What You Should Know:
- Lucem Health™ today announced the availability of its new early AI-driven disease detection solutions, Lucem Health Reveal that leverages existing EHR data to identify patients who may be at a higher risk of serious or chronic disease.
- Reveal solutions surface previously undiscovered insights in readily available clinical data that can help provider organizations deliver greater clinical value for patients and more financial value to the organization.
Early
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Medial EarlySign
EarlySign, Israeli HMO Launch AI Algorithm to Detect High-Risk COVID-19 Cases
What You Should Know:
Medial EarlySign announced the first clinical
implementation of its AI-based solution to identify patients at highest risk of
COVID-19 complications, with leading Israeli HMO Maccabi Healthcare
Services.
The new algorithm uses a wide range of routine medical
information to objectively flag high-risk patients who should be fast-tracked
for COVID-19 testing, facilitating earlier treatment to reduce severe
cases, optimize treatment decisions and
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EarlySign, Maccabi Healthcare Launches AI-Powered Flu Vaccination Campaign
- Medial EarlySign unveils the first clinical implementation of its AI-based solution to identify unvaccinated individuals at high-risk of developing serious flu-related complications.- Developed in collaboration with leading Israeli HMO Maccabi Healthcare Services, the implementation utilizes existing EHR data to identify and stratify patients at high risk.Medial EarlySign, a Israeli-based provider of machine learning-based solutions to aid in the early detection and prevention of high-burden
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Geisinger, Medial EarlySign Advances to First Stage of CMS AI Health Outcomes Challenge
- Geisinger Health was recently named by the Centers for Medicare & Medicaid Services among the 25 candidates advancing to the first stage of its AI Health Outcomes challenge.- The CMS AI Health Outcomes challenge provides innovators with the opportunity to demonstrate how AI tools may be implemented to predict health outcomes and keep patients healthy in hopes of more AI tools being considered for potential use in CMS Innovation Center payment and service delivery models. Geisinger, an
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Machine Learning Algorithm Can Predict Which Cardiac Patients Are High-Risk Post Discharge
- New Mayo Clinic peer-reviewed study shows Medial EarlySign’s machine learning algorithm can predict which cardiac patients are at high-risk following discharge.
- The analysis was based on electronic health records (EHR), demographics, and social data collected from a cohort of 11,709 unique Mayo Clinic patients who underwent 14,349 PCIs during 14,024 hospital admissions.
- The study suggests AI solution can be more effective than traditional models to identify patients at risk of
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Geisinger Selects EarlySign to Apply AI Algorithms to Identify Patients At Risk of Lower GI Disorders
Geisinger Health System announced it is partnering with machine learning solution provider EarlySign to develop AI-based solutions to identify individuals at risk of a range of chronic and high-burden diseases. The multi-year agreement will begin by deploying EarlySign’s LGI Flag through Geisinger’s Steele Institute for Health Innovation – to identify patients at risk of lower gastrointestinal conditions – including colorectal cancer and precancerous adenomas. This partnership follows the
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Can AI Transform Patient Care from Reactive Craft to Strategic Art?
Personalized Analytics is becoming essential in healthcare, stemming from the movement from fee-for-service to a value-based market. The need to preempt and prevent disease on a more personal level, rather than merely reacting to symptoms, has created a significant opportunity for machine learning-based applications. This “analytics of one” approach (using advanced mathematical models and artificial intelligence techniques) is already impacting several key areas:
1. Medical imaging is utilizing
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Health AI Startup Medial EarlySign Lands $30M for Personalized Disease Management
Medial EarlySign, an Israeli-based provider of machine-learning based solutions to improve patient management and non-communicable disease management has raised $30 million in Series B funding led by aMoon Fund. The latest round brings the startup’s total funding, to date, to $50 million.The funding will further the use of EarlySign’s AI solutions, which leverage basic electronic health records to identify individuals at high risk of harboring or developing life-threatening diseases, helping
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