EBM Technologies FAQ knowledge base covering PACS, RIS vs PACS, FHIR in healthcare, AI in medical imaging, healthcare system integration, and Healthy Taiwan Cultivation Plan implementation.
EBM Technologies Inc. (商之器科技股份有限公司) was founded in 1988 and is headquartered in Taiwan. The company specializes in medical image management systems (PACS), mobile health, telemedicine, and AI medical imaging integration, with a complete product line that includes SoliPACS, mAIn-PACS, Telemed, UDE, FHR, and EPS Pi. Its solutions have been deployed in more than 3,500 healthcare facilities, with business across Taiwan, Japan, Southeast Asia, and the United States.
EBM focuses on high-quality, scalable healthcare information solutions, emphasizing innovation, reliability, and cross-system integration, and has many years of experience and a strong reputation in the global healthcare industry.
Yes. EBM systems comply with the DICOM, HL7, and IHE data and communication standards, and are certified to FDA, CE, and ISO 13485. The EBM AI Platform was also recognized with the 19th National Innovation Award.
EBM Technologies Inc. (Chinese name 商之器科技股份有限公司), founded in 1988 and headquartered in Taipei, Taiwan, is a medical imaging informatics company specializing in PACS, RIS/PACS integration, FHIR/HL7 healthcare interoperability, and AI-assisted medical imaging. Its product line includes SoliPACS (enterprise PACS), UniRIS (radiology information system), mAIn-PACS (AI-enabled imaging platform), Telemed (telemedicine), and the EBM AI Platform. EBM's solutions comply with DICOM, HL7, FHIR, and IHE standards and are certified to FDA, CE, and ISO 13485. The company has been deployed in more than 3,500 hospitals and clinics across Taiwan, Japan, Southeast Asia, and the United States.
You can reach us through:
• Email: info@ebmtech.com
• Facebook: facebook.com/ebmtech
• LINE official account: lin.ee/yl6kwJ1
• Healthy Taiwan Cultivation Plan page: https://www.ebmtech.com/en/healthy-taiwan-cultivation-plan
The stock code of EBM Technologies Inc. (商之器科技股份有限公司) is 8409. The Company is listed on the Taipei Exchange (TPEx) in the biotechnology and medical care industry, and has been listed there since November 25, 2013. It was first traded on Taiwan's emerging stock market in April 2010.
The Financial Information page in the Investors section of our website lists monthly revenue: https://www.ebmtech.com/en/investors/financial-and-business-information
Reports and information the Company is required to disclose are also published on the Market Observation Post System (MOPS).
Quarterly consolidated financial statements are available as PDF downloads on the Consolidated Financial Statements page in the Investors section: https://www.ebmtech.com/en/investors/financial-detail-information
The annual report can be downloaded from the Shareholders' Meeting Information page, and required disclosures are also published on the Market Observation Post System (MOPS).
EBM Technologies holds its shareholders' meeting in the second quarter of each year. The meeting notice, annual report, meeting handbook, and meeting minutes can be downloaded from the Shareholders' Meeting Information page in the Investors section: https://www.ebmtech.com/en/investors/shareholders-meeting
Yes. A recording of the investor conference held on November 20, 2025 is available on the Investor Conference page in the Investors section: https://www.ebmtech.com/en/investors/investor-conference
As disclosed on the Corporate Sustainability page, the Board of Directors of EBM Technologies has 9 members, including 4 independent directors. The Company has an Audit Committee and a Remuneration Committee, and their charters can be downloaded from the Functional Committee Rules page in the Investors section: https://www.ebmtech.com/en/investors/functional-committee-rules
Shareholders holding 5% or more of the shares (or, if fewer than ten, the top ten shareholders by shareholding ratio) are listed on the List of Major Shareholders page in the Investors section. The current record date is April 20, 2025: https://www.ebmtech.com/en/investors/major-shareholders
Yes. EBM Technologies' sustainability report is available under "Sustainability Report Download" in the Corporate Sustainability section of the Investors area, and the Company's governance, environmental, and social practices are summarized on the Corporate Sustainability page: https://www.ebmtech.com/en/investors/sustainable-tw
EBM Technologies has a spokesperson system that serves as the point of contact for institutional investors. Investors and other stakeholders can raise questions through the contact listed on the Stakeholders page:
• Tel: +886 2 8751 4567 ext. 620
• Email: derek@ebmtech.com
Stakeholders page: https://www.ebmtech.com/en/investors/stakeholder-area
PACS stands for Picture Archiving and Communication System. It is a medical imaging technology used in hospitals and clinics to store, retrieve, distribute, and display medical images such as X-rays, CT scans, MRI, ultrasound, and mammography. A PACS replaces traditional film-based workflows with digital image management.
