The announcement in September 2022 that the health tech company Iodine Software was entering into a partnership with the software platform TruCode “to upend clinical administration using artificial intelligence” serves as one of the more recent reminders of AI’s considerable impact on the healthcare sector. Certainly, it will be felt not just in the administrative realm, but also in the clinical and operational aspects as well. And given the challenges presented by a rapidly aging population,
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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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AI Improving the Patient Experience of Cancer Care
For cancer patients and their loved ones, days, weeks, and months matter. In fact, anyone who has waited anxiously for test results or a treatment regimen to begin can attest that hours, or even minutes, will drag on with emotional heaviness. From a clinical standpoint as well, time to treatment significantly impacts outcomes. All suspected cancers should be ruled out or confirmed with a diagnosis so treatment can begin as soon as possible. Similarly, patients with incidental findings—masses or
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Using Data Analytics to Address Social Determinants of Health
Americans might run on Dunkin’ — but the healthcare industry runs on data, specifically structured and unstructured data. Easily aggregated and translated into numbers for analysis, structured data lives in databases and on spreadsheets. Unstructured data, on the other hand, is more complex. You can’t use conventional tools to process or analyze it. Yet while it’s messy and hard to organize, it’s incredibly valuable. And one type of unstructured data is human conversations, including
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Digital Fax Solutions Alleviate Administrative Burden and Reduce Costs
At the LeadingAge Illinois 2022 Annual Meeting, Elizabeth McLaren, VP of Reimbursement and Community-Based Services, along with Steven Wermuth, MPA at Strategic Health Care, presented their analysis on the top billing mistakes. What did they find? Within long-term care providers, 8-10% of Medicare Advantage claims were denied. Shockingly, the 10% denial rate impacted revenue by $200 million! They also found that 80% of denied claims are due to missing or incorrect information used during intake
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eClinicalWorks Invests $100M in Microsoft Azure
What You Should Know: - McKinsey reports that cloud capabilities have the potential to generate a value of $100 billion to $170 billion for healthcare companies in 2030. The cloud enables healthcare companies to innovate, digitize and realize their strategic goals. - eClinicalWorks is currently investing over $100M in Microsoft Azure cloud services to accelerate innovations in digital healthcare. Technological Solutions For Improving Patient Care and Health
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Harnessing Healthcare Data: How the Right Low-Code Solution Empowers Clinicians & Improves Patient Experience
The healthcare industry has been slowly adopting new technology solutions to improve efficiency and patient care, but it’s still largely known for paper-based processes, and for having massive amounts of data1. To make matters worse, it’s estimated that 80% of the data in the healthcare industry is unstructured, in the form of discharge summaries, medical images, and clinical notes.2 Even though the industry has started to adopt technology tools to get better insights and
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Digital Front Doors Create Personalized Patient Experience
Heightened patient expectations are changing the way healthcare services are delivered, from the way patients receive care to the way they pay for services and manage their conditions. A need for greater patient-centricity is changing the way payers, providers, and healthcare services organizations do business. The digital front door is an ecosystem of technologies patients use to engage with healthcare, starting from when they detect symptoms, to when they pay or receive post-appointment care.
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What is the Potential for Digital Twins in Healthcare?
Digital twins are virtual representations of an object or system that spans its lifecycle, is updated from real-time data, and use simulation, machine learning and reasoning to help decision-making (IBM). In most cases, this helps data scientists understand how products are operating in production environments and anticipate how they may behave overtime. But what happens when a digital twin is that of a human being? By using digital twins to model a person, you can use technologies like
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