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Clinical Workflows

Logic in Remote Patient Monitoring (RPM)

RPM generates massive amounts of data. Using logic stages allows care teams to filter out the noise.

Logic in Remote Patient Monitoring (RPM)
8 January 2024
2 min read

Introduction: Logic Stages

For Remote Patient Monitoring (RPM), Logic Stages act as the filter between raw device data and the care team. Without these stages, providers would be overwhelmed by thousands of non-critical alerts, leading to alarm fatigue and missed clinical interventions.

How to set up

Setting up an RPM alert logic requires baseline data and clinical thresholds:

1. How to set up

Setting up RPM Logic Stages in your workflow is straightforward and intuitive:

2. How to set up

Setting up RPM Logic Stages in your workflow is straightforward and intuitive:

  1. Sync patient wearable data to the RPM platform via API.
  2. Establish “Red Flag” thresholds (e.g., Blood Pressure > 180/120).
  3. Connect the Logic stage to an automated SMS or phone call trigger.
RPM data flow
Clinical Note

Ensure all RPM data transmission is encrypted (AES-256) and follows HIPAA requirements for data at rest and in transit.

Automated routing of data

The RPM logic ensures that only “actionable” data reaches the physician. Normal readings are logged for the monthly summary, while abnormal readings trigger an immediate workflow escalation.

Aspect Details
Device Interoperability
  • Bluetooth Low Energy (BLE): For home-based medical peripherals

  • Cellular Hubs: Direct transmission for patients without smartphones

  • API Integration: Syncing data directly into the hospital's EMR

  • Cloud Storage: Securely hosting longitudinal patient data

Device Interoperability
  • Bluetooth Low Energy (BLE): For home-based medical peripherals

  • Cellular Hubs: Direct transmission for patients without smartphones

  • API Integration: Syncing data directly into the hospital's EMR

  • Cloud Storage: Securely hosting longitudinal patient data

Key takeaways

  • Scalability: Monitor 1,000+ patients with a small clinical team.
  • Proactive Care: Intervene before a patient requires hospitalization.
  • Data Quality: Filters out false alerts caused by device misuse.
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