The early 2020s will be studied by historians as a time of global uncertainty when an unknown pathogen caused a public health emergency that brought the world to the brink.
It may also be remembered as a time of unparalleled cooperation and advancement in technologies, prompted by the Covid pandemic, that provided enduring benefits for generations to come.
Just as the two world wars of the 20th Century were the deadliest and most attritional in history, they also triggered developments in
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Healthcare Algorithms | News, Analysis, Insights - HIT Consultant
Prior Authorization Reforms Don’t Address the Real Problem. Here’s How AI Can Help.
After waiting weeks for an open appointment, John finally gets in to see the orthopedic surgeon to evaluate his acute knee pain. He’s already been off work for over two months and has barely been able to leave the house, popping anti-inflammatory and pain medicine to manage the pain every day.
Suspecting a torn meniscus, the doctor orders an MRI to verify the diagnosis and plan his treatment approach. The nurse begins the process by calling John’s insurance carrier to verify coverage,
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Quantum Algorithms for Healthcare
The field of computational life sciences can and should invest in the development of quantum algorithms today to take advantage of the near-term improvements and long-term transformational potential of quantum technology.
Advancements in technology have always driven breakthroughs in medicine. Robert Hooke’s detailed drawings of cells relied on his compound microscope, and the development of the COVID-19 vaccine hinged on genetic research powered by computers. The arrival of quantum
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HLTH22: COTA and Google Partner to Use NLP to Harness Unstructured Oncology Data
What You Should Know:
COTA, Inc., an oncology real-world data and analytics company announced a partnership with Google Cloud to bring clarity to unstructured oncology data through the latest advancements in machine learning and natural language processing.
- Many leading real-world data companies - including COTA - leverage clinicians to manually curate oncology real-world data. While this is a reliable and trusted near-term solution to overcoming the challenges associated with
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5 Factors to Consider When Developing a Health Data Platform
The conversation around whether a healthcare startup should build a data platform or buy one isn’t anything new. In fact, this has been a debate since cloud-based technologies rose to popularity—we’re just now seeing more startups enter the space and opt to build their platforms internally.
Startups choose to build their data platforms for several compelling reasons. For example, it could give them greater control over their data security and architecture or they feel they know their data
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3 Questions Healthcare IT Leaders Should Ask Before Implementing AI in Their Operations
Artificial intelligence (AI) and automation are no longer nice-to-have technologies for healthcare providers. They are mission-critical tools for addressing significant challenges many health systems and hospitals face today — from volatile patient volumes to ballooning labor costs and staffing shortages to low operating margins. Many of these challenges are macro-level economic trends that will continue to prevail for the foreseeable future.
According to research from Kaufman Hall,
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AI ‘s Role in Drug Discovery: Separating the Hype from the Hope
Forecasting the influence that artificial intelligence (AI)/machine learning technologies will have on the future of healthcare has created a cottage industry in the hype. From the overzealous aspirations of IBM’s Watson Health initiative to the inclusion of AI on Gartner’s 2021 Hype Cycle at the “Peak of Inflated Expectations,” so much noise has been made around AI/machine learning in healthcare that it can be difficult to appreciate the current impact of these technologies on drug discovery,
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Numares Health & Mayo Clinic Expands AI-Enabled Diagnostic Testing Collaboration
What You Should Know:
- Mayo Clinic and Numares Health have expanded their collaboration recently to develop AI-enabled diagnostic testing that is more accurate and reliable than current U.S. tests for patients with chronic diseases, including kidney, cardiovascular, liver and neurologic conditions.
- The expanded collaboration builds on Mayo Clinic's clinical research support for Numares Health to include an innovative convertible equity investment.
AI-Enabled
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Evidation Launches FluSmart to Better Identity & Understand Flu Early
What You Should Know:
Evidation, the company that connects directly with individuals to measure health in everyday life, has launched FluSmart, a digital flu monitoring program that brings together individuals, researchers, and public and private organizations to understand flu at its earliest stages.
Evidation has developed machine learning detection models to compare flu and COVID and validated and extended this work with collaborators. Evidation will use permissioned data from
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The Gains and Pains of Using AI in the Pharmaceutical Industry
The costs for drug discovery and development are skyrocketing, but AI (artificial intelligence) is introducing new efficiencies to help find effective treatments faster.
A study in 2020 concluded that the estimated median capitalized research and development cost per product was $985 million. Contributing factors to this included larger trial sizes, the need to assess health technology, the requirement to provide data on comparative drugs’ effectiveness, and most
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