What You Should Know:
- The Family Heart Foundation, a leader in cardiovascular research and advocacy, has unveiled an "FIND Lp(a)" a machine learning model to combat premature heart disease and stroke. The first-of-its-kind offering is set to be implemented across major U.S. healthcare systems.
- The program leverages AI to identify individuals with elevated Lp(a), an inherited condition that significantly increases cardiovascular disease risk.
Addressing a Hidden Risk
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Machine Learning in Healthcare | ML News, Analysis, Insights - HIT Consultant
Improving Healthcare for Patients & Providers Through AI & Machine Learning
With many economic hurdles this year including rising costs and inflation, the healthcare industry has had a challenging backdrop in which to operate. In a sector dedicated to improving and saving lives, healthcare has so much to gain by adopting new AI and machine learning (ML) technologies. The World Economic Forum sums up the transformative potential of AI and ML in this setting: from propelling the development of drugs and vaccines to improving medical diagnosis and treatment, it can
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Amidst AI Promise, Health Information Workforce Shortages Persist: AHIMA Survey Revels
What You Should Know:
- A new survey conducted by AHIMA reveals that 66% of health information (HI) professionals have experienced ongoing staffing shortages in their workplaces over the past two years. These shortages were notably prevalent in areas such as data quality, consumer health information, revenue cycle management, privacy, risk, and compliance, and data analytics.
- The report, “Health Information Workforce: Survey Results on Workforce Challenges and the Role of Emerging
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Automation Fills Gaps Left by Revenue Cycle Talent Shortage
Healthcare providers are feeling the industry’s talent shortage in their administrative functions as well as clinical areas. One case in point: revenue cycle management. In a recent study, 63% of healthcare providers reported an inability to fill key revenue management roles. Reduced revenues and cash reserves are almost inevitable when providers don’t have sufficient staff to follow up on claims, manage appeals and help patients understand their financial responsibilities and
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CipherHealth Launches AI Initiative with Google Cloud for Hospital Operations
What You Should Know:
- CipherHealth, a provider of patient-centered engagement launches a new strategic initiative to leverage Google Cloud’s Vertex AI platform to revolutionize hospital operations and patient care.
- CipherHealth is building, training, deploying, and managing machine learning and AI models across products and across the spectrum of care.
Google Cloud's Vertex AI to Accelerate Development of AI and Machine Learning Models
CipherHealth selected Google Cloud to
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Mitigating Serious Fall Risks and Associated Costs and Injuries with AI-Driven Motion Sensor Technology
Functional balance is a critical health metric. One-quarter of seniors – about 36 million – will fall each year in the U.S. and more than 36,000 of them will die as a result. That translates into one fall every second of every day. The problem is growing, as fall-related deaths among seniors in the U.S. have more than doubled over the past 20 years, according to a research letter in JAMA Open.
It is also an expensive problem. According to a study in the Journal of the American Geriatric
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BARDA, Evidation Expand Partnership for Early Detection of Influenza-like Illness Using Wearables
What You Should Know:
- Evidation has been awarded a contract by the Biomedical Advanced Research and Development Authority (BARDA), part of the Administration for Strategic Preparedness and Response within the U.S. Department of Health and Human Services (HHS), to fund the 2023 Influenza-like Illness (ILI) Detect & Protect Studies.
- This contract will also fund research to expand and better understand the potential impact of Evidation’s FluSmart program to encourage protective
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Automation Fills Gaps Left by Revenue Cycle Talent Shortage
Healthcare providers are feeling the industry’s talent shortage in their administrative functions as well as clinical areas. One case in point: revenue cycle management. In a recent study, 63% of healthcare providers reported an inability to fill key revenue management roles. Reduced revenues and cash reserves are almost inevitable when providers don’t have sufficient staff to follow up on claims, manage appeals and help patients understand their financial responsibilities and
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The Self-Driving Clinical Trial: Optimizing Research with AI and ML
The power and potential of artificial intelligence (AI) and machine learning (ML) in the healthcare industry are unparalleled. The use of automated technology systems like digital workflows, orchestration and storing of data digitally is helping to shape their application, enabling far greater personalization of treatment for patients and greater efficiency and speed of clinical trials.
As the amount of health data increases, the possibility of establishing a self-driving clinical trial is
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AWS, Allen Institute to Map Whole Human Brain to Advance Treatment for Brain Disorders
What You Should Know:
AWS and Allen Institute for Brain Science are collaborating on a five-year project to create the largest open source database of brain cell data in the world named the Brain Knowledge Platform (BKP). The strategic global collaboration for the U.S. National Institutes of Health (NIH) BRAIN Initiative Cell Atlas Network (BICAN) with participation from 17 other institutions around the globe including MIT and Princeton will pinpoint precisely why diseases like
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