As coded clinical data are used in a variety of areas (e.g. health services funding, epidemiology, health sciences research), coding errors have the potential to produce far-reaching consequences. In this study the causes and consequences of miscoding were reviewed. In particular, the impact of miscoding due to inadequate medical documentation on hospital funding was examined. Appropriate reimbursement of hospital revenue in the casemix-based (output-based) funding system in the state of Victoria, Australia relies upon accurate, comprehensive, and timely clinical coding. In order to assess the reliability of these data in a Melbourne tertiary hospital, this study aimed to: (a) measure discrepancies in clinical code assignment; (b) identify resultant Diagnosis Related Group (DRG) changes; (c) identify revenue shifts associated with the DRG changes; (d) identify the underlying causes of coding error and DRG change; and (e) recommend strategies to address the aforementioned. An internal audit was conducted on 752 surgical inpatient discharges from the hospital within a six-month period. In a blind audit, each episode was re-coded. Comparisons were made between the original codes and the auditor-assigned codes, and coding errors were grouped and statistically analysed by categories. Changes in DRGs and weighted inlier-equivalent separations (WIES) were compared and analysed, and underlying factors were identified. Approximately 16% of the 752 cases audited reflected a DRG change, equating to a significant revenue increase of nearly AU$575,300. Fifty-six percent of DRG change cases were due to documentation issues. Incorrect selection or coding of the principal diagnosis accounted for a further 13% of the DRG changes, and missing additional diagnosis codes for 29%. The most significant of the factors underlying coding error and DRG change was poor quality of documentation. It was concluded that the auditing process plays a critical role in the identification of causes of coding inaccuracy and, thence, in the improvement of coding accuracy in routine disease and procedure classification and in securing proper financial reimbursement.

BackgroundSurgical instrument processing is important for improving the safety of surgical care in hospitals. However, it has been rarely studied to date. Errors in surgical instrument processing may increase operative times and costs, and increase the risk of surgical infections and perioperative morbidity. We aimed to investigate the errors occurred in packaging surgical instruments.MethodsSurgical instrument tracking system in a central sterile supply department (CSSD) was used to collect the packaging data during January–August 2016 in the First Affiliated Hospital of Soochow University, Suzhou City, China.ResultsData on 33,839 surgical instrument packages were collected. A total of 398 (1.18%) errors occurred, including incomplete packages (n = 70), instrument missing (n = 77), instrument malfunction (n = 27), instrument in wrong specification (n = 175), wrong packaging tag (n = 8), box and cover mismatched (n = 14), wrong packing material (n = 15), indicator card missing (n = 6), and wrong count of instruments (n = 6). The highest error rates were observed among least experienced nurses (N1 level) and during the 16:00–20:00 time period (both p < 0.05). A relatively high error rate was detected in the Department of Orthopedics as well as in the Department of Gynecology and Obstetrics.ConclusionWrong instrument specifications were the primary packing error identified in the current study. Further effort is needed to standardize the packing procedure for instruments under the same category and more effort is required to reduce the error rate during high risk times, or in the surgery department.

BackgroundThe management of medical devices is crucial to safe, high-quality surgical care, but has received little attention in the medical literature. This study explored the effect of a sub-specialties management model in the Central Sterile Supply Department (CSSD).MethodsA traditional routine management model (control) was applied from September 2015 through April 2016, and a newly developed sub-specialties management model (observation) was applied from July 2016 through February 2017. Health personnel from various clinical departments were randomly selected to participate as the control (n = 86) and observation (n = 90) groups, respectively. The groups were compared for rates of personnel satisfaction, complaints regarding device errors, and damage of medical devices.ResultsThe satisfaction score of the observation group (95.8 ± 1.2) was significantly higher than that of the control (90.2 ± 2.3; P = 0.000). The rate of complaints of the observation group (3.3%) was significantly lower than that of the control (11.6%; P = 0.035). The quality control regarding recycle and packing was significantly higher during the observation period than the control period, which favorably influenced the scores for satisfaction. The rate of damage to specialist medical devices during the observation period (0.40%) was lower than during the control period (0.61%; P = 0.003). The theoretical knowledge and practical skills of the CSSD professionals improved after application of the sub-specialties management model.ConclusionsA management model that considers the requirements of specialist medical devices can improve quality control in the CSSD.

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Background Laparoscopic cholecystectomy (LC) is the standard treatment for acute cholecystitis (AC), and it should be performed within 72 h of symptoms onset if possible. In many undesired situations, LC was performed beyond the golden 72 h. However, the safety and feasibility of prolonged LC (i.e., performed more than 72 h after symptoms onset) are largely unknown, and therefore were investigated in this study. Methods We retrospectively enrolled the adult patients who were diagnosed as AC and were treated with LC at the same admission between January 2015 and October 2018 in an emergency department of a tertiary academic medical center in China. The primary outcome was the rate and severity of adverse events, while the secondary outcomes were length of hospital stay and costs. Results Among the 104 qualified patients, 70 (67.3%) underwent prolonged LC and 34 (32.7%) underwent early LC (< 72 h of symptom onset). There were no differences between the two groups in mortality rate (none for both), conversion rates (prolonged LC 5.4%, and early LC 8.8%, P = 0.68), intraoperative and postoperative complications (prolonged LC 5.7% and early LC 2.9%, P ≥ 0.99), operation time (prolonged LC 193.5 min and early LC 198.0 min, P = 0.81), and operation costs (prolonged LC 8,700 Yuan, and early LC 8,500 Yuan, P = 0.86). However, the prolonged LC was associated with longer postoperative hospitalization (7.0 days versus 6.0 days, P = 0.03), longer total hospital stay (11.0 days versus 8.0 days, P < 0.01), and subsequently higher total costs (40,400 Yuan versus 31,100 Yuan, P < 0.01). Conclusions Prolonged LC is safe and feasible for patients with AC for having similar rates and severity of adverse events as early LC, but it is also associated with longer hospital stay and subsequently higher total cost.