Coffey K, Keller S, Anderson D, Deloney V, Harris A, Henderson D, Chiotos K. Infection prevention and antibiotic stewardship program needs and practices in 2021: a survey of the Society for Healthcare Epidemiology of America Research Network. Infect Control Hosp Epidemiol. 2023;44(6):948–50. https://doi.org/10.1017/ice.2022.222.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Landman, K. Great news for germs. Vox News. Published 23 December 2022, Accessed 5 May 2023. https://www.vox.com/science-and-health/2022/12/23/23520581/infectious-disease-doctors-physicians-workforce-shortage-match-fellowship-rural-fauci.

Hussaini SMQ. Dearth of infectious diseases physicians as the USA faces a global pandemic. Lancet Infect Dis. 2020;20(6):648–49. https://doi.org/10.1016/S1473-3099(20)30377-7. Epub 2020 May 7. PMID: 32386608; PMCID: PMC7252147.

Edmond MB, Wenzel RP. Infection prevention in the health care setting. Mandell, Douglas, and Bennett’s principles and practice of infectious diseases. 2015:3286–3293.e1. https://doi.org/10.1016/B978-1-4557-4801-3.00300-3. Epub 2014 Oct 31. PMCID: PMC7151977.

Fitzpatrick F, Doherty A, Lacey G. Using artificial intelligence in infection prevention. Curr Treat Options Infect Dis. 2020;12(2):135–144. https://doi.org/10.1007/s40506-020-00216-7. Epub 2020 Mar 19. PMID: 32218708; PMCID: PMC7095094.

Dos Santos RP, Silva D, Menezes A, Lukasewicz S, Dalmora CH, Carvalho O, Giacomazzi J, Golin N, Pozza R, Vaz TA. Automated healthcare-associated infection surveillance using an artificial intelligence algorithm. Infect Prev Pract. 2021;3(3): 100167. https://doi.org/10.1016/j.infpip.2021.100167.PMID:34471868;PMCID:PMC8387762.

Article  PubMed  PubMed Central  Google Scholar 

•• Scardoni A, Balzarini F, Signorelli C, Cabitza F, Odone A. Artificial intelligence-based tools to control healthcare associated infections: a systematic review of the literature. J Infect Public Health. 2020;13(8):1061–1077. https://doi.org/10.1016/j.jiph.2020.06.006. Epub 2020 Jun 16. PMID: 32561275. https://pubmed.ncbi.nlm.nih.gov/32561275/. This article describes what artificial intelligence–based tools are the most valuable in aiding hospital epidemiologists in the prevention of healthcare-associated infections. Though these tools are constantly changing as AI becomes more sophisticated, a systematic review helps readers know the strength of the available tools.

Garcia R, Barnes S, Boukidjian R, Goss LK, Spencer M, Septimus EJ, Wright MO, Munro S, Reese SM, Fakih MG, Edmiston CE, Levesque M. Recommendations for change in infection prevention programs and practice. Am J Infect Control. 2022;50(12):1281–1295. https://doi.org/10.1016/j.ajic.2022.04.007. Epub 2022 May 4. PMID: 35525498; PMCID: PMC9065600.

•• Adams R, Henry KE, Sridharan A, et al. Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis. Nat Med. 2022;28:1455–60. https://doi.org/10.1038/s41591-022-01894-0. This article describes how one large healthcare system successfully implemented machine learning to detect earlysepsis. Actually implementing machine learning into effective clinical practice remains an ongoing challenge, to this success fulimplementation is quite notable.

Article  CAS  PubMed  Google Scholar 

Becker J, Decker JA, Römmele C, Kahn M, Messmann H, Wehler M, Schwarz F, Kroencke T, Scheurig-Muenkler C. Artificial intelligence-based detection of pneumonia in chest radiographs. Diagnostics (Basel). 2022;12(6):1465. https://doi.org/10.3390/diagnostics12061465. PMID:35741276; PMCID:PMC9221818.

Article  CAS  PubMed  Google Scholar 

Lavallee DC, Lee JR, Semple JL, Lober WB, Evans HL. Engaging patients in co-design of mobile health tools for surgical site infection surveillance: implications for research and implementation. Surg Infect (Larchmt). 2019;20(7):535–540. https://doi.org/10.1089/sur.2019.148. Epub 2019 Aug 20. PMID: 31429644; PMCID: PMC6823881.

