The Role of Robotics in Meeting Institutional Goals: A Unified Strategy to Facilitate Program Excellence
1
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
Purpose: The rapid expansion of robotic surgical equipment necessitates a review of the needs and challenges faced by hospitals introducing robots for the first time to compete with experienced institutions. The aim of this study was to analyze the impact of robotic surgery on our hospital compared to open and laparoscopic surgery, examine internal transformations, and assess regional, domestic, and international implications. Methods: A retrospective review was conducted of electronic medical records (EMRs) from 2019 to 2022 at Inha University Hospital, including patients who underwent common robotic procedures and equivalent open and laparoscopic operations. The study investigated clinical and operational performance changes in the hospital after the introduction of robotic technology. It also evaluated the operational effectiveness of robot implementation in local, national, and international contexts. To facilitate comparison with other hospitals, the data were transmitted to Intuitive Surgical, Inc. for analysis. The study was conducted in compliance with domestic personal information regulations and received approval from our Institutional Review Board. Results: We analyzed EMR data from 3,147 patients who underwent surgical treatment. Over a period of 3.5 years, the adoption of robotic technology in a hospital setting significantly enhanced the technical skills of all professors involved. The introduction of robotic systems led to increased patient utilization of conventional surgical techniques, as well as a rise in the number of patients choosing robotic surgery. This collective trend contributed to an overall increase in patient numbers. This favorable evaluation of the operational effectiveness of our hospital’s robot implementation in the context of local, national, and global factors is expected to positively influence policy changes. Conclusions: Stakeholders should embrace data science and evidence-based techniques to generate valuable insights from objective data, assess the health of robot-assisted surgery programs, and identify opportunities for improvement and excellence.
Abstract
Purpose: The rapid expansion of robotic surgical equipment necessitates a review of the needs and challenges faced by hospitals introducing robots for the first time to compete with experienced institutions. The aim of this study was to analyze the impact of robotic surgery on our hospital compared to open and laparoscopic surgery, examine internal transformations, and assess regional, domestic, and international implications. Methods: A retrospective review was conducted of electronic medical records (EMRs) from 2019 to 2022 at Inha University Hospital, including patients who underwent common robotic procedures and equivalent open and laparoscopic operations. The study investigated clinical and operational performance changes in the hospital after the introduction of robotic technology. It also evaluated the operational effectiveness of robot implementation in local, national, and international contexts. To facilitate comparison with other hospitals, the data were transmitted to Intuitive Surgical, Inc. for analysis. The study was conducted in compliance with domestic personal information regulations and received approval from our Institutional Review Board. Results: We analyzed EMR data from 3,147 patients who underwent surgical treatment. Over a period of 3.5 years, the adoption of robotic technology in a hospital setting significantly enhanced the technical skills of all professors involved. The introduction of robotic systems led to increased patient utilization of conventional surgical techniques, as well as a rise in the number of patients choosing robotic surgery. This collective trend contributed to an overall increase in patient numbers. This favorable evaluation of the operational effectiveness of our hospital’s robot implementation in the context of local, national, and global factors is expected to positively influence policy changes. Conclusions: Stakeholders should embrace data science and evidence-based techniques to generate valuable insights from objective data, assess the health of robot-assisted surgery programs, and identify opportunities for improvement and excellence.
