Pirapar Patamasucon Sachs

Health Informatics & Quality Improvement Expertise

Dedicated and results-driven healthcare professional with exceptional experience in health informatics, data analysis, and design of predictive models for health outcomes. Possesses deep understanding of health system operations, patient care challenges, and the importance of clinical data analysis to support improved health outcomes.  Adept at liaising with cross-functional teams to ensure success in achieving project goals and multi-disciplinary initiatives.  Skilled at leveraging medical training, health system knowledge, and informatics expertise to develop data and technology-driven informatics solutions to support healthcare quality and process improvement.

Strengths & Expertise

Health Informatics │ Data Science │ Quality & Process Improvement │ EHR Implementation

Expertise in Medical Terminology │ Project Management │ Data Analysis │ Lean Healthcare

A3 Thinking │ Cross-functional Collaboration │ Program Development │ Health System Operations

University of Pittsburgh                                                                                                                                       2024 – 2025

Master of Science in Health Informatics Student

Completed Master of Science in Health Informatics with a concentration in Healthcare Supervision & Management to gain a deep understanding of health informatics, data science and AI, and its role in improving health care.

• Achieved a 4.0 GPA while completing rigorous courses and affiliated course projects.
• Designed, validated, and implemented predictive models aimed at optimizing health outcomes and operational efficiency for multiple health care focused projects.

Projects included:

• Project Manager & Team Leader for Lean Healthcare A3 Project: Reducing Operating Room (OR) Turnaround Time.
• Compare and Contrast Agile vs. Traditional Project Management Methods in a research paper titled The Superiority of Agile Over Traditional Project Management: A Modern Approach.
• Type 2 Diabetes Mellitus Prediction Utilizing Supervised Machine Learning Algorithms: A Performance Analysis and Comparison Study.
• Building a more robust and reliable predictive model with ensemble learning approach in machine learning method for stroke risk prediction using R (Data Exploration Project Using R).
• Comparison of predictive models using the ‘Stroke Risk Prediction’ dataset.  The goal of this project is to offer insights into the performance of various algorithms such as Decision Trees, Naïve Bayes, and their optimized or modified variants.
• Implemented a PDSA cycle to improve prenatal care quality and reduce low birth weight rates in Pennsylvania through data-driven interventions and barrier identification.
• Developed a comprehensive database application for COVID-19 death trend analysis by state and cause, providing insights to assist public health officials in making data-driven decisions.
• Independently analyzed Cloud-Based EHR Systems to identify privacy and security gaps. Developed a Privacy & Security Checklist and evaluated compliance with HIPAA and HITECH regulations, providing recommendations to enhance system security through encryption and access controls.
• Analyzed the efficiency and accuracy improvements driven by Computer-Assisted Coding (CAC) Systems, focusing on error reduction and enhanced reimbursement processes in healthcare organizations.

Doane University & University of California San Diego Division of Extended Studies                             2021 – 2023

• Completed prerequisite courses for Physician Assistant Program application process.

Post Graduate Sub-Intern                                                                                                                                   2017 – 2018

• Participated in multiple Post Graduate Sub-Intern clinical experiences in hospital and clinic settings to expand therapeutic knowledge. 
• Experiences included Family Medicine, Psychiatry, Pathology, Pediatric Intensive Care, Diagnostic Radiology, and General Pediatrics.

Maimonides Infants & Children’s Hospital, Brooklyn, NY                                                                           2015 – 2016

Pediatric Resident Physician 

Examined, diagnosed, and managed care of pediatric patients in inpatient and outpatient settings.

• Educated patients and caregivers on diagnosis, treatment options, and management of chronic medical conditions. 
• Delivered comprehensive discharge planning and coordinated referrals to specialists to ensure continuity of care.
• Conducted health education presentations to families during pediatric department-led community health fairs to promote nutrition, physical activity, and wellness.

Master of Science in Health Informatics, concentration in Healthcare Supervision & Management 4.0 GPA

University of Pittsburgh

Doctor of Medicine

St. Matthew’s University School of Medicine

Bachelor of Science in Biology

George Washington University

Certifications & Training 

• Certificate in Leadership in Health Informatics and M.S. Health Informatics
• Assistant Physician (AP) License – State of Missouri 
• Green Belt in Lean Healthcare 
• The Social and Technical Context of Health Informatics, Johns Hopkins University
• Leading Change in Health Informatics, Johns Hopkins University 
• The Outcomes and Interventions of Health Informatics, Johns Hopkins University

Technology

Microsoft Office Suite │ SPSS │ Stata │ Minitab │ StatCrunch │ R │ Python │ Orange Data Mining │ Jupyter Notebook │ Google Colab │ Tableau │ Power BI │ SQL (MySQL, SQL Server) │ Git │ GitHub │ Scikit-learn │ XGBoost 

AdaBoost │ Matplotlib │ Seaborn │ Electronic Heath Record (EHR) Systems: Epic, Cerner, NextGen, Allscripts, Practice Fusion & Meditech

Publications

• Chandnani, H.K., & Patamasucon, P. Consultant for Pediatricians/Lumbar Diskitis in a 20-Month-Old Boy. Consultant for Pediatricians, 13(7), 335. July 2014.   Pub Status: Published.
• Chandnani, H.K., Morgan, K., & Patamasucon, P. Consultant Pediatricians/A Boy with Neutropenia After a Dog Bite. Consultant for Pediatricians, 13(11), 504. November 2014. Pub Status: Published.
• Sivaraman, S., Wong, B.H., & Patamasucon, P. Contemporary Pediatrics/Child with Fever After Foreign Travel. Contemporary Pediatrics, 31(7), 29–30. July 2014. Pub Status: Published.