusing on four main areas: insurance carriers, pharmacy services, revenue cycle management, and outpatient provider services, with total profits projected at $513 billion. The alignment of these profit areas with UnitedHealth Group’s strategy raises questions about whether McKinsey’s insights are influencing United or vice versa. This correlation suggests a strategic convergence or possible direct influence between consultancy projections and major healthcare company strategies.

Eric Bricker, MD on LinkedIn: #profits #providers #insurers #future #insurancecarriers #pbms #software… | 13 comments LinkedIn

Walmart announced the closure of all its health-care clinics across the United States, marking a significant reversal from its prior expansion plans in the health sector, including primary care, dental, and telehealth services. Citing a broken business model, operational challenges, and financial losses driven by high operating costs and a challenging reimbursement environment, the company decided to shutter its 51 clinic locations in states like Arkansas, Florida, Georgia, Illinois, and Texas, without affecting its pharmacies and vision centers. This decision comes after earlier announcements of expansion and amidst a backdrop of the company struggling with high executive turnover and competitive dynamics in healthcare. Walmart's move represents another example of the difficulties companies face when trying to disrupt the traditional, complex, and costly American healthcare system.

Walmart to shutter health centers, virtual care service in latest failed push into health care CNBC