- Early research on openEHR in China began in 2009 and included PhD theses and papers on openEHR frameworks and models.
- In 2016, the openEHR Technical Committee (TC) was established under the China Medical Software Association to promote openEHR modeling and implementation. It organizes workshops, tutorials and conferences.
- Notable openEHR implementations in China include the CLEVER clinical data registry developed by Zhejiang University and the PHIP population health information platform developed by ZTE-ICT. Both use openEHR archetypes and reference models.
- Over 20 companies and 47 institutions in China have adopted openEHR in their systems and projects, mainly focusing on electronic medical record,
Framework for efficient transformation for complex medical data for improving...IJECEIAES
The adoption of various technological advancement has been already adopted in the area of healthcare sector. This adoption facilitates involuntary generation of medical data that can be autonomously programmed to be forwarded to a destined hub in the form of cloud storage units. However, owing to such technologies there is massive formation of complex medical data that significantly acts as an overhead towards performing analytical operation as well as unwanted storage utilization. Therefore, the proposed system implements a novel transformation technique that is capable of using a template based stucture over cloud for generating structured data from highly unstructured data in a non-conventional manner. The contribution of the propsoed methodology is that it offers faster processing and storage optimization. The study outcome also proves this fact to show propsoed scheme excels better in performance in contrast to existing data transformation scheme.
An OGMS-based Model for Clinical Informationoberkampf
This is the presentation of the paper presented on the early career symposium at the International Conference on Biomedical Ontology. http://www.unbsj.ca/sase/csas/data/ws/icbo2013/papers/ec/icbo2013_submission_56.pdf
Framework for efficient transformation for complex medical data for improving...IJECEIAES
The adoption of various technological advancement has been already adopted in the area of healthcare sector. This adoption facilitates involuntary generation of medical data that can be autonomously programmed to be forwarded to a destined hub in the form of cloud storage units. However, owing to such technologies there is massive formation of complex medical data that significantly acts as an overhead towards performing analytical operation as well as unwanted storage utilization. Therefore, the proposed system implements a novel transformation technique that is capable of using a template based stucture over cloud for generating structured data from highly unstructured data in a non-conventional manner. The contribution of the propsoed methodology is that it offers faster processing and storage optimization. The study outcome also proves this fact to show propsoed scheme excels better in performance in contrast to existing data transformation scheme.
An OGMS-based Model for Clinical Informationoberkampf
This is the presentation of the paper presented on the early career symposium at the International Conference on Biomedical Ontology. http://www.unbsj.ca/sase/csas/data/ws/icbo2013/papers/ec/icbo2013_submission_56.pdf
Systemic reviews on implantable medical devices provide a quality of reportin...Pubrica
• Defining active implantable medical devices
• Literature search
• Eligibility criteria and citation screening
• Data extraction
• Reporting of device or procedure-specific data
Continue Reading: https://bit.ly/2UMYAPu
For our services: https://pubrica.com/services/research-services/systematic-review/
Why Pubrica:
When you order our services, We promise you the following – Plagiarism free | always on Time | 24*7 customer support | Written to international Standard | Unlimited Revisions support | Medical writing Expert | Publication Support | Biostatistical experts | High-quality Subject Matter Experts.
Contact us:
Web: https://pubrica.com/
Blog: https://pubrica.com/academy/
Email: sales@pubrica.com
WhatsApp : +91 9884350006
United Kingdom: +44-1618186353
Informatics and Clinical Decision Support in Precision MedicineAndre Dekker
Talk given during http://www.miccai2015.org/ in Munich Germany. Part of the Satellite Workshop and Challenges in Imaging & Digital Pathology (https://wiki.cancerimagingarchive.net/x/JgM7AQ).
The BioGears team presented at IMSH on how we developed a comprehensive model of human physiology. BioGears is open source, extensible, and can be integrated with a variety of training and immersive learning tools.
