Modern healthcare collects enormous amounts of EMR, claims and other data.  Unfortunately, there is a severe shortage of outcomes data, especially outcomes data verifiably linked to a specific clinical hypothesis and intervention.

Outcomes Data Categories

Any medical evidence must be correlated with standardized outcomes measurements.  They may be based on laboratory analyses, standardized standard PROMs, customized scoring algorithms, imaging, telehealth assessments or outputs from medical wearables.

Minimizing Clinical Burden

Capturing outcomes data, especially longitudinal patient data, is a major challenge for clinicians.  Benchmarc™ and related processes remove this burden from the provider, while maintaining strong patient compliance, data integrity and 24/7 access.

User Experiences

Outcomes data are entered by physician’s assistants, laboratory technicians, patients, caregivers and practitioners.  Circles accommodates the UX expectations of each, to minimize burden and errors.  Moreover, whatever the source and timing of data, it remains fully auditable and integrated within the Case record.

Developing Value

Outcomes data of course support clinical decision-making; but they can represent far more value as well.  Deeper patient engagement, articles, reimbursement, new service lines, investigator fees, influence among peers, conference travel purses and product improvement are examples.
Circles are based on capturing all possible value from outcomes data.

Learn More

Articles

Patient Reported Outcomes in Orthopaedics

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Why is Real-World Data (RWD) Important for any clinician?

Improving Patient Engagement through Competition

Client Use Cases

Catalan Trauma

Comparing Long-Term Outcomes Across Varying Grades of Knee OA: A Real World Study

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