Sawyer RG, Evans HL, Hedrick TL. Technological advances in clinical definition and surveillance methodology for surgical site infection incorporating surgical site imaging and patient-generated health data. Surg Infect (Larchmt). 2019;20(7):541–545. https://doi.org/10.1089/sur.2019.153. Epub 2019 Aug 28. PMID: 31460834; PMCID: PMC6823882.

Lober WB, Evans HL. Patient-generated health data in surgical site infection: changing clinical workflow and care delivery. Surg Infect (Larchmt). 2019;20(7):571–6. https://doi.org/10.1089/sur.2019.195. Epub 2019 Aug 9 PMID: 31397635.

Article  PubMed  Google Scholar 

Goodswen SJ, Barratt JLN, Kennedy PJ, Kaufer A, Calarco L, Ellis JT. Machine learning and applications in microbiology. FEMS Microbiol Rev. 2021;45(5):fuab015. https://doi.org/10.1093/femsre/fuab015. PMID: 33724378; PMCID: PMC8498514.

Sundermann AJ, Chen J, Kumar P, Ayres AM, Cho ST, Ezeonwuka C, Griffith MP, Miller JK, Mustapha MM, Pasculle AW, Saul MI, Shutt KA, Srinivasa V, Waggle K, Snyder DJ, Cooper VS, Van Tyne D, Snyder GM, Marsh JW, Dubrawski A, Roberts MS, Harrison LH. Whole-genome sequencing surveillance and machine learning of the electronic health record for enhanced healthcare outbreak detection. Clin Infect Dis. 2022;75(3):476–82. https://doi.org/10.1093/cid/ciab946.PMID:34791136;PMCID:PMC9427134.

Article  PubMed  Google Scholar 

Chau KK, Barker L, Budgell EP, Vihta KD, Sims N, Kasprzyk-Hordern B, Harriss E, Crook DW, Read DS, Walker AS, Stoesser N. Systematic review of wastewater surveillance of antimicrobial resistance in human populations. Environ Int. 2022;162:107171. https://doi.org/10.1016/j.envint.2022.107171. Epub 2022 Mar 12. PMID: 35290866; PMCID: PMC8960996. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8960996/.

Kilaru P, Hill D, Anderson K, Collins MB, Green H, Kmush BL, Larsen DA. Wastewater surveillance for infectious disease: a systematic review. Am J Epidemiol. 2023;192(2):305–22. https://doi.org/10.1093/aje/kwac175.PMID:36227259;PMCID:PMC9620728.

Article  PubMed  Google Scholar 

Tiwari A, Adhikari S, Kaya D, Islam MA, Malla B, Sherchan SP, Al-Mustapha AI, Kumar M, Aggarwal S, Bhattacharya P, Bibby K, Halden RU, Bivins A, Haramoto E, Oikarinen S, Heikinheimo A, Pitkänen T. Monkeypox outbreak: wastewater and environmental surveillance perspective. Sci Total Environ. 2023;856(Pt 2):159166. https://doi.org/10.1016/j.scitotenv.2022.159166. Epub 2022 Oct 3. PMID: 36202364; PMCID: PMC9534267.

• Tiwari A, Kurittu P, Al-Mustapha AI, Heljanko V, Johansson V, Thakali O, Mishra SK, Lehto KM, Lipponen A, Oikarinen S, Pitkänen T, WastPan Study Group, Heikinheimo A. Wastewater surveillance of antibiotic-resistant bacterial pathogens: a systematic review. Front Microbiol. 2022;13:977106. https://doi.org/10.3389/fmicb.2022.977106. PMID: 36590429; PMCID: PMC9798455. Wastewater surveillance has become a topic of interest since increased media coverage during the COVID-19 pandemic. This article describes how wastewater surveillance can be used for detection of other pathogens besides SARS-CoV-2.

Wasylewicz ATM, Scheepers-Hoeks AMJW. Clinical decision support systems. 2018 Dec 22. In: Kubben P, Dumontier M, Dekker A, editors. Fundamentals of clinical data science [Internet]. Cham (CH): Springer; 2019. Chapter 11. Available from: https://www.ncbi.nlm.nih.gov/books/NBK543516/10.1007/978-3-319-99713-1_11.

Kumar A, Kaur M, Kaur S, Nagi M, Agnihotri M, Nagar PK, Kumar P, Das K. Attitude and perception of nursing personnel involved in real time remote audio-visual aided (RT-RAVA) monitoring of doffing for the prevention of COVID-19 infection among the health care workers. Hosp Top. 2022;10:1–8. https://doi.org/10.1080/00185868.2022.2073303. Epub ahead of print. PMID: 35535975.

