Digitized Health

Recognizing healthcare startups driving innovation in patient care and experience. From telemedicine platforms and digital health apps to personalized medicine and remote monitoring devices, these startups are reshaping the healthcare landscape to prioritize patient-centric care.

Ilant Health, a virtual obesity management company, extended its seed funding round from $3 million to $5.5 million. Based in New York City, the company provides value-based care to employers and government payers nationwide. They match patients to personalized obesity treatment options such as intensive behavioral therapy, pharmacotherapy, and bariatric surgery. The funding includes participation from LifeX Ventures, Celtic House Asia Partners, and Cornucopian Capital. Investors were impressed by the founders’ experience and believe in the company’s potential to address the obesity epidemic. Ilant Health aims to improve cardiometabolic health and reduce healthcare costs through personalized obesity management programs. Source link

Discover how transformation in healthcare can revolutionize operational decisions and patient care, with insights from KaiNexus.

"Discover the key factors for successful implementation of AI in healthcare systems, from representative datasets to diverse stakeholder involvement."...

A new study showcases the power of machine learning to predict therapy outcomes among cancer patients using information from tumour cells. With more than 200 types of cancer and every cancer individually unique, ongoing efforts to develop precision oncology treatments remain daunting.

Yuqian Liu, PharmD, Magellan Rx Management, explores the current space of cell and gene therapies based on real-world data and potential emerging therapies in the future, while expanding upon long-term efficacy concerns.

EMA has launched electronic catalogs for RWD sources and RWD studies.

The Collaborative Care Model: Enhancing Value-Based Healthcare SAN FRANCISCO, April 18, 2024 /PRNewswire-PRWeb/ -- Future Health, a leading innovator in healthcare solutions, and the innovative force behind Done, a platform that allows users to manage their ADHD, today announced its......

With large language models that take notes during patient visits and algorithms that identify disease, artificial intelligence has begun to prove its worth as an assistant for physicians.

Three healthcare organizations, including AHIP, AMA, and NAACOS, have collaborated to release a playbook outlining best practices for value-based arrangements as the industry shifts away from fee-for-service models. The playbook focuses on improving patient experience, advancing population health, and reducing costs, with recommendations organized into seven domains. The goal is to help payers, physicians, hospitals, and ACOs implement payment models that enhance outcomes and lower costs. The playbook was created through the collaboration of diverse stakeholders and follows a previous release focused on data sharing. Future publications may explore additional aspects of value-based care arrangements. Source link

Generalist medical artificial intelligence (GMAI) models are gaining momentum in their applications for cancer treatment. In this Comment, Gilbert and Kather advocate for novel regulation of GMAI approaches to ensure patient safety and adequate physician support.

Digital health tracking is a source of valuable insights for public health research and consumer health technology. The brain is the most complex organ, containing information about psychophysical and physiological biomarkers that correlate with health.

/PRNewswire/ -- Core Solutions, Inc., (Core) is pleased to announce the launch of Core Clinician Assist: Symptom Tracking, the latest addition to Core's...

Background: With the rapid aging of the global population, the prevalence of mild cognitive impairment (MCI) and dementia is anticipated to surge worldwide. MCI serves as an intermediary stage between normal aging and dementia, necessitating more sensitive and effective screening tools for early...

Explore a shift toward efficiency and transparency in the latest UpLevel View podcast.

Background The use of routinely collected health data for secondary research purposes is increasingly recognised as a methodology that advances medical research, improves patient outcomes, and guides policy.

Background: The adoption of predictive algorithms in health care comes with the potential for algorithmic bias, which could exacerbate existing disparities. Fairness metrics have been proposed to measure algorithmic bias, but their application to real-world tasks is limited.

Predictive analytics revolves around the analysis of historical data, clinical patterns & patient information to anticipate events, behaviors & outcomes...

UC Davis Health and Amazon team up to combat health misinformation using generative AI. Learn how Project Health detects and responds to information threats.

AI-enriched platform transforms disparate data into actionable insights for care providers and partners, boosts patient engagement and access to care for improved outcomes at lower cost...

Researchers compared the clinical knowledge of large language models (LLMs) like GPT-4 to human experts in ophthalmology, revealing that GPT-4 can match or surpass trainee doctors in diagnostic reasoning on standardized tests.

In episode 5 of BRight Minds in Healthcare Delivery, Barak A Bassman and Eric Tower discuss how to legally and practically structure value-based care arrangements...

More healthcare practices need to find ways to manage their finances more effectively to avoid long-term challenges.

Artificial intelligence (AI) is advancing rapidly and is already starting to transform cancer research and care. Here, the authors outline how AI could be incorporated into liver cancer management, highlighting areas with academic, commercial and clinical potential, as well as ongoing progress and...

The widespread use of artificial intelligence (AI) in medical decision-making tools has led to an update of the TRIPOD guidelines for reporting clinical prediction models. The new TRIPOD+AI guidelines are launched in the BMJ today.