Codio

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CODIO is an AI-powered Medical Coding Assistant designed to enhance the accuracy and efficiency of medical coding, leading to reduced claim denials and increased revenue.

How CODIO can help you:

Significantly reduces the chances of claim denials.
Increases revenue through enhanced coding accuracy and efficiency.
Supports all medical specialties and is 100% HIPAA compliant.
Provides intelligent code suggestions with expert medical coder verification.
Reduces coder burnout by eliminating tedious data entry and offering quick turnaround times.

Why choose CODIO: Key features

Up to 45% faster coding processes.
Up to 85% more accurate than traditional coding methods.
Expert validation for improved claim accuracy.
AI-powered efficiency reducing the need for manual data entry.
Supports all specialties and ensures HIPAA compliance.
Less than 24 hours turnaround time for coding tasks.

Who should choose CODIO:

Healthcare organizations looking to reduce claim denials.
Medical coding professionals seeking to increase their productivity and reduce burnout.
Medical practices of all specialties aiming for a more robust revenue cycle.

About Codio

Website

https://medicodio.com

Release Date

March 2024

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This free tool uses AI to appeal insurance denials -- which may have be denied by AI

A Silicon Valley software engineer is leveraging her technological expertise to help patients use AI to fight back against health insurance claim denials -- some of which may have been driven by AI themselves. Holden Karau built FightHealthInsurance.com, a free website that helps patients draft appeals for denied insurance claims, following her own experiences dealing with claim denials. "I would say experiencing the American health care system as a trans person, you get to experience a lot of health insurance denials," Karau told Quartz, adding that she also suffered injuries when she was struck by a car. "That gave me a motivation to think about this problem." Karau, originally from Canada, has working with data and machine learning at some of the world's biggest tech companies -- including Amazon (AMZN-0.37%), Google (GOOGL-1.02%), Apple (AAPL-0.13%), and Netflix (NFLX-0.45%) -- for over 10 years. During a conversation with a colleague, she came up with the idea of using the tools she works with every day "to make access to healthcare better." Although Karau says she loves paperwork, she's seen how it can been used to deny people care, which inspired her to use generative AI to make appealing denials easier for patients. The platform has been gaining increased attention in recent weeks after the fatal shooting of UnitedHealthcare (UNH+1.70%) CEO Brian Thompson in December put a renewed spotlight on health insurers and their business practices. Public scrutiny has especially been focused on the companies' alleged use of AI in evaluating claims. Karau hopes her website can level the playing field. She highlights that insurers have a major advantage over patients -- and even doctors -- because they have access to vast amounts of data, which allows them to harness powerful AI tools. "Imagine that you're going up against someone that's allowed to use computers, and you're only allowed to use typewriters," Karau said. "Of course, the person who has computers is going to be able to just bury you in paperwork." Recent lawsuits and government reports have shed some light on the ways health insurers are using AI to evaluate claims. In October, a report from the U.S. Senate Permanent Subcommittee on Investigations showed that the nation's insurers have been using AI-powered tools to deny some claims from Medicare Advantage plan subscribers. The report found that UnitedHealthcare's denial rate for post-acute care -- health care needed to transition people out of hospitals and back into their homes -- for people with Medicare Advantage plans rose to 22.7% in 2022, from 10.9% in 2020. The rise coincided with UnitedHealthcare's implementation of an AI model called nH Predict, originally developed by naviHealth, a subsidiary of UnitedHealth Group that has since rebranded. Algorithms like nH Predict can analyze millions of data points to generate predictions and recommendations by comparing patients to others with apparently similar characteristics, according to a study published last year. However, the study cautions that claims of enhanced accuracy through advanced computational methods are often exaggerated. Both UnitedHealth and Humana are currently facing lawsuits over their use of nH Predict. The suits allege that insurers pressured case managers to follow the algorithm's length-of-stay recommendations, even when clinicians and families objected. One lawsuit filed last year against UnitedHealth claims that 90% of the algorithm's recommendations are reversed on appeal. Fight Health Insurance was designed to simplify the process of appealing claim denials. Users can visit the platform and upload their insurance denial. Once the denial is processed, the system analyzes the information and identifies the procedure that was denied and the reason given by the insurance company, asking users to confirm or correct any errors. After verifying various details, users can also upload supporting documents like health records or insurance plan documents, though the system can operate without them. Once the process is complete, the platform generates multiple appeal drafts, allowing users to select the one that best fits their needs and make additional edits if needed. Appeals can then be printed and mailed by the user or faxed directly through the platform for a $5 fee, a feature introduced in response to feedback from users lacking access to printers or fax machines. Karau also has plans to develop a future version tailored for doctors and other medical professionals. Karau says she's heard from many patients who have been able to use the platform successfully. "Most recently, I remember a woman who rides motorcycles. She was able to get her back surgery approved after it was initially denied, and she'll probably be able to start riding again later this year," Karau said. Karau hopes that ventures like hers can bring about improvements in the U.S. healthcare system. She said she believes meaningful change is possible if health insurance companies face real consequences for unjustifiably denying patient care. "I think that there could be some significant changes if we can make it more expensive for them to deny care," Karau said. "One of the ways is appealing these denials."

