1. Data, Reports, & Dashboards:
1.1. Patient-Level Data
1.1.1. Mental Health Assessments
1.1.1.1. Psychiatric evaluations
1.1.1.2. Psychological Tests (e.g., cognitive and behavioral tests)
1.1.1.3. Risk Assessments (e.g., suicide risk)
1.1.2. Care Plans
1.1.2.1. Therapy Plans (e.g., cognitive-behavioral therapy, group therapy)
1.1.2.2. Treatment Goals (e.g., reducing anxiety, managing mood swings)
1.1.2.3. Progress Tracking (e.g., symptom improvement, therapeutic milestones)
1.1.3. Medication History
1.1.3.1. Psychotropic Medication (e.g., antidepressants, antipsychotics)
1.1.3.2. Medication Adherence Tracking
1.1.3.3. Side Effects Monitoring (e.g., extrapyramidal symptoms from antipsychotics)
1.1.4. Orders & Results
1.1.4.1. Lab Results (e.g., blood levels for medication monitoring)
1.1.4.2. Imaging Results (e.g., CT scans or MRIs related to neurological conditions)
1.1.4.3. Treatment Orders (e.g., ECT orders, occupational therapy orders)
1.1.5. Allergies
1.1.5.1. Known Allergies to Medications (e.g., reactions to SSRIs)
1.1.5.2. Alerts for Cross-Reactivity (e.g., allergy to one class of drugs)
1.2. Operational & Admin Reports
1.2.1. Ward Census
1.2.1.1. Real-time patient counts in psychiatric wards
1.2.2. Patient Flow & Discharge Reports
1.2.2.1. Understanding admission rates, length of stay, and discharge planning (key for managing bed availability in mental health settings).
1.2.3. Scheduling
1.2.3.1. Appointment and resource utilization reports for outpatient services
1.2.4. Resource Utilization
1.2.4.1. Use of medical equipment and staff, e.g., monitoring how many psychologists, psychiatrists, and other clinicians are required to meet patient demand.
1.2.5. Billing & Finance
1.2.5.1. Data related to charges, claims, reimbursements, and accounts receivable
1.3. Quality & Compliance Dashboards
1.3.1. Compliance Reports
1.3.1.1. Tracking adherence to hospital protocols or regulatory standards (e.g., HIPAA compliance).
1.3.2. Readmission & Mortality Rates
1.3.2.1. Reports showing rates of patient readmissions and clinical outcomes.
1.3.3. Care Quality Metrics:
1.3.3.1. Length of stay (LOS), discharge planning, etc.
1.4. Clinical Decision Support
1.4.1. Order Entry Alerts
1.4.1.1. Physicians receive real-time alerts regarding potential contraindications, such as allergies or drug interactions when placing orders.
1.4.2. Allergy Management
2. SlicerDicer:
2.1. Custom Reports:
2.1.1. Patient Demographics
2.1.1.1. Age, Gender, Socioeconomic Status
2.1.1.2. Education Levels (which can affect treatment engagement)
2.1.1.3. Housing Status (especially for vulnerable populations like homeless patients)
2.1.2. Diagnosis Analysis
2.1.2.1. Mental Health Disorder Prevalence (e.g., schizophrenia, bipolar disorder)
2.1.2.2. Comorbidity Reports (e.g., depression with substance abuse)
2.1.2.3. Longitudinal Analysis of Diagnosis Trends (e.g., increasing anxiety rates over time)
2.1.3. Treatment & Intervention Outcomes
2.1.3.1. Success of Therapy Interventions (e.g., psychotherapy effectiveness in reducing anxiety)
2.1.3.2. Medication Adherence Outcomes (e.g., treatment response in patients adherent to antipsychotics)
2.1.3.3. Comparison of Different Treatment Methods (e.g., individual therapy vs. group therapy)
2.2. Cohort Identification
2.2.1. Patient Groups Based on Diagnosis
2.2.1.1. Diagnosis-Specific Grouping (e.g., patients with schizophrenia or bipolar disorder)
2.2.1.2. Patients with Specific Treatment Needs (e.g., those requiring intensive outpatient programs)
2.2.1.3. Special Population Groups (e.g., adolescents with behavioral disorders, elderly with dementia and depression)
2.2.2. Treatment Response
2.2.2.1. Grouping by Response to Medication (e.g., patients who respond well to SSRIs)
2.2.2.2. Grouping by Response to Therapy (e.g., patients who improve through cognitive-behavioral therapy)
2.2.2.3. Identifying High-Risk Patients for Relapse or Readmission
2.3. Clinical Outcomes: Treatment & Intervention Analysis.
2.3.1. Intervention Effectiveness:
2.3.1.1. Measuring the Effectiveness of Psychosocial Interventions (e.g., changes in mood after therapy)
2.3.1.2. Analyzing the Impact of New Treatment Protocols (e.g., telepsychiatry introduction)
2.3.2. Hospital Readmission Rates
2.3.2.1. Tracking Patients Who Are Readmitted Post-Discharge
2.3.2.2. Identifying Patterns for High Readmission Rates (e.g., patients discharged prematurely or lacking support)