Journal of Korean Society for Quality Management (품질경영학회지)

Korean Society for Quality Management (한국품질경영학회)
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Does Artificial Intelligence (AI)-based Applications Improve Operational Efficiency in Healthcare Organizations?: Opportunities and Challenges

인공지능(AI) 기반 애플리케이션 도입이 의료기관의 운영효율성을 향상시킬까?: 기회와 도전

  • Lee DonHee (College of Business Administration, Inha University)
  • Received : 2024.07.18
  • Accepted : 2024.08.05
  • Published : 2024.09.30
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Abstract

Purpose: This study investigates whether adoption of AI-based systems and technologies improve operational efficiency in healthcare organizations through a systematic review of the literature and real-world examples. Methods: In this study, we divided the AI application cases into care services and administrative functions, then we explored opportunities and challenges in each area. Results: The analysis results indicate that the care service field primarily uses AI-based systems and technologies for quick disease diagnosis and treatment, surgery and disease prediction, and the provision of personalized healthcare services. In the administrative field, AI-based systems and technologies are used to streamline processes and automate tasks for the following functions: patient monitoring through virtual care support systems; automating patient management systems for appointment times, reservations, changes, and no-shows; facilitating patient-medical staff interaction and feedback through interaction support systems; and managing admission and discharge procedures. Conclusion: The results of this study provide valuable insights and significant implications about the application of AI-based systems or technologies for various innovation opportunities in healthcare organizations. As digital transformation accelerates across all industries, these findings provide valuable information to managers of hospitals that are interested in AI adoption, as well as for policymakers involved in the formulation of medical regulations and laws.

Keywords

Acknowledgement

본 연구는 2024년도 인하대학교 학술연구비 지원으로 수행되었음(73094-1)

