Which patients are likely to fall into the ASM low back pain cohort?
Review EHR panels, diagnoses, procedures, Medicare attribution signals, and episode history before the reporting year starts.
The Ambulatory Specialty Model moves low back pain care toward accountable, episode-based performance. The near-term opportunity is practical: identify the right patients, organize the workflow, document consistently, and track outcomes without burying clinicians in manual work.
Can your practice find, stratify, follow, and report on every likely ASM low back pain episode?
If the answer is partly manual, ASM readiness becomes an operating problem, not just a billing or compliance problem. The practices that prepare early will know which patients are attributed, which workflows are missing, and which outcomes need to be captured.
Review EHR panels, diagnoses, procedures, Medicare attribution signals, and episode history before the reporting year starts.
Use severity, function, opioid risk, utilization, behavioral health flags, and escalation risk to guide the care pathway.
Define the minimum documentation set for pain, function, treatment plan, follow-up, outcomes, and audit-ready exports.
Cluster patients by diagnosis, risk, readiness, and treatment plan so group visits and follow-up can be operationalized.
Plan between-visit monitoring, app engagement, reminders, symptom tracking, and escalation protocols.
Track readiness, outcomes, utilization, adherence, missing data, and revenue exposure in a format leaders can review weekly.
PainOS is being built as an ASM operating layer for pain practices: patient identification, risk stratification, group-visit clustering, between-visit follow-up, and compliance-grade reporting in one workflow.