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ICU device integration and early warning

The patient worsening, flagged before the crash.

BEFORE ITAFTER ITICU device integrationand early warningzMed HealthcarePARTTele-ICU+COVERSDevice feedsAutomatic chartingEarly warningFewer false alarmsPatient monitor↗ MEDICAL DEVICESsendsvital signsInfusion pump↗ MEDICAL DEVICESsendsinfusionratesPoint-of-caretesting (POCT)↗ LABORATORY DIAGNOSTICSsendsblood-gasresultsrecordsvital signsHospital EHR↗ HEALTHCARE ITcontinueswatchingat homeRemote patientmonitoring wearables↗ CHRONIC CARE MANAGEMENTCONCEPTS IT USESAnomaly detectionTime series dataBEFORE ITAFTER ITICU device integrationand early warningzMed HealthcarePARTTele-ICU+COVERSDevice feedsAutomaticchartingEarly warningFewerfalse alarmsPatient monitor↗ MEDICAL DEVICESsendsvital signsInfusion pump↗ MEDICAL DEVICESsendsinfusionratesPoint-of-caretesting (POCT)↗ LABORATORYDIAGNOSTICSsendsblood-gasresultsrecordsvital signsHospital EHR↗ HEALTHCARE ITcontinueswatchingat homeRemote patientmonitoringwearables↗ CHRONICCARE MANAGEMENTCONCEPTS IT USESAnomaly detectionTime series dataBEFORE ITPatient monitor↗ MEDICAL DEVICES↓ sends vital signsInfusion pump↗ MEDICAL DEVICES↓ sends infusion ratesPoint-of-care testing (POCT)↗ LABORATORY DIAGNOSTICS↓ sends blood-gas resultsICU device integrationand early warningzMed HealthcareTele-ICU+Device feedsAutomatic chartingEarly warningFewer false alarmsAFTER IT↓ records vital signsHospital EHR↗ HEALTHCARE IT↓ continues watching at homeRemote patient monitoring wearables↗ CHRONIC CARE MANAGEMENTCONCEPTS IT USESAnomaly detectionTime series data
ICU device integration reads the monitor, ventilator and pumps around a bed in Visakhapatnam, and its combined score rises from 2 to 7 over six hours before any single alarm sounds.
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ICU device integration and early warning is software that connects the machines around each intensive care bed to one system, records the patient's vital signs automatically, and warns the doctors early when a patient is getting worse. Vital signs are the basic measures of the body: heart rate, blood pressure, breathing rate, oxygen level and temperature.

An intensive care unit (ICU) bed is surrounded by machines. A patient monitor shows the heartbeat, blood pressure and oxygen level. A ventilator breathes for the patient. Infusion pumps feed medicines into a vein. Each machine has its own screen and its own alarms, and they often come from different makers. In many hospitals, a nurse still copies the readings by hand onto a paper chart every hour.

Integration software removes that copying. It connects to each machine through the machine's data port or the hospital network, and reads its values every minute. It translates each maker's data format into one common format. Then it saves the readings in the hospital EHR, with the time of each reading. Values stamped with the time they were taken are called time series data. Results from bedside blood tests, such as the blood-gas results of point-of-care testing, are added too.

With every reading in one place, the software can look at them together. A single alarm, such as a low oxygen reading when the patient moves an arm, is often a false alarm. A slow change in several readings at once is more worrying. So the software calculates an early warning score from all the vital signs. It also uses anomaly detection to spot a pattern that departs from this patient's own normal readings.

Imagine a 58-year-old man in an ICU in Visakhapatnam, one day after a major abdominal operation. Over six hours, his heart rate rises from 88 to 112 beats a minute. His breathing rate rises from 16 to 24 breaths a minute, and his blood pressure falls slowly. No single reading has crossed its alarm limit, so no machine has beeped. But his combined score has risen from 2 to 7. The software alerts the doctor on duty. She examines him, suspects an infection in his blood, orders tests and starts antibiotics within the hour. Treatment that starts a few hours earlier is usually simpler and more likely to work.

Fewer false alarms matter as well. ICU machines beep hundreds of times a day, and nurses who hear constant alarms can begin to miss the real ones. The same device data also lets specialists watch the ICU from far away, through a tele-ICU. After patients go home, some of them are watched in a similar way through remote patient monitoring wearables.

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