OUR WORK

WHAT WE DO

Our work is organized across five complementary areas that support the responsible evaluation, adoption, implementation and ongoing use of Digital Medicine and health AI.

Education & Capability Building

Developing learning resources, professional programs, executive briefings and multidisciplinary discussions that help healthcare professionals, leaders, researchers and innovators understand, evaluate, govern and implement Digital Medicine responsibly.

Evidence & Implementation Readiness

Supporting structured evaluation of intended use, available evidence, clinical relevance, patient safety, regulatory applicability, usability, data governance, workflow integration and organizational readiness before adoption or scale.

Healthcare Implementation, Monitoring & Evaluation

Supporting pilot design, implementation pathways, workflow integration, clearly defined responsibilities, monitoring and escalation processes, and measurement of relevant clinical, patient-safety and organizational outcomes.

Responsible AI, Data Governance & Digital Safety

Advancing responsible approaches to health AI, data governance, privacy, cybersecurity, transparency, human oversight, accountability, patient safety and lifecycle monitoring.

Research & Cross-Sector Collaboration

Connecting healthcare organizations, universities, researchers, health technology companies and other stakeholders to generate evidence, exchange knowledge and address practical healthcare challenges.

Five connected areas of work

Technologies and care models shaping Digital Medicine

AI & Medical Software

Digital Therapeutics & Digital Interventions

Remote Monitoring & Digital Measures

Virtual & Connected Care

Responsible evaluation, governance and implementation of artificial intelligence and software used for medical and healthcare purposes, including health assessment, monitoring, clinical decision support, diagnosis, treatment support and healthcare operations.

Evidence-based software and digitally delivered interventions designed to prevent, manage or treat health conditions, support behavior change, or complement established healthcare pathways.

Connected technologies, digital measures and digital biomarkers that support the collection, interpretation and use of health information beyond traditional healthcare settings.

Care models that connect patients, healthcare professionals, health information and digital technologies across locations and stages of care, including virtual care, remote follow-up and digitally supported care pathways.

OUR SCOPE

Healthcare AI Governance, Patient Safety & Implementation Readiness

Artificial intelligence is increasingly being used across clinical, operational, administrative and care-support workflows. Responsible implementation requires more than technical performance. It requires appropriate evidence, proportionate governance, clear accountability, meaningful human oversight, safe workflow integration and ongoing monitoring.

Digital Medicine Vietnam is developing a practical Healthcare AI Governance, Patient Safety & Implementation Readiness Framework for healthcare organizations and health technology companies operating in Viet Nam.

The framework is intended to support structured consideration of:

• AI inventory, intended use and context of use

• Risk categorization, impact assessment and regulatory applicability

• Evidence, performance and, where relevant, clinical validity

• Patient safety, human factors and potential failure modes

• Data quality, representativeness, bias and governance

• Privacy, cybersecurity and technical reliability

• Transparency, appropriate explainability, human oversight and accountability

• Third-party and vendor governance

• Workflow integration, organizational readiness and change management

• Workforce competency, education, training and feedback

• Documentation, traceability and evidence readiness

• Post-deployment performance monitoring, change control, incident management and periodic review

The framework will be informed by applicable Vietnamese laws and regulations relating to artificial intelligence and, where relevant, healthcare, medical devices, personal data and cybersecurity. It will also draw on recognized international approaches to responsible AI governance, quality, patient safety, risk management and lifecycle implementation.

The framework is currently in development and will be progressively refined through evidence review, multidisciplinary expert input, practical testing and stakeholder engagement.

This initiative supports organizational governance, patient safety, implementation readiness and preparation for applicable regulatory requirements. It does not constitute regulatory approval, certification, formal conformity assessment or legal advice.

FLAGSHIP FOCUS

Responsible AI in Healthcare

EMERGING TECHNOLOGY WATCH

Medical Digital Twins

Evaluation, Governance & Implementation Readiness

Medical digital twins are an emerging area of Digital Medicine with potential applications in health assessment, prediction, simulation and decision support.

Digital Medicine Vietnam is following developments in this field with particular attention to evidence, model validity, data governance, patient safety and implementation readiness.

A credible medical digital twin should be more than a static model, dashboard or conventional simulation. Its characteristics and evidence requirements should be considered in relation to its intended purpose, underlying data, model architecture and actual use in healthcare.

Areas of interest include:

Intended use and healthcare context
Evidence, model verification, validation and uncertainty
Data governance, interoperability and cybersecurity
Human oversight and accountability
Patient safety and risk management
Workflow integration and organizational readiness
Post-deployment monitoring and continuing suitability

This remains an exploratory area of work and is not currently a core service or flagship program of Digital Medicine Vietnam.

PRACTICAL OUTPUTS

Depending on the healthcare need, scope and maturity of each initiative, our work may include:

Professional Education & Executive Briefings

Learning programs, workshops, executive briefings and multidisciplinary capability-building activities for healthcare professionals, leaders and other stakeholders.

Evidence, Regulatory & Landscape Insights

Evidence summaries, regulatory and policy analysis, landscape reviews and selected reports relevant to Digital Medicine and health AI in Viet Nam.

Governance Frameworks & Readiness Tools

Practical frameworks, checklists, assessment tools and implementation resources that support structured organizational decision-making, governance and readiness.

Implementation, Monitoring & Evaluation Support

Pilot design, implementation planning, workflow development, governance processes, monitoring approaches and measurement of relevant outcomes.

Research & Evidence Generation

Research collaboration, implementation studies, evaluation projects and development of locally relevant evidence.

Knowledge Exchange & Multidisciplinary Collaboration

Expert roundtables, professional discussions, international knowledge exchange and stakeholder engagement around emerging Digital Medicine challenges.

Our role is not to promote technology for its own sake. We help connect innovation with clearly defined healthcare needs, appropriate evidence, responsible governance, patient safety and practical implementation requirements.

Turning knowledge into useful resources and action

WORK WITH US

We welcome collaboration with healthcare organizations, health technology companies, universities, researchers, professional experts and international partners committed to advancing responsible, evidence-based and locally relevant Digital Medicine and health AI in Viet Nam.

Potential areas of collaboration include professional education, evidence evaluation, organizational readiness, responsible AI governance, implementation and evaluation, research, knowledge exchange and locally relevant evidence generation.

Advancing responsible Digital Medicine together

Editorial & Legal Notice