
Share
As healthcare systems like Ascension explore advanced AI tools, the focus is shifting from automating documentation to streamlining post-visit tasks, enhancing both clinician satisfaction and patient care.
The promise of artificial intelligence (AI) in healthcare has been a beacon of hope for overburdened clinicians. While AI scribes have already made significant strides in reducing the administrative load during patient visits, there's still more ground to cover. Ascension, one of the largest health systems in the United States, is leading the charge by extending AI beyond note-taking to tackle the mountain of tasks that follow a patient's departure.
Thomas Aloia, Ascension’s chief clinical officer, envisions a future where AI can anticipate and handle post-visit tasks in real time. This includes everything from order entry and billing to ensuring compliance. "We do see a time point where we have a fully automated task with audit backup," Aloia said, emphasizing the potential for AI to revolutionize how healthcare is managed.
Ambient listening and AI-powered scribing have already made a significant impact by freeing physicians from the tedious task of typing notes during patient visits. However, once the visit concludes, clinicians are still left with a barrage of administrative duties that can be both time-consuming and error-prone. "We’re not expert billers; we’re expert doctors," Aloia noted, highlighting the need for tools that can support physicians in these non-clinical areas.
One of the key benefits of extending AI's capabilities is the reduction of administrative burden on clinicians. According to a study from Ontario’s AI scribe program, clinicians using these tools report a 70-90% decrease in documentation time and save an average of four hours per week on administrative tasks. This reclaimed time allows doctors to focus more on their patients, fostering better connections and improving the quality of care.
Dr. Fink Shrink, a prominent psychiatrist, shared his experience with AI scribes on Instagram: "Medical AI scribes are great to help doctors focus on their patient rather than their computer screen. And they organize vast swaths of information in helpful ways." This sentiment is echoed by many healthcare professionals who find that AI tools not only streamline documentation but also enhance the overall patient experience.

Aloia believes that the next step is for AI to become more proactive, anticipating tasks before they become a burden. For example, an AI system could detect when an order needs to be placed and prompt the physician to confirm it immediately, rather than waiting until after the visit. This real-time assistance not only reduces the workload but also minimizes the risk of errors that can occur when notes are finalized long after the patient has left.
The implications of these advancements go beyond just making life easier for clinicians. By reducing administrative burdens and redesigning workflows around human needs, healthcare systems can create more space for what truly matters: the connection between clinicians and patients. This shift is crucial in an industry where burnout among healthcare workers has reached alarming levels.
The accuracy and consistency provided by AI can lead to better patient outcomes. Manual processes are inherently prone to human error, which can have serious consequences in healthcare. Aloia pointed out that "there’s a certain amount of human error in coding and billing," but with AI paired with a strong audit mechanism, these errors can be significantly reduced.
As healthcare systems continue to explore the potential of AI, the focus remains on enhancing the patient experience while supporting the well-being of clinicians. The journey is ongoing, but the progress made so far is a promising step toward a more efficient and compassionate healthcare system.
Tags
Original Sources
How to Keep Clinicians Satisfied, the Ascension Way - MedCity News
↗ https://medcitynews.com/2026/08/clinician-ascension-ai
About the author
Amara's entry point into AI was an epidemiology role at a London research hospital, where she spent five years studying how digital health tools reached — or conspicuously failed to reach — underserved communities. Watching early algorithmic systems in healthcare quietly entrench existing inequalities, she redirected her career toward the systemic consequences of AI at scale. She covers AI through an unflinching lens: who benefits, who bears the cost, and what evidence actually says versus what the press release claims. Her writing is calm and precise, but she doesn't mistake balance for neutrality.
More from The Steward →This Week's Edition
17 August 2026
113 articles
Related Articles
Related Articles
More Stories
© 2026 Cedar & Bloom. All rights reserved.