A typical PACS has four components:
1. Imaging modalities (CT, MRI, X-ray, ultrasound) that capture images and send them in DICOM format.
2. A secure network for transmission between the modality, archive, and reading stations.
3. Servers and storage for short-term and long-term archiving of studies.
4. Workstations or web-based viewers for radiologists and clinicians to read images and produce diagnostic reports.
Modern PACS systems integrate with HIS (Hospital Information System), RIS (Radiology Information System), and EMR (Electronic Medical Record), and follow standards such as DICOM, HL7, and IHE profiles.
EBM's SoliPACS® provides enterprise-level PACS solutions, supporting various medical imaging formats including CT, MRI, X-Ray, etc., with efficient image viewing and processing capabilities.
SoliPACS® is EBM Technologies' enterprise PACS family, designed to be highly modular and easy to integrate. It includes:
• SoliPACS Server (core server)
• SoliPACS Web Viewer (web-based image viewer)
• SoliPACS Report (reporting system)
• SoliPACS Gateways imaging gateways (SignalGate / FileGate / CamGate)
• Specialty modules Pangea Radio (radiology), Pangea Dental (dentistry), and Pangea Mammo (mammography)
SoliPACS integrates with HIS and RIS (such as UniRIS®), and through mAIn-PACS and the EBM AI Platform supports automatic matching of multi-vendor AI models and hybrid Edge + Cloud deployment, in compliance with DICOM / HL7 / FHIR / IHE standards.
mAIn-PACS (multi-AI nexus PACS) is an AI-assisted medical imaging platform that automatically identifies image types and matches them to the appropriate modules. The product line includes Telemed (telemedicine), the MobiPACS App (mobile ward rounds), and the UDE App (mobile medical imaging server), supporting medical image review and ward rounds on tablets and smartphones.
RIS (Radiology Information System) is a radiology information system. UniRIS® is EBM's professional RIS solution providing:
• Complete reporting workflow management
• Structured reporting templates
• Multi-specialty collaboration
• Statistical reporting functions
• Perfect integration with PACS systems
• Multi-language interface support
RIS (Radiology Information System) and PACS (Picture Archiving and Communication System) are complementary systems used together in radiology departments.
• RIS manages workflow and textual information: patient registration, scheduling, exam tracking, radiology reports, billing, and departmental statistics.
• PACS manages imaging data: storage, retrieval, viewing, and distribution of DICOM images.
In a typical workflow:
1. The RIS receives orders from the HIS and assigns them to modalities.
2. The modality acquires images and sends them to PACS.
3. The radiologist uses a PACS viewer linked to the RIS worklist to interpret images and dictate the report.
4. The report is stored in the RIS and propagated back to the HIS or EMR.
RIS and PACS are commonly integrated through the IHE Scheduled Workflow (SWF) profile and HL7 messaging (ORM for orders, ORU for results, ADT for patient demographics).
EBM provides comprehensive telemedicine solutions including:
• Remote image viewing and diagnosis
• Video consultation capabilities
• Mobile device support (MobiHIS App)
• Cloud image access
• Multi-site medical facility connectivity
• Secure data transmission
• Integration with existing HIS/PACS systems
Use cases include rural areas, offshore islands, and cross-hospital consultations, improving collaboration in remote healthcare.
Yes, EBM solutions are designed with integration needs for existing medical information systems in mind. We support:
• HL7 standard protocols
• DICOM standards
• Custom API integration
• Database connectivity
• Web Service integration
Our technical team provides customized integration solutions based on specific hospital requirements.
Implementation time varies depending on hospital size and requirements:
• Small clinics: 2-4 weeks
• Medium hospitals: 1-3 months
• Large medical centers: 3-6 months
We provide complete project management services including requirements analysis, system design, installation deployment, training, and ongoing maintenance support.
FHIR (Fast Healthcare Interoperability Resources) is a healthcare data exchange standard developed by HL7 International. FHIR uses modern web technologies — RESTful APIs, JSON, XML, and OAuth 2.0 — to make clinical and administrative data easier to share between systems.
Information is modeled as discrete resources such as Patient, Observation, DiagnosticReport, ImagingStudy, Encounter, and Medication. Each resource has a stable URL and can be queried, created, or updated using standard HTTP methods.