Common Practice Guidelines: A Significant Gap in Computational Modeling and S...BioGearsEngine
BioGears® is an open source, general-purpose human physiology simulation engine. The goal of BioGears is to provide consistent physiology for use by the medical modeling and simulation community. The accuracy of this whole-body model is assessed through a validation process which compares the simulation results to a range of observed values within the reference population. BioGears has been customized for integration with real-time training simulations to produce virtual patient responses in both software and hardware scenario-based applications. A software architecture that leverages a common data model was created to provide a well-defined interaction paradigm for models at different spatial and temporal scales. The framework can be applied for integration towards the development of predictive multiscale models for in silico clinical trials.
This talk describes:
· The motivation and purpose of the BioGears program
· The utilization of extensive user community engagement to inform design and implementation decisions
· The use of validation to provide assurance in results
· The process of translating physiology modeling and simulation research into clinical use
· The decision to allow physiology model extensions and improvements to be integrated by the user base over time
It will also include recommended best practices and lessons learned in getting BioGears adopted. Finally, perceived gaps and limitations in guidelines for establishing standardized simulation-based medicine will be presented, along with recommendations for future improvements.
This is an initiative started at the Interagency Modeling and Analysis Group and Multiscale Modeling Consortium
Automate your literature monitoring for more effective pharmacovigilanceAnn-Marie Roche
Embase and QUOSA experts take you through a complete literature management workflow, demonstrating how Elsevier’s Pharmacovigilance solution enables efficient and comprehensive post-market surveillance.
Systemic reviews on implantable medical devices provide a quality of reportin...Pubrica
• Defining active implantable medical devices
• Literature search
• Eligibility criteria and citation screening
• Data extraction
• Reporting of device or procedure-specific data
Continue Reading: https://bit.ly/2UMYAPu
For our services: https://pubrica.com/services/research-services/systematic-review/
Why Pubrica:
When you order our services, We promise you the following – Plagiarism free | always on Time | 24*7 customer support | Written to international Standard | Unlimited Revisions support | Medical writing Expert | Publication Support | Biostatistical experts | High-quality Subject Matter Experts.
Contact us:
Web: https://pubrica.com/
Blog: https://pubrica.com/academy/
Email: sales@pubrica.com
WhatsApp : +91 9884350006
United Kingdom: +44-1618186353
Informatics and Clinical Decision Support in Precision MedicineAndre Dekker
Talk given during http://www.miccai2015.org/ in Munich Germany. Part of the Satellite Workshop and Challenges in Imaging & Digital Pathology (https://wiki.cancerimagingarchive.net/x/JgM7AQ).
The BioGears team presented at IMSH on how we developed a comprehensive model of human physiology. BioGears is open source, extensible, and can be integrated with a variety of training and immersive learning tools.
Common Practice Guidelines: A Significant Gap in Computational Modeling and S...BioGearsEngine
BioGears® is an open source, general-purpose human physiology simulation engine. The goal of BioGears is to provide consistent physiology for use by the medical modeling and simulation community. The accuracy of this whole-body model is assessed through a validation process which compares the simulation results to a range of observed values within the reference population. BioGears has been customized for integration with real-time training simulations to produce virtual patient responses in both software and hardware scenario-based applications. A software architecture that leverages a common data model was created to provide a well-defined interaction paradigm for models at different spatial and temporal scales. The framework can be applied for integration towards the development of predictive multiscale models for in silico clinical trials.
This talk describes:
· The motivation and purpose of the BioGears program
· The utilization of extensive user community engagement to inform design and implementation decisions
· The use of validation to provide assurance in results
· The process of translating physiology modeling and simulation research into clinical use
· The decision to allow physiology model extensions and improvements to be integrated by the user base over time
It will also include recommended best practices and lessons learned in getting BioGears adopted. Finally, perceived gaps and limitations in guidelines for establishing standardized simulation-based medicine will be presented, along with recommendations for future improvements.
This is an initiative started at the Interagency Modeling and Analysis Group and Multiscale Modeling Consortium
Automate your literature monitoring for more effective pharmacovigilanceAnn-Marie Roche
Embase and QUOSA experts take you through a complete literature management workflow, demonstrating how Elsevier’s Pharmacovigilance solution enables efficient and comprehensive post-market surveillance.
