Tag: Artificial Intelligence

Summary of article from Healthcare IT News, by Andrea Fox:

Several major universities are developing a platform named Project Heal to combat healthcare and public health misinformation. The platform will use machine learning, generative AI, and predictive analytics to identify and counteract misinformation before it spreads. The system also accounts for cultural, historical, and linguistic nuances to generate personalized messages for targeted communities.

Summary of article from Healthcare IT News, by Andrea Fox:

The California Nurses Association (CNA) has protested against the use of artificial intelligence (AI) in healthcare by Kaiser Permanente, citing concerns over patient safety, job displacement, and the devaluation of nursing practice. The CNA demands that workers and unions be involved in the development and deployment of AI in healthcare. Meanwhile, Kaiser Permanente argues that AI can improve patient care, citing a program that reportedly saved approximately 500 patient lives annually. A recent report revealed that many nurses are uncomfortable with AI, with concerns ranging from lack of empathy to data security. The report suggests that for successful AI implementation, healthcare organizations should prioritize transparency, training, communication, and feedback.

Summary of article from Dallas Morning News:

Parkland Health is actively utilizing artificial intelligence (AI) in medical practices, including trauma patient treatment and assisting doctors with paperwork. The technology analyzes patient data and updates survival probabilities in real time, while also transcribing doctors’ notes. Despite potential AI biases and inaccuracies, Parkland mitigates these risks through regular model reviews. The hospital, an early adopter of electronic health records and a member of Duke University’s Health AI partnership corps, has leveraged AI to predict patient needs and manage patient loads. Being a public hospital, Parkland strategically implements thoroughly vetted AI tools or collaborates with the Parkland Center for Clinical Innovation on new technologies.

Summary of article from Epstein Becker Green, by Bradley Merrill Thompson:

The Office of Civil Rights (OCR) has published its final rule on algorithmic discrimination by payers and health care providers. The rule, based on section 1557 of the Affordable Care Act, prohibits discrimination on the basis of race, color, national origin, sex, age, or disability through the use of patient care decision support tools. Covered entities are required to identify and mitigate the risk of discrimination in these tools, with larger, more sophisticated organizations held to a higher compliance standard. The rule applies to both automated and non-automated tools and is set to become effective 300 days after its publication. OCR is also considering additional rulemaking to expand the scope of the regulation.

Summary of article from Health IT Analytics, by Shania Kennedy:

A recent Generative AI in Healthcare Survey reveals that healthcare and life sciences organizations are increasingly investing in generative AI projects, with larger organizations and leadership roles reporting higher adoption rates. The survey found that 35% of respondents are not actively considering generative AI, while 21% are evaluating use cases and 20% are developing these tools. The majority of organizations have significantly increased their generative AI budgets, with a focus on small, task-specific language models. The most common use cases are streamlining clinical workflows and improving patient communication. Despite the increased adoption, accuracy and potential legal and reputational risks are major roadblocks, and many generative AI projects have not been thoroughly tested for bias and explainability.

Summary of article from Carlton Fields, by Michael Bailey, John Clabby:

The Health Sector Cybersecurity Coordination Center (HC3) has issued an alert about advanced cybersecurity threats targeting the healthcare sector, particularly IT help desks. These threats involve the use of publicly available information and AI to impersonate healthcare employees, gaining access to email accounts and diverting payments to threat-controlled accounts. The alert also highlights the rise of “spearphishing voice” or “vishing” attacks, using AI to mimic employee voices. In response, the Department of Health and Human Services (HHS) is planning to expand its cybersecurity regulations and enforcement, including potential increases in penalties for HIPAA violations. To mitigate these threats, organizations are advised to enhance training, review cybersecurity policies, limit social media exposure, improve help desk verification procedures, and reassess multi-factor authentication methods.