The Complete Guide to Using AI in the Healthcare Industry in Viet Nam in 2025

Vietnam's healthcare system in 2025 stands at a hinge: national AI momentum - policy, funding and startups - is moving AI from pilots into clinical practice, with imaging and telemedicine tools already in 180+ hospitals.

Events like the Vietnam Health Summit 2025 coverage: AI and big data in healthcare are pushing big‑data and clinical AI into policy discussions, while sector analysis such as Invest Vietnam analysis: The State of AI in Vietnam for 2025 flags talent and fragmented data as the main bottlenecks; practical, short courses can close that gap - Nucamp's Nucamp AI Essentials for Work bootcamp teaches promptcraft and applied AI tools health teams can use to scale safer, patient‑centred deployments across hospitals and rural clinics.

Attribute	Information
Description	Practical AI skills for any workplace; prompts and AI tools, no technical background required.
Length	15 Weeks
Courses included	AI at Work; Writing AI Prompts; Job-Based Practical AI Skills
Cost	$3,582 early bird; $3,942 afterwards
Syllabus	AI Essentials for Work syllabus
Registration	AI Essentials for Work registration

“We do not see AI as a replacement for healthcare professionals, but rather as an intelligent assistant that can enhance clinical quality, personalise care, streamline workflows, and improve patient experiences.” - Associate Professor Dr. Tăng Chí Thượng

AI matters for Việt Nam's healthcare because it turns scarce specialist time and scattered data into faster, more accurate care: AI-powered imaging helps radiologists spot anomalies in X‑rays, CTs and MRIs more quickly, while telemedicine platforms bring those insights to patients in remote provinces who would otherwise travel hours for a specialist consult.

Beyond diagnostics, AI streamlines hospital workflows and records - paving the way to the government's digitisation goals - and enables remote monitoring and personalised follow‑up that keep chronic patients out of emergency rooms.

Local deployments already show how machine learning and automation can cut diagnosis time and administrative burden, and tools that pair large language models with clinical data are making telehealth consultations more informative and scalable.

For practical examples and implementation detail, see Xenia Tech's review of Vietnam's 2025 digital health trends and BytePlus's roundup of imaging use cases, or read Adamo Software's guide to how AI improves telemedicine workflows.

Digital tool	Primary benefit (Vietnam context)
EMR	Faster, secure access to patient records
Telemedicine	Expanded access for remote and underserved areas
AI diagnostics	Higher accuracy and reduced diagnosis time

“AI represents a bright future for high-quality healthcare in Việt Nam.”

Vietnam's new legal architecture for healthcare AI is shifting fast from guidance to enforceable rules: the Law on Digital Technology Industry (DTI Law), passed in June 2025 and set to take effect in full on 1 January 2026, introduces a risk‑based model, mandatory identification of AI‑generated products, regulatory sandboxes and generous incentives for AI projects and data centres - measures that will directly shape hospital deployments, procurement and clinical validation pathways (Baker McKenzie analysis of Vietnam Digital Technology Industry (DTI) Law: overview and incentives).

Alongside Decree No.13/2023 on personal data protection, and an actively reviewed draft Personal Data Protection Law expected to strengthen notice, consent and impact‑assessment rules for AI, health providers should assume imaging, triage and decision‑support tools will be treated as high‑risk and require tighter accountability and explainability - think of an AI‑assisted radiology report that must carry an explicit AI label so clinicians and patients instantly know a model contributed to the finding.

For clinicians and procurement teams, the takeaway is clear: regulatory compliance and robust data governance are now integral to any clinical AI roadmap (Vietnam Briefing article: Vietnam passes the Law on Digital Technology Industry (DTI Law)).

Regulation	Key points relevant to healthcare AI	Status / timing
DTI Law (Law on Digital Technology Industry)	Risk‑based AI classification (high‑risk/large‑impact), labeling of AI outputs, sandbox mechanism, investment incentives	Passed June 14, 2025; full effect 1 Jan 2026 (guidance pending)
Decree No.13/2023	Personal data protection rules: definitions, consent, sensitive data, obligations for controllers/processors and impact assessments	Issued April 17, 2023; in force
Draft Personal Data Protection Law	Stronger sector‑specific PD provisions for AI, required notices and opt‑out rights for R&D uses, regular impact assessment updates	Under review in 2025; enactment expected during 2025–2026

“The development, provision and deployment of AI must adhere to certain principles: it should be human‑centered; it must ensure transparency, safety and cybersecurity; it should comply with laws regarding data protection and consumer rights.”