References

  1. Adhikari A., Joshi R., & Basu S. 2023. Collaboration and coordination strategies for a multi-level AI-enbled healthcare supply chain under disaster. International Journal of Production Research 1-27. Published Online: https://doi.org/10.1080/00207543.2023.2252933. 
  2. Apollo Hospitals. 2023. Apollomedics Super Specialty Hospital, Lucknow Has Launched The World'S Most Advanced AI Powered Robot for Robotic Knee Replacement Surgery. Available from: https://www.apollohospitals.com. 
  3. Ashique S., Mishra N., Mohanto S., Garg A., Taghizadeh-Hesary F., Gowda B., & Chellappan D. 2024. Application of artificial intelligence (AI) to control covid-19 pandemic: current status and future prospects. Heliyon 10(4): E25754. 
  4. Atlantic General Hospital. 2022. Atlantic General Hospital Offers Mako Robotic Arm-Assisted Joint Replacement Surgeries. Available from: https://www.atlanticgeneral.org. 
  5. Bahrami M., & Forouzanfar M. 2022. Sleep apnea detection from single-lead ecg: a comprehensive analysis of machine learning and deep learning algorithms. Iieee Transactions on Instrumentation and Measurement 71:1-11. 
  6. Berlin G., Bilazarian A., Chang J., & Hammer S. 2023. Reimagining the Nursing Workload: Finding Time to Close The Workforce Gap. Mckinsey & Company. 
  7. Buendia O., Benfredj R., Halford T., Rustiglioni I., Fish P., Evans W., Apse R., Aussel N., Toal C., & Garzon V. 2021. Case Report: Reducing The Diagnostic Odyssey In Behcet'S Disease Using A Digital Health Approach Into Primary Care UK. Available from: www.mendelian.co/pdf/poster-reducing-the-diagnostic-odyssey.pdf. 
  8. Buendia O., Shankar S., Mahon H., Toal C., Menzies L., Ravichandran P., Roper J., Takhar J., Benfredj R., & Evans W. 2022. Is it possible to implement a rare disease case-finding tool in primary care? a uk-based pilot study. Orphanet Journal of Rare Diseases 17(1):54. 
  9. Butcher CJ., & Hussain W. 2022. Digital healthcare: the Future. Future Healthcare Journal 9(2):113-117. 
  10. Chin H., Marasini D., & Lee D. 2022. Digital transformation trends in service industries. Service Business 17(1):11-36. 
  11. Cleveland Clinic. 2024. How AI Assists With Staffing, Scheduling and Once-Tedious Tasks. Available from: https://consultqd.clevelandclinic.org. 
  12. Daley S. 2022. AI in Healthcare: Uses, Examples and Benefits. Built In. Available from: https://builtin.com 
  13. Davenport TH. 2018. The AI Advantage: How to Put the Artificial Intelligence Revolution to Work. MIT Press: Cambridge, MA, USA. 
  14. Diaz N. 2023. How AI Can Have a Tangible Impact on Healthcare. Becker's Health IT. Available from:https://www.beckershospitalreview.com. 
  15. Diaz N. 2024. How MUSC is using AI in its Emergency Departments. Becker's Healthcare. Available from: https://www.beckershospitalreview.com. 
  16. Diaz-Rodriguez N., Del Ser J., Coeckelbergh M., De Prado ML., Herrera-Viedma E., & Herrera F. 2023. Connecting The dots in trustworthy artificial intelligence: from ai principles, ethics, and key requirements to responsible AI systems and regulation. Information Fusion 99:101896. 
  17. Dubois KN. 2019. Deep medicine: how artificial intelligence can make healthcare human again. Perspectives on Science And Christian Faith 71(3):199-201. 
  18. Emory News Center. 2023. Abridge Becomes Epic'S First Pal, Bringing Generative AI to More Providers And Patients, Including Those At Emory Healthcare. Available from: https://news.emory.edu/. 
  19. Fred Hutchinson Cancer Center. Available from: https://www.fredhutch.org/en.html 
  20. Furst J. 2021. AI Algorithm Can Predict Long-Term Patient Survival after Cardiac Surgery. Mayo Clinic Study Finds, Mayo Clinic. 
  21. Hansen A. 2018. Artificial Intelligence in Medicine Predicting Patient Outcomes and Beyond. Stanford Medicine: Available from:https://scopeblog.stanford.edu/. 
  22. Harris E. 2023. Misdiagnosis might harm up to 800000 US patients annually. Jama-Journal of The American Medical Association 330(7):586. 
  23. Healthitanalytics. 2023. Cleveland Clinic to Improve Hospital Operations Through AI Command Center. Available from: https://www.medicalbuyer.co.in/. 
  24. Johns Hopkins University. 2021. AI Speeds Sepsis Detection to Prevent Hundreds of Deaths. Available from: https://www.sciencedaily.com/releases/2022/07/220721132009.htm. 
  25. Jones E., Kalantery N., & Glover B. 2019. Research 4.0 Interim Report. Demos. 
  26. Joseph J., Senith S., Kirubaraj A., & Ramson J. 2022. Machine learning for prediction of wait times in outpatient clinic. Procedia Computer Science 215:230-239. 
  27. Kaur S., Singla J., Nkenyereye L., Jha S., Prashar D., Joshi GP., El-Sappagh S., Islam MS., & Islam SR. 2020. Medical diagnostic systems using artificial intelligence (ai) algorithms: principles and perspectives. Ieee Access 8:228049-228069. 
  28. Kim, Il Jung, Kim, Woo Soon, Kim, Joon Young, Chae, Hee Su, Woo, Ji Yeong, Do, Kyung Min, Lim, Sung Hoon, Shin Min, Soo, Lee, Ji Eun, & Kim, Heung Nam. 2022. Discovering essential AI-based manufacturing policy issues for competitive reinforcement of small and medium manufacturing enterprises. Journal of Korean Society for Quality Management 50(4):647-664. 
  29. Kim, Ye-eun, Song, Ho Jun, & Shin, Wan Seon. 2024. Analysis of machine learning research patterns from a quality management perspective. Journal of Korean Society for Quality Management 52(1):77-93. 
  30. Kumar P., Sharma S., Dutot V. 2023. Artificial intelligence (AI)-enabled crm capability in healthcare: the impact on service innovation. International Journal of Information Management 69:02598. 
  31. Lammermann L., Hofmann P., & Urbach N. 2024. Managing artificial intelligence applications in healthcare: promoting information processing among stakeholders. International Journal of Information Management 75:02728 
