Name
Organizational Vital Signs: Using CoCM Data to Build and Scale Integrated Care
Description

Just as a patient’s vital signs predict clinical decline, your CoCM registry data holds the key to the operational health of your program and workforce. This session moves data out of the exam room and into the boardroom, teaching leaders how to diagnose and treat common program ailments. Stop guessing about staffing needs and start using evidence-based "vital signs" to inform sustainable scaling and ultimately improved access to care for patients. We will demonstrate how metrics like referral velocity, symptom acuity, and community resource availability influence sustainable CoCM expansion across diverse settings like Primary Care and OBGYN.

Content Level
Advanced
Tags
Collaborative Care Model of Integrated Care, Quality improvement programs, Workforce development
Session Type
Concurrent
Objective 1
Identify two key "operational vital signs" that serve as leading indicators for workforce and program health.
Objective 2
Analyze program-level data to distinguish between "false capacity" (requiring training) and true saturation (requiring hiring).
Objective 3
Apply a data-driven decision matrix to resolve common leadership dilemmas, such as pinpointing "bottlenecks" in patient graduation and optimizing Psychiatric Consultant utilization.
Content Reference 1

Nichols, S. R., Hart, R., Dills, A., Heyman, R., Slep, A., & Collins, P. (2022). Factors that impact caseload and case acuity in outpatient mental health and family maltreatment. Social Work Research, 46(4), 280-292.

Content Reference 2

Carlo, A. D., McNutt, C., & Talebi, H. (2024). Extending the Clinical Impact of Behavioral Health Prescribing Clinicians Using the Collaborative Care Model (CoCM). Journal of General Internal Medicine, 39(8), 1525-1527.

Content Reference 3

Whitfield, J., LePoire, E., Stanczyk, B., Ratzliff, A., & Cerimele, J. M. (2022). Remote collaborative care with off-site behavioral health care managers: A systematic review of clinical trials. Journal of the Academy of Consultation-Liaison Psychiatry, 63(1), 71-85.

Content Reference 4

Smith, J. D., Fu, E., Rado, J., Rosenthal, L. J., Carroll, A. J., Atlas, J. A., ... & Csernansky, J. (2021). Collaborative care for depression management in primary care: A randomized roll-out trial using a type 2 hybrid effectiveness-implementation design. Contemporary clinical trials communications, 23, 100823.

Content Reference 5

AIMS Center (University of Washington). (2024). Caseload Management & Registry Tools.