The Tipping Point of Medical Technology: Implications for the Postpandemic Era

Lu, Amy C; Kamdar, Nirav

doi:10.1213/ane.0000000000005040

Cited by 10 publications

(12 citation statements)

References 13 publications

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“…3 While health care systems have incrementally incorporated telemedicine visits across specialties, 4 the coronavirus disease 2019 (COVID-19) pandemic forced the platform over the tipping point of acceptance for health systems, physicians, and even implementation skeptics. 5 – 7 At a time when state “shelter in place” policies made direct patient evaluation near impossible, telemedicine for perioperative care becomes even more relevant.…”

mentioning

confidence: 99%

Development, Implementation, and Evaluation of a Telemedicine Preoperative Evaluation Initiative at a Major Academic Medical Center

Kamdar

Huverserian

Jalilian

et al. 2020

Anesthesia &Amp; Analgesia

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confidence: 99%

Development, Implementation, and Evaluation of a Telemedicine Preoperative Evaluation Initiative at a Major Academic Medical Center

Kamdar

Huverserian

Jalilian

et al. 2020

Anesthesia &Amp; Analgesia

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“…14 Since the onset of the COVID-19 pandemic, it has seen rapid growth, although issues surrounding limited physical examination, reimbursement, privacy concerns, and interstate licensing remain. 1 , 10 , 15 …”

Section: Introductionmentioning

confidence: 99%

A Retrospective Analysis of Patients Undergoing Telemedicine Evaluation in the PreAnesthesia Testing Clinic at H. Lee Moffitt Cancer Center

et al. 2021

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Background Telemedicine for preanesthesia evaluation can decrease access disparities by minimizing commuting, time off work, and lifestyle disruptions from frequent medical visits. We report our experience with the first 120 patients undergoing telemedicine preanesthesia evaluation at Moffitt Cancer Center. Methods This is a retrospective analysis of 120 patients seen via telemedicine for preanesthesia evaluation compared with an in-person cohort meeting telemedicine criteria had it been available. Telemedicine was conducted from our clinic to a patient’s remote location using video conferencing. Clinic criteria were revised to create a tier of eligible patients based on published guidelines and anesthesiologist consensus. Results Day-of-surgery cancellation rate was 1.67% in the telemedicine versus 0% in the in-person cohort. The two telemedicine group cancellations were unrelated to medical workup, and cancellation rate between the groups was not statistically significant ( P = .49). Median round trip distance and time saved by the telemedicine group was 80 miles [range 4; 1180] and 121 minutes [range 16; 1034]. Using the federal mileage rate, the median cost savings was $46 [range $2.30; 678.50] per patient. Patients were similar in gender and race in both groups ( P = .23 and .75, respectively), but the in-person cohort was older and had higher American Society of Anesthesiologists physical status classification ( P = .0003). Conclusions Telemedicine preanesthesia evaluation results in time, distance, and financial savings without increased day-of-surgery cancellations. This is useful in cancer patients who travel significant distances to specialty centers and have a high frequency of health care visits. American Society of Anesthesiologists Physical Status classification and age differences between cohorts indicate possible patient or provider selection bias. Randomized controlled trials will aid in further exploring this technology.

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“…[ 4 ] Lack of regular follow up and the need for continuity of medical assessment has laid a greater emphasis on the need for digital health application in the present scenario. [ 5 ]…”

Section: Introductionmentioning

confidence: 99%

“…This eventually helps in curtailing the risk of direct exposure to the patients and will help in preserving personal protective care equipment (PPE) in stock. [ 5 ] The conversational form of AI includes a chatbot, which has multiple benefits. This helps in triaging the patients based on the symptom tracker.…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence and technology in COVID Era

Ahuja

Nair

2021

Journal of Anaesthesiology Clinical Pharmacology

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Application of artificial intelligence (AI) in the medical field during the coronavirus disease 2019 (COVID-19) era is being explored further due to its beneficial aspects such as self-reported data analysis, X-ray interpretation, computed tomography (CT) image recognition, and patient management. This narrative review article included published articles from MEDLINE/PubMed, Google Scholar and National Informatics Center egov mobile apps. The database was searched for “Artificial intelligence” and “COVID-19” and “respiratory care unit” written in the English language during a period of one year 2019-2020. The relevance of AI for patients is in hands of people with digital health tools, Aarogya setu app and Smartphone technology. AI shows about 95% accuracy in detecting COVID-19-specific chest findings. Robots with AI are being used for patient assessment and drug delivery to patients to avoid the spread of infection. The pandemic outbreak has replaced the classroom method of teaching with the online execution of teaching practices and simulators. AI algorithms have been used to develop major organ tissue characterization and intelligent pain management techniques for patients. The Blue-dot AI-based algorithm helps in providing early warning signs. The AI model automatically identifies a patient in respiratory distress based on face detection, face recognition, facial action unit detection, expression recognition, posture, extremity movement analysis, visitation frequency detection sound pressure, and light level detection. There is now no looking back as AI and machine learning are to stay in the field of training, teaching, patient care, and research in the future.

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The Tipping Point of Medical Technology: Implications for the Postpandemic Era

Cited by 10 publications

References 13 publications

Development, Implementation, and Evaluation of a Telemedicine Preoperative Evaluation Initiative at a Major Academic Medical Center

Development, Implementation, and Evaluation of a Telemedicine Preoperative Evaluation Initiative at a Major Academic Medical Center

A Retrospective Analysis of Patients Undergoing Telemedicine Evaluation in the PreAnesthesia Testing Clinic at H. Lee Moffitt Cancer Center

Artificial Intelligence and technology in COVID Era

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