A presentation about the role of informatics standards in facilitating electronic data interchange, and a framework for service-oriented semantic interoperability among data systems.
Artificial Intelligence Service in HealthcareAnkit Jain
It is no secret that artificial intelligence is shaping new business landscapes in every industries. As one of emerging convergence technologies, Artificial Intelligence (AI) creates new products and services, finally innovating business models. Especially, it has been noted by industry experts and researchers that healthcare sector has the biggest potential of AI convergence. In fact, major technology companies including Google, Microsoft and IBM have invested in AI in healthcare sector. Thousands of AI startups are active launching innovative services related to healthcare.
Introduction to the 2012 Indivo X Users' Conference, including a history of Indivo and Personal Health Records, a discussion of the reasons for Google Health's demise, and how Indivo's open architecture might provide a solution.
By Kenneth Mandl, MD MPH, Faculty, Boston Children's Hospital Informatics Program.
Accessing Information of Emergency Medical Services through Internet of ThingsIJARIIT
IoT is the advanced technology which is use in daily life. IoT make easy to connect different smart devices with
each other by using the internet. IOT is given the ability to computer system to run application program from different
vendors. So in this paper we are accessing the data based on IoT technology for emergency medical services. The fast
development of Internet of Thing.
Real-World Evidence: The Future of Data Generation and UsageApril Bright
As data is captured through electronic health records, registries and unique device identifiers, the generation of evidence based on this data is expected to play a crucial role in informing orthopedic manufacturers’ decisions before and after regulatory approval. While regulators, payors, hospitals and manufacturers support this shift, they acknowledge that gaps remain in its optimal execution. Priority considerations include how to generate evidence to expedite regulatory market decisions, device indication expansion, postmarket studies, postmarket surveillance and reimbursement decisions. The National Evaluation System for health Technology Coordinating Center (NESTcc), an initiative of the Medical Device Innovation Consortium (MDIC), is leading the conversation with various stakeholders, including FDA and orthopedic device companies to support the sustainable generation of Real-World Evidence (RWE) using Real-World Data (RWD).
Cold Sores: Causes, Treatments, and Prevention Strategies | The Lifesciences ...The Lifesciences Magazine
Cold Sores, medically known as herpes labialis, are caused by the herpes simplex virus (HSV). HSV-1 is primarily responsible for cold sores, although HSV-2 can also contribute in some cases.
Under Pressure : Kenneth Kruk's StrategyKenneth Kruk
Kenneth Kruk's story of transforming challenges into opportunities by leading successful medical record transitions and bridging scientific knowledge gaps during COVID-19.
PET CT beginners Guide covers some of the underrepresented topics in PET CTMiadAlsulami
This lecture briefly covers some of the underrepresented topics in Molecular imaging with cases , such as:
- Primary pleural tumors and pleural metastases.
- Distinguishing between MPM and Talc Pleurodesis.
- Urological tumors.
- The role of FDG PET in NET.
The Importance of Community Nursing Care.pdfAD Healthcare
NDIS and Community 24/7 Nursing Care is a specific type of support that may be provided under the NDIS for individuals with complex medical needs who require ongoing nursing care in a community setting, such as their home or a supported accommodation facility.
Navigating Challenges: Mental Health, Legislation, and the Prison System in B...Guillermo Rivera
This conference will delve into the intricate intersections between mental health, legal frameworks, and the prison system in Bolivia. It aims to provide a comprehensive overview of the current challenges faced by mental health professionals working within the legislative and correctional landscapes. Topics of discussion will include the prevalence and impact of mental health issues among the incarcerated population, the effectiveness of existing mental health policies and legislation, and potential reforms to enhance the mental health support system within prisons.
