thynC flags ventricular tachycardia; CPR restores circulation

thynC (씽크) AI-based smart bed monitoring system: wearable sensors measuring ECG, heart rate and respiratory rate in real time, with alarms sent to a remote central monitor

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Not stated in the read reports, which describe thynC as the smart bed monitoring system that Daewoong Pharmaceutical supplies (자사 공급)

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The patient wore thynC monitors from 9 January 2026. The system alerted ward staff when the heart rate reached 192 beats per minute and identified ventricular tachycardia. Staff reached the bedside and performed CPR. The report describes that response as occurring within the time needed for resuscitation.

Hospital staff responded to the alarm and performed CPR.

The system's contribution was detection and summons. The wearable ECG stream showed the heart rate climbing to 192 beats per minute. The remote central monitor identified ventricular tachycardia and raised an alarm. The attending director says that is how staff learned of it at once and reached the bedside to begin CPR within the golden time. The resuscitation itself was done by people. The counterfactual rests on the hospital's framing that general-ward patients are not under continuous observation and that deterioration can be noticed late. How long this patient would otherwise have gone unobserved is not recorded. No medical record or independent assessment has been published. The case reached the press through a Daewoong Pharmaceutical announcement of 11 February 2026.

The thynC system detected ventricular tachycardia in a wearable ECG feed and raised an alarm. The hospital reported that staff reached the bedside promptly and began CPR.

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Staff restored the patient’s heartbeat and circulation after an alert that prompted them to reach the bedside.

Improved Physical Health

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People.

An 85-year-old patient at Gwangju Hanguk Hospital.

One patient.

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Yes

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Heart rate, rhythm, and the response that followed resuscitation.

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The hospital reports a heart rate that reached 192 beats per minute, followed by restored heartbeat and circulation after CPR. The patient was transferred to intensive care.

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Daewoong Pharmaceutical released the hospital’s account. No medical record or independent review has been published. The reports do not give survival to discharge, neurological recovery, or the delay that would have occurred without the alarm.

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Developer: Not stated in the read reports, which describe thynC as the smart bed monitoring system that Daewoong Pharmaceutical supplies (자사 공급). Operator: Gwangju Hanguk Hospital (광주한국병원).

Benefit: Gwangju, South Korea. Operator: South Korea.

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Staff must receive the alert and reach the patient within minutes. The nursing manager said that prompt response was harder to ensure at night or with fewer staff.

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19 June 2026. Daewoong completed thynC installations covering 558 beds at Chonnam National University Hospital and Hwasun Chonnam National University Hospital, the largest national-university-hospital deployment so far, among several 2026 hospital rollouts.

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AIBD-0156-source-0001–0006

Numbered references below.

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Independent

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People.

People: 3.

The hospital reports that staff reached a patient who had stopped breathing. It reports that CPR restored heartbeat and circulation, and that the patient was transferred to intensive care. Later survival and neurological recovery are not reported.

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Independently reported

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Healthcare (inpatient monitoring / cardiac arrest). Hospital general-ward remote patient monitoring.

The hospital and Daewoong Pharmaceutical describe thynC as an AI-based smart bed monitoring system. It measures electrocardiogram (ECG), heart rate and respiratory rate through wearable devices. It sends an alarm to a central monitor when an abnormal sign appears. So patients on a general ward, where staff cannot stay at every bedside, are watched in real time as in an intensive care unit. Staff can respond early to deterioration. Flagging a pre-arrest arrhythmia and summoning staff is exactly that design. Daewoong's hospital-division head describes thynC as built to recognize changes in a patient's condition early and help medical staff respond quickly.

Date basis unassessed: 2026 (precision unassessed). Updated: 25 October 2026.

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SHA-256: a5b48e157f25…

oecd_aim: 2026-02-11-8bc8.

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6 revisions. Latest: 25 October 2026.