Data governance, privacy and security are now front‑and‑centre for any AI project in Việt Nam's hospitals: health information is explicitly treated as sensitive personal data under the Personal Data Protection regime and Decree No.13/2023, so AI systems that touch imaging, triage or longitudinal patient records will need clear, verifiable consent, robust technical safeguards and documented impact assessments before deployment (DLA Piper guide to data protection laws in Vietnam).

The fast‑tracked Law on Data (effective 1 July 2025) adds a national governance layer - new concepts like important and core data, mandatory risk assessments and controls on transfers mean hospitals and vendors must map data flows carefully and expect extra scrutiny where clinical datasets intersect national interests (Hogan Lovells analysis of Vietnam's Law on Data).

Health‑specific rules are also coming: the Ministry of Health's draft decree on medical data management proposes a National Medical Database under MOH oversight, which will change how patient records, device data and medical images are collected, shared and authorised for secondary AI use (Baker McKenzie analysis of the draft decree on medical data management in Vietnam).

Practically, expect to prepare DPIAs/TIAs (filings often required within 60 days), appoint responsible privacy officers, implement 72‑hour breach notifications and design consent + minimisation controls before scaling an AI tool - otherwise a single misrouted AI report could trigger regulatory review rather than a clinical saved hour.

Requirement	Why it matters for healthcare AI
Explicit consent & data minimisation	Health data is sensitive; consent and purpose limits are mandatory
DPIA / TIA filings	Assess and document risks; cross‑border transfers require impact assessments (60‑day timelines)
Breach notification	Prompt reporting (e.g., 72 hours) and remediation obligations
National Medical Database & Data Law compliance	MOH registry and important/core data rules add governance and transfer constraints

Technology readiness is converging into a real enabler for clinical AI in Việt Nam: nationwide 5G rollouts, expanding fiber and cloud capacity, and a fast-growing data‑center market are turning telemedicine, edge inference and real‑time imaging into practical options for hospitals and rural clinics.

5G's low latency and network slicing make it possible to run AI inference on local servers or devices - boosting speed, privacy and reliability for remote diagnostics - an idea emphasised in the LKYSPP coverage of 5G‑AI synergy in Việt Nam (5G and AI synergy in Việt Nam - strategic edge analysis), while the government's Digital Infrastructure Strategy sets targets - 99% 5G/coverage ambitions, new undersea cables and AI‑ready data centres - that directly support hospital deployments (Việt Nam Digital Infrastructure Strategy 2025 - opportunities for investors).

The hard numbers matter: 11,000 5G base stations are already live with coverage set to expand, national cloud adoption is accelerating, and purpose‑built AI data centers are being planned - so hospitals can expect lower latency for image reads, scalable teleconsults and secure local model hosting rather than shipping sensitive scans overseas.

For clinicians and IT teams the “so what?” is simple: faster, more reliable connectivity plus local compute means AI can be a bedside assistant - delivering triage support, streaming high‑resolution imaging and secure follow‑up monitoring to provinces that historically waited hours for a specialist consult.

Metric	Status (2025)
5G base stations deployed	~11,000 (coverage ~26%; planned expansion)
AI adoption in hospitals	Imaging and clinical AI in 180+ hospitals
Data centre capacity	29 facilities; 51 MW operational; 11 MW under construction; 28 MW planned

“5G does not just support AI. It unleashes its full potential.” - Becky Fraser

Vietnam's healthcare AI ambitions are only as strong as the people who build and use the tools: despite a healthy pipeline - over 560,000 IT/digital workers and roughly 55–60k IT graduates a year - there's an acute shortage of specialised AI talent (LLMs, model training, Vietnamese NLP) and a pressing need to retrain clinical staff to use AI safely and efficiently, so policy and practice are leaning on targeted upskilling programmes and public‑private initiatives to close the gap; national measures such as the National AI Talent Attraction initiative (aiming to recruit 100 elite experts) sit alongside on‑the‑ground training like the VietHealth “AI Opportunities for Healthcare Professionals” programme, which targets 15,000 medical workers and ran a first session for 300+ clinicians in Hanoi, teaching mindset, skillset and toolset essentials and practical use of Gemini and ChatGPT to cut admin time and expand patient care capacity - for context on the national talent picture see the Invest Vietnam analysis on IT workforce and AI talent (2025) and for practical, clinic‑oriented prompts and use cases visit the Nucamp AI Essentials for Work syllabus - healthcare AI prompts and use cases.

