Opus

CAC in behavioral health is brutal. Our customers can spend hundreds to thousands of dollars just to get a phone to ring. And when it rings, it's almost never a casual inquiry. It's someone at their worst moment, or a parent making the hardest call of their life. If that call rolls to voicemail at 2 am on a Saturday, they don't wait. They call the next facility that came up on Google, and you just burned marketing dollars AND let down the person when they needed you most. We partnered with DIAL3D to fix one of the biggest cost centers in BH today. Their AI voice and chat agents cover every inbound call and chat, day or night. They qualify the caller, warm-transfer to admissions, or book the callback. The lead syncs automatically into the Opus CRM, and from there, our platform carries it through admission, documentation, compliance, and billing on one system. Every dollar you spend to make the phone ring finally converts, and when someone in crisis reaches out, the call is picked up every time. If you're on Opus and missing after-hours calls, let's talk. DIAL3D is giving our customers a 30-day free trial with no contract, so you can test it on your own call volume. Big thanks to Sam S. & Michael Audette for making this happen! Full announcement in the comments.

Care coordination breaks in the tiny spaces between steps. Our most recent article gets specific: shared care plans need named owners and due dates, referrals should stay open until scheduled or closed, and discharge workflows can block completion until follow-up is confirmed. If your EHR shows notes but not handoff status, would you catch the next gap in time? Read the Opus article: https://lnkd.in/gH8yKEET

Relapse risk rarely announces itself in one clean data point. Our recent article makes a useful distinction: predictive analytics in SUD care depends on structured EHR fields, narrative notes, and longitudinal trends, then needs clinician review before any care-plan change. It also calls out concrete actions like more visits, safety planning, telehealth follow-up, and remote monitoring. Where would your team trust a score, and where would you want human override? Read the full article: https://lnkd.in/grNWtazG

SUD participation problems rarely announce themselves at discharge. They usually start earlier: no care plan touchpoint in the first 72 hours, a rising week-one AMA rate, attendance slipping before anyone sees the pattern, or a discharge plan that never turns into a 7-day next appointment. That is why one facility-wide participation rate is too blunt. SUD programs need to read initiation, engagement, retention, and follow-through separately, then segment by level of care, payer, diagnosis, age group, and therapist. A few benchmarks worth watching closely: 72-hour care plan touchpoints Weekly no-show trends, often 18% to 25% in SUD settings AMA rates, ideally kept under 15% 90-day retention as a practical marker for treatment depth 7-day next-appointment attendance after discharge When these numbers sit in one dashboard, leadership can see whether the issue is intake momentum, clinical engagement, payer-driven length of stay, or post-discharge continuity. Read the full Opus article: https://lnkd.in/gipr_Yac #BehavioralHealth #SUDTreatment #EHR #HealthcareOperations

At intake, "we will update the chart later" is not a harmless delay. Behavioral health teams make early decisions from fast-changing information: active diagnoses, prior admissions, current prescriptions, allergies, substance use history, recent lab results, crisis plans, and risk history. When that information is scattered across calls, faxes, outside records, and memory, the slowdown is obvious. The risk is less obvious, but bigger: therapy, psychiatry, admissions, billing, and crisis response can all end up working from different versions of the truth. Real-time access changes the operating rhythm. Intake moves faster. Prescribing can be checked against allergies and interactions before an order goes out. Crisis teams can see the latest encounter notes instead of guessing from stale context. For multi-site behavioral health organizations, live records are not a reporting upgrade. They are how clinical judgment gets the current picture in time to matter. Read the full article: https://lnkd.in/g6-Z75ni #BehavioralHealth #EHR #ClinicalOperations #CareCoordination

AI assessment tools can save time only if the handoff is designed before go-live. Our recent article puts useful numbers around that tradeoff: Manual PHQ-9 administration can take 8 to 12 staff minutes per patient. Automated delivery can bring that under one minute. Some conversational intake workflows report 80% to 95% completion, compared with 40% to 60% for standard portal forms. But the operational question is not "can AI collect information?" It is whether the workflow has clinician review, PHQ-9 Item 9 crisis routing, audit timestamps, HIPAA controls, Part 2 segmentation for SUD programs, and documentation that supports billing. For behavioral health teams, the win is not automation by itself. It is faster screening with a record clinicians can trust and billing teams can defend. Read the full Opus guide here: https://lnkd.in/gWC_Q5r7

Relapse risk usually shows up in fragments before it becomes a crisis. A missed group. A medication gap. A change in toxicology, cravings, stress, or attendance. The useful question for SUD programs is whether those signals live in one place early enough for the team to act. Our recent article gets practical about what AI relapse prediction actually needs: structured clinical history, MOUD adherence, labs, patient-reported measures, defined 90- and 120-day relapse windows, and governance around HIPAA and 42 CFR Part 2. One detail worth noting: a cited Random Forest model using 108 factors reached 0.81 sensitivity at 90 days and 0.86 at 120 days. That only matters if the score turns into a real workflow: a task, a chart flag, a dashboard list, and documented follow-up. AI in SUD care is strongest when it helps clinicians see risk sooner and keeps outreach accountable. Read the Opus breakdown: https://lnkd.in/e9fKwQqg #SUDTreatment #BehavioralHealth #EHR #ClinicalOperations

If admissions feel busy but unpredictable, lead count is the wrong place to stop. The sharper question is where the funnel starts leaking. Our most recent article lays out 14 CRM metrics that connect marketing, intake, insurance, scheduling, and admissions into one operating view. A few benchmarks make it practical: a 5-minute response can lift contact odds by 900%; 73% of people seeking addiction treatment may move on if they do not connect within 24 hours; Inquiry-to-VOB averages about 30%, while top centers can reach 55%+; and VOB-to-Admission averages about 10%, while top centers can reach 25%+. That turns CRM reporting into an operating map: source quality, first response, follow-up cadence, VOB, authorization, no-shows, financial clearance, and the admission-to-treatment handoff. If the team can see the exact stage where momentum drops, the fix gets much more concrete. Read the Opus article: https://lnkd.in/gYVe7swJ #BehavioralHealth #Admissions #CRM #HealthcareOperations

A successful login tells you almost nothing after a compliance incident. A usable behavioral health audit trail must reconstruct five things: who, what, when, where, and why. That means capturing failed access attempts, chart searches, break-glass access and the stated reason, edits, exports, disclosures, role changes, telehealth activity, secure messages, and interface traffic. SUD workflows add another layer. For records protected by 42 CFR Part 2, teams need the consent state at the time of access and a record of blocked disclosure attempts. The operational test is whether compliance, clinical, and security teams can trace one event across the EHR, billing platform, identity tools, and integrations without gaps or conflicting timestamps. We published a practical checklist for reviewing audit coverage across the full behavioral health technology stack: https://lnkd.in/gzNgN8Bz #BehavioralHealth #HIPAA #HealthcareCompliance #HealthIT #EHR