<?xml version="1.0" encoding="UTF-8"?>
<rdf:RDF xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:dct="http://purl.org/dc/terms/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dcat="http://www.w3.org/ns/dcat#" xmlns:vcard="http://www.w3.org/2006/vcard/ns#">
    <dcat:Catalog>
        <dcat:dataset>
            <dcat:Dataset>
                <dct:description xml:lang="kr">건강보험 중환자실 입원환자 연령군별 진료비 통계 / 진료일자 기준(심사분은 각 진료년+4개월) (예) 진료년월: 2024.1월~12월, 심사년월: 2024.1월~2025.4월 / 보험자: 건강보험 / 입원환자(입원명세서) 중 일반, 소아, 신생아 중환자실 입원료 대상(중환자실 전담의 및 격리관리료 포함X)<br/>※ 해당 통계는 요양기관에서 청구한 요양급여비용 명세서에 대해 심사 결정한 내용을 기준으로 산출됨<br/>※ 연령별 환자는 명세서에 기재된 수진자의 만(滿)나이 기준으로 범주 내 동일인의 중복을 제거한 값이지만, 진료시점에 따라 중복집계될 수 있으며 다른 범주와 단순합산할 경우 중복이 발생할 수 있음</dct:description>
                <dct:description xml:lang="en">Statistics on medical expenses by age group for patients admitted to intensive care units under the National Health Insurance Service / Based on the date of treatment (for review, each year of treatment + 4 months) (Example) Treatment year and month: January - December 2024, Review year and month: January 2024 - April 2025 / Insurer: National Health Insurance Service / Among hospitalized patients (hospitalization statement), general, pediatric, and neonatal intensive care unit hospitalization fees are subject to (ICU specialist and isolation management fees are not included) ※ The statistics are calculated based on the review decision on the nursing care cost statement claimed by the nursing institution. ※ Patients by age are values that remove duplication of the same person within the category based on the full age of the examinee listed on the statement, but there may be duplicate counting depending on the time of treatment, and duplication may occur if simply added with other categories.</dct:description>
                <dct:title xml:lang="kr">건강보험심사평가원_중환자실 입원환자 연령군별 건강보험 진료 통계</dct:title>
                <dct:title xml:lang="en">Health Insurance Review and Assessment Service_Health insurance treatment statistics by age group for patients hospitalized in intensive care unit</dct:title>
                <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2025-08-19</dct:issued>
                <dct:modified rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2025-08-27</dct:modified>
                <dct:publisher>
                    <foaf:Organization>
                        <foaf:name>건강보험심사평가원</foaf:name>
                        
                    </foaf:Organization>
                </dct:publisher>
                <dcat:contactPoint>
                    <vcard:Organization>
                        <vcard:organization-unit>빅데이터실</vcard:organization-unit>
                        <vcard:hasTelephone rdf:resource="033-739-1008"/>
                    </vcard:Organization>
                </dcat:contactPoint>
                <dct:conformsTo >국민건강보험법</dct:conformsTo>
                <dcat:theme>보건 - 건강보험</dcat:theme>
                <dcat:keyword xml:lang="kr">진료정보,건강보험,중환자실,입원,의료통계</dcat:keyword>
                <dcat:keyword xml:lang="en">Medical information,health insurance,intensive care unit,Hospitalization,Medical statistics</dcat:keyword>
                <dct:rights>공공저작물_출처표시</dct:rights>
                <dct:accrualPeriodicity>연간</dct:accrualPeriodicity>
                
                <dcat:landingPage rdf:resource="https://www.data.go.kr/data/15052314/fileData.do"/>
                <dcat:distribution>
                    <dcat:Distribution>
                        <dct:accessURL ></dct:accessURL>
                        <dcat:description></dcat:description>
                        <dcat:format>csv</dcat:format>
                        <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2025-08-19</dct:issued>
                        <dcat:title>건강보험심사평가원_중환자실 입원환자 연령군별 건강보험 진료 통계_20241231</dcat:title>
                    </dcat:Distribution>
                </dcat:distribution>
                <dct:spatial></dct:spatial>
                <dct:temporal></dct:temporal>
            </dcat:Dataset>
        </dcat:dataset>

        
    </dcat:Catalog>
</rdf:RDF>