What You Should Know:
Operational limitations—such as staffing shortages, variable patient flow, and poor visibility into resource availability—can make it difficult for healthcare organizations to effectively manage their capacity, leading to volatile workloads that see resources either under- or over-utilized. Some organizations are using capacity optimization management technology, which includes artificial intelligence (AI) and machine learning (ML), to collect data that can improve
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Machine Learning in Healthcare | ML News, Analysis, Insights - HIT Consultant
FWA Is Increasing. Healthcare Costs Are Spiraling. Now There’s A New Generation Of AI Technology To Take Back Control
In 2020, the Department of Justice estimated that fraudulent, wasteful, and abusive (FWA) billing practices account for more than $100 billion of the nation’s healthcare expenditures.1 Today, the National Healthcare Anti-Fraud Association (NHCAA) conservatively estimates that healthcare FWA costs the nation about $68 billion annually, representing 3% of the nation's $2.26 trillion in healthcare spending.2 FWA estimates from commercial health plans range as high as $230 billion annually, or
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M&A: MultiPlan Acquires Benefits Science LLC for $160M
What You Should Know:
MultiPlan, a provider of data-enabled cost management, payment, and revenue integrity solutions for 700+ healthcare payors announced the acquisition of Benefits Science LLC (BST) for $160M in cash and stock.BST was founded in 2012 by a group of MIT-trained experts in data science, including Dimitris Bertsimas, Ph.D., who is recognized as an early pioneer in healthcare analytics and who serves as the company’s chief data scientist. Dr. Bertsimas will continue with BST
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4 Keys to Modernizing Public Health Data Collection and Analysis
The COVID-19 pandemic shined a spotlight on the urgent need to modernize the nation’s public health system. Despite success in rapidly developing vaccines, the unprecedented public health emergency also exposed significant gaps in U.S. public health infectious disease data collection and analysis methods which are critical for identifying behavioral risk factors and preventive actions.
The Problem
Unfortunately, inefficiency remains a hallmark of the U.S. public health surveillance system
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Apple Watch, Wearables Can Monitor & Access Psychological States
What You Should Know:
Researchers at the Icahn School of Medicine at Mount Sinai found that applying machine learning models to data collected passively from wearable devices can identify a patient's degree of resilience and well-being. The study, published in JAMIA Open, supports the use of wearable devices, such as the Apple Watch, to monitor and assess psychological states remotely.The researchers note that mental health disorders account for 13 percent of the burden of global disease and
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Q/A: CalmWave CEO Talks Leveraging AI to Reduce Alarm Fatigue
What You Should Know:
Healthcare providers face the difficult challenge of coping with an ever-increasing workload while still providing high-quality patient care and trying to retain their staff. As the CEO of CalmWave, Inc., Ophir Ronen is an expert in both patient outcomes and staff retention who understands the importance of leveraging AI technologies to reduce alarm fatigue and deliver more efficient quiet care.
Delivering Efficient Care by Reducing Alarm Fatigue
Alarm fatigue is
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Expectations For The Connected Care Business In The Years Ahead
Though we seldom see their use in our modern world and, even then, only in fiction, there was a time when it was common for people to actually use things like crystal balls and divining rods to try to uncover unknown yet valuable information. As unbelievable as it may seem, soothsayers peered into crystal balls aiming to help seekers look into the future for guidance, while prospectors would rely earnestly on divining rods as they attempted to locate underground riches of water or oil.
While
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How AI Can Deliver Benefits in Healthcare Manufacturing and Patient Device Usage
According to Grand View Research, the global artificial intelligence (AI) in the healthcare market size was valued at USD 15.4 billion in 2022 and is expected to grow at a compound annual growth rate (CAGR) of 37.5% from 2023 to 2030, to reach an estimated USD 208.2 billion. That’s an impressive growth rate, indicating the expected value delivery to a mostly early-phase adoption of AI in the healthcare marketplace. With such aggressive predicted growth, many health industry professionals
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5 Digital Health Executives Share Their Key Takeaways from HIMSS23
John Erwin, CEO of Carenet Health
I was pleased with the robust turnout at HIMSS this year; it does seem like the healthcare industry is making up for the lost time from the pandemic. The topics that dominated the conference included teasing out the nuanced approach to safely deploying Chat GPT/AI into the industry (and when not to), health equity, and the patient journey. Workforce burnout continues to be a major issue in healthcare, though I think we could have
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Consumer Trust: How Healthcare Organizations Can Build Confidence with AI
Trust is a vital component of healthcare. It impacts whether someone shows up for a doctor’s appointment, follows their treatment plan, or plays an active role in their health.
But building trust doesn’t just happen at the front counter, inside the doctor's office, or in face-to-face interactions. Increasingly, consumers are interacting with their health plans through online and mobile touchpoints — and these virtual experiences are no less crucial to building trust than in-person
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