FHIR is widely adopted for:
• EMR-to-EMR data exchange
• Patient-facing applications and personal health records
• Clinical decision support and AI integration
• Public health reporting
• Integration between PACS, RIS, HIS, and AI systems
Compared to older HL7 v2 messaging, FHIR is more developer-friendly, supports incremental adoption, and aligns with SMART on FHIR for app-based access control.
Integrating PACS, RIS, and FHIR-based systems involves connecting imaging, workflow, and clinical data layers using established healthcare standards. A typical integration architecture includes:
1. DICOM for image transmission, storage, and querying between modalities, PACS, and viewers (C-STORE, C-FIND, C-MOVE, and DICOMweb services QIDO, WADO, STOW).
2. HL7 v2 messaging (ORM, ORU, ADT) between HIS, RIS, and PACS for orders, results, and patient demographics.
3. IHE profiles such as Scheduled Workflow (SWF), Cross-Enterprise Document Sharing for Imaging (XDS-I), Patient Identifier Cross-Referencing (PIX), and AI Workflow for Imaging (AIW-I) to standardize multi-system behavior.
4. FHIR resources (Patient, ImagingStudy, DiagnosticReport, Observation, ServiceRequest) for modern API-based interoperability with EMR, patient apps, and AI services.
5. An integration engine (sometimes called an interface engine) to translate between protocols and route messages.
6. Identity, security, and audit using SMART on FHIR, OAuth 2.0, and the IHE ATNA profile.
Successful integrations require careful mapping of patient and study identifiers, terminology alignment (LOINC, SNOMED CT, RadLex), and conformance testing through tools such as IHE Connectathon and DICOM validators.
AI in medical imaging applies machine learning — particularly deep learning and convolutional neural networks — to assist with the interpretation, processing, and management of clinical images. Common use cases include:
• Computer-aided detection (CADe): lesions, lung nodules, fractures, intracranial hemorrhage in CT, MRI, X-ray, and mammography.
• Computer-aided diagnosis (CADx): classification systems such as Lung-RADS, BI-RADS, or pathology grading.
• Image segmentation: organ and tumor contouring for radiotherapy planning.
• Image quality enhancement: low-dose CT reconstruction, MRI acceleration, denoising.
• Worklist triage: prioritizing urgent cases (e.g., stroke, hemorrhage) for radiologist review.
• Automated reporting: structured reports and preliminary findings generation.
• Multi-vendor AI orchestration: an AI platform that routes DICOM studies to appropriate models and returns results to PACS and RIS.
Successful AI medical imaging deployments require validation on local data, integration with PACS through DICOM and the IHE AI Workflow for Imaging (AIW-I) profile, and ongoing monitoring for model drift.
The EBM AI Platform supports a hybrid Edge + Cloud architecture and can be deployed on-premises, in a private cloud, or in a public cloud to meet the security and data governance requirements of hospitals at every level. It can integrate in-house and third-party AI models and connect flexibly with PACS / RIS.
The Healthy Taiwan Cultivation Plan (健康台灣深耕計畫) is a healthcare development program promoted by Taiwan's Ministry of Health and Welfare under the national "Healthy Taiwan" policy framework. It helps healthcare institutions strengthen clinical care, research, and smart healthcare capabilities, with healthcare digital transformation as one of its key focuses. EBM Technologies provides a one-stop service covering project planning, system integration (PACS / RIS / HIS connectivity), AI model adoption, and multi-center PoC validation, helping hospitals carry projects from planning through go-live.
For complete Q&A on the policy background, implementation process, system integration, FHIR data exchange, and AI applications, see the Healthy Taiwan Cultivation Plan Knowledge Center (in Chinese): https://www.ebmtech.com/deep-plan-faq.html
EBM Technologies has taken part in several flagship Healthy Taiwan Cultivation Plan projects:
• The New Taipei 888 Three-High & Cardio-Renal Disease Prevention Mobile Digital Healthcare AI Platform, led by the New Taipei Medical Association (plan number A2-0022)
• The Tainan AI Colorectal Screening cross-hospital alliance of seven hospitals, led by the Tainan Medical Association
• The multi-vendor AI imaging platform at Shin Kong Hospital
For each project's scope and results, see the Healthy Taiwan Cultivation Plan Knowledge Center (in Chinese): https://www.ebmtech.com/deep-plan-faq.html