An Automated Resolution to Healthcare’s $125 Billion Fax Downside

By Thomas Thatapudi, CIO, AGS Well being

In 2018, the top of the Facilities for Medicare and Medicaid Companies issued a problem to well being IT builders and suppliers alike to “assist make each physician’s workplace in America a fax-free zone by 2020.”

The problem was issued out of frustration with a significant workflow that is still reliant on outdated fax expertise. Annually, healthcare suppliers alternate over 9 billion fax pages, driving an estimated $125 billion in prices throughout the healthcare system.

The continued reliance on fax expertise is a persistent problem for healthcare, undermining knowledge integrity and operational effectivity. Research by DirectTrust reveal alarming statistics: 30% of checks should be re-ordered attributable to misplaced faxes, and 25% fail to reach on time for affected person visits. Moreover, integrating faxes into well being programs typically calls for guide indexing—an costly and time-intensive process many organizations can in poor health afford.

Luckily, automation gives an answer. Machine Studying and Generative AI are significantly adept at dealing with repetitive duties similar to fax indexing. Whereas attaining excellent accuracy from the outset is unlikely, pairing AI-driven Digital Employees with human oversight ensures exceptions are managed successfully. Over time, as AI programs study and adapt, they’ll assume extra advanced obligations.

To succeed, this mannequin requires a fastidiously designed workflow that balances human experience with AI capabilities to fulfill high quality, timeliness, and accuracy requirements.

Constructing the Digital Workforce

A profitable hybrid fax indexing technique depends on a fastidiously designed digital workflow mannequin that successfully coordinates efforts between human workers and Digital Employees. The method begins with figuring out the required applied sciences, which is greatest completed by observing human indexers to realize a complete understanding of their workflows and distinctive necessities. This perception informs each implementation planning and feasibility testing.

Digital Employees are geared up with superior intelligence and automation instruments to streamline fax processing. Using optical character recognition (OCR), they convert faxed paperwork into machine-readable textual content, whereas pure language processing (NLP) fashions interpret and handle the embedded knowledge. Generative AI is then utilized to categorise faxes primarily based on the sender’s documentation format, assess confidence thresholds, and both combine the information right into a documentation administration system or EHR or direct it to guide validation workflows.

By Machine Studying, Digital Employees repeatedly adapt to new doc codecs, refine categorization strategies, and align with suppliers’ templates and kinds. Each processed fax contributes to better accuracy, enhanced effectivity, and lowered exceptions over time.

To make sure long-term success, monitoring key efficiency indicators (KPIs) is crucial. Metrics similar to day by day indexing quantity, accuracy charges, turnaround occasions, and general productiveness present useful perception into efficiency and progress.

Actuality-based Deployment

Whereas automated fax indexing has been round for a while, Digital Employee-driven automation is a comparatively new entrant within the burgeoning area of healthcare AI, one which has already had an affect. For one well being system, implementing automated fax indexing has put it on monitor to save lots of roughly $2 million in annual bills.

Automation lowered the variety of guide indexers required to course of the well being system’s fax quantity, enabling key group members to give attention to higher-value duties whereas attaining a near-perfect accuracy price and 24-hour turnaround time. Over time, Digital Employees’ capabilities will broaden, elevating the automation price and lowering the necessity for human intervention, growing anticipated price financial savings.

Whereas a very fax-free healthcare system could stay out of attain within the close to time period, automation and AI applied sciences supply sensible options to digitize the method. By leveraging these instruments, healthcare organizations can considerably cut back prices, increase productiveness, and improve affected person security. This, in flip, helps mitigate the long-standing challenges tied to fax communications.

Automated fax indexing exemplifies how AI can successfully tackle persistent, age-old points. It brings innovation to a course of that has lengthy resisted modernization, paving the best way for better effectivity and progress throughout the healthcare sector.