How BJC HealthCare Got Better at Advanced Care Planning Discussions

Why It Matters

Effective ACP reduces costly acute interventions and improves end‑of‑life outcomes, offering a scalable model for ACOs seeking cost containment and higher quality metrics.

Key Takeaways

• Machine learning predicts 30‑day mortality risk for inpatients
• Opt‑out workflow prompts providers to initiate care planning
• Documentation improved from 1:500 to 1:10 ratio
• ICU stay fell 30% with 70% hospice conversion rise
• Outpatient ACP up 3,000% after transition‑of‑care focus

Pulse Analysis

Advanced care planning (ACP) has long been a paradox in U.S. health care: clinicians recognize its value but rarely execute it. BJC HealthCare tackled this by first identifying the right moment and patient cohort. Leveraging every structured data point in its electronic health record, BJC’s informatics team built a predictive model that flags patients with a high 30‑day mortality risk. The model feeds an opt‑out alert to attending physicians, prompting a conversation rather than waiting for a referral cascade that often stalls. This data‑driven trigger, combined with a four‑hour small‑group simulation training using standardized patients, equips clinicians to handle the emotionally charged dialogue confidently.

The rollout was deliberately phased, beginning on hospital floors, expanding to intensive care units, then looping back to primary care and, soon, home‑health services. By embedding the workflow into existing documentation processes, BJC turned ACP into a painless, repeatable task rather than an optional add‑on. The system also tracks hospice eligibility, length of stay, and organ donation outcomes, providing clear metrics for leadership. As a result, BJC’s inpatient mortality index climbed from the 35th to the 75th percentile, ICU stays shrank by roughly a third, and hospice enrollment surged, delivering measurable cost savings and better patient experiences.

For other health systems, BJC’s experience underscores that technology alone isn’t enough; cultural buy‑in and streamlined processes are critical. The algorithm’s success hinges on an opt‑out design that respects provider autonomy while ensuring no high‑risk patient falls through the cracks. Moreover, the dramatic rise in outpatient ACP—over 3,000% after targeting transition‑of‑care visits—shows that timing and setting matter as much as the conversation itself. As ACOs and value‑based care models seek to curb unnecessary hospitalizations, BJC’s integrated, data‑centric approach offers a replicable blueprint for turning ACP from a low‑priority task into a cost‑effective, patient‑centered standard of care.