What You Should Know: - Nebraska-based Bluestem Health today announced it has launched an AI-based virtual medical assistant powered by Mediktor. This is available for both established and non-established patients to efficiently assess their symptoms online and direct them to the appropriate level of care. - Mediktor combines AI, Natural Language Processing (NLP) and machine learning technologies for the first clinically validated digital medical assistant, proven in clinical trials with
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NLP
5 Must-Have Features for AI Platforms in RCM
A healthy, stable revenue cycle is crucial to every healthcare organization’s success. However, managing the revenue cycle takes experienced coders, complete documentation, and timely resolution of denials. Administrative processes account for about 30% of U.S. healthcare costs, which means that all areas of a patient encounter, from check-in to billing and claims, are potential targets to obtain greater efficiency. In the past 20 years or so, computer-assisted coding (CAC) has become
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Healthcare AI Transformation: 9 Executive Predictions to Watch in 2023
Piotr Orzechowski, Co-Founder and CEO of Infermedica Innovation areas to watch: One of the exciting areas of applied machine learning recently is so-called Generative Tech. Some say it’s the biggest change to the Internet since crypto was invented. Generative Tech is developing at an unprecedented pace and many of us already had a chance to enjoy images created by OpenAI’s DALLE-E or content generated by GPT-3 language model. However real-world applications of generative tech in health are
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Is AI-Assisted Lung Cancer Diagnosis Right For Your Hospital?
Lung cancer is the leading cause of cancer deaths worldwide, with approximately 1.8 million people dying from this disease each year. Most patients are diagnosed after symptoms have appeared and the disease has progressed to an advanced stage (Stage III or IV), which explains the current worldwide five-year survival rate of just 20 percent. In contrast, the survival rate for small lung tumors that are treated at Stage 1A is as high as 90 percent. This significant difference highlights a critical
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Medical Natural Language Processing Tech Has Come of Age
For many years, natural language processing (NLP) has held the promise of dramatically increasing the ability of healthcare organizations to quickly and accurately understand unstructured medical text in clinical notes. Using medical NLP, healthcare providers, clinical researchers, and payers would uncover meaningful insights hidden in unstructured text faster, with fewer errors, and at less cost than manual data review and analysis. This high-quality medical-grade data in turn would drive
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Why ML Monitoring is Essential to AI Success in Healthcare
Artificial intelligence (AI) adoption in the healthcare sector has grown significantly over the last decade, with no signs of slowing down. According to a 2021 report from HIMSS, 62% of clinicians are interested in using AI/ML tools. From front-line workers to back-office staff, every stakeholder in the healthcare continuum can leverage AI technology to enhance healthcare quality. In fact, ML models are already being used to collect and analyze patient data at scale, thereby allowing
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6 Executive Health Data Predictions to Watch in 2023
Kevin Agatstein, CEO at Kaid Health In 2023 I predict that unstructured medical data, which makes up the majority of a patient’s chart, will become too valuable to ignore by both providers and payers. Driven in part by the growth of Medicare Advantage and oncology, both of which require the data within medical notes rather than just claims and labs data, organizations will start to use their unstructured EMR data in entirely new ways. Rob Cohen, CEO at Bamboo Health In today’s
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Unlock the Full Potential of Inpatient Bed Capacity with AI
Every day, hospital staff do the best they can to navigate the daily chaos of bed management by making educated guesses as to what is going to happen over the course of the day. Relying on team huddles throughout the day, staff pore over Excel or paper spreadsheets to predict how many beds will open up and when. They try to estimate demand for those beds by the time of day, unsure when to deploy “surge capacity.” On some days, this method works out well. However, more often than not, the staff’s
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If You Are Not Using AI for Medical Coding, You Are Not Doing Your Job
A quick, efficient, and well-managed revenue cycle creates a solid foundation for a profitable medical organization. That’s why if you’re responsible for ensuring the health of your organization's revenue cycle and you are not using AI for medical coding, you are not doing your job. Let me explain. Some RCM professionals may see medical coding as a small portion of the revenue cycle; however, its reach is wide. The quality and accuracy of medical coding can either negatively or
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Protecting AI’s Boundless Potential in Healthcare
Artificial intelligence can do amazing things for patients, providers and the healthcare business — but only if the right cyber safeguards are in place. For more than a decade, a cybercrime syndicate known as Evil Corp has tormented organizations around the world with malware and ransomware attacks. And now, it seems, the group has designs on healthcare companies. “Evil Corp should be considered a significant threat to the U.S. health sector,” the Health Sector Cybersecurity
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