초록 ▼

▪ 표준(DICOM, HL7, IHE) 및 비표준 (Non-DICOM) 형태의 의료정보 콘텐츠를 저장, 관리, 분배, 공유할 수 있는 벤더 비종속 통합 플랫폼(Vendor Neutral Archive)
▪ 디지털 병리 영상 획득 및 관리, 조회 기술
▪ HTML5기반 비종속형 공통 영상 뷰어(Universal Viewer)
▪ DICOM 표준 방식 디지털 병리 영상 (Digital Pathology Whole Slide Image) 저장, 관리 및 조회 시스템
▪ RESTful OpenAPI (SMART on

▪ 표준(DICOM, HL7, IHE) 및 비표준 (Non-DICOM) 형태의 의료정보 콘텐츠를 저장, 관리, 분배, 공유할 수 있는 벤더 비종속 통합 플랫폼(Vendor Neutral Archive)
▪ 디지털 병리 영상 획득 및 관리, 조회 기술
▪ HTML5기반 비종속형 공통 영상 뷰어(Universal Viewer)
▪ DICOM 표준 방식 디지털 병리 영상 (Digital Pathology Whole Slide Image) 저장, 관리 및 조회 시스템
▪ RESTful OpenAPI (SMART on FHIR) 기반의 어플리케이션 스토어를 통한 생태계 시스템 (Ecosystem) 구축
▪ 글로벌 구조적（Structured) 판독 리포트 시스템
▪ 임상과 판독 프로세스 통합 관리 판독 시스템
▪ 유방암, 폐암 검진 판독 및 생검 결과 입력, 통계 분석 포털
▪ 기관 내 의료 데이터 분석 및 데이터 수집 엔진
▪ 기관 내 의료 데이터 분석 및 의사결정 지원을 위한 대시보드 기능 탑재 통계 분석 포털
▪ 기관 내 환자 서비스 제공 포털

(출처 : 요약서 3p)

Abstract ▼

□ Purpose & Contents
[The purpose of development]
Development of the Integration Platform and Information Analytics Solution for the implementation of the ecosystem of global medical software
o IHP (INFINITT Healthcare Platform)
To implement the ecosystem of global medical imaging inform

□ Purpose & Contents
[The purpose of development]
Development of the Integration Platform and Information Analytics Solution for the implementation of the ecosystem of global medical software
o IHP (INFINITT Healthcare Platform)
To implement the ecosystem of global medical imaging information software through which various medical solutions can achieve sustainable development, we are planning to develop VNA (vendor neutral archive) engine and an independent Universal Viewer platform and provide an application store based on international open standards, medical information software API (SMART on FHIR).
o IAS (INFINITT Analytics Solution)
To provide data analytics function which has evolved from the management of data, we are planning to develop the structured report system optimized for each country, the medical information portal that maximizes patients’ participation, and the medical information analytics engine which integrates dashboard displaying the real-time analytic information. The IAS will be operating combined with IHP.

[The contents of development]
o Vendor Neutral Archive in which medical information contents with standard (DICOM, HL7, IHE) and Non-DICOM can be saved, managed, distributed, and shared.
o Achievement, management, and viewing of digital pathology whole slide image
o HTML5-based Independent Universal Viewer
o Save, management, and viewing of Digital Pathology Whole Slide Image within DICOM
o Building an Ecosystem with an application store based on RESTful OpenAPI (SMART on FHIR)
o Global structured reporting system
o Reading system incorporating clinical process and reading process
o Statistical analysis portal with input of breast/lung cancer image reading and biopsy results
o An engine that analyzes and collects medical data within the institution
o A statistical analysis portal with dashboards to help analyze and make decisions about the medical data in the institution
o A patient portal within the institution

