Golden Moment: AI Scribe & Coding

A Looming Physician Shortage and Escalating Burnout

The United States is facing an increasingly critical physician shortage in critical disciplines.

Burnout from the COVID-19 pandemic exacerbated an already prominent trend, pushing predictions of the physician deficit to nearly 90,000 by 2036.[1] Increased regulatory and payor requirements have elevated the burden of clinical documentation from already intense administrative requirements.

The Rising Burden of Clinical Documentation

As certain physicians in the U.S. have experienced lagging income growth (given higher costs to run a private practice), longer hours, and more malpractice lawsuits, it’s an opportunity for specialized outsourced solutions providers to address pain points for physicians to ensure patient care is not compromised.

Introducing eSOne™ InstaNote: DeliverHealth's AI-Powered Solution

DeliverHealth is a leader in medical documentation. Its AI solution, eSOne™ InstaNote, converts clinical encounters into comprehensive documented medical records, saving physicians time to be more productive and more actively engaged with their patients. The company’s solution support around 60,000 physicians across the United States, Canada, Australia and New Zealand. Their technology helps doctors create over one million medical notes per month. DeliverHealth trained its large language models (“LLMs”) on the largest supply of medical notes available, and its model now boasts the broadest medical vocabulary of any comparable LLM. Most importantly, these notes are delivered within seconds rather than hours.

“As we continue to scale this market-leading solution to physicians in need, InstaNote dictate is valuable for the inpatient setting while ambient is more suitable for outpatient” said Sasanka (Sy) Yella Manchali, Chief Executive Officer of DeliverHealth. "We continue to be a trusted strategic partner as we execute growth strategy of AI scribe optionality with coding suggestions, auto code and audit pathways. This, along with largest AI scribe userbase in our InstaNote solution, has set us up to win in the marketplace.” 

The "Golden Moment": Real-Time Documentation for Better Care

When doctors document their notes and relay information to both patients and insurers accurately and in close time to when service is rendered, everybody wins. That’s what Yella Manchali calls the “golden moment,” or the moment when optimal care is rendered. 

Reducing the burden on physicians and finding a “golden moment” is not merely a matter of time management; it is essential to improving the quality of care. “The truth is,” Yella Manchali says, “Overworked humans are still our biggest source of medical errors.” When physicians are required to document cases days or even weeks after a patient encounter, the accuracy of their recall naturally diminishes — but capturing the details of a visit amidst a demanding schedule of roughly 20 patients per day poses an immense challenge. DeliverHealth addresses this issue by allowing physicians to document in any setting with precision and efficiency, producing notes in real-time while significantly reducing the likelihood of errors. 

Why Speed and Accuracy Matter for Hospitals, Patients, and Physicians

The impact of the speed and accuracy of AI advances in healthcare is pivotal. For hospitals, it ensures proper coding and maximizes reimbursements, as insurers are more likely to approve claims with detailed and accurate documentation. For patients, it translates to more precise and effective treatment, and most importantly, more face time with their care team. Patients prefer doctors who are tuned into their concerns and emotions.[2] For doctors, who often feel that they are unable to deliver the standard of care they hold themselves to because of bandwidth constraints,[3] DeliverHealth’s solutions alleviate administrative pressures on physicians – giving doctors back time to focus on helping patients.

[1] https://www.mckinsey.com/industries/healthcare/our-insights/the-physician-shortage-isnt-going-anywhere 
[2] https://pmc.ncbi.nlm.nih.gov/articles/PMC4395515/
[3]https://www.rand.org/content/dam/rand/pubs/research_reports/RR400/RR439/RAND_RR439.pdf