R&D Projects
This is what grew out of "Personalized DUR in My Hand" in 2017: apps, digital cards, hospital CDSS, MyData, and LLMs. On featured projects, "Details" opens the introduction video, the attachment form and a demo of the real screens, and the press marks show related articles. The three steps follow in order: check it, show it, and take it with confidence.
Featured projects
Drug Allergy Alert app
A personalized app for preventing drug allergy. A mobile drug safety card, an action plan written in plain words, drug search, and prescription QR scanning. Google Play rating 5.0 from 87 reviews, more than 500 downloads. Grand Prize in the health and medicine category, 2018 Smart App Award Korea.
Digital Drug Safety Card and Allergy Passport GPT
A one-page summary of a patient's drug side effects, opened with a single QR code at any hospital or pharmacy. Cards are issued at 6 institutions, and the information sharing platform (myadr.care) has 709 people registered across 9 university hospitals (as of 2024.12). We also load the same information into a GPT, so patients can ask it questions as if they carried ‘my allergy passport’. 2024 Society President's Award, Korean Society for Patient Safety.
Drug Allergy Health Information Exchange
With Prof. Hye-Ryun Kang's team at Seoul National University Hospital, this pilot let a drug allergy record confirmed at one hospital travel to another over the Health Information Exchange system. I set the standard for drug allergy information sharing (standard form and value domains) and upgraded the HL7 FHIR AllergyIntolerance profile. 2023 Excellence Award, Health Information Exchange best-practice contest.
MyData Safe Medication CDSS and the Yagirang app
A patient downloads their own diagnosis, medication, lab and checkup records from the ‘My Health Record’ app and uploads them to the SMART DUR CDSS at myadr.care. The system screens polypharmacy risk against drug interactions, potentially inappropriate medications for older adults, anticholinergic burden and the STOPP criteria, then writes a medication guide for that patient. If there is a history of side effects, it adds an allergy report. A clinician reviews it and sends it to the patient app Yagirang. Field tested at 3 institutions.
Drug&Safety
“A precision medicine platform built on each patient's own experience with medicines.” I designed the My ADR platform as an extension of the Drug Allergy Alert app, and took it through the CBNU lab startup program, KAIST Open Venture Lab and the Pre-Startup Package.
All funded projects Projects funded by government and institutions
| Period | Project | Role |
|---|---|---|
| 2023.2 - 2025.12 | Development and validation of a MyData-based safe medication CDSSA three-year project that built and field-tested a clinical decision support system (CDSS) letting patients carry their own adverse drug reaction records as MyData and take their medicines safely. The scope grew to include MyHealthWay linkage and LLM-generated medication counseling text for each patient. | Principal Investigator |
| 2022.4 - 2024.12 | Building a patient-centered system for active prevention of adverse drug reactionsA project that moved past the limits of the paper drug safety card and built an active prevention system in which patients hold their own adverse drug reaction history digitally and can show it at any hospital or pharmacy. It expanded to 9 hospitals, including 4 Regional Pharmacovigilance Centers and 5 sites from the Korean Society of Health-System Pharmacists, and also produced standard data elements for information sharing and proposed amendments to the law. | Principal Investigator |
| 2022.7 - 2023.2 | Development of a MyData safe medication system based on personalized drug reaction informationA startup growth R&D project that developed a system managing each person's drug reaction information as MyData to support safe medication use. | Principal Investigator |
| 2021.5 - 2021.12 | Development of an AI medication guidance and VR medication counseling platform based on patients' own side effect dataAn IP-R&D project that set the technology and patent strategy for AI medication guidance and a VR medication counseling platform built on patients' own side effect data. | Principal Investigator |
| 2020.9 - 2021.5 | Planning study for developing and validating a primary care based smart healthcare service model for chronic respiratory allergic diseaseA planning study that designed a smart healthcare service model for managing chronic respiratory allergic diseases such as asthma and allergic rhinitis in local clinics, and laid out the plan for field validation. | Principal Investigator |
| 2020.6 - 2022.2 | Development of a MyData-based, patient-centered system for preventing adverse drug reactionsA basic research project on a prevention system that runs algorithms over the personal health data patients hold, predicts dangerous drug reactions and blocks them in advance. | Principal Investigator |
