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      Contributing Factors to Operating Room Delays Identified from an Electronic Health Record: A Retrospective Study

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          Abstract

          The operating room (OR) is considered a major cost center and revenue generator for hospitals. Multiple factors contribute to OR delays and impact patient safety, patient satisfaction scores, and hospital financial performance. Reducing OR delays allows better utilization of OR resources and staffing and improves patient satisfaction while decreasing operating costs. Accurate scheduling can be the basis to achieve these goals. The objective of this initial study was to identify factors not normally documented in the electronic health record (EHR) that may contribute to or be indicators of OR delays. Materials and Methods. A retrospective data analysis was performed analyzing 67,812 OR cases from 12 surgical specialties at a small university medical center from 2010 through the first quarter of 2017. Data from the hospital's EHR were exported and subjected to statistical analysis using Statistical Analysis System (SAS) software (SAS Institute, Cary, NC). Results. Statistical analysis of the extracted EHR data revealed factors that were associated with OR delays including, surgical specialty, preoperative assessment testing, patient body mass index, American Society of Anesthesiologists (ASA) physical status classification, daily procedure count, and calendar year. Conclusions. Delays hurt OR efficiency on many levels. Identifying those factors may reduce delays and better accommodate the needs of surgeons, staff, and patients thereby leading to improved patient's outcomes and patient satisfaction. Reducing delays can decrease operating costs and improve the financial position of the operating theater as well as that of the hospital. Anesthesiology teams can play a key role in identifying factors that cause delays and implementing mitigating efficiencies.

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          Most cited references34

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          Operating room planning and scheduling: A literature review

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            Where are the costs in perioperative care? Analysis of hospital costs and charges for inpatient surgical care.

            Many health-care institutions are emphasizing cost reduction programs as a primary tool for managing profitability. The goal of this study was to elucidate the proportion of anesthesia costs relative to perioperative costs as determined by charges and actual costs. Costs and charges for 715 inpatients undergoing either discectomy (n = 234), prostatectomy (n = 152), appendectomy (n = 122) or laparoscopic cholecystectomy (n = 207) were retrospectively analyzed at Stanford University Medical Center from September 1993 to September 1994. Total hospital costs were separated into 11 hospital departments. Cost-to-charge ratios were calculated for each surgical procedure and hospital department. Hospitalization costs were also divided into variable and fixed costs (costs that do and do not change with patient volume). Costs were further partitioned into direct and indirect costs (costs that can and cannot be linked directly to a patient). Forty-nine (49%) percent of total hospital costs were variable costs. Fifty-seven (57%) percent were direct costs. The largest hospital cost category was the operating room (33%) followed by the patient ward (31%). Intraoperative anesthesia costs were 5.6% of the total hospital cost. The overall cost-to-charge ratio (0.42) was constant between operations. Cost-to-charge ratios varied threefold among hospital departments. Patient charges overestimated resource consumption in some hospital departments (anesthesia) and underestimated resource consumption in others (ward). Anesthesia comprises 5.6% of perioperative costs. The influence of anesthesia practice patterns on "downstream" events that influence costs of hospitalization requires further study.
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              Telemedicine for preoperative assessment during a COVID-19 pandemic: Recommendations for clinical care

              Limiting the spread of the disease is key to controlling the COVID-19 pandemic. This includes identifying people who have been exposed to COVID-19, minimizing patient contact, and enforcing strict hygiene measures. To prevent healthcare systems from becoming overburdened, elective and non-urgent medical procedures and treatments have been postponed, and primary health care has broadened to include virtual appointments via telemedicine. Although telemedicine precludes the physical examination of a patient, it allows collection of a range of information prior to a patient's admission, and may therefore be used in preoperative assessment. This new tool can be used to evaluate the severity and progression of the main disease, other comorbidities, and the urgency of the surgical treatment as well as preferencing anesthetic procedures. It can also be used for effective screening and triaging of patients with suspected or established COVID-19, thereby protecting other patients, clinicians and communities alike.
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                Author and article information

                Contributors
                Journal
                Anesthesiol Res Pract
                Anesthesiol Res Pract
                arp
                Anesthesiology Research and Practice
                Hindawi
                1687-6962
                1687-6970
                2022
                13 September 2022
                : 2022
                : 8635454
                Affiliations
                1University of Toledo College of Medicine and Life Sciences, Department of Anesthesiology, Toledo, OH, USA
                2University of Toledo College of Medicine and Life Sciences, Toledo, OH, USA
                3University of Toledo College of Engineering, Department of Bioengineering, Toledo, OH, USA
                4University of Toledo College of Medicine and Life Sciences, Department of Medicine, Toledo, OH, USA
                Author notes

                Academic Editor: Giuseppe Minervini

                Author information
                https://orcid.org/0000-0002-4024-227X
                Article
                10.1155/2022/8635454
                9489409
                36147900
                fd2ce55f-ca80-4b2d-9673-b17922e73d9f
                Copyright © 2022 Scott M. Pappada et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 12 July 2022
                : 18 August 2022
                : 20 August 2022
                Funding
                Funded by: University of Toledo
                Categories
                Research Article

                Anesthesiology & Pain management
                Anesthesiology & Pain management

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