The dataset contains a ratio of the number of patient encounters (i.e., Inpatient Hospitalizations and Emergency Department visits) with a behavioral health diagnosis, per healthcare provider license with a specialty in behavioral health. The ratio is categorized based on the values of the Numerator to Denominator. Larger ratios may indicate a greater need for providers specializing in behavioral health. Smaller ratios may indicate a lower need for providers specializing in behavioral health. The dataset also contains the numbers of the top ten behavioral health diagnoses, by diagnosis category, that were present during the encounters. The table is broken down by county, and it is limited to hospital Inpatient and Emergency Department settings.

This dataset contains counts of inpatient hospitalizations and emergency department visits for patients with Behavioral Health Disorders

This dataset provides counts and percentages of diagnoses broken down by each patient’s Healthy Places Index percentile ranking (based on ZIP code of residence). Healthcare encounters are categorized into four diagnosis groups: mental health disorders, substance use disorders, co-occurring disorders, and all other diagnoses. To view and interact with a fully functioning version of the HPI map and data used in these HCAI analyses of behavioral health, please click the link to visit https://map.healthyplacesindex.org/.

This data set includes monthly counts and rates (per 1,000 beneficiaries) of behavioral health services, including emergency department services, inpatient services, intensive outpatient/partial hospitalizations, outpatient services, or services delivered through telehealth, provided to Medicaid and CHIP beneficiaries, by state. Users can filter by either mental health disorder or substance use disorder. These metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating behavioral health services measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Diagnosis Code - IP, Diagnosis Code - OT. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. Some cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.

This dataset contains annual hospital inpatient summary data based upon the Patient’s County of Residence. The summary data includes discharge disposition, expected payer, sex, Medicare Severity-Diagnosis Related Group (MS-DRG), Major Diagnostic Categories (MDC), race group, admission source, and type of care.

근로복지공단 소속병원 진료현황 통계입니다. 병원별 입원, 외래 진료 현황으로 2014년부터 2022년까지 데이터입니다.

This dataset contains annual hospital inpatient summary data based upon the Patient’s County of Residence. The summary data includes discharge disposition, expected payer, sex, Medicare Severity-Diagnosis Related Group (MS-DRG), Major Diagnostic Categories (MDC), race group, admission source, and type of care.

근로복지공단 소속병원진료현황통계로 연도별 및 권역별 공단 입원, 외래 산재환자 현황입니다. (2014년부터 2022년까지 데이터)