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Ivan William
Harsono

"Digital Health Transformation Consultant" | Health meet Product, Data, Engineering, and Research

Intro

Medical informatician, Health digitalization enthusiast, and Clinical Terminology Expert

Seasoned digital health product manager, my expertise focused on medical informatics, data standardization, terminology management, and bioinformatics.

Currently, I lead and manage the master data and interoperability standard at one of the hospital chain groups in Indonesia.

I believe that managing a product requires both soft and hard skills. Throughout my previous experiences, I gained hands-on work in people and stakeholder management, research, data governance, IT technical development and implementation, and operations (including go-to-market strategies and customer support).

I blend this abundant experience with my clinical experience as a General Practitioner, tutor, and scientific researcher, to bring perfection and a helicopter view of the product development lifecycle from conception to the post-production phase, in high-level, user, and technical perspectives.

FHIR & Clinical Terminology 99%
Project Management 97%
Data Governance & Interoperability 95%
Python 95%
Robotic Process Automation (RPA)90%
Database Engineering, ETL, Analysis87%
PyTorch / Keras (DL Framework) 88%
PHP framework (Laravel), API, HTML, CSS, Bootstrap90%
Java Script, JQuery & front-end development (Node.js, React.js)75%

Experience

My Skills

Deep Learning (AI)

Computer Aided Detection, Medical Image Processing, and Data Cleaning.

Data Collection & Automation

Data science related automation, Data ETL, warehousing, especially in health data and bioinformatics.

IT Project Management

SDLC, System Design, Quality Control, and Compliance.

Product Management

Health product related management and workflow.

Business Strategy

Able to work under pressure and give multiple solution to problems faced in business based on behavioral, critical, and abstraction thinking.

Robotic Process Automation (RPA)

Automatize and improve monotonous work with high precision using image/color detection, HTML tag, and API requests.

Works

My Portfolio.

Check My Github for more detail

3D CNN Lung Nodule Detection
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Lung Nodule Detection and Classification from Thorax CT-Scan Using RetinaNet with Transfer Learning

Available on Github

I3DR-Net able to produce remarkable results on lung nodule texture detection task with mAP 49.61% and 22.86%, and area under curve (AUC) 81.84% and 70.36% for public and private dataset. Additionally, I3DR-Net successfully outperform previous state-of-the-art Retina U-Net and U-FRCNN + mean average precision (mAP) by 7.9% and 7.2% (57.71% VS 49.8% VS 50.5%) for malignant nodule detection and classification task.

First Author:
Ivan William Harsono


Collaborator:
Tjeng Wawan Cenggoro


Content Advisor:
Suryadiputra Liawatimena


SATUSEHAT Integration Library
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SATUSEHAT Integration Library and Tutorial

Available on Github and Packagist

This unofficial SATUSEHAT FHIR PHP Library to help generate FHIR resources JSON and sent it via SATUSEHAT API.
Currently support the minimum integration required by MoH, encompassing Organization, Location, Encounter, Condition, Patient, and Practitioner resources.

Author and Initiator:
Ivan William Harsono

Landing Page Development
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Web and Mini Application Development

Responsive Web Application and Mini Apps

Developing reactive landing pages for education tutoring services, private blog using Bootstrap Framework, HTML, CSS, JavaScript.
Deployment of Python mini apps through Streamlit.

Project Leader:
Ivan William Harsono

Data Collection Automation
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Data Collection Automation

Automated stocks price live data collection CLI programs from Yahoo! Finance (non-API)

Automated stocks price live data collection CLI programs from Yahoo! Finance website using Python, BeautifulSoup4, JSON

Project Leader:
Ivan William Harsono

Portfolio Image
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Simple Local COVID-19 Information System

Available on Github

Simple mini-Python apps for "Simple Local COVID-19 Surveillance Information System in Primary Health Care" made during my medical doctor internsip practice at Public Health Care (Puskesmas) located in Tangerang City. Tangerang City Health System use online integrated medical record based on ePuskesmas and ePuskesmas Kota Tangerang

However, since COVID-19 outbreak, to ease surveillance process of people with respiratory symptoms, it is integrate specific apps in addition of standard technology provided to us by public health office (Dinas Kesehatan). This is some of apps, used in conjunction with Google Forms, Awesome Table, Google sheet, Google My Map, and ePuskesmas database.

Project Leader:
Ivan William Harsono

Automatic Data Conversion
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Automatic Data Conversion

Local CLI data science program for stocks company.

1. Developing local CLI programs for batch conversion and splitting centralized stocks transaction database (Excel file) based by customer and date in separate PDF files for a fintech company.

2. Developing local CLI programs for data cleaning, sorting, and batch data splitter for winner selection for a fintech company using Python, Pandas, HTML.

Project Leader:
Ivan William Harsono

Contacts

For business oppurtunities, recruitment, and collaboration.

Location
Gading Serpong Tangerang
Email
ivanwilliam.md@gmail.com
Portfolio Link
SATUSEHAT Library
SATUSEHAT Digital Tutorial
URLqr link shortener
IvanMD - Medical Record
SNOMED-CT ECL Downloader
Healthcare Facility Search
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