
Peachapong Poolpol
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Peachapong Poolpol
- 5 Monate, März 2025 - Juli 2025
Student Assistant
Deggendorf Institute of Technology
- Assisted lecturers in identifying and securing funding opportunities for 5 different research projects on technology and student support under the Digitalization College initiative. - Support and coordination of activities within the framework of the Global Digital Health (GDH) project funded by the Virtual University of Bavaria (vhb).
- 2 Jahre und 3 Monate, Sep. 2021 - Nov. 2023
Software Product Manager Lead
H Lab Co, Ltd, Thailand
- Develop cloud-based Saas for Hospital Information System (HIS) specifically focused on medication management, e-prescriptions, pharmacy workflows, electronic medical records, and patient registration, supporting daily clinical operations and medication safety using open-EHR as backbone. - Gained a deep understanding of clinical workflows and hospital IT ecosystems by conducting interviews, workshops, and requirement sessions with physicians, nurses, pharmacists, and hospital IT teams.
- Familiarized with digital health product under Comarch Healthcare in Poland e.g. Remote patient monitoring, Telemedicine and Telecare, Hospital software, Personal Health Record. - Managed telemedicine and personal health record implementations across 4 APAC countries. - Delivered product demos and solution workshops to 30+ stakeholders from hospitals and ministries. - Aligned product customization with client requirements, increasing user adoption by 20%.
- 8 Jahre, Apr. 2013 - März 2021
Medical Doctor
Public Hospital
- Ab Okt. 2026
Master’s Thesis Student
Fraunhofer Institute for Digital Medicine MEVIS
- Contributing to the ODELIA (Open Source Swarm Learning) project. - Research focus: Explainable AI (XAI) for breast cancer detection using 3D breast MRI data.
Ausbildung von Peachapong Poolpol
- Bis heute 1 Jahr und 6 Monate, seit Okt. 2024
Digital Health
Technische Hochschule Deggendorf
Thesis: Comparative Faithfulness Evaluation of Post-Hoc Explanation Methods for 3D Vision Transformers in Tumor Classification from Breast MRI
- 4 Jahre, Aug. 2019 - Juli 2023
Data Science
Srinakharinwirot University
- 2 Jahre, Aug. 2017 - Juli 2019
Health Research and Managment
Chulalongkorn University
- 2007 - 2013
Medicine
Chulalongkorn University
Sprachen
Englisch
Fließend
Deutsch
Grundlagen
Thai
Muttersprache
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