Datasets:
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 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