| 2020.5 - 2020.10 | Building a Common Data Model from hospital electronic medical recordsA project that converted hospital electronic medical records into a Common Data Model (CDM) so they could be used for pharmacovigilance research. | Principal Investigator |
| 2019.5 - 2019.11 | Common Data Model based assessment of oseltamivir adverse reactionsA project that used hospital electronic medical records standardized to a Common Data Model to assess adverse reactions after oseltamivir treatment. | Principal Investigator |
| 2017.4 - 2018.12 | Personalized DUR in My Hand: a smartphone-based, patient-centered drug allergy prevention systemA project that developed a patient-centered DUR system letting patients look up their own drug allergy information on a smartphone and avoid risky medicines. It later led to the Drug Allergy Alert app and a patent on ingredient-level risk assessment. | Principal Investigator |
| 2016.5 - 2016.12 | Metabolomic study of steroid resistance mechanisms in severe asthmaA young investigator project that used metabolomic analysis to explore why patients with severe asthma fail to respond to steroids. | Principal Investigator |
18 projects as Co-Principal Investigator or Co-investigator
| 2025 - Ongoing | Building a multicenter research infrastructure for rare and intractable severe pediatric diseaseCo-Principal Investigator on a top-down project building the multicenter research base for studies of rare and intractable severe disease in children. | Co-Principal Investigator |
| 2025 - Ongoing | Developing a training curriculum for electronic medical record system certificationCo-investigator on a program developing the training curriculum for the electronic medical record system certification scheme. | Co-investigator |
| 2025 - Ongoing | Retrospective comparison of biologics for severe asthmaCo-investigator on a multicenter study comparing real-world outcomes of the biologics used in severe asthma. | Co-investigator |
| 2023 - 2024 | Drug allergy information sharing programCo-Principal Investigator on a program that lets medical institutions exchange drug allergy information in a standard format. | Co-Principal Investigator |
| 2021.4 - 2025.12 | Medical Data-Driven Hospital research programLed Chungbuk National University Hospital as a participating institution in the Medical Data-Driven Hospital program under the Seoul National University Hospital consortium, responsible for standardizing hospital data and putting it to research use. | Co-Principal Investigator |
| 2021.4 - 2023.12 | Building an AI technology support platform for the wellcare industryCo-Principal Investigator on a consortium project building an artificial intelligence technology support platform for companies in the wellcare industry. | Co-Principal Investigator |
| 2020.8 - 2020.11 | Medical Data-Driven Hospital research program (preliminary phase)Faculty lead for Chungbuk National University Hospital in the four-month preliminary phase that preceded the main Medical Data-Driven Hospital program, defining the scope of the data build and the models for its use. | Co-Principal Investigator |
| 2020 | Survey of drugs causing severe adverse reactions and study of genetic risk factorsCo-investigator on a commissioned study that surveyed the drugs causing severe adverse drug reactions and analyzed the related genetic risk factors. | Co-investigator |
| 2017 | Building a national model for linking electronic medical records across institutionsCo-investigator on a program that designed the national model for linking electronic medical records between medical institutions, serving as site lead for Chungbuk National University Hospital. | Co-investigator |
| 2017 | KAERS linkage methods and analysis algorithms based on a hospital EMR Common Data ModelA commissioned study that developed methods for linking a hospital EMR Common Data Model to the Korea Adverse Event Reporting System (KAERS), together with the analysis algorithms. | Co-investigator |
| 2016 - 2018 | Development and application of an urban safety assessment model using sustainable urban metabolismCo-investigator on a multidisciplinary project that developed and applied a model for assessing urban safety using the concept of urban metabolism. | Co-investigator |
| 2016 - 2017 | Study of the burden of adverse drug reactions in the emergency department (2016-2017)A multicenter study of what share of emergency department visits involve adverse drug reactions. It led to the PLOS ONE 2022 multicenter observational study (first author) and later work. | Co-investigator |
