Abstract
Background
With the improvement of sensor technology, the trend of Internet of Things (IoT) is affecting the medical devices. The aim of this study is to verify whether it is possible to “visualize instrument usage in specific procedures” by automatically accumulating the digital data related to the behavior of surgical instruments/forceps in laparoscopic surgery.
Methods
Five board-certified surgeons (PGY 9–24 years) performed laparoscopic cholecystectomy on 35-kg porcine (n = 5). Radio frequency identifier (RFID) was attached to each forceps with RFID readers installed on the left/right of the operating table. We automatically recorded the behavior by tracking the operator’s right/left hands’ forceps with RFID. The output sensor was installed in the electrocautery circuit for automatic recordings of the ON/OFF times and the activation time. All data were collected in dedicated software and used for analysis.
Results
In all cases, the behaviors of forceps and electrocautery were successfully recorded. The median operation time was 1828 s (range 1159–2962 s), of which the electrocautery probe was the longest held on the right hand (1179 s, 75%), followed by Maryland dissectors (149 s, 10%), then clip appliers (91 s, 2%). In contrast, grasping forceps were mainly used in the left hand (1780 s, 93%). The activation time of electrocautery was only 8% of the total use and the remaining was mainly used for dissection. These situations were seen in common by all operators, but as a mentor surgeon, there was a tendency to change the right hand’s instruments more frequently. The median activation time of electrocautery was 0.41 s, and these were confirmed to be 0.14–0.57 s among the operators.
Conclusion
By utilization of IoT for surgery, surgical procedure could be “visualized.” This will improve the safety on surgery such as optimal usage of surgical devices, proper use of electrocautery, and standardization of the surgical procedures.
Similar content being viewed by others
References
Ashton K (2009) That ‘Internet of Things’ thing: in the real world, things matter more than ideas. http://www.rfidjournal.com/articles/view?4986. Accessed 22 June 2009
Gershenfeld N, Krikorian R, Cohen D (2004) The internet of things. Sci Am 291:76–81
Bundesministerium für Bildung und Forschung (2014) Zukunftsprojekt Industrie 4.0. http://www.bmbf.de/de/9072.php. Accessed 19 Feb 2015
Lydon B (2014) The 4th industrial revolution, industry 4.0, unfolding at Hannover Messe 2014. Automation.com. http://www.automation.com/automation-news/article/the-4th-industrial-revolution-industry-40-unfolding-at-hannover-messe-2014. Accessed 19 Feb 2014
Industrial Internet Consortium (2015) Manufacturing. http://www.iiconsortium.org/vertical-markets/manufacturing.htm. Accessed 24 May 2015
Nakajima R, Sakaguchi K (2018) Service vision design for Smart Bed System™ of paramount bed. FUJITSU Sci Tech J 54:9–14
Hiremath S, Yang G, Mankodiya K (2014) Wearable internet of things: concept, architectural components and promises for person-centered healthcare. In: 2014 4th international conference on wireless mobile communication and healthcare—transforming healthcare through innovations in mobile and wireless technologies (MOBIHEALTH), pp 304–307
Pasluosta CF, Gassner H, Winkler J, Klucken J, Eskofier BM (2015) An emerging era in the management of Parkinson’s disease: wearable technologies and the internet of things. IEEE J Biomed Health Inform 19:1873–1881
Vilallonga R, Lecube A, Fort JM, Boleko MA, Hidalgo M, Armengol M (2013) Internet of things and bariatric surgery follow-up: comparative study of standard and IoT follow-up. Minim Invasive Ther Allied Technol 22:304–311
Egan MT, Sandberg WS (2007) Auto identification technology and its impact on patient safety in the operating room of the future. Surg Innov 14:41–50; (discussion 51)
Hanada E, Hayashi M, Ohira A (2015) Introduction of an RFID tag system to a large hospital and the practical usage of the data obtained. In: 2015 9th international symposium on medical information and communication technology (ISMICT), pp 108–111
Hanada E, Ohira A, Hayashi M, Sawa T (2015) Improving efficiency through analysis of data obtained from an RFID tag system for surgical instruments. In: 2015 IEEE 5th international conference on consumer electronics-Berlin (ICCE-Berlin), pp 84–87
Sawa T, Komatsu H (2013) Shimane university hospital implements RFID technology to manage surgical instruments. In: 2013 7th international symposium on medical information and communication technology (ISMICT), pp 90–92
Yamashita K, Iwakami Y, Imaizumi K, Yasuhara H, Mimura Y, Uetera Y, Ohara N, Komatsu T, Obayashi T, Saito Y, Komatsu H, Shimada S, Hosaka R, Ino S, Ifukube T, Okubo T (2008) Identification of information surgical instrument by ceramic RFID tag. In: 2008 World Automation Congress, pp 1–6
Dinis H, Zamith M, Mendes PM (2015) Performance assessment of an RFID system for automatic surgical sponge detection in a surgery room. In: Conference proceedings: annual international conference of the IEEE engineering in medicine and biology society IEEE engineering in medicine and biology society annual conference 2015:3149–3152
Kranzfelder M, Schneider A, Fiolka A, Schwan E, Gillen S, Wilhelm D, Schirren R, Reiser S, Jensen B, Feussner H (2013) Real-time instrument detection in minimally invasive surgery using radiofrequency identification technology. J Surg Res 185:704–710
