What Is a Drawback of the Paper Medical Record?

The single biggest drawback of paper medical records is that they are difficult to share, search, and protect. But that understates the problem. Paper charts create a cascade of risks and inefficiencies that touch nearly every part of healthcare, from patient safety to disaster preparedness to the ability to spot trends across a population. Here’s a closer look at the specific ways paper records fall short.

Illegible Handwriting Puts Patients at Risk

Paper records depend entirely on the handwriting of the person filling them out, and that handwriting is often unreadable. A 2002 study published in the Journal of the Royal Society of Medicine found that 15% of case histories in hospitals were illegible. When surgeons audited 40 randomly selected operative notes from a British orthopaedic ward, only 24% were rated “excellent” or “good” for legibility, while 37% were rated “poor.”

This isn’t just an inconvenience. Illegible handwriting can delay treatment, trigger unnecessary tests, and lead to wrong doses of medication. In one well-known case from 1999, an American cardiologist prescribed 20 mg of Isordil, a heart medication, but the pharmacist misread the handwriting and dispensed 20 mg of Plendil, a blood pressure drug. The 42-year-old patient died. In Britain, medical errors broadly are estimated to contribute to up to 30,000 deaths per year, and poor handwriting is recognized as a significant factor.

Retrieving Records Takes Time and Labor

Every time a clinician, billing specialist, or records clerk needs a paper chart, someone has to physically locate it, pull it from a shelf or filing cabinet, and return it when finished. This retrieval step is one of the most expensive parts of running a paper-based system. According to the Journal of AHIMA, retrieval “may be the most costly component” of responding to any request for patient information. After a chart is used, it has to be refiled accurately, or it becomes effectively lost.

Studies on how clinicians spend their time show that documentation tasks (reading, writing, and searching for information in the record) consume roughly 34 to 37% of a consultation, regardless of whether the system is paper or electronic. But paper adds a physical dimension to every search: flipping through pages, tracking down a chart that another department checked out, or waiting for a file to arrive from off-site storage. None of those delays exist when records are digital.

Storage Costs Add Up Quickly

Paper charts take up real space, and healthcare organizations are legally required to retain records for years. A single standard storage box costs around $0.22 per month in basic storage, but that figure climbs to $3.00 per month per box when archival-quality conditions are needed (temperature and humidity control to prevent degradation). A mid-sized practice can easily accumulate hundreds or thousands of boxes over time. The floor space those boxes occupy in a clinic or hospital could otherwise be used for patient care, offices, or revenue-generating services.

Beyond the boxes themselves, paper systems require folders, labels, dividers, toner, envelopes, staples, and dedicated staff to organize and maintain it all. These supply and labor costs are easy to overlook individually but substantial in the aggregate.

No Reliable Way to Track Who Viewed a Record

Privacy regulations require healthcare organizations to control and monitor access to patient information. With electronic systems, this is handled through automatic audit trails that log every time someone opens, edits, or prints a record. Paper has no equivalent. The best a paper-based office can do is use sign-out sheets, chart-tracking logs, or flagging devices to monitor who has a chart. These methods depend entirely on people following the process every single time. If someone pulls a chart and doesn’t sign it out, there is no record of that access. This makes it nearly impossible to investigate a potential privacy breach or prove that records were handled properly.

Sharing Records Between Providers Is Slow

When you see a specialist, visit an urgent care clinic, or move to a new city, your medical history needs to follow you. With paper records, that means faxing, mailing, or physically transporting documents. A study published in the London Journal of Primary Care investigated what happens when this process breaks down: researchers found that 249 clinical letters from hospitals and after-hours services were delayed by an average of 18 to 24 months before reaching a general practice in suburban London. In those cases, more urgent information had been communicated through other channels like email, which prevented patient harm. But the fact that routine paper correspondence can lag by nearly two years illustrates how fragile the system is.

This delay matters most for patients with chronic conditions who see multiple providers. If your cardiologist doesn’t have your latest lab results from your primary care doctor, decisions get made with incomplete information.

Paper Records Can Be Permanently Destroyed

Fire, flooding, and natural disasters can wipe out years of patient data in hours. When Hurricane Sandy hit the East Coast in 2012, a federally qualified health center in Queens, New York, lost 1,500 paper records as floodwaters rose through the building. The center had begun transitioning to an electronic system but hadn’t finished uploading the paper files. Those records were gone.

Rebuilding a destroyed paper record is possible but painfully slow. Physicians have to contact labs, hospitals, and other providers to piece together fragments of a patient’s history, typically only recovering data from the previous 6 to 18 months. Anything older is often lost for good. Electronic records stored in the cloud or on remote servers, by contrast, can survive a local disaster because copies exist in multiple locations.

Population Health Tracking Is Nearly Impossible

One of the less obvious drawbacks of paper records is that the information locked inside them can’t be easily aggregated or analyzed. If a public health official wants to know how many patients in a region have uncontrolled diabetes, or if a clinic wants to identify patients overdue for a cancer screening, paper charts offer no practical way to answer those questions without manually reviewing every single file.

Electronic systems allow providers to run queries across thousands of records in seconds, flagging patients who need follow-up, spotting medication trends, or identifying clusters of a new illness. Paper records make all of that invisible. The data exists, but it’s trapped on individual pages in individual folders, inaccessible to the kind of analysis that improves care at a population level. Research into population health management consistently identifies incomplete data and the inability to link records across settings as major barriers, and paper-based systems are the most extreme version of that problem.