| 2016 - 2017 | Prospective study of HLA-B*58:01 testing before allopurinol to prevent severe cutaneous adverse reactions in patients with chronic kidney diseaseA prospective study of whether HLA-B*58:01 genotyping before starting allopurinol prevents severe cutaneous adverse reactions in patients with chronic kidney disease. | Co-investigator |
| 2016 | Building a system to collect clinical data and biospecimens from patients with severe asthma, with integrated analysisA multicenter project that built a standardized system for collecting clinical data and biospecimens from patients with severe asthma and analyzed them together. | Co-investigator |
| 2016 | Developing a standard EMR model for hospital adverse drug reaction casesA program that developed an EMR form model to standardize adverse drug reaction records, which differ from hospital to hospital. | Co-investigator |
| 2015 | Study of the burden of adverse drug reactions in the emergency department (2015)The first year of a study measuring the burden of adverse drug reactions among patients who come to the emergency department. | Co-investigator |
| 2015 | Study of the burden of adverse drug reactions in hospital EMR dataA study that used hospital electronic medical record data to estimate the burden of adverse drug reactions. | Co-investigator |
| 2014.1 - 2015.3 | A smartphone based early warning system for food allergy in school mealsA project that designed and built a smartphone early warning system linking students, guardians and school nutrition teachers to prevent food allergy incidents in school meals. I handled the study design and planning, the reports and the implementation. | Co-Principal Investigator |
Tools I built No funding behind them; I needed them for clinic and research
Adaptive pre-visit intake system for first visitsOngoing2026 - Ongoing · A pre-visit intake system whose questions branch dynamically from the patient's chief complaint. It first builds interview blueprints validated for each physician and each chief complaint, then uses them to generate questions aimed at the differential diagnosis.
Patient report generator for allergy test results (MAST/SPT/UniCAP → HL7 FHIR)Ongoing2026 - Ongoing · A web platform that reads MAST, SPT and UniCAP result sheets by OCR, runs an adaptive interview that separates sensitization from true allergy, then produces a personalized patient report and HL7 FHIR R4 resources at the same time. Clinical logic for oral allergy syndrome and house dust mite to crustacean cross-reactivity is built in, and coding draws first on the 155 SNOMED mappings already in the hospital OMOP CDM. · Notion page · GitHub - APAAACI_mast_to_HL7FHIR
ETL from hospital source data to OMOP CDM, with standard documentationOngoing2026 - Ongoing · An ETL pipeline that converts hospital EMR and CDW source data into the OMOP Common Data Model, plus a documentation system that records the whole extract, transform and load process in a standard in-house format.
Pipeline for extracting clinical data from health checkup results and standardizing it to SNOMED CTOngoing2026 - Ongoing · A pipeline that pulls clinical data out of national health checkup result sheets and My Health Record (MyHealthWay) data and standardizes it to the SNOMED CT terminology. · Notion page
JSON/Excel converter for FHIR AllergyIntolerance resourcesIn service2025.9 - Ongoing · A web tool that converts HL7 FHIR AllergyIntolerance resources between JSON and Excel so drug allergy information is easier to work with. I designed it so that staff who never handle standard resources can still review and edit them. · Notion page · Web demo
Smart Schedule & Task - automatic calendar and task entry from Gmail (Gmail add-on · Chrome extension · n8n)Ongoing2025.8 - Ongoing · A productivity automation project that reads Gmail message bodies and attached images with an LLM and files them automatically as Google Calendar events and Google Tasks. While upgrading the Apps Script add-on to v3.0 I fixed an accidental auto-invite of attendees and a hardcoded time zone, and added Telegram and n8n paths so it also works from a phone. · Notion page · GitHub - smart_scheduler
n8n workflow that generates personalized medication counseling images for SMART DURIn service2025.8 - In service · An n8n workflow that fires when a new patient row lands in a Google Sheet: it builds a prompt for each combination of DUR alerts, generates the medication counseling image, then saves it and logs progress on its own. Batch splitting, retries and error handling keep the number of API calls under control. · Notion page
SMART+ER counseling chatbot for allergic rhinitisCompleted2025 · A counseling chatbot built in Flowise that answers questions from patients with allergic rhinitis about their home environment and symptoms, deployed inside the hospital. It grew out of data-utilization research in the Medical Data-Driven Hospital program, and the work was presented as a European Respiratory Journal 2024 abstract.