참고문헌 (30)
- Tonutti M, "The role of technology in minimally invasive surgery : state of the art, recent developments and future directions", Postgrad Med J, 93, pp.159~167 (2017)
- Morris B, "Robotic surgery : applications, limitations, and impact on surgical education", MedGenMed, 7, pp.72~ (2005)
- Wee IJY, "A systematic review of the true benefit of robotic surgery : ergonomics", Int J Med Robot, 16, pp.e2113~ (2020)
- Zihni A, "Comparison of precision and speed in laparoscopic and robot-assisted surgical task performance", J Surg Res, 223, pp.29~33 (2018)
- Wilhelm D, "Enhanced visualization : from intraoperative tissue differentiation to augmented reality", Visc Med, 34, pp.52~59 (2018)
- Chen IA, "Evolving robotic surgery training and improving patient safety, with the integration of novel technologies", World J Urol, 39, pp.2883~2893 (2021)
- "Investor presentation Q1 2024" (2024)[URL]
- "Intuitive announces fourth quarter earnings" (2023)[URL]
- Bauer MS, "An introduction to implementation science for the non-specialist", BMC Psychol, 3, pp.32~ (2015)
- Saunders H, "Practicing healthcare professionals’ evidence-based practice competencies : an overview of systematic reviews", Worldviews Evid Based Nurs, 16, pp.176~185 (2019)
- Atkins D, "Better information for better health care : the Evidence-based Practice Center program and the Agency for Healthcare Research and Quality", Ann Intern Med, 142(12 Pt 2), pp.1035~1041 (2005)
- Choi HCW, "Global comparison of cancer outcomes : standardization and correlation with healthcare expenditures", BMC Public Health, 19, pp.1065~ (2019)
- Ubbink DT, "Implementation of evidence-based practice : outside the box, throughout the hospital", Neth J Med, 69, pp.87~94 (2011)
- Fearing G, "Clinical transformation : manager’s perspectives on implementation of evidence-based practice", Adm Policy Ment Health, 41, pp.455~468 (2014)
- Morris ZS, "The answer is 17 years, what is the question : understanding time lags in translational research", J R Soc Med, 104, pp.510~520 (2011)
- McArthur C, "Barriers and facilitators to implementing evidence-based guidelines in long-term care : a qualitative evidence synthesis", Implement Sci, 16, pp.70~ (2021)
- Catchpole K, "Safety, efficiency and learning curves in robotic surgery : a human factors analysis", Surg Endosc, 30, pp.3749~3761 (2016)
- Sgarbură O, "A 5-year perspective over robotic general surgery : indications, risk factors and learning curves", Chirurgia(Bucur), 108, pp.599~610 (2013)
- Magistri P, "Improving outcomes defending patient safety : the learning journey in robotic liver resections", Biomed Res Int, 2019, pp.1835085~ (2019)
- Balafoutas D, "Implementation of robotic gynecological surgery in a German University Hospital : patient safety after 110 procedures", Arch Gynecol Obstet, 302, pp.1381~1388 (2020)
- Alemzadeh H, "Adverse events in robotic surgery : a retrospective study of 14 years of FDA data", PLoS One, 11, pp.e0151470~ (2016)
- Ghasemkhani A, "A hybrid simulation and optimisation approach for capacity allocation of operating rooms under uncertainty", Int J Syst Sci : Oper Logist, 10, pp.2244423~ (2023)
- Ghasemi S, "Operating room scheduling by emphasising human factors and dynamic decisionmaking styles : a constraint programming method", Int J Syst Sci : Oper Logist, 10, pp.2224509~ (2023)
- Faccio M, "Collaborative and traditional robotic assembly : a comparison model", Int J Adv Manuf Technol, 102, pp.1355~1372 (2019)
- Balkhy HH, "A shifting paradigm in robotic heart surgery : from single-procedure approach to establishing a robotic heart center of excellence", Innovations(Phila), 15, pp.187~194 (2020)
- Ahmed K, "Development of a standardised training curriculum for robotic surgery : a consensus statement from an international multidisciplinary group of experts", BJU Int, 116, pp.93~101 (2015)
- Volpe A, "Pilot validation study of the European Association of Urology robotic training curriculum", Eur Urol, 68, pp.292~299 (2015)
- Coorevits P, "Electronic health records : new opportunities for clinical research", J Intern Med, 274, pp.547~560 (2013)
- Elbe S, "Data, disease and diplomacy : GISAID’s innovative contribution to global health", Glob Chall, 1, pp.33~46 (2017)
- Kim H, "South Korea : in the midst of a privacy reform centered on data sharing", Hum Genet, 137, pp.627~635 (2018)