Doximity’s Post

Congratulations to Doximity GPT on this remarkable achievement! The feature in The New York Times underscores the transformative potential of AI in healthcare. Azlan Tariq, D.O., FAAPMR, CIME's experience is a compelling testament to how technology can streamline administrative tasks and enhance efficiency. The substantial increase in approval rates and the significant reduction in time spent on prior authorizations highlight the practical benefits of integrating AI into clinical workflows. As the healthcare industry continues to evolve, innovations like Doximity GPT are crucial in addressing the administrative burdens that often impede patient care. This is a significant step forward in leveraging AI to not only support physicians but also improve patient outcomes. Kudos to the Doximity team for leading the way in AI adoption and setting a new standard for operational excellence in healthcare. For those interested in the full story, I highly recommend reading Teddy Rosenbluth's article in The New York Times. It’s an insightful read on how Doximity GPT is shaping the future of healthcare. #HealthcareInnovation #DigitalHealth #AIForefront #PhysicianSupport #OperationalExcellence Doximity

In a rapidly evolving healthcare landscape, the integration of artificial intelligence (AI) into clinical decision-making is both a promise and a challenge. This recent NY Times-Breaking News article highlights the growing role of #AI in assisting doctors and insurers, underscoring the need for balance between technological advancement and human expertise. According to a recent study completed by the American Medical Association, doctors and their staff spend an average of 12 hours a week submitting prior-authorization requests, a process widely considered burdensome and detrimental to patient health among physicians. At Premier Inc., we are committed to helping our members leverage AI to enhance patient outcomes while ensuring that the invaluable judgment of healthcare professionals remains at the forefront. Our approach is to harness AI to support, not replace, the critical decision-making processes that impact patient care. It is also crucial that federal regulators leverage the technology pathways that already exist to streamline prior authorization as soon as possible, rather than waiting years for health plans to catch up. With record labor shortages, inflation and other demands in the healthcare sector, it is more paramount than ever that providers are able to utilize technology to create efficiencies. By fostering collaboration among stakeholders, including clinicians, insurers, and technologists, we can ensure that AI serves as a powerful tool to improve healthcare delivery. Check out the full article below. https://lnkd.in/eiHc27v2

Fascinating article about how doctors are using generative AI to support prior authorization documentation and appeals. Do you think the healthcare revenue cycle will become 'AI vs AI-off' the article suggests? https://lnkd.in/gT-BajMQ

The Prior Authorization Battlefield Evolving from the Medieval Era to Full-Blown High-Tech Warfare ⚔️🤖 Some physicians are now leveraging generative AI tools to expedite prior authorization letters, slashing the time spent on this laborious task and improving approval rates. But what happens next? It’s likely that insurers will also harness AI to enhance their denial processes, bringing us into an era where “AI fights AI”. My prediction? Not much will improve—we're just escalating the same conflict but on steroids. And guess who’s going to get hurt the most? Yes, you got it right: patients! 🏥💔 For those who aren’t familiar, “prior authorization” is often the bane of a physician’s existence. 📄😩 Over the years, the list of treatments requiring pre-approval has expanded, and the number of denials has risen. Physicians are burdened by exhaustive documentation demands and spend hours on these tasks, often to the detriment of patient care. 🙄 They hate the prior-auth process, seeing it as a barrier to providing timely and necessary care. Payers (insurance companies) argue that these checks are crucial for cost control. If a procedure or treatment can be provided in a more cost-effective way, shouldn't it be? While both sides tout enhancing patient care as the ultimate goal and advocate for a collaborative environment between providers and insurers, things are hardly getting better. Why? Because the incentives just don’t align... and this is all over healthcare. If you’re a health-tech innovator, which side of the house do you pick? 🤷♂️ Are there more collaborative ways of leveraging AI for this? Can we find a balanced approach that genuinely enhances patient care? What are your thoughts? #Healthcare #HealthcareInnovation #AI #PriorAuthorization #PatientCare #HealthTech #InnovationInMedicine #AIinHealthcare

🚨In the past month California Governor Newsom has signed 17 bills covering GenAI. This is the most comprehensive legislative package in the nation for the industry. Newsom, however, vetoed broader sweeping AI legislation. At least 45 states have considered AI legislation in 2024. Newsom signed a pair of health care artificial intelligence laws that require payers using AI tools in coverage decisions to comply with new guardrails and regulate generative AI communications between providers and patients. The bill SB 1120 requires health insurers in California to have physicians or other qualified health-care providers review coverage decisions made by artificial intelligence tools under legislation signed into law Saturday. The bill also requires health insurers that use AI software in the utilization review process to develop written policies to ensure that coverage decisions are based on the medical necessity of treatments and are equitably applied to patients. The bill AB 3030 would require a health facility, clinic, physician’s office, or group practice that uses GenAI to produce certain written or verbal patient communications pertaining to patient clinical information to include a disclaimer that informs the patient that GenAI was used to generate the communication, along with instructions on how the patient may contact a human health care provider or employee of the practice. #GenAI #transparency #payers #providers #healthcareonlinkedin

“Dr. Tariq said Doximity GPT, a HIPAA-compliant version of the chatbot, had halved the time he spent on prior authorizations. Maybe more important, he said, the tool — which draws from his patient’s medical records and the insurer’s coverage requirements — has made his letters more successful. Since using A.I. to draft prior-authorization requests, he said about 90 percent of his requests for coverage had been approved by insurers, compared with about 10 percent before. Generative A.I. has been particularly useful for doctors at small practices, who might not ordinarily have time to appeal an insurer’s decision — even if they think their patient’s treatment will suffer because of it… Dr. Michael Albert, an obesity medicine specialist in Oklahoma, said A.I. had enabled his small, resource-strapped telehealth practice to go from almost never appealing insurance denials to sending 10 to 20 appeals per week. Now, Dr. Albert said he could “operate at the same level as companies that have essentially infinite resources.” #AI #Artificialintelligence #healthinsurance #chatbot #preauthorizations #generativeai

Terrific article about AI in healthcare. Beyond diagnostic benefits, the greatest value from AI in Provider Healthcare is reducing the crushing administrative burden on clinicians so that they can perform at the top of their license - freeing up their very scarce capacity to deliver more care, to more patients, in their communities.

Although #AI can make doctors' lives easier by automating administrative tasks, assisting with diagnostics, streamlining workflows, and personalizing care, the information and communication to #patients needs to be unquestionable. #AI models must be continuously updated with real-world data, adhere to evidence-based practices, and leave final decision-making in the hands of the clinician. By combining AI’s computational power with human oversight, only then can #AI enhance the efficiency and quality of #patientcare without compromising accuracy.

At Neuro Edge AI, we help clinicians improve their documentation with AI-powered recommendations tailored to insurance compliance. Our system reduces denial rates and enhances the quality of clinical notes, giving providers peace of mind and more time to focus on patient care. See below an example I created with a dummy patient named Katherine. At the very bottom, if our system determines that the notes need more details, it will provide a couple of simple suggestions on how to improve. #AI #Healthcare #MentalHealth #InsuranceCompliance #ClinicalDocumentation #Efficiency

I don't see this trend slowing down anytime soon. AI is a tool, and I think it's a net positive if it means patients will get a timely response. As long as qualified personnel read and approve the AI-drafted message for accuracy and tone, I think it's a net positive. We'd run into problems if AI (and AI-induced errors) are drafted and sent without human involvement. What do you think? #AI #Healthcare