프로세스 마이닝을 통한 공공부문 행정혁신: 정책, 교육, 의료 및 금융 사례를 중심으로
Process Mining for Public Sector Advancement: Investigating Policy, Education, Healthcare, and Financial Application Cases
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21세기는 IT 기술의 발전으로 인해 급변하고 있으며, 이는 제조, 의료, 마케팅 및 영업, 물류 등 다양한 산업 분야에 큰 변화를 가져오고 있다. 공공부문에서도 IT 기술 적용의 중요성을 인지하고 있지만, IT 기술을 활용하려는 시도는 타 산업 분야에 비해 부족하다. 공공 분야의 주된 업무는 규정된 업무 프로세스를 관리하고 프로세스 준수 여부를 파악하는 것이다. 최근, 프로세스 데이터를 활용해 프로세스 모델과 인사이트를 추출하여 결정권자들의 의사결정을 지원하는 프로세스 마이닝이 각광받고 있다. 프로세스 마이닝이란 프로세스 데이터를 분석하여 효율성을 향상시키거나, 프로세스를 개선하는 학문 분야이다. 본 연구는 프로세스 마이닝에 대한 기본적인 개념, 적용 방법론, 국내외 공공부문 프로세스 마이닝 적용 사례를 소개한다. 이를 통해, 공공부문 프로세스 마이닝의 적용 당위성을 확보하고, 프로세스 마이닝이 국내 적용이 활발해져, 궁극적으로는 공공 프로세스의 비효율을 개선하고 국가 효율성 및 경쟁력이 제고될 것이다.
Abstract
Rapid advancements in IT technology have led to significant transformations across diverse industries, such as manufacturing, healthcare, marketing and sales, and logistics. Despite recognizing its importance, the public sector has been relatively slow to embrace IT technology. The main task in the public sector is to manage and monitor compliance with designed business processes. Recently, there has been growing interest in the use of process mining to extract process-related knowledge and pinpoint issues that may exist in business processes. Process mining is a discipline that involves analyzing process data and refining processes to improve efficiency. This study introduces the fundamental concepts of process mining and demonstrates its applications in the public sector, both domestically and internationally. By advocating for the adoption of process mining, this work aims to establish its importance in the public sector and catalyze its widespread usage. Ultimately, the goal of this research is to boost public process efficiency, thereby enhancing national productivity and competitiveness.
참고문헌 (58)
- 김태영, "프로세스 마이닝을 활용한 온라인 교육 오픈 플랫폼 내 학습 패턴 분석 방법 개발", 지능정보연구, 29(2), pp.285~301 (2023)
- 박승범, "데이터 마이닝(프로세스마이닝)을 활용한 정부 업무 프로세스 개선", 한국EA학회 학술발표논문집, 2018(12), pp.423~439 (2018)
- 신동주, "맞춤형 부동산 정책 수립 지원을 위한 데이터 분석기반 의사결정지원 시스템", 한국빅데이터서비스학회 논문지, 2(2), pp.1~6 (2015)
- 신미영, "공공 빅데이터를 활용한 안 질환에 영향을 미치는 기상 요인 분석", 한국데이터정보과학회지, 31(3), pp.535~544 (2020)
- 오철호, "문제제기 : 데이터 기반 정책분석평가의 연구와 적용", 政策分析評價學會報, 27(2), pp.155~167 (2017)
- 뉴스와이어, "퍼즐데이터, 4년 연속 가트너 프로세스 마이닝 마켓 가이드 대표 기업 등재", ~ (2021)
- 뉴스와이어, "퍼즐데이터 병원 장시간 진료 대기⋅복잡한 동선, 프로세스 마이닝으로 개선", ~ (2022)
- 넥스트데일리, "프로세스 마이닝 창시자 알스트 교수, 서울서 21일 강연", ~ (2022)
- 팍스경제TV, "신한은행, 프로세스 마이닝 솔루션 도입…업무 처리 속도업", ~ (2020)
- "SUCCESS STORY 금융권 사례" (2024)[URL]
- Anuwatvisit, Siriporn, "Bottleneck mining and petri net simulation in education situations", 10th International Conference on ICT and Knowledge Engineering, pp.244~251 (2012)
- Arpasat, Poohridate, "Applying process mining to analyze the behavior of learners in online courses", International Journal of Information and Education Technology, 11(10), pp.436~443 (2021)
- Augusto, Adriano, "Split miner: automated discovery of accurate and simple business process models from event logs", Knowledge and Information Systems, 59, pp.251~284 (2019)
- Bergenthum, Robin, "Process mining based on regions of languages", 5th International Conference on Business Process Management, pp.375~383 (2007)
- Bogarín, Alejandro, "A survey on educational process mining", Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 8(1), pp.e1230~ (2018)
- Carmona, Josep, "A region-based algorithm for discovering petri nets from event logs", 6th International Conference on Business Process Management, pp.358~373 (2008)
- Carmona, Josep, "Conformance checking: part1 basics of conformance checking" (2018), Springer
- Carmona, Josep, "Conformance checking: foundations, milestones and challenges" (2022), Springer
- Cerezo, Rebeca, "Process mining for self-regulated learning assessment in e-learning", Journal of Computing in Higher Education, 32(1), pp.74~88 (2020)
- Cho, Minsu, "A systematic methodology for outpatient process analysis based on process mining", 2nd International Conference on Asia-Pacific Business Process Management, pp.31~42 (2014)
- Dakic, Dusanka, "Business process mining application: a literature review", 29th International Conference on Intelligent Manufacturing Automation, pp.866~875 (2018)