Medical Technology Tackles New Health Care Demand - Research Report - March 2...pchutichetpong
M Capital Group (“MCG”) predicts that with, against, despite, and even without the global pandemic, the medical technology (MedTech) industry shows signs of continuous healthy growth, driven by smaller, faster, and cheaper devices, growing demand for home-based applications, technological innovation, strategic acquisitions, investments, and SPAC listings. MCG predicts that this should reflects itself in annual growth of over 6%, well beyond 2028.
According to Chris Mouchabhani, Managing Partner at M Capital Group, “Despite all economic scenarios that one may consider, beyond overall economic shocks, medical technology should remain one of the most promising and robust sectors over the short to medium term and well beyond 2028.”
There is a movement towards home-based care for the elderly, next generation scanning and MRI devices, wearable technology, artificial intelligence incorporation, and online connectivity. Experts also see a focus on predictive, preventive, personalized, participatory, and precision medicine, with rising levels of integration of home care and technological innovation.
The average cost of treatment has been rising across the board, creating additional financial burdens to governments, healthcare providers and insurance companies. According to MCG, cost-per-inpatient-stay in the United States alone rose on average annually by over 13% between 2014 to 2021, leading MedTech to focus research efforts on optimized medical equipment at lower price points, whilst emphasizing portability and ease of use. Namely, 46% of the 1,008 medical technology companies in the 2021 MedTech Innovator (“MTI”) database are focusing on prevention, wellness, detection, or diagnosis, signaling a clear push for preventive care to also tackle costs.
In addition, there has also been a lasting impact on consumer and medical demand for home care, supported by the pandemic. Lockdowns, closure of care facilities, and healthcare systems subjected to capacity pressure, accelerated demand away from traditional inpatient care. Now, outpatient care solutions are driving industry production, with nearly 70% of recent diagnostics start-up companies producing products in areas such as ambulatory clinics, at-home care, and self-administered diagnostics.
Health Education on prevention of hypertensionRadhika kulvi
Hypertension is a chronic condition of concern due to its role in the causation of coronary heart diseases. Hypertension is a worldwide epidemic and important risk factor for coronary artery disease, stroke and renal diseases. Blood pressure is the force exerted by the blood against the walls of the blood vessels and is sufficient to maintain tissue perfusion during activity and rest. Hypertension is sustained elevation of BP. In adults, HTN exists when systolic blood pressure is equal to or greater than 140mmHg or diastolic BP is equal to or greater than 90mmHg. The
1. openEHR in China
2019-06
Prof. Xudong Lu / Zhejiang University
Management Board Member of openEHR Foundation
General-Secretary of China Medical Software Association
2. China Medical Software Association/中国医疗器械行业协会医用软件分会
Early Researches of openEHR in China
l 2009, Jiye An(ZJU PhD Thesis),《Research on
Healthcare Information Framework and Information
Model》
l 2010, Zhihong Yao,Lei Liu , 《Introduction of
openEHR and its difference with CDA and DICOM》
l 2012, Bin Li , 《Research on the Integration of
SNOMED CT and OpenEHR》
l 2013, Zhihong Yao , 《Modelling Personal Health
Record Based on openEHR》
3. China Medical Software Association/中国医疗器械行业协会医用软件分会
• 2015.08 , Xudong introduced a Case Study of openEHR-based
CDR in Shangxi Dayi Hospital at Medinfo2015 in Brazil
• 2016.04 , Prof. Huilong Duan was assigned ambassador of
openEHR China
“First-Contact”with openEHR Community
4. China Medical Software Association/中国医疗器械行业协会医用软件分会
openEHR TC of CMSA