Quartz

Thu, 9 Jan, 12:23 PM UTC

Overcharged patients enlist AI to slash medical bills : 'This is...

Fed-up patients facing astronomical medical bills are fighting back against hospitals and insurance companies with a secret weapon: artificial intelligence. Alicia Bittle gave birth to her youngest son in August, but rushed him to the emergency room just three weeks later after the infant developed a fever and respiratory illness. The stay-at-home mom and "trad wife" who raises her brood on a homestead farm with her husband, spent a grueling two nights in the hospital, where her newborn got a spinal tap, antibiotic and antiviral meds, and a slew of tests before ultimately being diagnosed with Covid. Then Bittle, who also writes part time for the conservative women's publication Evie Magazine, got an eye-popping bill. The hospital, which Bittle declined to identify, charged the 31-year-old mom of four $14,017.62, leaving her on the hook for a $1,000 copay. "I'm convinced hospitals charge such crazy, arbitrary amounts so that when you get your co-pay amount from your insurance you're not angry that you have to shell out $1,000 -- you're relieved you don't have to pay $14,000," Bittle wrote on X of the ordeal. Incensed, she decided to run her itemized hospital bill through Grok, the Elon Musk-owned generative AI chatbot, asking it to analyze the rate for each line item. Nearly all the charges on Bittle's bill were in excess of state and national averages, according to the bot, which provided the links to prove it. Compared to national averages -- Bittle said only that she lives in a rural Southern state -- Grok estimated the bill should've been half what the hospital charged. The bulk of the bill wasn't the lab tests or antibiotic treatments, but the room and board and emergency room fees.The hospital charged Bittle nearly $7,000 for two nights in the hospital, which the billing department coded "all inclusive room and board," she told The Post. According to Grok, a $3,000-plus daily room rate is unusually high, with a more typical rate costing between $1,000 to $2,000. Grok also flagged Bittle's $2,261 emergency room fee. Noting these can vary widely, Grok determined a reasonable price range should be between $500 and $1,500. No one at the hospital's billing department could explain the exorbitant room rates, or why her "all inclusive" stay -- complete with a bed and plastic chair -- was so pricey, she said. "I finally talked with a guy who seemed to know what was what, but I asked for specifics and he wasn't able to provide any," Bittle told The Post. After days of haggling with various hospital reps, Bittle eventually learned that her family qualified for the hospital's financial aid program based on their income and family size -- a fact she wouldn't have stumbled upon without taking up her AI-fueled crusade. While her son recovered, Bittle hopes sharing her experience will help others facing outrageous healthcare costs. "This is theft," she said of her inflated hospital bills. "I'm hopeful AI can change how medical billing and insurance is done, and give the American people the transparency we deserve." At least one new company is setting out to do just that. OpenHand is a medical healthcare startup touting itself as the AI ally for medical bills, giving patients the tools to identify billing errors and dispute unreasonable costs. The NYC-based company launched in August, but hasn't yet determined when their services will be open to the public. For now, patients can request early access through a form on their website. Once users create a profile, they can upload their medical bills to the site, where OpenHand's AI tool then analyzes the bills to identify errors. The bot will even negotiate with providers on patients' behalf if they opt not to do the haggling themselves. Natalie Hayden is a patient advocate for those who suffer from inflammatory bowel disease, and called tools like OpenHand a lifeline for people living with chronic illness. "A lot of IBS patients struggle with costly medical bills, and their program finds discrepancies that you wouldn't think to double check," Hayden told The Post. Patients aren't the only ones using AI to their advantage -- doctors are also reaping the benefits, leveraging the high-tech smarts to push back on insurance companies when denials leave them with uncollectible debts. Bryan Rotella is an attorney whose practice specializes in artificial intelligence. He's helping doctors counter claim denials with tools like ChatGPT, which predict the language most likely to lead to a successful appeal. "AI can be a game-changer for one of the biggest frustrations in the doctor-patient relationship, which is insurance companies denying care and leaving doctors feeling they have no tools to help," Rotella told The Post.

New York Post

Sat, 8 Mar, 6:06 PM UTC

Ambience Healthcare's OpenAI-Powered Medical Coding Model Outperforms Physicians by 27%

Ambience Healthcare has developed an AI model using OpenAI's technology that surpasses doctors in medical coding accuracy by 27%, potentially revolutionizing healthcare administration and improving efficiency.

