Systems Anesthesiology: Integrating Insights From Diverse Disciplines to Improve Perioperative Care

Ruscic, Katarina J.; Hanidziar, Dusan; Shaw, Kendrick M.; Wiener-Kronish, Jeanine P.; Shelton, Kenneth

doi:10.1213/ane.0000000000006166

Cited by 3 publications

(2 citation statements)

References 37 publications

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“…Although some of the data points may have changed and the medical team approach has improved (eg, with rapid response teams), technology will play a role in modernizing the capabilities of PACU providers and moving towards more integrated, “systems anesthesiology” approaches to patient care. 37 An especially forward-looking integration of all of this data will include augmented reality (AR) 38 (an integration of synthetic content with the real world), mixed reality (AR but with the ability to manipulate the synthetic data), and/or remote automated monitoring systems (a subset of telemedicine) 39 in the recovery room. Head-mounted displays, for example, could show live-streaming risk scores for each patient, bed management and throughput data, computer vision-assisted interpretation of ultrasound images, and widely available biomarker assays that guide prediction and management of an array of outcomes.…”

Section: The Postoperative Periodmentioning

confidence: 99%

Remote Monitoring and Artificial Intelligence: Outlook for 2050

Feinstein,

Katz,

Demaria

et al. 2024

Anesthesia &Amp; Analgesia

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Remote monitoring and artificial intelligence will become common and intertwined in anesthesiology by 2050. In the intraoperative period, technology will lead to the development of integrated monitoring systems that will integrate multiple data streams and allow anesthesiologists to track patients more effectively. This will free up anesthesiologists to focus on more complex tasks, such as managing risk and making value-based decisions. This will also enable the continued integration of remote monitoring and control towers having profound effects on coverage and practice models. In the PACU and ICU, the technology will lead to the development of early warning systems that can identify patients who are at risk of complications, enabling early interventions and more proactive care. The integration of augmented reality will allow for better integration of diverse types of data and better decision-making. Postoperatively, the proliferation of wearable devices that can monitor patient vital signs and track their progress will allow patients to be discharged from the hospital sooner and receive care at home. This will require increased use of telemedicine, which will allow patients to consult with doctors remotely. All of these advances will require changes to legal and regulatory frameworks that will enable new workflows that are different from those familiar to today’s providers.

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Section: The Postoperative Periodmentioning

confidence: 99%

Remote Monitoring and Artificial Intelligence: Outlook for 2050

Feinstein,

Katz,

Demaria

et al. 2024

Anesthesia &Amp; Analgesia

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show abstract

“…In this issue of Anesthesia & Analgesia , we examine a potential futuristic framework suggested by a group of investigators from Massachusetts General Hospital, host to the first public demonstration of ether anesthesia in 1846. These investigators are proposing a new construct of “systems anesthesiology” 2 and draw parallels to the field of “systems biology”—a relatively new interdisciplinary study that integrates computational cell biology, proteomics, genomics, and computational modeling to understand the larger picture of an organism. 3 In the case of anesthesiology, the authors suggest incorporating information from the diverse spectrum of molecular, cellular, and computational data as well as a wide use of predictive models.…”

mentioning

confidence: 99%