□ Results
o Developed Vendor Neutral Archive to store, manage, distribute and share DICOM and non-DICOM through standard (DICOM, HL7, IHE) interfaces
- Save DICOM & Non-DICOM
- Architecture for independently storing and managing data from multiple hospitals
- Calibration and Dynamic TagMorphing of Patient / Exam Information
- Rule-based information lifecycle management
- Rule-Based Auto Prefetching and Auto Multiple Routing
- Contents management and monitoring (Agent, Dashboard, etc.)
- IHP Integrated Management
- Audit
- Statistics and Dashboard
- XDS-I Imaging Document Source
- HL7 standard (ADT, ORM, ORU, MFN) interface
- Smart Relay (DICOM link between PACS and IHP)
o Developed HTML5-based Universal Viewer
- Search patient and contents based on IHE standards
- DICOM and Non-DICOM Display
- Large volume of pathology image display
- A viewer module that can be embedded in application (EMR, etc.)
- Smart Phone / Tablet Integrated Viewer
- OS Independent Viewer
- Support SSO via LDAP
o Developed a system to store, manage and review digital pathology WSI with DICOM standard
- Analysis of DICOM standards for pathology imaging workflows and formats
- Analysis of DICOM Supplement 145 (Whole Slide Image, WSI)
- Developed a viewer and server prototype
o IHP-based RESTful OpenAPI and Ecosystem
- FHIR Service System
- OpenAuth Server / Client Module
- Interoperability according to IHE standards (XCA, MHD, XDS.b, XDS-I.b)
- Authentication system according to IHE standard (XUA, DUA)
- DICOM RESTful OpenAPI
- INFINITT Store Portal
o Developed a reading system incorporating clinical process and reading process
- Task monitoring dashboard
- Task-based worklist module
- Template creation module to support form-based structured reading
- Report Creation Module
- Task monitoring dashboard
- Support Voice Recognition/Voice Command
- Support Structured Report Library
- Support Multi-Media, Hyperlink, File Attachment, Chart Table, Key Image Insert, etc.
- Support citation / management within the measured numeric report in the viewer
- Support emergency read recording / input in Mobile Viewer, Universal Viewer
o Developed statistical analysis portal with input of breast cancer image reading and biopsy results
- Input module of patient history of breast cancer and self-diagnosis result for incidence rate
– Reading result input module according to BI-RADS standard
- Biopsy result input module
- Reminder management module for patient recall
- Scanned documents management module
- Statistical analysis module
o Developed statistical analysis portal with input of lung cancer image reading
- Input module of patient history of smoking habits and lung-related diseases
- Reading result input module according to Lung-RADS standard
- Biopsy result input module
- Reminder management module for patient recall
- Scanned documents management module
- Statistical analysis module
o Developed an engine that analyzes and collects medical data within the institution
- OLAP, Module for automating analytical tasks
o Developed a statistical analysis portal with dashboards to help analyze and make decisions about the medical data in the institution
- Forecast Dashboard
- Volume (summarizing data) Analysis
- Ranking Analysis
- Performance Analysis
- Turn-Around Time Analysis
o Developed a patient portal within the institution
- A module of checking and registering patient treatment information
- Communication support module with medical institution
- A module of training materials for medical knowledge
o Key performance values
- Image registration throughput: acquisition processing speed of more than 30 seconds per one CT image
- The number of items supporting IHE standard profile: 12 items
- The speed of displaying DICOM CT Image: Displays about 100 images within 8 seconds
- Items that support non-DICOM: Supports 12 types of non-DICOM display
- Supported OS items : Supports 5 types of OS by type
- Supported OS items : Supports five types of Web browsers by type
- The rate at which measurements are reflected in the report when measuring lesions in the viewer : Reflectance within 2 seconds after measurement
- Items that support HL7 standard and ACR specifications: Number of items supporting related products
- Performance when analyzing large amounts of data: The rate at which large amounts of statistical data are displayed
- Rate of real-time data statistics reflection: speed of reflecting new incoming data statistics
- Accuracy of statistical data analysis : Error rate through real data verification
o Core technologies
- RESTful OpenAPI-based Healthcare Resource Server (SMART + DICOM Web + FHIR VNA, World's first)
- PACS-based Ecosystem (world's first)
- HTML5-based Universal Viewer (the first in Korea, the fifth in the world)
- IHP (VNA) (the first in Korea)
- C-CDA patient electronic medical information exchange technology
- Intuitive integrated analysis technology of distributed medical institutions data (the first in Korea)

□ Expected Contribution
▪ We will develop IHP and IAS jointly with UMass Memorial Medical Center 및 Seattle Children's Hospital which will be used as a reference site for clinical testing of the system and product proliferation in the United States.
▪ We will immediately apply the VNA to more than 50 major medical institutions in the world that are considering the introduction of VNA.
▪ We will gradually introduce the next generation medical imaging platform to more than 4,000 existing medical institutions in Korea and overseas using our existing PACS products.
▪ We will establish ecosystem of medical solution through global medical application store.
▪ We expect to see cumulative exports of more than KRW81.6billion and expand into new markets of over 88.4billion won including domestic sales over the next six years after the project ends.
▪ We expect to see explosive growth of exports in the long term as we advance into overseas medical institutions and take advantage of global medical application stores.
▪ We expect more than 40% increase in exports when combined with PACS and RIS solutions, which are the main export products.

(출처 : SUMMARY 9p)

목차 Contents

• 표지 ... 1
• 제 출 문 ... 2
• 보고서 요약서 ... 3
• 연구개발사업 주요 연구성과 ... 4
• 국문 요약문 ... 5
• SUMMARY ... 9
• 목차 ... 13
• 제1장. 연구개발과제의 개요 ... 14
• 1. 과제 개발의 목적 ... 14
• 2. 과제의 성격 및 필요성 ... 17
• 3. 과제의 중요성과 파급효과 ... 18
• 제2장. 국내외 기술 개발 현황 ... 21
• 1. 국내·외 기술 현황 ... 21
• 제3장. 연구 수행 내용 및 성과 ... 40
• 1. 연구 범위 및 연구 수행 방법 ... 40
• 2. 연구 내용 및 결과 ... 41
• 3. 연구개발성과 (기술적) ... 93
• 4. 연구개발성과 (경제적) ... 99
• 제4장. 목표 달성도 및 관련 분야 기여도 ... 102
• 1. 최종 목표 ... 102
• 2. 연구개발 목표의 달성도 및 평가 방법 ... 106
• 3. 관련 분야 기여도 ... 123
• 제5장. 연구개발성과의 활용계획 ... 124
• 1. 다양한 디지털 정보 획득 및 축적 방안 ... 124
• 2. 글로벌 사업화 요소기술/목표제품/서비스 정의 ... 125
• 3. 글로벌 사업화 방안 ... 125
• 4. 글로벌 사업화 아이템 별 세부내용 ... 126
• 5. 글로벌 사업화 목표 및 성과 측정 지표 ... 128
• 6. 글로벌 기술이전 전략 ... 128
• 제6장. 연구 과정에서 수집한 해외 과학기술 정보 ... 131
• 제7장. 연구개발성과의 보안등급 ... 132
• 제8장. 국가과학기술종합정보시스템에 등록한 연구시설·장비 현황 ... 132
• 제9장. 연구개발과제 수행에 따른 연구실 등의 안전 조치 이행 실적 ... 132
• 제10장. 연구개발과제의 대표적 연구 실적 ... 132
• 제11장. 기타 사항 ... 133
• 제12장. 참고 문헌 ... 133
• 첨부 1. 자체 보안관리 진단표 ... 134
• 첨부 2. 연구실 안전조치 이행표 ... 135
• 첨부 3. 연구과제 성과(기술성) 증빙자료 ... 136
• 끝페이지 ... 137