Abstract
Anesthesia Information Management Systems are specialized forms of electronic medical records used by anesthesiologists to automatically and reliably collect, store, and present perioperative patient data. There are no recent academic publications that outline the names and features of AIMS in the current American and Canadian marketplace. An environmental scan was performed to first identify existing AIMS in this marketplace, and then describe and compare these AIMS. We found 13 commercially available AIMS but were able to describe in detail the features and functionalities of only 10 of these systems, as three vendors did not participate in the study. While all AIMS have certain key features, other features and functionalities are only offered by some of the AIMS. Features less commonly offered included patient portals for pre-operative questionnaires, clinical decision support systems, and voice-to-text capability for documentation. The findings of this study can inform AIMS procurement efforts by enabling anesthesia departments to compare features across AIMS and find an AIMS whose features best fit their needs and priorities. Future studies are needed to describe the features and functionalities of these AIMS at a more granular level, and also assess the usability and costs of these systems.
Similar content being viewed by others
Availability of data and material
Available upon request.
References
J. A. Gálvez, B. S. Rothman, C. A. Doyle, S. Morgan, A. F. Simpao, and M. A. Rehman, “A Narrative Review of Meaningful Use and Anesthesia Information Management Systems,” Anesth. Analg., vol. 121, no. 3, pp. 693–706, 2015.
N. J. Shah and K. K. Tremper, “Anatomy of an Anesthesia Information Management System,” Anesthesiol. Clin., vol. 29, pp. 355–365, 2011.
A. F. Simpao and M. A. Rehman, “Anesthesia Information Management Systems,” Anesth. Analg., vol. 127, no. 1, pp. 90–94, 2018.
A. F. Simpao and J. M. Ehrenfeld, “Monitoring Technologies in Acute Care Environments,” Monit. Technol. Acute Care Environ., pp. 391–397, 2014.
B. Kadry, W. W. Feaster, A. Macario, and J. M. Ehrenfeld, “Anesthesia Information Management Systems : Past , Present , and Future of Anesthesia Records,” Mt. Sinai J. Med., pp. 154–165, 2012.
R. H. Epstein, F. Dexter, and N. Patel, “Influencing Anesthesia Provider Behavior Using Anesthesia Information Management System Data for Near Real-Time Alerts and Post Hoc Reports,” Anesth. Analg., vol. 121, no. 3, pp. 678–692, 2015.
J. M. Ehrenfeld and M. A. Rehman, “AIMS: A Review of Functionality & Installation Considerations,” J Clin Monit Comput, vol. 25, no. 1, pp. 71–79, 2012.
M. M. Vigoda and D. M. Feinstein, “Anesthesia Information Management Systems,” Adv. Anesth., vol. 26, pp. 121–136, 2008.
I. S. Stol, J. M. Ehrenfeld, and R. H. Epstein, “Technology Diffusion of Anesthesia Information Management Systems into Academic Anesthesia Departments in the United States,” Anesth Analg, vol. 118, no. 3, pp. 644–650, 2014.
P. Kazemi, F. Lau, A. F. Simpao, R. J. Williams, and C. Matava, “The state of adoption of anesthesia information management systems in Canadian academic anesthesia departments: a survey,” Can. J. Anesth., 2021.
B. G. Nair, E. Gabel, and M. Cannesson, “Intraoperative Clinical Decision Support for Anesthesia: A Narrative Review of Available Systems,” Anesth. Analg., vol. 124, no. 2, pp. 603–617, 2017.
A. F. Simpao, J. M. Tan, A. M. Lingappan, J. A. Galvez, S. E. Morgan, and M. A. Krall, “A systematic review of near real-time and point-of-care clinical decision support in anesthesia information management systems,” J. Clin. Monit. Comput., pp. 885–894, 2017.
J. Stonemetz, “Anesthesia Information Management Systems Market place and Current Vendors,” Anesthesiol. Clin., vol. 29, no. 3, pp. 367–375, 2011.
P. Graham, T. Evitts, and R. Thomas-MacLean, “Environmental scans: How useful are they for primary care research?,” Can. Fam. Physician, vol. 54, no. 7, pp. 1022–1023, 2008.
M. Conway, “Environmental scanning: What it is and how to do it...,” p. 30, 2009.
DuckDuckGo, “About DuckDuckGo.” [Online]. Available: https://duckduckgo.com/about. [Accessed: 21-Sep-2021].
S. Hollingsworth, “DuckDuckGo vs. Google: An In-Depth Search Engine Comparison.” [Online]. Available: https://www.searchenginejournal.com/google-vs-duckduckgo/301997/#close. [Accessed: 21-Sep-2021].
HIMSS, “Interoperability in Healthcare.” [Online]. Available: https://www.himss.org/resources/interoperability-healthcare. [Accessed: 19-Sep-2020].
T. Otte-trojel, A. De Bont, T. G. Rundall, and J. Van De Klundert, “What do we know about developing patient portals ? a systematic literature review,” J Am Med Inf. Assoc, no. April 2015, pp. 162–168, 2016.