Metric	Source / Value (2025)
Total IT/digital workforce	>560,000 (Invest Vietnam)
Annual IT-related graduates	55–60k (Invest Vietnam)
National AI Talent Attraction	Target: recruit 100 elite AI experts (Invest Vietnam)
VietHealth training project	Target: 15,000 medical workers; first session 300+ in Hanoi (VOVWORLD report on VietHealth training)

“VietHealth's course is structured around three pillars: mindset, skillset, and toolset. First, we focus on mindset, helping healthcare workers understand and approach AI with an open, informed perspective. This is foundational for everyone, regardless of role.”

Practical AI in Việt Nam's clinics is already more than theory: imaging, triage and telehealth workflows are being transformed by platforms such as VinBrain's DrAid™, which applies hundreds of AI models to X‑rays, CTs and MRIs and is now deployed across 182+ hospitals - a footprint that lets hospitals standardise data and speed decisions (medical report time fell from 4–5 minutes to 40–60 seconds, and record retrieval dropped from 15 minutes to 10 seconds) while on‑premises appliances and hybrid edge/cloud deployments enable fast, local inference for near‑real‑time triage and screening.

DrAid's multimodal pipeline (trained on millions of images and supporting speech‑to‑text reporting) can delineate dozens of findings in under 30 seconds with high sensitivity, and strategic device partnerships - like the integration with Vikomed's wall‑mounted and portable X‑ray systems that already supply over 1,000 machines nationwide - make AI‑enabled imaging available across Vietnam's provinces.

These concrete gains - measured in seconds saved per case and millions of scans analysed - turn imaging AI into a practical tool for faster diagnoses, smoother teleconsults and more reliable triage at the bedside; for technical and deployment detail see VinBrain's platform growth report and its overview of AI and data capabilities.

Metric	Value / Source
Hospitals with DrAid™	182+ (VinBrain platform growth report)
Medical image scans processed	~5.4 million (VinBrain AI and data platforms overview)
AI models / multimodality	300+ models; X‑ray, CT, MRI, speech and text integration (NVIDIA blog on VinBrain healthcare AI deployment)
Typical detection speed & accuracy	Up to 95 findings in <30s; >90% sensitivity/accuracy (VinBrain)
Reported workflow impact	Report time 4–5 min → 40–60 sec; productivity gains up to ~80% with on‑prem appliance

“By applying speech-to-text technology for report creation, we can first save resources by eliminating the need for a typist. Second, radiologists can immediately document their findings through the software's report, allowing them to check results instantly and make conclusions on the spot” - Dr. Mai Huy Thong

Starting an AI project in a Việt Nam healthcare facility begins with a pragmatic checklist: first run a quick digital‑maturity scan - connectivity, EMR readiness and device compatibility - so pilots don't stall on day one (see the cross‑sectional assessment of five hospitals).

Next, invest in role‑based training: VietHealth's 2‑year “AI Opportunities for Healthcare Professionals” programme uses Google's AI Essentials to teach mindset, skillset and toolset skills for doctors, pharmacists, nurses and admins, closing the “never used an AI tool” gap and preventing misuse.

Pilot small and clinical‑first: co‑develop models with a local hospital partner to validate accuracy and workflow fit (RMIT's collaboration with Tam Duc Heart Hospital is a good model).

Plan for infrastructure and governance from the outset - patchy internet, legacy devices and consent/data controls are common hurdles - so include edge or hybrid hosting, clear DPIAs and a measured rollout.

Finally, measure simple, clinical KPIs (time saved on admin, report turnaround, triage latency) and iterate; VietHealth notes that routine tasks that took two–three hours can drop to half an hour, freeing time for patient care and research.

These steps turn abstract pilots into repeatable wins that clinicians trust and use.