  32. Landi H. 2023. Himss23: Epic Taps Microsoft to Integrate Generative AI Into Ehrs With Stanford, UC San Diego As Early Adopters. Health Tech. Available from: https://www.fiercehealthcare.com/health-tech. 
  33. Lee D., & Yoon S. 2021. Application of artificial intelligence-based technologies in the healthcare industry: opportunities and challenges. International Journal of Environmental Research and Public Health 18:271. 
  34. Lee S., & Lee D. 2021. Opportunities and challenges for contactless healthcare services in the post-covid-19 era. Technological Forecasting and Social Change 167:120712. 
  35. Mayo Clinic. 2024. AI in Healthcare: The Future of Patient Care and Health Management. Mayo Clinic Press. 
  36. Medical Newspaper. 2020. BUNO, Seoul Asan Medical Center and AI Dementia Prediction Study Published in AJNR. Available from: http://www.bosa.co.kr/news. 
  37. Medical Times. 2024. Samsung Medical Center evolves its AI Environment...Introducing Automated Machine Learning. Available from: https://www.medicaltimes.com. 
  38. Medtronic. 2023. First Commercial North American Procedure Using Medtronic Hugotm Robotic-Assisted Surgery (Ras) System at Toronto General Hospital. Available from:https://canadanews.medtronic.com.
  39. Mendelian. Available from:www.mendelian.co/solution. 
  40. Munavalli JR., Boersma HJ., Rao SV., & Van Merode G. 2021. Real-Time Capacity Management and Patient Flow Optimization in Hospitals Using AI Methods. In Book: Artificial Intelligence and Data Mining in Healthcare 55-69. 
  41. Murphy KP. 2012. Machine Learning: A Probabilistic Perspective. MIT Press. 
  42. Ng R., & Tan KB. 2021. Implementing an individual-centric discharge process across Singapore public hospitals. International Journal of Environmental Research And Public Health 18(16):8700. 
  43. Ogugua D., Yoon S., & Lee D. 2024. Academic integrity in a digital era: should the use of chatgpt be banned in schools? Global Business & Finance Review 28(7):1-10. 
  44. Raza MA., Aziz S., Noreen M., Saeed A., Anjum I., Ahmed M., & Raza SM. 2022. Artificial intelligence (AI) in pharmacy: An overview of innovations. Innovations in Pharmacy 13(2):1-8. 
  45. Rodziewicz TL., Houseman B., Vaqar S., & Hipskind JE. 2024. Medical Error Reduction and Prevention. In: Statpearls [Internet]. Treasure Island (Fl): Statpearls Publishing. Pmid:29763131. 
  46. Roth E. 2023. The Future of Healthcare Administration: AI and Automation. Available from: https://www.productiveedge.com/blog/the-future-of-healthcare-administration-ai-and-automation.
  47. Samadhiya A., Yadav S., Kumar A., Majumdar A., Luthra S., Garza-Reyes JA., & Upadhyay A. 2023. The influence of artificial intelligence techniques on disruption management: does supply chain dynamism matter? Technology in Society 75:102394. 
  48. Samorani M., & Blountl G. 2020. Machine learning and medical appointment scheduling: creating and perpetuating inequalities in access to health care. American Journal of Public Health 110:440-441. 
  49. Seoul Asan Medical Center. 2020. Assigning beds with 50 complex puzzles... now with AI. Available from: https://amc.seoul.kr. 
  50. Severance Hospital. 2021. Severance Hospital develops AI analytics solution specializing in cancer based on digital pathology. Available from: https://yi.severance.healthcare/sev/news. 
  51. Shakeel T., Habib S., Boulila W., Koubaa A., Javed AR., Rizwan M., Gadekallu T., & Sufiyan M. 2023. A survey on covid-19 impact in the healthcare domain: worldwide market implementation, applications, security and privacy issues, challenges and future prospects. Complex & Intelligent Systems 9(1):1027-1058. 
  52. Siwicki B. 2024. Johns Hopkins has Big Plans for AI in Epic Chart Summarization. IT News. Available from: https://www.itscnews.com/news/johns-hopkins-has-big-plans-for-ai-in-epic-chart-summarization/. 
  53. Spring M., Faulconbridge J., & Sarwar A. 2022. How information technology automates and augments processes: insights from artificial-intelligence-based systems in professional service operations. Journal of Operations Management 68:592-618. 
  54. Sun W., Bocchini P., & Davison BD. 2020. Applications of artificial intelligence for disaster management. Natural Hazards 103:2631-2689. 
  55. The Lancet Global Health. 2023. Health-care workers must be trained and retained. Lancet Glob Health 11:E629. 
  56. U.S. Food And Drug Administration. 2023. Artificial Intelligence and Machine Learning (AI/Ml)-Enabled Medical Devices, US Food and Drug Administration 2023. 
  57. Varnosfaderani S., & Forouzanfar M. 2024. The role of AI in hospitals and clinics: transforming healthcare in the 21st century. Bioengineering 11:337. 
  58. Wang F. 2006. On future computers and computer technology. Journal of Practical Medical Technology 13(11):1981-1982. 
  59. Wicklund E. 2023. Intermountain Health Adds AI, Interoperability To Cds Platform. Healthleaders Media. Available from: https://www.healthleadersmedia.com/technology/intermountain-health-adds-ai-interoperability-cds-platform 
  60. Winner J. 2023. How AI Will Revolutionize The Healthcare Industry. Fastcompny. Available from: https://www.fastcompany.com/90908129/how-ai-will-revolutionize-the-healthcare-industry 
  61. Yoon S., & Lee D. 2019. Artificial intelligence and robots in healthcare: what are the success factors for technology-based service encounters? International Journal of Healthcare Management 12(3):218-225. 
  62. Young Doctors. 2023. Digital Transformation: How My Hospital is doing it Better than Everyone Else.. Available from: http://www.docdocdoc.co.kr 
  63. Zamzam AH., Hasikin K., & Wahab AKA. 2023. Integrated failure analysis using machine learning predictive system for smart management of medical equipment maintenance. Engineering Applications of Artificial Intelligence 125:106715.