- Fioretto, Simona, "Process mining solutions for public administration", 27th International Conference on Advances in Databases and Information Systems, pp.668~675 (2023)
- Friedrich, Fabian, "Process model generation from natural language text", 23rd International Conference on Advanced Information Systems Engineering, pp.20~24 (2011)
- Hand, David J., "Principles of data mining: introduction" (2001), MIT press
- Kanetaki, Zoe, "Data mining for improving online higher education amidst COVID-19 pandemic: a case study in the assessment of engineering students", 1st International Conference on Novelties in Intelligent Digital Systems, pp.157~165 (2021)
- Leemans, Sander J. J., "Discovering block-structured process models from event logs containing infrequent behaviour", 11th International Conference on Business Process Management, pp.66~78 (2013)
- Leemans, Sander J. J., "Scalable process discovery with guarantees", 16th International Conference on Enterprise, Business-Process and Information Systems Modeling, pp.85~101 (2015)
- Li, Jiexun, "A policy-based process mining framework: mining business policy texts for discovering process models", Information Systems and E-Business Management, 8, pp.169~188 (2010)
- Mitchell, Tom M, "Machine learning: introduction" (1997), Mcgraw-hill
- Munoz-Gama, Jorge, "Process mining for healthcare: characteristics and challenges", Journal of Biomedical Informatics, 127, pp.103994~ (2022)
- Sarno, Riyanarto, "Hybrid association rule learning and process mining for fraud detection", International Journal of Computer Science, 42(2), pp.59~72 (2015)
- Solé, Marc, "Process mining from a basis of state regions", 31st International Conference Applications and Theory of Petri Nets, pp.226~245 (2010)
- Southavilay, Vilaythong, "Process mining to support students’ collaborative writing", 3rd International Conference on Education Data Mining, pp.257~266 (2010)
- Vial, Gregory, "Understanding digital transformation : A review and a research agenda", The Journal of Strategic Information Systems, 28(2), pp.118~144 (2019)
- van der Aalst, Wil, "Workflow mining: Discovering process models from event logs", IEEE Transactions on Knowledge and Data Engineering, 16(9), pp.1128~1142 (2004)
- van der Aalst, Wil, "Process mining: overview and opportunities", ACM Transactions on Management Information Systems, 3(2), pp.1~17 (2012)
- van der Aalst, Wil, "Data scientist: The engineer of the future", 7th International Conference on Interoperability for Enterprises Systems and Applications, pp.13~26 (2014)
- van der Aalst, Wil, "Process mining: data science in action" (2016), Springer
- van der Aalst, Wil, "Process mining handbook: a 360 degree overview" (2022), Springer
- van Eck, Maikel L., "PM: a process mining project methodology", 27th International Conference on Advanced Information Systems Engineering, pp.297~313 (2015)
- van Zelst, Sebastiaan J., "Discovering workflow nets using integer linear programming", Computing, 100(2018), pp.529~556 (2018)
- Wagner, Miriam, "A combined approach of process mining and rule-based AI for study planning and monitoring in higher education", 4th International Conference on Process Mining, pp.513~525 (2022)
- Yoo, Sooyoung, "Assessment of hospital processes using a process mining technique: outpatient process analysis at a tertiary hospital", International Journal of Medical Informatics, 88(2016), pp.34~43 (2016)
- Zaoui, Fadwa, "Roadmap for digital transformation: a literature review", Procedia Computer Science, 175(2020), pp.621~628 (2020)
- "50 years of data science" (2015)[URL]
- "Process miner of the year 2018!" (2018)[URL]
- "Case study: process mining obstetrical care claims data" (2021)[URL]
- "Process mining in government" (2022)[URL]
- "A very short history of data science" (2013)[URL]
- "Process mining in the health care domain: case study isala hospital" (2014)[URL]
- "Cancer d iagnost ic d elay reduction" (2018)[URL]
- "VTB (Ramax)- Rethinking banking in the 21st century" (2018)[URL]
- "Postfinance - Redefining the reality of banking p rocesses" (2018)[URL]
- "Understanding acute coronary syndrome discharges in a hospital setting" (2020)[URL]
- "Process mining obstretical care claims data" (2021)[URL]
- "The state of AI in 2020" (2020)[URL]
- "State-of-the-art-process mining in Python" (2024)[URL]
- "ProM process mining workbench" (2024)[URL]
