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The robot physician’s (RP-7) management and care in unstable ICU oncology patients
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Cancer Science & Therapy

ISSN: 1948-5956

Open Access

The robot physician’s (RP-7) management and care in unstable ICU oncology patients


7th Global Summit on Cancer Therapy

October 05-07, 2015 Dubai, UAE

Alisher Agzamov

Kuwait Cancer Control Center, Kuwait

Posters-Accepted Abstracts: J Cancer Sci Ther

Abstract :

Background: The timely assessment and treatment of ICU Surgical and Medical Oncology patients is important for Oncology Surgeons and Medical Oncologists and Intensivists. We hypothesized that the use of Robot Physician�¢����s (RP-7) ICU management and care in ICU can improve ICU physician rapid response to unstable ICU Oncology patients. Methods: This is a prospective study using a before-after, cohort-control design to test the effectiveness of RP. We have used RP to make multidisciplinary ICU rounds in the ICU and for Emergency cases. Data concerning several aspects of the RP interaction including the latency of the response, the problem being treated, the intervention that was ordered and the type of information gathered using the RP were documented. The effect of RP on ICU length of stay and cost was assessed. Results: The use of RP was associated with a reduction in latency of attending physician face-to-face response for routine and urgent pages compared to conventional care (RP: 10.2���±3.3 minutes vs. conventional: 220���±80 minutes); the response latencies for Oncology Emergency (8.0���±2.8 vs. 150���±55 minutes) and for Respiratory Failure (12���±04 vs. 110���±45 minutes) were reduced (P<0.001) as was the LOS for patients with AML (5 days) and ARDS (10 days). There was an increase in ICU occupancy by 20% compared with the prerobot era and there was an ICU cost savings of KD2.2 million attributable to the use of RP. Conclusion: The use of RP enabled rapid face-to-face ICU intensivist-physician response to unstable ICU Oncology patients and resulted in decreased ICU cost and LOS.

Biography :

Email:

draalisher2011@hotmail.com

Google Scholar citation report
Citations: 3968

Cancer Science & Therapy received 3968 citations as per Google Scholar report

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