Zio XT patch catches more heart rhythm problems than a 24-hour Holter

NICE found that Zio XT, a patch worn for up to 14 days with ECGs analyzed by a deep neural network, diagnoses more arrhythmias than 24-hour Holter monitoring at likely neutral or lower cost.

  • 2 a person

    More people with arrhythmias were diagnosed with 14-day Zio XT monitoring than with 24-hour Holter monitoring.

Depth runs from 1, a convenience or time saved, to 5, a life or a livelihood preserved.

Status
Reported benefit.
Evidence

foundstudiedreportedclaimed

Two independent assessment reports support the benefit.

Compared with

24-hour Holter monitoring. Measured.

The system’s part
Not isolated. The studies compared 14-day Zio XT monitoring with 24-hour Holter monitoring. Clinical experts credited the higher yield mainly to the longer wear time, and no study isolated the ZEUS algorithm, whose output company technicians check.
Limits
Not yet checked.
Costs and harms
Not yet checked.
Later
Not yet checked.

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Benefit type
Improved Task Accuracy
System
Zio XT (Zio biosensor with ZEUS deep neural network ECG analysis)
Made by
iRhythm Technologies
Used by
NHS organizations in England, with studies that included UK NHS sites
Where
England, United Kingdom (guidance), with studies in the United Kingdom and United States
Stage
In routine use
Date
, when the source was published
Kind
Aggregate result
Broad benefit
Identifying Objects, Actions, and Events, Monitoring Processes, Materials, or Surroundings
Collections
Scrutiny and findings, Cross-border records
Last revised
31 October 2026

Sources

  1. Assessment report, by authors with no tie to the system.

    National Institute for Health and Care Excellence. Zio XT for detecting cardiac arrhythmias. HealthTech guidance HTG562 (formerly MTG52), section 1: Recommendations. 1 December 2020.

    Evidence shows that Zio XT is convenient and easy to wear, with an improved diagnostic yield (a measure of how many people with cardiac arrhythmia are diagnosed) compared with standard 24‑hour Holter monitoring. The technology is likely to be cost neutral or cost saving compared with 24‑hour Holter monitoring, but more evidence is needed.

  2. Assessment report, by authors with no tie to the system.

    National Institute for Health and Care Excellence. HTG562, section 3: Evidence. 1 December 2020.

    During consultation, KiTec EAC reviewed the artificial intelligence in Zio XT's ZEUS software. It noted that the algorithm to detect arrythmia uses a fixed deep neural network (a computational model made up of multiple processing layers) and that the training of the system is adequate.

Details

AI system

Workflow

The patch recorded a continuous single-lead ECG for up to 14 days. Company cardiographic technicians checked the algorithm's findings before the report went to the clinician.

Follow-up

Conditions for replication

People wear the patch for most of the scheduled days. Outpatient appointments after a negative result stay uncommon, as in the cost scenarios that NICE favored.

Entry details

Sector

Healthcare (cardiology).

Purpose

IRhythm Technologies built Zio XT to record a person's heart rhythm for up to 14 days and flag arrhythmias in a report for the clinician.

Not yet checked: model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, AI contribution, beneficiaries, reach, distribution and access, duration, every measurement question, every money question, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.

Cite this record

Peter H. Vartanian. (2026). Zio XT patch catches more heart rhythm problems than a 24-hour Holter (AIBD-0735). Artificial Intelligence Benefits Database, edition of 31 October 2026. https://petervartanian.xyz/aibd/records/AIBD-0735.html (archived at https://doi.org/10.7910/DVN/AADSII, version 4.0)

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