{"id":8253,"date":"2026-02-11T17:29:58","date_gmt":"2026-02-11T23:29:58","guid":{"rendered":"https:\/\/harmonimd.com\/the-digital-autopsy-what-near-miss-data-is-trying-to-tell-you\/"},"modified":"2026-02-11T17:29:58","modified_gmt":"2026-02-11T23:29:58","slug":"the-digital-autopsy-what-near-miss-data-is-trying-to-tell-you","status":"publish","type":"post","link":"https:\/\/harmonimd.com\/en\/the-digital-autopsy-what-near-miss-data-is-trying-to-tell-you\/","title":{"rendered":"The Digital Autopsy: What \u201cNear Miss\u201d Data Is Trying to Tell You"},"content":{"rendered":"

[vc_row][vc_column][vc_column_text]At 7:08 p.m<\/strong>., a nurse is about to administer an antibiotic.
\nSomething feels off\u2014the dose looks high. She double-checks, confirms with
pharmacy, and the order is corrected \u201cat the last second.\u201d No harm. No headline.
The shift moves on. <\/p>\n

In a traditional hospital, that becomes a throwaway anecdote: \u201cGood catch.\u201d
In a digital hospital, that moment is gold:<\/strong> a near miss is a dress rehearsal for a
tragedy\u2026 <\/strong>and it just gave you permission to fix the system without paying the
price in patient harm. [\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]<\/p>\n

First: define a near miss (no poetry, just reality)<\/h4>\n

AHRQ (through its Common Formats<\/strong> for patient safety event reporting) describes
near misses \/ close calls<\/strong> as safety events that did not reach the patient. <\/strong>(PSO<\/a>) <\/p>\n

PSNet (AHRQ) explains it similarly: a near miss is an event that could have caused
harm but didn\u2019t, because it was intercepted before it reached the patient<\/strong> (or was
stopped in time). ( PSNet<\/a> )<\/p>\n

Translation: <\/strong>nothing happened\u2026 but the system still failed.<\/strong> A human just saved it
(this time).[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]<\/p>\n

The thesis: traditional hospitals analyze tragedies; digital hospitals analyze
\u201cscares\u201d<\/h4>\n

Healthcare is trained to react hard when there\u2019s severe harm. For example, The
Joint Commission<\/strong> defines a sentinel event <\/strong>as a safety event resulting in death,
permanent harm, or severe temporary harm. <\/strong>(Joint Commission<\/a>) <\/p>\n

That\u2019s critical\u2026 but it\u2019s also late.<\/p>\n

A near miss offers something a severe event never can: system improvement
without human cost.<\/strong><\/p>\n

The WHO is clear about the value of reporting and learning systems: capturing
near misses is an opportunity to implement solutions before harm occurs. In
other words, near-miss reporting allows you to improve without waiting for damage.<\/strong>
(Organizaci\u00f3n Mundial de la Salud<\/a>)<\/p>\n

Translation: <\/strong>if you only investigate when there\u2019s blood on the floor, your model is
reactive by design.[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]<\/p>\n

Why near misses matter: they reveal where the system breaks most often<\/h4>\n

In safety science (inside and outside healthcare), a common framing is that severe
events are often preceded by many more minor events and near incidents.<\/strong> The \u201csafety triangle\u201d associated with Heinrich is frequently referenced many more<\/strong>
\n(and debated in terms of exact ratios<\/strong>). (PMC<\/a>)<\/p>\n

But the practical takeaway remains useful: <\/p>\n

If you capture near misses, you find patterns. If you don\u2019t, you repeat risk. <\/strong><\/p>\n

In medication safety specifically, near misses are especially valuable because
they\u2019re often intercepted errors<\/strong>\u2014they never reach the patient. Research
analyzing medication ordering errors using AHRQ definitions describes near
misses as intercepted errors that do not reach<\/strong>
\nthe patient. <\/strong>(PMC<\/a>)[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]<\/p>\n

The \u201cdigital autopsy\u201d: how to analyze a near miss when you have data (not
just stories)<\/h4>\n

A digital autopsy isn\u2019t a long meeting fueled by opinions. It\u2019s a workflow. <\/p>\n

1) Structured capture of the event<\/strong><\/p>\n