No-show prediction that lets you over-book intelligently. Readmission risk scoring at discharge for enhanced post-discharge care. Length-of-stay forecasting for bed planning. Capacity forecasts for staffing. Medication adherence scoring for chronic-care programs. All deployable on-prem inside your hospital data centre with SHAP explanations for every prediction.
Insta HMS, MediXcel, Practo, Bahmni. These systems record every appointment, every diagnosis, every admission, every discharge. That data holds the answers to questions like "which patient will no-show tomorrow?" and "which patient will bounce back within 30 days?" but the HMS treats it as a record, not a signal.
A predictive ML layer sits on top of your HMS. It reads the data, learns the patterns, produces scores and flags that your care team acts on. Front desk over-books to fill likely no-show slots. Discharge planners flag high-risk patients for enhanced follow-up. Ops team plans staffing 2 weeks out with a real forecast, not a gut guess.
Predicts appointment no-shows 24-48 hours ahead using booking-to-visit gap, prior history, appointment type, weather, day of week. Front desk over-books intelligently, cuts idle slots.
78-85% AUCScores every discharge for 30-day all-cause readmission risk. Uses diagnosis, comorbidities, length-of-stay, discharge medications, social determinants. Flags high-risk for enhanced post-discharge care.
72-80% AUCPredicts likely LOS at admission for bed planning, discharge coordination, insurance pre-auth. Improves bed turnover and reduces LOS-driven insurance disputes.
MAPE 15-25% typicalForecasts bed occupancy, OT scheduling load, OPD footfall at daily / weekly granularity. Ops team uses forecasts for staffing, bed allocation, elective surgery scheduling.
MAPE 8-15% for stable facilitiesFor chronic-care programs. Scores each patient's 30-day medication adherence risk. Flags likely non-adherent patients for pharmacist call, WhatsApp nudge, or care-coordinator touchpoint.
Adherence lift 25-45% on interventionsFor TPAs and hospital billing teams. Predicts likelihood of claim approval, expected TAT, and required documentation at pre-auth stage. Reduces claim denials and speeds up cashless approvals.
15-30% faster pre-auth cycle15-min call. Tell us your facility type (hospital, clinic, chain, lab, TPA), patient volume, top operational or clinical pain points. We come back with a data-audit checklist and prototype scope in 48 hours.
Book Free 15-min CallFacility type review, HMS data audit, compliance scope (DPDP / HIPAA / BAA), bias assessment. Written feasibility doc.
Baseline model on your data. Accuracy report, SHAP samples, clinical-impact projection. Your medical and ops leadership reviews.
Feature store, retraining pipeline, HMS integration, on-prem deployment (if required), SHAP explainer, audit logs, security review.
Drift detection, quarterly retraining, bias monitoring, audit-log maintenance, clinical outcome reviews.
Book a 15-min call. Tell us your facility type, patient volume, top operational or clinical pain points. We come back with a data-audit checklist and prototype scope in 48 hours.