2 Sources

Wed, 28 May, 8:03 AM UTC

Cardio Diagnostics Holdings Inc. Launches CDIO.AI, A Redesigned Website Enhancing User Experience and Highlighting Our AI-Driven Cardiovascular Solutions

Cardio Diagnostics Holdings, Inc. (NASDAQ: CDIO), a leader in AI-powered precision cardiovascular medicine, today announced the launch of its redesigned website at CDIO.AI. This new site emphasizes the Company's AI-first approach and innovative scalable solutions for the prevention, detection and management of cardiovascular disease, which is the leading cause of death globally. This site also streamlines access to critical information and resources for investors, partners, patients, providers, and other key stakeholders. The redesigned website provides a significantly enhanced user experience, ensuring that each stakeholder group can easily navigate and find relevant information. Investors will find streamlined access to financial reports, stock information, and corporate governance details. Patients can access clear, concise information about Cardio Diagnostics' tests and how to obtain them, while healthcare providers benefit from simplified resources for ordering tests and interpreting results. The site also features dedicated content for payers and employers, outlining the value proposition of Cardio Diagnostics' solutions for population health management, improving outcomes, and reducing costs as well as information for researchers and pharmaceutical companies on collaboration opportunities. Cardio Diagnostics' redesigned website, CDIO.AI, highlights three core solutions, among others, which exemplify the Company's AI-driven approach to cardiovascular care. The Epi+Gen CHD test is an AI-driven test that assesses the three-year risk for a coronary heart disease event, including a heart attack. By analyzing a panel of genetic and epigenetic biomarkers, this test offers a highly sensitive and accessible method for earlier heart attack risk prediction. The PrecisionCHD test combines epigenetics, genetics, and artificial intelligence to detect coronary heart disease, and to manage ongoing stable ischemic heart disease, addressing the limitations of traditional detection methods and providing a more accessible and highly sensitive diagnostic tool for coronary heart disease. The Actionable Clinical Intelligence (ACI) platform integrates the results of these tests with a patient's unique biomarkers and clinical information, delivering deeper, actionable insights to clinicians. This enables personalized, data-driven decisions for heart disease management and prevention, ultimately improving patient outcomes and reducing healthcare costs. AI-First By emphasizing AI-driven innovation and improving the user journey for all stakeholders, the redesigned website clarifies Cardio Diagnostics' position as a leader in the future of precision cardiovascular medicine. The site now better reflects the company's mission to transform cardiovascular care through AI-driven precision diagnostics and personalized prevention strategies, ultimately improving patient outcomes and reducing healthcare costs. Tim Dogan, Ph.D., Chief Technology Officer and a member of the founding team, commented on the launch: "The new CDIO.AI website is a testament to our commitment to innovation and user-centric design. As the architect of our AI solutions, I am proud to see our vision come to life in a way that makes our advanced technologies more accessible and understandable to all stakeholders. This new site not only highlights our technological capabilities but also underscores our dedication to improving cardiovascular health through precision medicine." The new website also features a resource center, offering a library of educational materials, scientific publications, and solutions documents. Healthcare providers will find a streamlined test ordering process, allowing them to easily order the Epi+Gen CHD and PrecisionCHD tests, ensuring quick and efficient access to these groundbreaking solutions. For investors, the site includes a dedicated investor relations portal, providing easy access to financial information, SEC filings, and shareholder resources, making it simpler for investors to stay informed about the Company's progress. Meesha Dogan, Ph.D., CEO and Co-Founder of Cardio Diagnostics, expressed her enthusiasm for the new website: "Our new website at CDIO.AI is a clear statement of our identity as an AI-first precision medicine company, dedicated to harnessing the power of artificial intelligence to transform cardiovascular health outcomes. We've reimagined our digital presence to not only showcase our AI-driven solutions but also to provide a seamless experience for everyone interacting with our brand." About Cardio Diagnostics Cardio Diagnostics is an artificial intelligence-powered precision cardiovascular medicine company that makes cardiovascular disease prevention, detection, and management more accessible, personalized, and precise. The Company was formed to further develop and commercialize clinical tests by leveraging a proprietary Artificial Intelligence (AI)-driven Integrated Genetic-Epigenetic Engine ("Core Technology") for cardiovascular disease to become one of the leading medical technology companies for improving prevention, detection, and treatment of cardiovascular disease. For more information, please visit www.CDIO.AI. Forward-Looking Statements Certain statements and information included in this press release constitute "forward-looking statements" within the meaning of the Private Securities Litigation Act of 1995. When used in this press release, the words or phrases "will", "will likely result," "expected to," "will continue," "anticipated," "estimate," "projected," "intend," "goal," or similar expressions are intended to identify "forward-looking statements" within the meaning of the Private Securities Litigation Reform Act of 1995. Such statements are subject to certain risks, known and unknown, and uncertainties, many of which are beyond the control of the Company. Such uncertainties and risks include but are not limited to, our ability to successfully execute our growth strategy, changes in laws or regulations, economic conditions, dependence on results are discussed in the Current Report on Form 10-K for the period ended in December 31, 2023 and Form 10-Q for the period ended in March 31, 2024, under the heading "Risk Factors" in Part I, Item IA thereof, and other documents filed from time to time with the Securities and Exchange Commission. Such factors could materially adversely affect the Company's financial performance and could cause the Company's actual results for future periods to differ materially from any opinions or statements expressed within this press release.