Kranzfelder M, Zywitza D, Jell T, Schneider A, Gillen S, Friess H, Feussner H (2012) Real-time monitoring for detection of retained surgical sponges and team motion in the surgical operation room using radio-frequency-identification (RFID) technology: a preclinical evaluation. J Surg Res 175:191–198
Park Y, Park Y (2017) A selective group authentication scheme for IoT-based medical information system. J Med Syst 41:48
Carlomagno N, Santangelo M, Romagnuolo G, Antropoli C, La Tessa C, Renda A (2014) Laparoscopic cholecystectomy: technical compromise between French and American approach. Presentation of an original technique. Ann Ital Chir 85:93–100
Dubois F (1995) Laparoscopic cholecystectomy: the French technique. Springer, Berlin
Kramp KH, van Det MJ, Totte ER, Hoff C, Pierie JP (2014) Ergonomic assessment of the French and American position for laparoscopic cholecystectomy in the MIS Suite. Surg Endosc 28:1571–1578
Kum CK, Eypasch E, Aljaziri A, Troidl H (1996) Randomized comparison of pulmonary function after the ‘French’ and ‘American’ techniques of laparoscopic cholecystectomy. Br J Surg 83:938–941
Asbun HJ, Rossi RL, Lowell JA, Munson JL (1993) Bile duct injury during laparoscopic cholecystectomy: mechanism of injury, prevention, and management. World J Surg 17:547–551; 551 – 542
Strasberg SM, Hertl M, Soper NJ (1995) An analysis of the problem of biliary injury during laparoscopic cholecystectomy. J Am Coll Surg 180:101–125
Atzori L, Iera A, Morabito G (2010) The internet of things: a survey. Comput Netw 54:2787–2805
Chui M, Löffler M, Roberts R (2010) The internet of things. McKinsey Q 2:1–9
Winig L (2016) GE’s big bet on data and analytics. MIT Sloan Manag Rev:1-16. http://marketing.mitsmr.com.s3.amazonaws.com/PDF/57380-MITSMR-EY-GE-Case.pdf. Accessed 18 Feb 2016
Ju J, Kim M-S, Ahn J-H (2016) Prototyping business models for IoT service. Procedia Comput Sci 91:882–890
William A. Rutala DJW, the Healthcare Infection Control Practices Advisory Committee (HICPAC), (2008) Guideline for disinfection and sterilization in healthcare facilities, 2008. Centers for Disease Control, Washington, DC
Centers for Disease Control and Prevention (CDC) (2006) Pseudomonas aeruginosa infections associated with transrectal ultrasound-guided prostate biopsies—Georgia, 2005. MMWR Morb Mortal Wkly Rep 55:776–777
Kovaleva J, Peters FT, van der Mei HC, Degener JE (2013) Transmission of infection by flexible gastrointestinal endoscopy and bronchoscopy. Clin Microbiol Rev 26:231–254
Lowry PW, Jarvis WR, Oberle AD, Bland LA, Silberman R, Bocchini JA Jr, Dean HD, Swenson JM, Wallace RJ Jr (1988) Mycobacterium chelonae causing otitis media in an ear-nose-and-throat practice. N Engl J Med 319:978–982
Mehta AC, Prakash UB, Garland R, Haponik E, Moses L, Schaffner W, Silvestri G (2005) American college of chest physicians and American association for bronchology [corrected] consensus statement: prevention of flexible bronchoscopy-associated infection. Chest 128:1742–1755
Meyers H, Brown-Elliott BA, Moore D, Curry J, Truong C, Zhang Y, Wallace RJ Jr (2002) An outbreak of Mycobacterium chelonae infection following liposuction. Clin Infect Dis 34:1500–1507
Spach DH, Silverstein FE, Stamm WE (1993) Transmission of infection by gastrointestinal endoscopy and bronchoscopy. Ann Internal Med 118:117–128
Weber DJ, Rutala WA (2001) Lessons from outbreaks associated with bronchoscopy. Infect Control Hosp Epidemiol 22:403–408
Witters D, Seidman S, Bassen H (2010) EMC and wireless healthcare. In: 2010 Asia-Pacific international symposium on electromagnetic compatibility, pp 5–8
Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, Thrun S (2017) Dermatologist-level classification of skin cancer with deep neural networks. Nature 542:115–118
Dilsizian SE, Siegel EL (2013) Artificial intelligence in medicine and cardiac imaging: harnessing big data and advanced computing to provide personalized medical diagnosis and treatment. Curr Cardiol Rep 16:441
Maroulis DE, Iakovidis DK, Karkanis SA, Karras DA (2003) CoLD: a versatile detection system for colorectal lesions in endoscopy video-frames. Comput Methods Programs Biomed 70:151–166
Saftoiu A, Vilmann P, Gorunescu F, Janssen J, Hocke M, Larsen M, Iglesias-Garcia J, Arcidiacono P, Will U, Giovannini M, Dietrich CF, Havre R, Gheorghe C, McKay C, Gheonea DI, Ciurea T (2012) Efficacy of an artificial neural network-based approach to endoscopic ultrasound elastography in diagnosis of focal pancreatic masses. Clin Gastroenterol Hepatol 10:84–90.e81
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Disclosures
Drs. Yuki Ushimaru, Tsuyoshi Takahashi, Yoshihito Souma, Yoshitomo Yanagimoto Hirotsugu Nagase, Koji Tanaka, Yasuhiro Miyazaki, Tomoki Makino, Yukinori Kurokawa, Makoto Yamasaki, Masaki Mori, Yuichiro Doki, and Kiyokazu Nakajima have no conflicts of interest or financial ties to declare.
Ethical approval
All procedures in this study were in accordance with the ethical standards of the responsible committee on institutional human experimentation and with the Helsinki Declaration of 1964 and later versions.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Ushimaru, Y., Takahashi, T., Souma, Y. et al. Innovation in surgery/operating room driven by Internet of Things on medical devices. Surg Endosc 33, 3469–3477 (2019). https://doi.org/10.1007/s00464-018-06651-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00464-018-06651-4