The information deficit: Why slow data is making us sick – again

The information deficit: Why slow data is making us sick – again

By Julie Swann

Every summer, a familiar public health drama plays out in the produce aisles. Reports spike of widespread gastrointestinal illness caused by Cyclospora, which is a microscopic parasite that hitches a ride on fresh leafy greens. As cases climb across dozens of states, public health officials scramble to answer a simple question: What is the source of the contamination?

By the time investigators connect the dots, weeks have passed. The product in question such as lettuce has long since been harvested, shipped, processed, served, and eaten.

We tend to frame foodborne outbreaks as agricultural failures or biological mysteries. But in reality, our food safety crisis is an operational data crisis.

Our produce supply chain is built for extreme speed, rushing highly perishable products from farm fields to restaurant tables in a handful of days. Yet the information network tracking that food moves at a snail’s pace. We are trying to protect a 21st-century supply chain using 20th-century paper trails, unstructured PDFs, and dial-up-era communication systems. 

To stop outbreaks before they spread, we must eliminate data friction across three core dimensions: Amount, Quality, and Speed across multiple operational networks.

1. The amount of information: Stop tracing ‘blank boxes’
When a shipping manifest simply reads “100 cases of shredded iceberg,” investigators are left flying blind. Under baseline regulatory standards, a distributor often only knows who sold them a pallet and who bought it, and this “one-step-back, one-step-forward” model that breaks down in a fast-moving crisis.

Under the FDA’s Food Safety Modernization Act (FSMA) Section 204, companies are required to capture granular Key Data Elements (KDEs)—including a standardized Traceability Lot Code (TLC) that follows a crop from harvest to bowl. Knowing the exact lot code turns a nationwide needle-in-a-haystack search into a targeted query. However, federal enforcement has been delayed. 

2. The quality of information: Speak a universal digital language
Granular data is useless if it’s trapped in proprietary software silos or on paper clipboards. Today, a processor, a logistics distributor, and a restaurant chain often use three incompatible inventory systems. When public health officials request records, they may receive a mountain of flat PDFs and hand-written invoices that staff must manually cross-reference in spreadsheets.

The solution isn’t inventing new technology; it’s increasing adoption of open, global standards that already exist. GS1-128 barcodes, which are the open-source standard used on almost every packaged retail product in America, can embed lot numbers, harvest dates, and location codes into a single, machine-readable label. If a retail barcode can track a tube of toothpaste from a warehouse to your doorstep in real time, a case of lettuce should carry the same digital transparency.

3. The speed of information: Close the latency gap
The most dangerous lag occurs between the patient and the investigator. Traditional outbreak investigations rely on telephone recall surveys that take weeks to schedule, conduct, and analyze.

Because bagged greens have a shelf life of under three weeks, an investigation that takes 21 days is effectively an autopsy, not an intervention. If health agencies used automated, SMS-driven digital questionnaires paired with opt-in retail receipt syncing, traceback times could drop from weeks to 48 hours.

Cutting investigation times from three weeks to five days isn’t just an administrative win: it a preventative shield.  Catching a contaminated lot two weeks earlier can prevent up to 70 percent of potential exposures. Accounting for unreported illnesses, rapid digital tracing in a major outbreak could spare tens of thousands of Americans from severe illness.

Keep in mind, packaged produce typically has a shelf life of 14-21 days. Public health traceback could be reduced to 5 days, potentially preventing cases in weeks 2 and 3 of the shelf life. Also, the CDC estimates that for every 1 lab-confirmed case of Cyclospora, 20-30 actual illnesses occur in the community, so an outbreak of 2000 lab-confirmed cases represents roughly 40,000 to 60,000 real-world sick people. 

A 4-part policy roadmap for change
Fixing this broken data pipeline requires a coordinated effort across industry, Congress, states, and public health:

  1. Private sector buyers must lead: Retail and foodservice giants shouldn’t wait for delayed federal deadlines. Following the lead of major retailers like Walmart, commercial buyers must mandate that suppliers don’t just print GS1-128 case barcodes, but digitally transmit those lot numbers via Advance Ship Notices (ASNs) at every transfer point as a condition of doing business.
  2. Congress must fund small farms: Digitization shouldn’t drive small family farms out of business. Congress and the USDA should establish a Digital Traceability Grant Program, which can provide $1,500 to $3,000 technology grants for small and mid-sized growers to cover the initial costs of thermal label printers, scanners, and open-source software integration.
  3. Fund state health agencies to modernize: We cannot demand 21st-century disease tracking from local health departments operating on 20th-century budgets. States including Colorado and Minnesota have shown us approaches that work. By deploying automated, web-based survey links and digital complaint portals, these health departments have cut interview times by 70 percent while reaching patients instantly. These modern tools shouldn’t depend on one’s zip code or a state’s wealth. The CDC and state legislatures must scale these proven digital toolkits nationwide, ensuring every local health department has access to free, plug-and-play investigation software.
  4. Restore CDC active surveillance: In July 2025, the CDC scaled back its Foodborne Diseases Active Surveillance Network (FoodNet), making active tracking for Cyclospora optional for participating states due to budget constraints. We cannot fix what we stop measuring. FoodNet is our long-term public health radar, and federal funding for it should be restored. Making parasite tracking optional under FoodNet doesn’t just blind us during an active summer outbreak; it destroys the baseline data we need to evaluate whether our food safety policies are working overtime.

 Our food supply chain is a marvel of modern logistics. To protect the public, It is time we build a unified digital network spanning commercial logistics, federal oversight, and local health response that moves just as fast.

 About the author: Julie L. Swann is the A. Doug Allison Distinguished Professor in the Edward P. Fitts Department of Industrial and Systems Engineering at North Carolina State University. She is Past-President of INFORMS. Professor Swann is an expert in supply chain management and in health systems and a Fellow of AAAS, AIMBE, IISE and INFORMS.

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