COVID-19 will likely impact and strain healthcare systems for many years to come — possibly even forever. As its attention wanes, we need technology to step in and tell us when and how to act next. What if there was a way to predict the next COVID-19 surge months before it affected operations? How many beds will be available? PPE? Where will you need to allocate additional resources and staff? What other seasonal uptick of disease will it align with? Will our revenue take a
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Predictive Analytics in Healthcare | Health IT | Digital Health | Patient Care Solutions | News, Insights, Analysis - HIT Consultant
KLAS: State of Value-Based Care Reimbursement in 2022 Trends
What You Should Know: - Value-based care (VBC) has been established as a priority among healthcare organizations and payers as participants have gained more experience in managing their quality metrics and contracts, ultimately realizing returns on their investments. - For their latest report, Value-Based Care Reimbursement 2022, KLAS talked to 54 healthcare executives—including CEOs, CFOs, CIOs, CMIOs, COOs, VPs and directors of population health, and VPs of analytics—to gauge how
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AGS Health Launches AI-Powered Revenue Cycle Platform
What You Should Know: - AGS Health, a revenue cycle management (RCM) solutions provider and strategic growth partner to some of the largest healthcare systems in the U.S., announces the launch of the AGS AI Platform, a connected solution that blends artificial intelligence (AI) and automation with award-winning human-in-the-loop services and expert support to maximize revenue cycle performance. - The platform allows healthcare organizations to gain enhanced visibility into day-to-day
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AI-Powered Pop Health and SDOH – The Good, The Bad and The Best Practices
Artificial intelligence (AI) has emerged as a powerful tool for making population health analytics more accurate and interventions more effective. Not all AI-powered pop health tools are created equal, and while many still exhibit different types of bias that limit their ability to accurately identify issues affecting certain populations, we have learned a lot about the sources of bias in AI and how to eliminate them. AI shortcomings aside, pop health analytics have advanced to the point that we
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Connected Devices Selection: Considerations for A Digital-First Approach to Data Collection
In recent years, digital health technologies (DHTs) have significantly changed the way we collect data within clinical trials. This is partially due to the overarching industry shift toward patient-centricity, but in some cases, it is also due to the commercial availability of powerful technology solutions not previously feasible for use in medical devices. In the past, nearly all patient data have traditionally been acquired by purpose-built machines manufactured by relatively small-scale
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Diagnostic Robotics Raises $45M for Medical-Grade AI Triage & Clinical Predictions Platform
What You Should Know: - Diagnostic Robotics has announced the closing of a $45M Series B funding round led by StageOne investors, with participation from Mayo Clinic, thus becoming a Mayo Clinic Platform portfolio company. Technion – Israel Institute of Technology, as well as other existing investors such as strategic angel investor Bradley Bloom, co-founder of Berkshire Partners, participated in this funding round as well. - The new funding will be used to accelerate product development,
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Impact of Applying Law of Small Numbers to the Telehealth Industry & Why Its Unsustainable
Driven by headlines and incomplete, misleading data that favor a telehealth narrative, health systems and healthcare investors must start asking "who" is actually supporting waning demand. The healthcare industry is no stranger to the 80/20 rule. The principle says 80% of an effect is driven by 20% of a cause, and in healthcare, it usually refers to there being a specific cohort of the population (e.g., the chronically ill) driving the majority of care utilization and costs. More recently,
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Designing Digital Transformation for Life Sciences: Building Resiliency When Disruption is the New Normal
The ability to navigate constant disruption is a prerequisite for success in today’s life science industries. To maintain their competitive advantage, businesses in this sector need to drastically boost their organizational agility and resiliency in the face of unprecedented market conditions and operational challenges. In order to achieve this, organizational digital transformation (DX) is necessary. However, with so much in flux, it can be difficult to see the big picture in trying to plan and
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Executive Roundtable: Can Innovation Alleviate Clinician Burnout?
The U.S. Surgeon General’s recent advisory about clinician burnout cited numerous societal, cultural, structural, and organizational causes—including excessive workloads, administrative burden, and lack of organizational support. The potential fallout of this trajectory is alarming: The advisory cites the Association of American Medical Colleges’ estimate on clinician demand outpacing supply, with an anticipated shortage of between
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Practicing for the Next Pandemic with Real-World Data
Data reporting challenges during the current pandemic relate to the lack of connectivity between public health and information technology (IT) reporting systems throughout the country. While access to real-world data (RWD) helps address this situation, the solution goes beyond simple accessibility. Real-world data represents data collected outside of randomized clinical trials, such as patient data from electronic health records (EHRs), mobile and smart devices, claims and billing activity
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