The New Language of Quality: What AI Is Teaching Us About Documentation
By uncovering patterns in real time, identifying gaps as they emerge, and surfacing insights at the point of care, AI is reshaping how we define and pursue quality.
By uncovering patterns in real time, identifying gaps as they emerge, and surfacing insights at the point of care, AI is reshaping how we define and pursue quality.
Startups in the ambient documentation space are moving beyond simple scribing to tools that can handle tasks like intake, coding and care coordination, according to Heidi Health CEO Tom Kelly. Standing out in this crowded market is a challenge, and companies’ success will hinge on creating products clinicians actually want to use, he added.
Documentation gaps can quietly undermine everything from how your organization is publicly rated, to how they are reimbursed, to how payers evaluate your performance, leading to weaker negotiating power, and decreased ability to recruit top talent or attract patients.
Cedars-Sinai is rolling out Regard’s documentation platform to help hospital physicians manage complex patient charts. The tool synthesizes data, surfaces potential missed diagnoses and drafts clinical notes — all with the goals of decreasing administrative burden and allowing physicians to focus more on their patients.
Just as Google and Amazon expanded far beyond their initial offerings, successful healthcare AI companies must evolve into comprehensive platforms that address both clinical and operational challenges.
Idaho-based health system St. Luke’s is rolling out Ambience Healthcare’s AI platform across its enterprise following a successful pilot. The AI-powered scribing tool decreased clinicians’ documentation time by 39%.
In an interview, Munich Re Specialty Senior Vice President Jim Craig talked about the risk that accompanies innovation and the important role that insurers play.
Reducing diagnostic error is a significant part of healthcare organizations’ efforts to improve patient outcomes. By using data to recognize vulnerabilities in the diagnostic process, empowering their diagnostic teams and fostering an environment where every team player understands their vital role organizations can proactively correct the potential root causes of diagnostic errors.
Alpine Physician Partners — which operates primary care organizations in several states — is implementing Ambience Healthcare’s documentation and coding tool after a successful pilot. Before adopting Ambience’s tool, Alpine clinicians spent 4.7 hours on charting per day, but now that time has dropped down to 1.2 hours per day.
SmarterDx — an AI startup that provides clinical review and quality audits for medical claims — closed a $50 million Series B funding round, bringing its total funding to date to $71 million.
On Monday at HIMSS24, Innovaccer unveiled a preview of its new AI copilot for providers, which is slated to go on the market by the end of 2024. The solution is a portable tablet device designed to provide clinicians with point-of-care support — it flags care and coding gaps, assists with clinical documentation and advises clinicians on possible diagnosis pathways.
In a landscape where complexity has long been the norm, the power of one lies not just in unification, but in intelligence and automation.
Nearly half of physicians are equally excited and concerned about the use of AI in their field, according to a new AMA survey. Those who felt optimistic about AI cited reduced administrative burden as the number one benefit they’re seeking. Patient privacy and the impact to the patient-physician relationship were the most common reasons physicians cited for having reservations about AI.
Amazon recently unveiled HealthScribe, an API that software companies can use to create clinical note generation apps that providers can later adopt. With this approach, Amazon is seeking to collaborate with companies that are building clinical documentation AI apps rather than compete with them. Some think this approach is clever, but others think it does little to facilitate bi-directional EHR integration and create standardization.
The company is working on a voice assistant to lighten clinicians’ documentation burdens by automating some of that work. It faces competition from large companies like Nuance, which was acquired by Microsoft earlier this year.