Healthcare's Action Gap: The Paper Jam Costing Billions and Harming Patients

WILMINGTON, DE – September 09, 2026

A quiet but critical failure is unfolding in the arteries of the American healthcare system. It’s not a breakdown of clinical skill or a lack of information, but a systemic jam in the flow of that information. A new report has put a number on this long-simmering issue, revealing that for nearly half (48%) of healthcare organizations, delays in processing documents frequently and negatively impact patient care.

This chasm between receiving information and acting on it is what the technology firm Documo has termed “The Healthcare Action Gap” in its latest annual State of Healthcare Operations report. The findings paint a stark picture: critical patient data arrives daily, but because it often lands outside the primary digital record-keeping systems, it gets stuck, awaiting manual human intervention. This administrative friction is more than an inefficiency; it’s a direct threat to patient outcomes and a massive drain on financial resources.

Beyond the Digital Promise: The EHR's Blind Spot

For decades, the Electronic Health Record (EHR) was heralded as the solution to healthcare’s fragmented data problem. The vision was a seamless, shareable system—a single source of truth for a patient’s entire medical history. Yet, the reality on the ground is far messier. The new survey reveals that for 62% of healthcare organizations, more than a quarter of all document processing work happens entirely outside the EHR. For a full 25% of providers, that number climbs to over half.

These are not trivial documents. They are patient referrals, prior authorization requests, lab results, and claims—the very lifeblood of care coordination and revenue cycles. They often arrive as faxes, secure messages, or scanned PDFs, formats that EHRs are not designed to ingest and understand automatically. This creates a shadow-world of manual labor where staff must print, review, re-type, and route information before it can ever trigger a clinical or administrative action.

“Every day, our staff acts as a human bridge between a fax machine from 1995 and a multi-million dollar EHR system,” explained one anonymous hospital administrator. “It's not just inefficient; it's exhausting and risky. Every manual touchpoint is a chance for a referral to get lost or a critical lab value to be delayed.”

This “last mile” problem persists despite billions invested in interoperability. While progress has been made in system-to-system data exchange, the industry still struggles to manage the torrent of unstructured documents that define so much of its workflow. The EHR remains a vital repository, but it cannot solve the operational gap that surrounds it.

The Tangible Cost of Administrative Friction

The consequences of this action gap are severe and measurable. Beyond the 48% of organizations linking document delays directly to negative patient care, the report highlights a staggering rate of “referral leakage.” An estimated 45% of providers believe more than one-fifth of their patient referrals never result in a completed appointment, a direct hit to both continuity of care and the bottom line.

This operational dysfunction contributes to a much larger, well-documented national crisis. Broader industry research estimates that gaps in accessing complete patient health records contribute to approximately 20,000 deaths and 1.5 million delayed or missed diagnoses annually in the United States. The financial toll is equally staggering, with an estimated $8 billion in operational waste each year stemming from lost specialist capacity and care disruptions caused by incomplete information.

This burden falls heavily on the shoulders of healthcare staff. The report notes a “manual-work multiplier” effect: in organizations where most document work happens outside the EHR, 74% say more than half of those documents require manual review. This endless cycle of administrative tasks consumes staff capacity that could be dedicated to patient-facing activities, fueling burnout and reducing productivity.

The Automation Paradox

Perhaps the most perplexing finding is the profound disconnect between the acknowledged problem and the deployed solutions. Healthcare leaders are keenly aware of the potential for technology to help. Among the organizations drowning in the most manual review, 60% believe that over half of that work could be automated with artificial intelligence. Yet, a mere 18% of all organizations surveyed are currently investing in document workflow automation.

This is the automation paradox. The pain is acute, the solution is understood, but the investment is lagging. It suggests a strategic blind spot, where the operational infrastructure supporting critical workflows is underfunded despite its clear impact on revenue and patient safety.

“Healthcare doesn't have an information problem — it has an action problem,” stated Denis Whelan, CEO of Documo, in the report’s release. “AI's real value isn't just extracting information from a document. It's removing the unnecessary manual work that stands between information arriving and action happening.”

This points to a need for smarter automation—Intelligent Document Processing (IDP)—that can automatically classify documents, extract key data, and route information into the correct workflow. However, adoption is not uniform. A persistent “digital divide” exists in healthcare, where smaller, rural, and independent hospitals lag far behind their larger, system-affiliated peers in adopting AI, potentially widening the gap in operational efficiency and care quality.

A System in Need of a New Operating Model

Ultimately, closing the action gap requires more than a new piece of software; it demands a fundamental rethinking of the healthcare operating model. Experts argue that the industry’s current models are misaligned with how care is delivered and financed today. The challenge is not simply to digitize old processes but to build new, intelligent workflows that are resilient, efficient, and centered on action.

The business case is compelling. Hospitals that have successfully deployed predictive AI are already reporting measurable financial benefits in areas like billing and scheduling. By automating the front-end of document-heavy processes like patient intake and referrals, organizations can reduce claim denials, accelerate revenue cycles, and unlock significant staff capacity.

Fixing the paper jam is not merely an IT project. It is a strategic imperative that sits at the intersection of patient safety, financial sustainability, and staff well-being. The data shows that the cost of inaction—measured in delayed care, lost revenue, and burned-out employees—is a price the healthcare system can no longer afford to pay.