D. W. Bates et al., “Ten commandments for effective clinical decision support: making the practice of evidence-based medicine a reality.,” J. Am. Med. Inform. Assoc., vol. 10, no. 6, pp. 523–30, 2003.
K. Kawamoto, C. A. Houlihan, A. Balas, and D. F. Lobach, “Information in practice Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success.”
R. E. Freundlich and J. M. Ehrenfeld, “Anesthesia Information Management: Clinical Decision Support,” Curr. Opin. Anaesthesiol., vol. 30, no. 6, pp. 705–709, Dec. 2017.
J. P. Wanderer and J. M. Ehrenfeld, “Clinical Decision Support for Perioperative Information Management Systems,” Semin. Cardiothorac. Vasc. Anesth., 2013.
O. Ali, A. Shrestha, J. Soar, and S. F. Wamba, “Cloud computing-enabled healthcare opportunities, issues, and applications: A systematic review,” Int. J. Inf. Manage., vol. 43, Dec. 2018.
Y. A. Kumah-Crystal, C. J. Pirtle, H. M. Whyte, E. S. Goode, S. H. Anders, and C. U. Lehmann, “Electronic Health Record Interactions through Voice: A Review,” Appl Clin Inf., vol. 9, pp. 541–552, 2018.
D. A. Hashimoto, E. Witkowski, L. Gao, O. Meireles, and G. Rosman, “Artificial intelligence in anesthesiology: Current techniques, clinical applications, and limitations,” Anesthesiology, no. 2, pp. 379–394, 2020.
KLAS, “Anesthesia 2016: A Clinician Take on Anesthesia Information a Clinician Take on Anesthesia Information,” 2016.
Plexus Technology Group, “About Us | Electronic Anesthesia Documentation | Plexus TG.” [Online]. Available: https://www.plexustg.com/about-us. [Accessed: 27-Sep-2020].
Cerner, “Cerner 2019 Annual Report,” 2019. [Online]. Available: https://investors.cerner.com/static-files/b9be7606-0545-4649-be7d-8dac385d9395. [Accessed: 24-Sep-2020].
C. Tate and P. Warburton, “US Hospital EMR Market Share 2020 Shifting Perspectives Among Large and Small Hospitals - KLAS Report,” 2020. [Online]. Available: https://klasresearch.com/report/us-hospital-emr-market-share-2020/1616.
Dräger, “About Dräger.” [Online]. Available: https://www.draeger.com/en_corp/About-Draeger. [Accessed: 15-Sep-2020].
Dräger, “Anesthesia Machines – Innovative Anesthesia Workstations | Draeger.” [Online]. Available: https://www.draeger.com/en-us_us/Hospital/Anesthesia-Machines. [Accessed: 15-Sep-2020].
Epic, “About Us | Epic.” [Online]. Available: https://www.epic.com/about. [Accessed: 15-Sep-2020].
Surgical Information Systems, “About Surgical Information Systems - Medical Management Solutions.” [Online]. Available: https://www.sisfirst.com/sis-about. [Accessed: 22-Sep-2020].
J. Hess, “2017 Best in KLAS Awards Software and Services - KLAS Report.” [Online]. Available: https://klasresearch.com/report/2017-best-in-klas-awards-software-and-services/1173. [Accessed: 17-Sep-2020].
Picis, “What is Picis? Leading Clinical Information Solutions Company.” [Online]. Available: https://www.picis.com/about/. [Accessed: 19-Sep-2020].
Spectrum Medical, “Company Profile & History.” [Online]. Available: https://www.spectrummedical.com/company/about-us/company-profile-and-history.aspx. [Accessed: 19-Sep-2020].
Surgical Information Systems, “SIS Ranks as #1 ASC EHR Vendor by Black Book for 5th Year.” [Online]. Available: https://blog.sisfirst.com/sis-ranks-as-1-asc-ehr-vendor-by-black-book-for-5th-year#B1. [Accessed: 22-Sep-2020].
Author information
Authors and Affiliations
Contributions
Pooya Kazemi and Francis Lau contributed to the study conception and design. Data collection was performed by Pooya Kazemi. Data analysis and interpretation were performed by all authors. The first draft of the manuscript was written by Pooya Kazemi and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Research involving human participants and/or animals
Ethics approval was obtained in May 2019 from the University of Victoria Human Research Ethics Board prior to commencement of the study. Copy of the Certificate of Ethical Approval available upon request.
Informed consent
All AIMS vendors were provided with a study information letter that also served as implied consent.
Disclosure of potential conflicts of interest
None declared.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This article is part of the Topical Collection on Education & Training
Appendix
Appendix
Rights and permissions
About this article
Cite this article
Kazemi, P., Lau, F., Matava, C. et al. An Environmental Scan of Anesthesia Information Management Systems in the American and Canadian Marketplace. J Med Syst 45, 101 (2021). https://doi.org/10.1007/s10916-021-01781-0
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10916-021-01781-0