Overdyk FJ, Dowling O, Newman S, Glatt D, Chester M, Armellino D, Cole B, Landis GS, Schoenfeld D, DiCapua JF. Remote video auditing with real-time feedback in an academic surgical suite improves safety and efficiency metrics: a cluster randomised study. BMJ Qual Saf. 2016;25(12):947–953. https://doi.org/10.1136/bmjqs-2015-004226. Epub 2015 Dec 11. PMID: 26658775; PMCID: PMC5256234

Al Salman JM, Hani S, de Marcellis-Warin N, Isa SF. Effectiveness of an electronic hand hygiene monitoring system on healthcare workers’ compliance to guidelines. J Infect Public Health. 2015;8(2):117–26. https://doi.org/10.1016/j.jiph.2014.07.019. Epub 2014 Oct 18. PMID: 25444391.

Wang C, Jiang W, Yang K, Yu D, Newn J, Sarsenbayeva Z, Goncalves J, Kostakos V. Electronic monitoring systems for hand hygiene: systematic review of technology. J Med Internet Res. 2021;23(11): e27880. https://doi.org/10.2196/27880.PMID:34821565;PMCID:PMC8663600.

Article  PubMed  PubMed Central  Google Scholar 

Huang CY, Thomas JB, Alismail A, Cohen A, Almutairi W, Daher NS, Terry MH, Tan LD. The use of augmented reality glasses in central line simulation: “see one, simulate many, do one competently, and teach everyone.” Adv Med Educ Pract. 2018;10(9):357–63. https://doi.org/10.2147/AMEP.S160704.PMID:29785148;PMCID:PMC5953413.

Article  Google Scholar 

Soffler MI, Hayes MM, Smith CC. Central venous catheterization training: current perspectives on the role of simulation. Adv Med Educ Pract. 2018;25(9):395–403. https://doi.org/10.2147/AMEP.S142605.PMID:29872360;PMCID:PMC5973312.

Article  Google Scholar 

Quan KA, Cousins SM, Porter DD, O’Brien M, Rudkin S, Lambertson B, Hoang D, Dangodara AA, Huang SS. Electronic health record solutions to reduce central line-associated bloodstream infections by enhancing documentation of central line insertion practices, line days, and daily line necessity. Am J Infect Control. 2016;44(4):438–43. https://doi.org/10.1016/j.ajic.2015.10.036. Epub 2015 Dec 21 PMID: 26717872.

Article  PubMed  Google Scholar 

Anderson DJ, Moehring RW, Weber DJ, Lewis SS, Chen LF, Schwab JC, Becherer P, Blocker M, Triplett PF, Knelson LP, Lokhnygina Y, Rutala WA, Sexton DJ; CDC Prevention Epicenters Program. Effectiveness of targeted enhanced terminal room disinfection on hospital-wide acquisition and infection with multidrug-resistant organisms and Clostridioides difficile: a secondary analysis of a multicentre cluster randomised controlled trial with crossover design (BETR Disinfection). Lancet Infect Dis. 2018;18(8):845–853. https://doi.org/10.1016/S1473-3099(18)30278-0. Epub 2018 Jun 4. PMID: 29880301; PMCID: PMC6487496.

Yang JH, Wu UI, Tai HM, Sheng WH. Effectiveness of an ultraviolet-C disinfection system for reduction of healthcare-associated pathogens. J Microbiol Immunol Infect. 2019;52(3):487–93. https://doi.org/10.1016/j.jmii.2017.08.017. Epub 2017 Sep 18 PMID: 28951015.

Article  CAS  PubMed  Google Scholar 

Murrell LJ, Hamilton EK, Johnson HB, Spencer M. Influence of a visible-light continuous environmental disinfection system on microbial contamination and surgical site infections in an orthopedic operating room. Am J Infect Control. 2019;47(7):804–10. https://doi.org/10.1016/j.ajic.2018.12.002. Epub 2019 Jan 10 PMID: 30638672.

Article  PubMed  Google Scholar 

Armellino D, Cifu K, Wallace M, Johnson S, DiCapua J, Dowling O, Jacobs M, Browning S. Implementation of remote video auditing with feedback and compliance for manual-cleaning protocols of endoscopic retrograde cholangiopancreatography endoscopes. Am J Infect Control. 2018;46(5):594–6. https://doi.org/10.1016/j.ajic.2017.10.007. Epub 2017 Nov 28 PMID: 29195779.

