| ---
|
| license: cc-by-4.0
|
| task_categories:
|
| - tabular-classification
|
| - tabular-regression
|
| - time-series-forecasting
|
| language:
|
| - en
|
| tags:
|
| - synthetic
|
| - healthcare
|
| - behavioral-health
|
| - patients
|
| - clinical-operations
|
| - electronic-health-records
|
| - EHR
|
| - EMR
|
| - telehealth
|
| pretty_name: Solstice Behavioral Health Pack
|
| size_categories:
|
| - 10K<n<100K
|
| configs:
|
| - config_name: assessments
|
| data_files:
|
| - split: train
|
| path: data/assessments/train.csv
|
| - config_name: bed_capacity_census
|
| data_files:
|
| - split: train
|
| path: data/bed_capacity_census/train.csv
|
| - config_name: dashboard_suggestions
|
| data_files:
|
| - split: train
|
| path: data/dashboard_suggestions/train.csv
|
| - config_name: de_escalation_interventions
|
| data_files:
|
| - split: train
|
| path: data/de_escalation_interventions/train.csv
|
| - config_name: discharge_plans
|
| data_files:
|
| - split: train
|
| path: data/discharge_plans/train.csv
|
| - config_name: episodes_of_care
|
| data_files:
|
| - split: train
|
| path: data/episodes_of_care/train.csv
|
| - config_name: facilities
|
| data_files:
|
| - split: train
|
| path: data/facilities/train.csv
|
| - config_name: follow_up_events
|
| data_files:
|
| - split: train
|
| path: data/follow_up_events/train.csv
|
| - config_name: medication_management
|
| data_files:
|
| - split: train
|
| path: data/medication_management/train.csv
|
| - config_name: metric_definitions
|
| data_files:
|
| - split: train
|
| path: data/metric_definitions/train.csv
|
| - config_name: patients_synthetic
|
| data_files:
|
| - split: train
|
| path: data/patients_synthetic/train.csv
|
| - config_name: payer_authorization
|
| data_files:
|
| - split: train
|
| path: data/payer_authorization/train.csv
|
| - config_name: programs
|
| data_files:
|
| - split: train
|
| path: data/programs/train.csv
|
| - config_name: quality_metrics_daily
|
| data_files:
|
| - split: train
|
| path: data/quality_metrics_daily/train.csv
|
| - config_name: referrals
|
| data_files:
|
| - split: train
|
| path: data/referrals/train.csv
|
| - config_name: restraint_seclusion_events
|
| data_files:
|
| - split: train
|
| path: data/restraint_seclusion_events/train.csv
|
| - config_name: safety_events
|
| data_files:
|
| - split: train
|
| path: data/safety_events/train.csv
|
| - config_name: staffing_shifts
|
| data_files:
|
| - split: train
|
| path: data/staffing_shifts/train.csv
|
| ---
|
|
|
| # Solstice Behavioral Health Pack (Sample)
|
|
|
| **A comprehensive synthetic dataset for behavioral health operations.** This dataset simulates clinical workflows, patient trajectories, and facility metrics for inpatient and outpatient behavioral health environments.
|
|
|
| Built by [Solstice AI Studio](https://www.solsticestudio.ai/datasets) as a free sample of a larger commercial pack. 100% synthetic — no real patient, provider, or facility data.
|
|
|
| ## What's in the box
|
|
|
| This dataset consists of 18 interconnected tables covering:
|
| - **Patient Dimensions:** `patients_synthetic`, `facilities`, `programs`
|
| - **Clinical Fact Tables:** `episodes_of_care`, `assessments`, `medication_management`
|
| - **Operational Metrics:** `bed_capacity_census`, `staffing_shifts`, `quality_metrics_daily`
|
| - **Safety & Quality:** `safety_events`, `restraint_seclusion_events`, `de_escalation_interventions`
|
| - **Administrative:** `referrals`, `payer_authorization`, `discharge_plans`, `follow_up_events`
|
|
|
| ## Use Cases
|
| - **Clinical Predictive Modeling:** Train models to predict readmission risk or length of stay.
|
| - **Operational Efficiency:** Benchmarking staffing rollups vs. bed capacity.
|
| - **Safety Analytics:** Identifying correlations between acuity levels and safety events.
|
| - **RAG & Agent Benchmarking:** Testing autonomous agents on complex healthcare schemas.
|
|
|
| ## Data Provenance
|
| Generated using Solstice’s PhantasOS / SIMA simulation engine. The simulation models medically consistent state transitions for behavioral health conditions (e.g., Depression, SUD, Sepsis) and administrative workflows matching standard EHR patterns.
|
|
|
| ## Responsible Use Statement
|
| Standard packs do not contain PHI or real patient records. They are intended for research, testing, prototyping, and model development, not clinical decision-making.
|
|
|
| ## Get the Full Pack
|
| Scale this dataset to 1M+ episodes, custom facilities, and multi-year timelines.
|
| [www.solsticestudio.ai/datasets](https://www.solsticestudio.ai/datasets)
|
|
|
|
|