Started from 2016.04
Goal: Promoting openEHR Modeling and Implementation in China
Activities:Seminars/workshops, Tutorials, Forums/conferences,
Website Development,Modeling collaboration……
openEHR TC
Modeling
WG1
Modeling
WG2
Modeling
WG3
……
Secretariat
5. China Medical Software Association/中国医疗器械行业协会医用软件分会
openEHR Workshops
• 2016.04, Shanghai, 1st openEHR workshop
• 2016.11, Wuhan, 2nd openEHR workshop
• 2017.08, Hangzhou, 3rd openEHR workshop
• 2018.10, Shenzhen, 4th openEHR workshop
1-2 times/yearly, now we are having 5th openEHR workshop
6. China Medical Software Association/中国医疗器械行业协会医用软件分会
1-2 times/yearly, we will have 3rd openEHR tutorial tomorrow
• 2018.05, Hanzhgou, 1st openEHR Tutorial, over 30 trainees from 6
companies/institutes
• 2018.10, Shenzhen, 2st openEHR Tutorial,
openEHR Tutorial
7. China Medical Software Association/中国医疗器械行业协会医用软件分会
• 2018.07, Guiyang, openEHR speech at CHIMA2018
• 2018.07, Heihe, openEHR speech at CODATA2018
• 2019.04, Chengdu, openEHR speech at 15th International Oral
Medicine Medical Academic Conference
• 2019.05, Shanghai, openEHR-based RDR at CMEF2019
openEHR in conferences recently
11. China Medical Software Association/中国医疗器械行业协会医用软件分会
HMC – Healthcare Modelling Collaborations
http://openehr.org.cn/hmc/
A platform maintained by ZJU to support modeling collaborations
12. China Medical Software Association/中国医疗器械行业协会医用软件分会
openEHR Ecosystem
CKM
SYS-A
Templates
HMC
SYS-B
Templates
SYS-C
Templates
Domain
Experts
Building the sharable
archetypes
End Users
Defining the templates and
building the applications
Developers
Building the enabling systems
International
Library of
information Models
13. China Medical Software Association/中国医疗器械行业协会医用软件分会
China Medical Software Association / 中国医疗器械行业协会医用软件分会
HMC Management
Experts
User:
Vendors
User:
Researchers
Published
Proposal
Public
Domain
ACS
Domain
Obstetrics
Domain
Oral
Domain
Submit
update
Subdomain
Subdomain
Subdomain
14. China Medical Software Association/中国医疗器械行业协会医用软件分会
Relationship Between HMC and CKM
Archetype
Library
Archetype
Library
International
domestic
China clinicians
International
clinicians
15. China Medical Software Association / 中国医疗器械行业协会医用软件分会
HMC Modeling Results
909 9archetypes
ACS
Oral Medicine
Liver Cancer
Stroke
Heart Failure
AD Invervention
Liver Translation
EMR
Lung Cancer
sub-domains
435 transferred from CKM and
translated to Chinese
476 are new archetypes created
according to requirements
18. Trusted personal health record access architecture
• Challenges:
• Medical institutions do not share patient data for safety reasons
• Medical information is fragmented and cannot effectively provide health services
Build PHR EMPI data structure
according to openEHR
• 姚俊明,邢丹,李庆玲. 基于区块链的个人健康记录分布式框架研究[J].医学信息学杂
志,2019,40(3):31-35,43. DOI:10.3969/j.issn.1673-6036.2019.03.005.
19. Discovering clinical information models online
• To discover clinical information models from an open repository online
Archetype Features Clinical Resources Network
A1
A2
A3
Suggest edges
Concept| Concept | Probability
medication order | medication
order | 0.2872
medication order | dosage| 0.2331
medication order | therapeutic
direction | 0.2219
……
address | address | 0.5257
address | healthcare provider
address | 0.2056
……
healthcare provider address |
healthcare provider address |
0.1922
healthcare provider address |
address | 0.1008
……
……
Information element layer
Archetype layer
Concept
subnetwork
……
……C1’
A1 A2 A3
C2’ C3’
C1 C2 C3
T1 T2 T3 T4 T5
• Yang, Lin, Xiaoshuo Huang, and Jiao Li. "Discovering Clinical Information Models Online
to Promote Interoperability of Electronic Health Records: A Feasibility Study of
OpenEHR." Journal of medical Internet research 21.5 (2019): e13504.
20. openEHR Related research conducted by ZJU
• Lingtong Min, Qi Tian, Xudong Lu, Huilong Duan. Modeling EHR with
the openEHR approach: an exploratory study in China. BMC Med Inform
Decis Mak. 2018; 18: 75.
