Monitoring the safe and effective use of medicines has now been an essential part of public health policy for several decades. New advances in technology (e.g., ICH E2B for the electronic exchange of case reports) over the past 20 years coupled with progressive legislation have been a catalyst for an explosion in safety data over this period.
Since the World Health Organization (WHO) declared the Covid-19 pandemic in March 2020, the rate of reporting of safety data has been unprecedented
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NLP
Sanofi Taps Yseop to Accelerate Medical Writing and Reporting Processes
What You Should Know:
- Yseop, an artificial intelligence (AI) software company and pioneer in Natural Language Processing (NLP), today announced that Sanofi, the global healthcare company, has chosen to scale its natural language generation (NLG) capabilities with Yseop.
- Sanofi will use the platform to accelerate its clinical study submission processes and bring new treatments to patients faster.
- Sanofi plans to continue to expand the use of the Yseop
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Eli Lilly Partners with Yseop to Expedite Drug Approval Process
What You Should Know:
- Eli Lilly and Company partners with Yseop, an AI software company and pioneer in Natural Language Processing (NLP) to deploy Yseop’s world-class enterprise automation platform, Augmented Analyst, to accelerate bringing Lilly’s medicines to patients.
- Yseop’s platform uses Natural Language Generation (NLG) to augment human analysis with automated insights. With Yseop’s powerful AI automation technology, teams can shorten the time spent on specialist medical reports
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Using NLP Technology To Uncover Real-World Patient Insights
It’s estimated that humans create a combined 2.5 quintillion bytes of data each day – and that around 90% of all data to ever exist was created in just the last few years. As difficult as it is to ignore the massive impact that connected technologies and social media have had on the way we experience our world, it’s somehow even more challenging to fully grasp the scale of it. For health researchers, this data explosion – and especially the rise
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HonorHealth Deploys Loyal’s Symptom Checker to Improve Patient Triage/Experience
What You Should Know:
- Phoenix-based HonorHealth has deployed Loyal’s Symptom Checker chatbot solution to assist with patient intake and triage. Symptom Checker leverages machine learning and natural language processing (NLP) to identify which clinical symptoms may be affecting patients – with the ability to handle multiple health conditions and access a clinical database of over 1,200 symptoms, 660+ conditions and 130+ risk
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Next Generation of Risk Adjustment: Uniting Health Plans and Providers
Up until now, risk adjustment has been addressed as a mechanism to accurately represent the overall risk profile of a health plan’s membership. A function that will still facilitate a health plan’s payment for taking on at-risk populations is about to go through its first major transformation – the use of risk adjustment data to drive value-based program initiatives.
Now that the functional aspects
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HIMSS22 Day 2 Roundup: Google Partners with MEDITECH, Microsoft’s Health Cloud Strategy Expansions
Mergers & Acquisitions (M&A) Activity
OptimizeRx Acquires EvinceMed, a Specialty Drug Prescription Initiation Platform
OptimizeRx, a provider of point-of-care technology solutions helping patients start and stay on therapy announced a definitive agreement to acquire the EvinceMed platform and related assets. EvinceMed is a provider in delivering end-to-end automation for specialty pharmaceutical transactions. The acquisition includes the full Market Access Management Platform
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How Health Systems Can Use AI to Optimize Resources and Maximize Patient Satisfaction
Over the past several years, nearly all of the leading health systems in the United States have adopted some form of AI, such as machine learning (ML) or natural language processing (NLP), to assist in managing healthcare operations. The unprecedented growth and development of AI has been instrumental in transforming health system administration, healthcare data analytics and patient diagnosis and treatment.
Despite this growth, health systems have yet to maximize the potential of AI to
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7 Burning Questions from Life Sciences Companies on Using AI Agents
Each day life science companies respond to numerous medical information inquires – many of which are similar in nature or can be simply addressed. However, as we have seen in the news reports with the Great Resignation and many workers searching for new careers, the number of individuals interested in working in a medical information contact center may be waning. When you combine this with the rising volume of inquiries or medical inquiries and patient expectations for a real-time response to
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How Healthcare NLP has Evolved from 2020 to 2021
Few industries have embraced natural language processing (NLP) as openly as healthcare. With the ability to identify new variants of COVID-19 and help speed up clinical trials for the vaccine, the pandemic is just one example of what NLP is capable of achieving. And while new research points to NLP budgets growing significantly across vertical industries, locations, company sizes, and maturity levels, healthcare is leading the pack.
Big strides have been made in AI and NLP over the last year,
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