From Device Clouds to Clinical Action: The Missing Middle Layer in Medical Device Ecosystems
Why Raw Data Cannot Drive Care
Device telemetry shows usage and sensor readings, but it does not show diagnoses, medications or referral notes. EHR systems contain those details but cannot parse device formats. Claims systems track authorizations but cannot interpret observations.
What the Middle Layer Actually Does
The middle layer aligns identifiers from the device cloud, EHR and billing system. It standardizes observation values into common formats. It resolves differences in naming across vendors. It also validates completeness of each record.
Example: Turning Signals Into Action
A patient shows a steady drop in usage across one week.
- Device cloud: four hours, then one hour.
- EHR: notes on congestion.
- Billing: upcoming authorization review.
Without the middle layer, these events remain isolated. With it, a combined alert reaches the coordinator. The team calls the patient. Therapy course adjusts before non adherence leads to a gap in care.
Longitudinal Insight Through Alignment
Once all data sources align, long term patterns emerge. Usage dips can be linked with comorbidities. Device failures can be seen across patient groups. Payer rules can be tied to therapy milestones. This improves decisions across clinical, operational and financial workflows.