• Min L, Tian Q, Lu X, et al. An openEHR based approach to improve the
semantic interoperability of clinical data registry[J]. BMC medical
informatics and decision making, 2018, 18(1): 15.
• Medinfo 2019 posters
• Extending CQL with openEHR to express clinical quality indicators
• Representing rules for clinical data quality assessment based on
openEHR Guideline Definition Language
• Using openEHR’s Guideline Definition Language for representing
Percutaneous Coronary Intervention Patient Safety Rules in a
Dynamic Checklist System
22. China Medical Software Association/中国医疗器械行业协会医用软件分会
Active Enterprise & institutions
ü United Care Technologies(Beijing)
ü ZTE-ICT(Shenzhen)
ü Suhai technology(Suzhou)
ü Zhuojian Technology(Hangzhou)
ü Ternal Health(Shanghai)
ü INFINITT China(Shanghai)
ü Ming zhihui technology (Zhejiang)
ü Vico Software(Zhejiang)
ü Choice Technology(Hangzhou)
ü …
ü China Stroke Data Center
ü Zhejiang University
ü Academy of Military Sciences PLA China
ü PLA General Hospital & Hainan branch
ü ShanXi Dayi Hospital
ü General Hospital of Ningxia medical University
ü Wuhan General Hospital of Guangzhou Military
ü Wuzhou Hospital of Traditional Chinese
Medicine
22 companies 47 institutions
23. China Medical Software Association/中国医疗器械行业协会医用软件分会
1st Case– CLEVER CDR by ZJU
• Archetype/
Template Editor
• Archetype –
relational
mapping
• AQL-based
Data Access
Interfaces
• Archetype
driven UI
configuration
Developed by ZJU
24. China Medical Software Association/中国医疗器械行业协会医用软件分会
CLEVER CDR – Upper Applications
病原体抗生素耐药性变化趋势图
Clinical Decision SupportTimeline view
Clinical Research Support
25. China Medical Software Association/中国医疗器械行业协会医用软件分会
CLEVER CDR – Implemented in different scenarios
City Level
Wuzhou Chinese
Medicine Hospital
Research
Collaboration
Anzhen Hospital
Ningxia General
Hospital Group (33
hospitals)
Cardiovascular Registry
Provincial Level
Shangxi Dayi Hospital
(2600 beds)
301 Hospital
National Level
301 hospital
26. China Medical Software Association/中国医疗器械行业协会医用软件分会
2nd Case – PHIP by ZTE-ICTApplicationsUsers
Citizens
Health
Admin
Medical
staff
Business
partners
Telemedicine Regional PACS Regional LISRegional HIS Decision Making Health Card
RegionalHealthInformationPlatform
Hospitals Platform IntegrationPrimary Health Centers Health Insurance
Data
Source
Data Sharing EHR EMR LIS PACS
Database Population
Databse
EMR EHR BI Data
Comprehensive
Management
Medical
Service
Public
Health
Medical
Insurance
Drug
System
Medical
resource
…
Public Health
Regional HIS Regional PACS Regional LIS
Maternal&Ch
ild
Sub-systems
Medical
Knowledge
Health Card
Mobile App
Authority
Security
Quality
Management
Terminology
Library
Standard
Management
Health Portal
Information Exchange & Sharing Platform
Health Assessment
Center
EMPI
HL7
CDA
Registration
• Population Health Information Platform (PHIP)based on openEHR
• Developed by ZTE-ICT
27. China Medical Software Association/中国医疗器械行业协会医用软件分会
PHIP – Installations in China
Shenzhen
PHIP, Primary Healthcare, Telemedicine,
AIO,H8, Health Management Platform
PHIP, AIO, Mobile Healthcare, H8
National health and family planning commission
International cooperation division
(Residents mobile health management、China-Africa cooperation center) Beijing Bureau of traditional
Chinese medicine
(TCM Healthcare provided for the aged)
PHIP, AIO, Mobile Healthcare, FDA
Shanxi All-in-One Health Terminal
