Programming Fundamentals (Python / JS / C)
MedTech leans on Python (data/AI), JS/TypeScript (Web/App), and C/C++ (device firmware).
MedTech Skill Map
A skill map for non-clinical career changers entering MedTech / Digital Health in Taiwan (2024-2026)
29 result(s)
Web & App Development
Front/back-end for hospital information systems (HIS), patient apps, telemedicine platforms, and health-management UIs.
Cloud & Deployment
Deploying healthcare apps on AWS/GCP/Azure, with compliant storage and access control for medical data.
Databases & Data Modeling
SQL/NoSQL plus healthcare-specific structures such as EHR, lab results, and imaging metadata.
DevOps & Engineering Discipline
Version control, automated testing, and CI/CD, which in device software must map to IEC 62304's traceable processes.
Embedded & Device Firmware
MCU firmware, I2C/SPI comms, and biosignal sensor integration, the low level of wearables and bedside instruments.
Python for Data & AI
NumPy/Pandas/Matplotlib plus scikit-learn, the lingua franca of medical data analysis.
Machine Learning
Supervised/unsupervised learning, evaluation, and overfitting control, with healthcare emphasizing interpretability and calibration.
Deep Learning
CNN/Transformer with TensorFlow/PyTorch, the workhorse for medical imaging and signal analysis.
Medical Imaging & DICOM (AI side)
Reading/writing the DICOM format, PACS concepts, and preprocessing for imaging AI.
Clinical NLP
NLP and information extraction over clinical notes, lab reports, and nursing records.
Data Engineering for Health Data
Building pipelines to extract, clean, and integrate data from HIS, sensors, and wearables.
Statistics & Biostatistics
Hypothesis testing, regression, survival analysis, and statistical literacy for clinical study design.
Basic Anatomy & Physiology
A functional grasp of body systems, enough to understand what a product measures or assists.
Medical Terminology
Reading the abbreviations and word-roots on records and lab orders, the minimum for cross-domain communication.
Clinical Workflows & Care Process
The real flow from registration to consult, orders, labs, treatment, and discharge, and clinicians' time pressure.
Hospital Operations & HIS Ecosystem
How hospital systems (HIS/EMR/PACS/LIS) interconnect, plus procurement and deployment realities.
Patient Safety & Healthcare Quality
Do-no-harm principles, error taxonomies, alert fatigue, and human factors, the core value system of medical software.
Software as a Medical Device (SaMD)
Deciding whether your software is a medical device and which risk class, which sets the entire regulatory path.
ISO 13485 Quality Management System
The QMS baseline for device companies, covering design/development, document control, and post-market surveillance.
IEC 62304 Software Lifecycle
The development-process standard for device software, with three safety classes (A/B/C).
ISO 14971 Risk Management
The risk-management framework for devices, tightly coupled with 13485 design and 62304 software processes.
TFDA & FDA Regulatory Basics
Taiwan TFDA device registration, AI/ML device guidance, and Predetermined Change Control Plans (PCCP).
Privacy & Security
Personal Data Protection Act, de-identification of medical data, access control, and security governance.
HL7 & FHIR Interoperability
The modern standard for health-data exchange (FHIR), letting different systems talk.
DICOM Interoperability
The transmission/storage standard for medical imaging, the basis of imaging-system interoperability.
Cross-Domain Communication & Requirements
Collaborating with clinicians, regulators, and hospital IT, the scarcest soft skill and the one that most decides success.
UX & Healthcare Human Factors
Designing safe, usable interfaces for high-stress, fatigue-prone clinical settings, where usability is patient safety.
MedTech Project & Product Management
Driving products under regulatory and quality constraints, coordinating engineering, clinical, regulatory, and market.