Joe Kiani Says Hospitals Could Prevent 180,000 Deaths a Year With Protocols That Already Exist

Anders Pederson donated a kidney to save his sister Kelly. The surgery worked. Hours later, according to an account published by Joe Kiani in Fortune, warning signs of a medical crisis went unnoticed, his pain medication was changed without adequate monitoring, and Pederson slipped into a coma. He died nine days later. His family was initially told his heart simply stopped, Kiani writes, and only learned the fuller story after pushing for answers.

Kiani, who runs a patient-safety advocacy effort that publishes evidence-based hospital protocols on its website, uses the Pederson case to argue that preventable medical harm is a solved problem hospitals simply refuse to fix. His claim: if every U.S. hospital adopted protocols that already exist, deaths from medical error could drop from roughly 200,000 a year to as few as 20,000, a 90% reduction, according to his op-ed.

The numbers behind the claim

Kiani's piece traces the issue back to 1999, when the Institute of Medicine's report "To Err Is Human" estimated that 44,000 to 98,000 Americans died annually from preventable medical errors. That report is credited with putting patient safety on the national agenda.

By 2011, Kiani writes, a report from the Department of Health and Human Services' Office of Inspector General put the toll at roughly 200,000 deaths a year, a fourfold jump from the 1999 low estimate over roughly a decade. Kiani also cites broader research suggesting medical errors contribute to around 250,000 U.S. deaths annually, ranking behind only heart disease and cancer, and that the global toll may reach 3 million deaths a year.

Those figures, as presented in the op-ed, are attributed to unnamed "research" rather than a specific study, and the piece does not name the researchers or publications behind the 250,000 and 3-million figures. Estimates of medical-error deaths have swung widely across studies for a quarter-century precisely because determining whether an error directly caused a death, rather than contributed to it in a patient who was already critically ill, requires a clinical judgment call applied retroactively to a chart. That judgment can produce very different totals depending on who reviews the case and how "preventable" is defined. Kiani's op-ed does not address that variability.

The aviation comparison, half-made

Kiani invokes the standard comparison to commercial aviation, which transformed its safety culture after high-profile crashes forced airlines and regulators to respond. He begins to explain why the comparison breaks down in medicine, noting only that when a plane goes down, it dominates public attention in a way a single hospital death never does. The op-ed does not go further to explain what specific reforms follow from that observation, or which protocols on his organization's list he considers the highest priority.

What's documented

Federal reports on preventable hospital deaths have existed since 1999. The estimated toll has grown rather than shrunk in the reports Kiani cites. Adoption of best-practice safety protocols remains voluntary. No federal law requires hospitals to implement the specific list of practices Kiani's organization has published. The Centers for Medicare & Medicaid Services ties some hospital payments to reported quality and safety metrics, but Kiani's op-ed does not credit or blame that existing system, focusing instead on protocols hospitals have not adopted at all.

Hospital errors demonstrably kill people. A 90% reduction, however, is being presented as a settled, quantifiable outcome, "not aspirational," in Kiani's words. This conclusion rests on figures that have never been independently reconciled across the studies he cites, and on a list of "already validated" protocols that his own organization compiled and publishes.

Unanswered is which specific hospitals, if any, have adopted the full protocol list Kiani references, what death-rate change resulted, and who outside his organization has audited those results. Until that data surfaces publicly, the 180,000-lives-a-year figure remains an advocacy estimate rather than a measured outcome.