Shaanxi All-in-one Health Terminal
PHIP, AIO, Mobile Healthcare, Telemedicine
Shi Jiazhuang E-health&Network Hospital
First Hospital Cooperation case, build Shi Jiazhuang Chest Hospital Telemedicine
Center, Family Doctor Service and Remote Clinics etc franchise rights
Suzhou E-Health
Grade-A hospital of second
class license obtained
Nantong E-Health
Shenzhen Luohu
Family Doctor Project
28. China Medical Software Association/中国医疗器械行业协会医用软件分会
PHIP – Interconnect Test by MOH
门诊摘要 住院摘要 会诊记录
产后访视服务
糖尿病患者随访服务
预防接种报告服务
转诊(院)记录 个人基本健康信息登记 儿童健康体检
高血压患者随访服务
产前随访服务
成人健康体检服务
新生儿家庭访视
成人健康体检 2型糖尿病随访服务 预防接种报告
产后访视
产后访视
病历概要
检查报告 治疗记录
急诊留观病历 麻醉记录
门(急)诊病历 检验报告
西药处方
手术护理记录
入院记录
入院评估
中药处方 一般手术记录 一般护理记录
住院病案首页
住院病程记录会诊记录
住院病程记录抢救记录
住院病案首页 中医住院病案首页病历 出院小结
住院病程记录术前小结
2016卫生信息共享文档标准&2016电子病历共享文档标准
Standard Documents defined by NHC
公共卫
生服务
原型
OPENEHR CORE DB
EMR
Archetypes
(96)
Public Health
Archetypes
(152)
Interconnect Assess
29. China Medical Software Association/中国医疗器械行业协会医用软件分会
Funded by National Project, covering 16 big hospitals in 13 provinces.
Targeting for 100,000 clinical and imaging data of coronary heart diseases
3rd Case – Coronary Heart Registry
大连
医科
大学
附属
院
大附属
一院四院
Beijing huairou hopital
Renji hospital, shanghai
Jinan military general hospital
Sir run run shaw hospital
zhejiang university
School of medicine
The second affiliated hospital
of zhejiang university school
of medicine
Shanghai chest hospital
Ruijin hospital,shanghai
The first affiliated hospital of
xinjiang medical university
West china hosppital,
sichuan unieversity
The first affiliated hopstial Of
dalian medical university
The first affiliated hosptal of
zhengzhou university
Tongji medical college of
hust tongji medical
The first affiliated hospital,
sun yat-sen University
Qilu hospital of
Shandong Unversity
Chinese PLA general hospital
Beijing Anzhen hospital
30. China Medical Software Association/中国医疗器械行业协会医用软件分会
CHR – System Concept Design
US MRA ECG
Meication Lab EMR
Datasets from
system in hospital
…
…
CRF designed by
clinicians
Mid-term
Follow-up
Baseline
Adverse Events Final Follow-up
Coronary
Heart Registry
based on
openEHR
Data QC
Data Verify
数据集成
CRF Entry
Data
Processing
Integartion
… extraction
• openEHR is used for modeling both from clinicians and existing databases
• The data extraction is facilitated through linking to openEHR-based CDR
31. China Medical Software Association/中国医疗器械行业协会医用软件分会
CHR – International Collaboration
All of New Zealand
Acute Coronary Syndrome – Quality Improvement
(Registry)
急性冠脉综合征
风险预测
Ø Research on the benefit of improving
interoperability through openEHR
Ø Data Analytics such as Disease Risk
Predication Models on dual Registries to
compare the results between two countries,
32. China Medical Software Association/中国医疗器械行业协会医用软件分会
4th Case – Chinese Army EHR-S
l Switching technical framework to openEHR since 2018, by Academy
of Military Sciences PLA China and ZJU
l Collecting data from over 200 hospitals and 1400 clinics, and provide
EHR data services for improving management and medical services
33. China Medical Software Association/中国医疗器械行业协会医用软件分会
5th Case - China Stroke Data Center
• Nearly 7 million patients, covering 360 hospitals
• openEHR data standardization is on-going and the implementation
has been planned
34. China Medical Software Association/中国医疗器械行业协会医用软件分会
6th Case – image CDR by Suhai Co. Ltd.
