Remote Health Monitoring Alerts

This dataset provides detailed records of alerts generated by remote health monitoring devices, including alert types, severity, escalation actions, and resolution steps. It enables comprehensive tracking of patient safety events, device performance, and care team responses, supporting clinical workflows and quality improvement initiatives. The dataset is ideal for real-time monitoring, compliance auditing, and predictive analytics in healthcare environments.

  • last updated 22 Jul 2025
  • by GoMask
The brief that made it

Real-time monitoring of patient safety and device performance

Sample rows

preview · 8 of 200 rows · all 17 columns
alert_idstringescalation_levelstringthreshold_valuefloatescalatedbooleanunitstringdevice_idstringpatient_idstringalert_typestringalert_levelstringmeasured_valuefloatalert_timestampdatetimeescalation_timestampdatetimeresolution_statusstringresolution_timestampdatetimeresolved_by_user_idstringalert_messagestringresolution_stepsstring
ALRT00001none110falsebpmDEV0001PAT0001heart_ratewarning114.52024-04-17T08:01:23ZblankpendingblankblankHeart rate reading slightly above normal threshold detected at 8:01 AM.blank
ALRT00002emergency_services160truemmHgDEV0002PAT0002blood_pressurecritical210.42024-03-25T21:45:09Z2024-03-25T21:47:25Zresolved2024-03-25T22:32:10ZUSR002Critical: Systolic blood pressure far exceeded threshold.Patient stabilized and transported to ER by paramedics.
ALRT00003none38false°CDEV0003PAT0003temperatureinfo38.92024-05-01T12:15:34ZblankpendingblankblankTemperature reading higher than normal alert threshold.blank
ALRT00004doctor87true%DEV0004PAT0004oxygen_saturationcritical76.32024-04-05T01:07:47Z2024-04-05T01:09:12Zresolved2024-04-05T02:01:55ZUSR005Critical: Oxygen saturation dropped significantly below threshold.Supplemental oxygen administered and patient monitored.
ALRT00005noneblankfalseblankDEV0003PAT0005device_errorinfoblank2024-04-15T13:17:48Zblankresolved2024-04-15T13:25:02ZUSR012Device performed unscheduled self-check. No issues found.Device check verified remotely by technical staff.
ALRT00006none130falsemmHgDEV0005PAT0006blood_pressureinfo134.22024-05-03T08:32:18ZblankpendingblankblankBlood pressure slightly above recommended morning threshold.blank
ALRT00007emergency_services120truebpmDEV0006PAT0007heart_ratecritical128.72024-04-30T03:22:15Z2024-04-30T03:23:44Zresolved2024-04-30T04:10:53ZUSR003Critical heart rate spike detected during sleep cycle.On-site intervention performed, patient stabilized.
ALRT00008none38.5false°CDEV0007PAT0008temperaturewarning38.62024-04-10T09:10:07ZblankpendingblankblankTemperature nearing upper limit for safe monitoring.blank

What the 200 rows show

from the 200-row sample

Emergency_services (escalation level) stands out: 29 of its 29 rows have escalated = true, against 25 of 171 for the rest.

  • 27%escalated = true
  • 90.0median threshold_value
  • 3alert levels
  • 4resolution statuses
  • 6alert types
  • 88.4median measured_value
Escalated rate by escalation_levelescalated = true
0%50%100%0%none0 of 146100%nurse5 of 5100%doctor14 of 14100%emerge…29 of 29100%other6 of 6
threshold_value148 rows, in bands of 20
020406317340181912120100180threshold_value →

Median 90.0, from 5.0 to 180.0.

unit148 rows with a value · 52 left blank
  1. bpm41
  2. mmHg40
  3. %36
  4. °C31
17 columns by typefrom the column list below
  • string 11
  • float 2
  • datetime 3
  • boolean 1

Columns

17 columns in four groups
blueprint · 17 columns
columntypedescriptionexample
Text 11 columns
alert_idstringUnique identifier for each alert generated by a remote health monitoring device.uniqueALRT00001
device_idstringUnique identifier for the remote health monitoring device that generated the alert.DEV0001
patient_idstringUnique identifier for the patient associated with the alert.PAT0001
alert_typestringType or category of the alert (e.g., heart_rate, blood_pressure, device_error).6 valuesheart_rate
alert_levelstringSeverity or priority level of the alert (e.g., info, warning, critical).info · warning · criticalwarning
alert_messagestringDetailed message or description of the alert.Heart rate reading slight…
unitstringUnit of measurement for the threshold and measured values (e.g., bpm, mmHg, °C, %).4 units · optionalbpm
escalation_levelstringLevel or recipient of escalation (e.g., nurse, doctor, emergency_services).none · nurse · doctor · emergency_services · other · optionalnone
resolution_statusstringCurrent status of the alert (e.g., pending, resolved, dismissed, false_alarm).pending · resolved · dismissed · false_alarmpending
resolution_stepsstringDescription of actions taken to resolve the alert.optionalPatient stabilized and tr…
resolved_by_user_idstringIdentifier of the user (e.g., clinician, operator) who resolved the alert.optionalUSR002
Numbers 2 columns
threshold_valuefloatThreshold value that triggered the alert (e.g., heart rate exceeded 120 bpm).optional110
measured_valuefloatActual measured value from the device at the time of the alert.optional114.5
Dates and times 3 columns
alert_timestampdatetimeDate and time when the alert was generated.2024-04-17T08:01:23Z
escalation_timestampdatetimeDate and time when the alert was escalated.optional2024-03-25T21:47:25Z
resolution_timestampdatetimeDate and time when the alert was resolved or closed.optional2024-03-25T22:32:10Z
True or false 1 column
escalatedbooleanIndicates whether the alert was escalated to a higher authority or care provider.false

Use it for

  • escalated27%54 of 200 rowsmean threshold value …83.0none69.6nurse106.8doct…113.7emer…

    A healthcare dashboard

    The escalated rate, threshold_value by escalation_level and a breakdown of unit. Excel, Power BI or Tableau.

  • Why do 54 of 200 rows have escalated = true?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable alerts with device_id, patient_id and alert_type to fill a screen in front of a buyer.

Not quite right?

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blueprint · remote-health-monitoring-alerts

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 17 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Each alert links device, patient, and metric.
  • Severity and urgency classified.
  • Time to resolution and intervention captured.
  • Escalation path traced (auto/manual).
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
remote-health-monitoring-alerts

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