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From Fax Machines to Fully Digital: Why IDP Is Healthcare’s Next Great Leap

Date: December 11, 2025
Author: Dr. Neeta Bhatia

Healthcare is full of incredible contrasts. A stroke patient can now be assessed by an AI‑supported imaging system and receive life‑saving treatment decisions in minutes—yet that same patient may still be handed a stack of paper forms and asked to repeat their medical history three times while staff hunt for missing documents across departments. These “small” moments of friction are not just inconveniences; they’re signals of a deeper problem. Most of the information that runs healthcare is still trapped in unstructured documents, shuffled by email, printers, and fax instead of flowing cleanly through digital workflows. While clinical care races ahead, document workflows remain stubbornly manual and fragmented, draining frontline time and slowing everything from onboarding to billing and discharge.

The numbers are sobering. Around 80–90% of enterprise data is estimated to be unstructured—living in scans, free‑text clinical notes, PDFs, emails, and handwritten forms. In healthcare, that means critical details about medical history, medications, and coverage are often buried in documents that are hard to search or share. Front desk staff spend a disproportionate amount of time on manual onboarding and document hunting, while patients fill out the same information repeatedly. Across industries, knowledge workers lose roughly 19% of their week just searching for the right information instead of using it to make decisions. According to McKinsey, nearly 19% of a typical workweek is lost simply searching for needed information. The true cost runs deeper. Siloed data and reliance on manual entry increase the risk of errors, drive up claims denials, and lengthen accounts receivable cycles by as much as 20%—costs that directly affect both margins and patient care quality.

The numbers are sobering. As much as 80–90% of enterprise data is unstructured—residing in scans, forms, emails, and handwritten notes (MIT Sloan). For healthcare, this translates to huge inefficiencies: front desk staff spend up to 40–60% of their time on manual onboarding, while patients are left filling out redundant paperwork, waiting anxiously for documents to be found and verified. According to McKinsey, nearly 19% of a typical workweek is lost simply searching for needed information.​

The true cost runs deeper. Siloed data and reliance on manual entry increase the risk of errors, drive up claims denials, and lengthen accounts receivable cycles by as much as 20%—costs that directly affect both margins and patient care quality.

Intelligent Document Processing (IDP) uses advanced AI, natural language processing, and machine learning to capture, extract, validate, and quickly route information from diverse documents. In practice, this means:

  • Patients can check in digitally, upload identity and insurance cards, and sign consents without redundant paperwork.
  • Staff spend less time chasing down documents and more time on meaningful patient engagement.
  • Clinical and billing teams receive accurate, complete records in real time, dramatically reducing the risk of billing surprises and compliance errors.​

Gartner research shows that IDP can reduce document processing times by up to 70%, while McKinsey cites a 20–30% decrease in operational costs and manual intervention across back-office processes.​

Claims management in healthcare is a notorious friction point, involving millions of documents each month—often as a tangled mix of PDFs, handwritten notes, and forms. Manual review is slow and error-prone. Studies see accounts receivable days increase by up to 20% and unreasonable amounts lost to denials and manual bottlenecks.​

IDP changes the picture for both sides. Automated extraction and validation of key fields—like CPT codes, dates, patient IDs, and payment amounts—reduces errors and speeds up everything from submission to payment. Many adopters report denial rates dropping by more than 25% and reimbursement cycles shrinking from weeks to days.

For payers, IDP means structured, actionable data that reduces backlog and supports faster, fairer claims decisions, with stronger compliance oversight.

Patients are demanding digital convenience. More than 70% now prefer digital self-check-in when offered, and leading health systems that implement IDP and automation see onboarding errors halved and average check-in times below 8 minutes.​

The real breakthrough isn’t just “paperless paperwork”—it’s the ability to offer seamless, omnichannel experiences, integrating telehealth and in-person care so that patients get the same efficient welcome no matter how they engage. The ultimate test is making every patient’s journey—from the first appointment to claim resolution—smoother, safer, and more human.

IDP is more than just a technological fix for one department. By automating data extraction, validation, and integration with enterprise systems, it enables:

  • Real-time compliance with audit and regulatory needs
  • Operational agility to handle surges in patient volume without additional staff
  • Deep insights from previously “invisible” unstructured data

Organizations that commit to modernizing document workflows move faster, operate more efficiently, and unlock new ways to measure—and improve—outcomes.

As data grows more complex and patient expectations rise, the industry is moving toward:

  • Fully digital, self-service onboarding accessible from any device
  • Real-time validation of identity and insurance eligibility, powered by AI
  • Integration of all patient touchpoints into unified, secure, digital workflows
  • Automation not just of document handling, but also of compliance reporting and audit preparation

In this new era, information won’t just be “available”—it will be accurate, complete, and instantly actionable for clinicians, billing teams, and compliance officers. Ultimately, this foundation is critical for better outcomes, financial resilience, and a patient journey worthy of the digital age.

  • MIT Sloan/IBM: “80–90% Unstructured Data in Enterprises” [McKinsey: “19% of time spent searching for data,” “20–30% cost savings with automation”]
  • Gartner via Smith Hanley: “Up to 70% reduction in processing time”
  • Intelligent Document Processing: A Comprehensive Guide, XBP Global
Dr. Neeta Bhatia

Dr. Neeta Bhatia

Digital Health Solutions Expert

Dr. Neeta P. Bhatia is Senior Vice President – Healthcare at XBP Global, leading AI-driven healthcare transformation for payers and providers. With 20+ years across digital health strategy, smart hospitals and RCM modernization, she advises global organizations on cloud-digital adoption, precision medicine readiness and experience-led healthcare redesign.

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