Step	Action	Source
1. Assess readiness	Digital maturity scan (connectivity, EMR, devices)	Digital health adoption study in Vietnam (five hospitals) - JMIR
2. Train staff	Role‑based courses: mindset, skillset, toolset (Google AI Essentials)	VietHealth AI training project frees up time for patient care - VOV World
3. Pilot with partner	Co‑develop and validate models in a clinical setting	RMIT and Tam Duc Heart Hospital AI collaboration - RMIT
4. Fix infra & governance	Address connectivity, device compatibility, consent and DPIAs	VietHealth project: connectivity and governance challenges - VOV World
5. Measure & scale	Track turnaround time, admin hours saved, clinical accuracy; iterate	VietHealth outcomes and measured KPIs - VOV World

“VietHealth's course is structured around three pillars: mindset, skillset, and toolset. First, we focus on mindset, helping healthcare workers understand and approach AI with an open, informed perspective. This is foundational for everyone, regardless of role.”

Funding and incentives are finally catching up to ambition: the government's new National Data Development Fund, seeded with an initial capital of VNĐ1 trillion (roughly US$38.4 billion), is explicitly mandated to back AI, big data, cloud and related infrastructure - with an operational remit that can mobilise loans, sponsorships and donations to accelerate digital transformation in rural and mountainous areas and to fund scientific research and data initiatives (Vietnam News: National Data Development Fund to fuel digital transformation).

Administered by the Ministry of Public Security and governed by Decree No.160/2025, the fund's scale means it can underwrite public–private partnerships that build AI‑ready data centres, seed national medical datasets and co‑finance pilots that bring imaging, telemedicine and decision‑support tools into under‑resourced hospitals (ITNews: Vietnam sets up national data fund to strengthen AI infrastructure).

The trade‑off is explicit: programs touching “critical” or “core” datasets - those tied to national defence, security or foreign affairs - will carry stricter controls, so healthcare vendors and hospitals should plan partnership terms, compliance measures and clear data‑governance milestones from day one.

In short, a single, well‑structured national fund has created both a financial lever and a governance checkpoint that can finally move healthcare AI from isolated pilots to scalable, accountable deployments - imagine a clinic that once waited weeks for specialist reads getting secure, AI‑assisted diagnostics in hours instead of months.

Attribute	Detail
Initial capital	VNĐ1 trillion (~US$38.4 billion)
Administered by	Ministry of Public Security
Governing regulation	Decree No.160/2025/NĐ‑CP
Focus areas	AI, big data, cloud, blockchain, IoT; priority to rural/mountainous regions
Activities supported	Infrastructure, research, expert networks, development of critical/core datasets

Vietnam's AI momentum is no longer hypothetical - policy, investment and on‑the‑ground pilots are converging to make smarter, faster, patient‑centred care a practical reality: the AI in Health Conference 2025 framed AI as a core driver for a Smart Healthcare system in HCM City (AI in Health Conference 2025 HCM City report), the national AI market is already substantial and growing fast (Vietnam AI market outlook 2024 (USD 753.4M) - Nexdigm report), and healthcare spending is forecast to rise sharply through 2030 - all of which creates room for scaled telemedicine, imaging AI and remote monitoring that can shave weeks from diagnostic waits; imagine a provincial clinic that once waited weeks for specialist reads getting secure, AI‑assisted diagnostics in hours.

The catch is predictable: equity, data privacy and a trained workforce matter as much as models and servers, so short, practical upskilling - courses like the Nucamp AI Essentials for Work syllabus - alongside clear governance, will determine whether AI closes gaps or widens them.

For Vietnam between 2025–2030 the sensible bet is on cautious scaling: use regulation, funding and training to turn fast wins in imaging and telehealth into durable improvements in access, quality and cost.

Metric	Value / Source
Vietnam AI market (2024)	USD 753.4 million - Nexdigm Vietnam AI market report (2024)
AI market CAGR (2024–2030)	~14.96% - Nexdigm Vietnam AI market report (CAGR 2024–2030)
Healthcare expenditure projection	USD 23.3B (2025) → USD 33.8B (2030) - Global-Angle report on Vietnam healthcare investment and future trends

“We do not see AI as a replacement for healthcare professionals, but rather as an intelligent assistant that can enhance clinical quality, personalise care, streamline workflows, and improve patient experiences.” - Associate Professor, Dr. Tăng Chí Thượng