Article  PubMed  Google Scholar 

Raphael KL, McNoble E, Goldbeck J, Stiles M, Miller LS, Trindade AJ. Remote video auditing in the endoscopy unit for evaluation of duodenoscope reprocessing in a tertiary care center. Endoscopy. 2020;52(10):864–70. https://doi.org/10.1055/a-1157-8861. Epub 2020 May 14 PMID: 32408362.

Article  PubMed  Google Scholar 

Bearman GM, Vokes RA. Averting a betrayal of trust: system and individual accountability in healthcare infection prevention. Infect Control Hosp Epidemiol. 2019;40(8):918–9. https://doi.org/10.1017/ice.2019.137. Epub 2019 May 24 PMID: 31124427.

Article  PubMed  Google Scholar 

Watkins, M. Making virtual teams work: ten basic principles. Harvard Business Review. https://hbr.org/2013/06/making-virtual-teams-work-ten. Published 27 June 2013. Accessed 4 Mar 2023.

The New York Times Magazine. What Google learned from its quest to build the perfect team. https://www.nytimes.com/2016/02/28/magazine/what-google-learned-from-its-quest-to-build-the-perfect-team.html. Published 25 February 2016. Accessed 23 Mar 2023.

Sinek, Simon. Start with why: how great leaders inspire everyone to take action. Penguin Books. 2011.

Sexton DJ. My winding journey to a career in hospital epidemiology: serendipity, detours and opportunities. Antimicrob Stewardship Healthcare Epidemiol. 2023;3(1): e28. https://doi.org/10.1017/ash.2022.378.

Article  Google Scholar 

Smith T, Pryor R, Hota S, Haessler S, Deloney V, Bearman G. Characterizing burnout among healthcare epidemiologists in the early phases of the COVID-19 pandemic: a study of the SHEA Research Network. Antimicrobial Stewardship & Healthcare Epidemiology. 2023;3(1):E52. https://doi.org/10.1017/ash.2023.124.

Article  Google Scholar 

Safi S, Thiessen T, Schmailzl KJ. Acceptance and resistance of new digital technologies in medicine: qualitative study. JMIR Res Protoc. 2018;7(12): e11072. https://doi.org/10.2196/11072.PMID:30514693;PMCID:PMC6299231.

Article  PubMed  PubMed Central  Google Scholar 

Tabrizi B, Lam E, Girard K, Irvin V. Digital transformation is not about technology. Harvard Business Review. Published 13 March 2019. Accessed 4 Mar 2023. https://hbr.org/2019/03/digital-transformation-is-not-about-technology

•• AlQudah AA, Al-Emran M, Shaalan K. Technology acceptance in healthcare: a systematic review. Appl Sci. 2021; 11(22):10537. https://doi.org/10.3390/app112210537. This article describes the frameworks that hospitals can use to increase acceptance of technology and new tools among healthcare workers. Acceptance of technology is crucial to successful implementation of these tools.

Barchielli C, Marullo C, Bonciani M, Vainieri M. Nurses and the acceptance of innovations in technology-intensive contexts: the need for tailored management strategies. BMC Health Serv Res. 2021;21(1):639. https://doi.org/10.1186/s12913-021-06628-5.PMID:34215228;PMCID:PMC8253682.

Article  PubMed  PubMed Central  Google Scholar 

Meng M, Sorber M, Herzog A, Igel C, Kugler C. Technological innovations in infection control: a rapid review of the acceptance of behavior monitoring systems and their contribution to the improvement of hand hygiene. Am J Infect Control, Volume 2019;47(4):439–447, ISSN 0196–6553, https://doi.org/10.1016/j.ajic.2018.10.012.

Smith T, Hess O, Pryor R, Doll M, Bearman G. Addressing frontline healthcare worker perspectives on hand-hygiene monitoring badges. Abstract. SHEA Spring. April 2023.

Tarantini C, Brouqui P, Wilson R, Griffiths K, Patouraux P, Peretti-Watel P. Healthcare workers’ attitudes towards hand-hygiene monitoring technology. J Hosp Infect. 2019;102(4):413–8. https://doi.org/10.1016/j.jhin.2019.02.017. Epub 2019 Mar 2 PMID: 30831187.

Article  CAS  PubMed  Google Scholar 

Druckerman DG, Appelbaum N, Armstrong-Novak JD, Masroor N, Cooper K, Stevens MP, Godbout E, Bearman G, Doll ME. Healthcare worker perceptions of hand hygiene monitoring technologies: does technology performance matter? Infect Control Hosp Epidemiol. 2021;42(12):1519–20. https://doi.org/10.1017/ice.2021.286. Epub 2021 Jul 23 PMID: 34294169.

Article  PubMed  Google Scholar