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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NLP
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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3 Barriers Stalling AI Adoption in Revenue Cycle Management
AI technology is quickly evolving and already surpassing human decision-making in certain instances; sometimes, in ways, we can’t explain. While many are alarmed by this, AI is producing some of the most effective and dramatic results in business today. Adoption of AI in healthcare is growing, but there are still barriers to overcome AI can be defined in many ways but, broadly, it is the ability of a machine to perform cognitive functions we associate with human minds, such as
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How NLP Can Uncover Social Determinants of Heart Disease
Heart disease is the leading cause of death for people of most racial and ethnic groups in the United States. Cardiovascular disease-related deaths—which occur every 36 seconds—cost our country about $219 billion each year, according to the Centers for Disease Control and Prevention (CDC). People with poor cardiovascular health are also at increased risk of severe illness from COVID-19, so the time to act is now. There’s no time like the present to look at major risk factors—from obesity and
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UPMC Spinout Astrata Launches NLP Platform to Improve Value-Based Care
What You Should Know: - UPMC spinout company Astrata launches a natural language processing (NLP) technology platform that allows health insurers to more efficiently analyze unstructured clinical data. UPMC Enterprises, the innovation and commercialization arm of UPMC has incubated and launched Astrata, a digital healthcare quality company. Astrata uses advanced analytics and natural language processing (NLP) to improve value-based care. Founded by Rebecca Jacobson, M.D., M.S. Astrata
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Intelligent Automation of the Revenue Cycle: How an Integrated Platform Approach Yields Financial Results
Healthcare provider networks are experiencing enormous pressure to manage financial margins and invest in contactless patient experiences. With overall financial losses projected to exceed $323 billion as a result of COVID-19, a projected $200 billion in administrative waste due to revenue cycle inefficiencies, and increasing pressure to meet digital consumerism demands, it is essential for health systems to find ways to streamline processes, maximize their revenue cycles and cut costs. These
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30 Executives Share Top Healthcare Predictions & Trends to Watch in 2021
As we close out the year, we asked several healthcare executives to share their predictions and trends for 2021. Kimberly Powell, Vice President & General Manager, NVIDIA Healthcare Federated Learning: The clinical community will increase their use of federated learning approaches to build robust AI models across various institutions, geographies, patient demographics, and medical scanners. The sensitivity and selectivity of these models are outperforming AI models
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Innovaccer, SyTrue Partner to Generate Actionable Insights from Healthcare Data
What You Should Know: - Innovaccer partners with SyTrue to uncover powerful insights
and accelerate its efforts to drive healthcare’s digital transformation. - The integration of SyTrue’s proprietary NLP OS with
Innovaccer’s FHIR-enabled Data Activation Platform will empower healthcare
organizations to identify diagnosis codes and Hierarchical Condition Categories
(HCC) from patient care progress notes and other unstructured texts. Innovaccer, Inc., a San
Francisco, CA-based
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NLP is Raising the Bar on Accurate Detection of Adverse Drug Events
Each year, Adverse Drug Events (ADE) account for nearly 700,000 emergency department visits and 100,000 hospitalizations in the US alone. Nearly 5 percent of hospitalized patients experience an ADE, making them one of the most common types of inpatient errors. What’s more, many of these instances are hard to discover because they are never reported. In fact, the median under-reporting rate in one meta-analysis of 37 studies was 94 percent. This is especially problematic given the negative
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