- Compliance with ACR
RADs, RSNA SR template,
DICOM SR & RadLex
- Fast Reporting
Templates by openEHR
- Image Labeling
- Deep Learning
- Segmentation &
Analysis
- Data archive
- Search & Statistics
- Study Management
Radiology Structured
Reporting System
影像结构化报告系统
Radiology AIaaS
System (AI Lab)
影像AI研究支持系统
Radiology Research
System
影像科研管理系统
openEHR image-
CDR
基于openEHR影像数据平台
影像医生诊断辅助、高效发表高质量研究成果、创新探索的工作平台
35. • Scope:
1. Accumulate 10000+ liver transplant studies
2. 50000+ structured EMR+Followup data including Labelled
images
3. To support research and clinical CDS
• Current Research:
1. openEHR modelling for Liver Transplant
2. Liver transplant Ultrasound Hemodynamics CDSS
#Grant by Tianjin Government in 2018
as Key Science Project
1600beds, the No.1 Liver Transplant
Center in Asia
Liver Transplant Ultrasound image-CDR
Dental image-CDR
200+Chair & 200beds, one of the best
dental hospitals in China.
• Scope:
1. Oral & Maxillofacial image structure reporting system
2. CBCT and Panoramic image labelling of children dental caries
3. Dental big data repository including labelled images
• Current Research:
1. openEHR modelling for Oral and Maxillofacial Image
2. Children dental caries evaluation
• Scope:
1. Radiology structure reporting system
2. MDCT, DR image labelling of Chest Image
3. Radiology big data repository including labelled images
• Current Research:
1. openEHR modelling for Chest (Lung, Cardiac) Radiology
2. Five decease CDSS of Chest DR by Deep Learning
3. Lung RADs for Lung Cancer Score classification
Installations of iCDR
Radiology image-CDR
36. China Medical Software Association/中国医疗器械行业协会医用软件分会
7th Case – EHR.care by PROSPECTWELLNESS
l Open Care Solution to provide rapid development for healthcare
enterprise information platform, which is powered by openEHR-
based EHR.care
l Use case 1(implemented in 2017.12): Building information platform
for High-end Health Management Corporations covering four cities
in China,
l Use case 2(On-going):
Building information
platform for Private
Hospital Alliance
Corporation,
integrating all the
heterogeneous
systems.
37. China Medical Software Association/中国医疗器械行业协会医用软件分会
openEHR Industrial Alliance
openEHR产业化联盟
38. China Medical Software Association/中国医疗器械行业协会医用软件分会
Requirements & Motivations
Ø Enforce the Strength of openEHR in the domain
Ø Localization of Archetypes/Templates
Ø Linkage with the standardization efforts of MOH
Ø Training and Educations
Ø International Communication
Ø Collaborations both in technology and in market
39. China Medical Software Association/中国医疗器械行业协会医用软件分会
Proposal for COIA
Ø China openEHR Industrial Alliance – COIA
• Non-profit Organization
CMSA/
openEHR TC
COIA
Management
Board
Industrial
Members
Individual
Members
Modeling/Specification/
Development WGs
40. China Medical Software Association/中国医疗器械行业协会医用软件分会
What COIA can do for members ?
• Development and Maintenance of openEHR.org.cn
• Development and Maintenance of openEHR.org.cn/hmc
• openEHR Specification Translation and Development
• openEHR localization and Modeling services
• Standardization and linkage with other standardizing efforts
• Connection with openEHR Foundation
• Training and Workshops
• openEHR Certification
• ……
41. China Medical Software Association/中国医疗器械行业协会医用软件分会
openEHR国际:www.openEHR.org
openEHR中国:www.openEHR.org.cn
openEHR模型库: www.openEHR.org/ckm
openEHR中国模型库: www.openEHR.org.cn/hmc
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