Market Screener

Mon, 29 Jul, 2:03 PM UTC

Exploring AI-Based Clinical Documentation With DAX Copilot

Disclosure: Arturo Loaiza-Bonilla, MD, MSEd, has disclosed the following relevant financial relationships: Serve(d) as a consultant for: Verify; PSI CRO; Bayer; AstraZeneca; Cardinal Health; BrightInsight; The Lynx Group; Fresenius; Pfizer; Ipsen; Guardant Serve(d) as a speaker or a member of a speakers bureau for: Amgen; Guardant; Eisai; Ipsen; Natera; Merck; Bristol Myers Squibb; AstraZeneca Have a 5% or greater equity interest in: Massive Bio In this continuation of our exploration into AI-based clinical documentation, we will dive deeper into the specifics and benefits of Nuance's Dragon Ambient eXperience (DAX) Copilot, based on my discussion with Kenneth Harper, vice president and general manager at Nuance. Many of us utilize Dragon for dictation, but have you thought of it being automated by using AI algorithms? DAX Copilot discreetly captures and converts patient encounters into structured clinical summaries, allowing physicians to concentrate on patients without the distraction of paperwork. This shift from traditional manual methods to ambient AI-driven solutions marks a key advancement in clinical documentation and aligns with a growing need for efficiency in healthcare. DAX Copilot also helps to address the crucial issue of clinician burnout by automating documentation processes. This reduces administrative burden, giving back valuable time to clinicians and contributing to a better work-life balance, which in turn enhances patient care. DAX Copilot's integration with existing electronic health record (EHR) systems, including Epic, is designed to complement and streamline clinical workflows. This smooth integration offers increased data accuracy and overall efficiency in healthcare practices, making documentation more seamless and improving its quality. According to Nuance, DAX Copilot and Epic are designed to be intuitive and require straightforward training. Hopefully, healthcare professionals can quickly learn to use the system effectively, ensuring its practicality in diverse healthcare settings. A notable impact of DAX Copilot is the enhancement of patient-physician interactions. With documentation being handled in the background, physicians can engage more directly with patients, leading to improved patient experiences and care quality. Harper emphasized Nuance's commitment to maintaining the highest standards of data security and Health Insurance Portability and Accountability Act compliance in its AI solutions, ensuring protection of sensitive patient data. Nuance and Microsoft are collaborating in the use of AI and cloud capabilities to enhance DAX Copilot and other solutions, thereby advancing AI technologies in healthcare. Case studies demonstrate the effectiveness of DAX Copilot in improving healthcare delivery and outcomes. For example, a pilot implementation in a urology practice showed a significant increase in encounters completed the same day and substantial time savings for physicians, allowing for more attention to patient conversations and less mental fatigue. Nuance is continually evolving DAX Copilot, focusing on advanced AI capabilities and further customization to meet the specific needs of various clinical fields. In complex specialties such as oncology, it captures detailed conversations and treatment plans effectively. Although the cost of implementing DAX Copilot varies, the return on investment is substantial in terms of time savings, reduced burnout, and improved patient care. For example, implementation at University of Michigan Health-West showed increased patient throughput and significant return on investment with more relative value units per month. Returning to Stuart Blitz's concept, we are on the cusp of a healthcare revolution, and AI-based clinical documentation is the low-hanging fruit promising a future where physicians can dedicate more time to patient care, thus enhancing the overall healthcare experience. Innovators such as Hemant Taneja and his firm General Catalyst are working toward value-based, technology-driven health systems, as outlined in their recent acquisition of Ohio-based Summa Health. This approach aligns with the vision of reducing charting burdens and shifting focus to patient care. In the next column, I will continue to explore the advancements in AI in healthcare. Your insights and experiences are invaluable; share them at Arturo.AI.MedTech@gmail.com or on X @DrBonillaOnc. Neither Loaiza-Bonilla nor Medscape/WebMD endorse products mentioned in this article, nor do they receive financial compensation from the companies that manufacture them.

Medscape

Tue, 8 Oct, 6:12 PM UTC

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