Datasets:
File size: 4,633 Bytes
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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)
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