Day Admission Surgery Program in a Prospective Payment System: What Are the Financial Incentives?

Background: Day admission surgery (DAS) is meant to provide a better in-hospital experience for patients and to save costs by reducing the length of stay. However, in a prospective payment system, it may also reduce the reimbursement amount, leading to unintended incentives for hospitals. Methods: Over a 4-month period in 2021 and based on predefined clinical and logistic criteria, patients from different surgical sub-specialties were identified to follow the institutional DAS program. Revenue-analysis was performed, considering the Swiss diagnosis-related group (SwissDRG) prospective payment policy. Revenue with DAS program was compared to revenue if patients were admitted the day prior surgery (No DAS) using nonparametric pooled bootstrap t-test. All other costs considered identical, an estimation of the average cost spared due to the avoidance of pre-operative hospitalization in the DAS setting was carried out using a micro-costing approach. Results: Overall, 105 inpatients underwent DAS over the study period, totaling a revenue of CHF 1 209 840. Among them, 25 patients (24%) were low outliers due to the day spared from the DAS program and triggering a mean (SD) financial discount of Swiss Francs (CHF) 4192 (2835), yielding a total amount of CHF 105 435. DAS revealed a mean revenue of CHF 7320 (656), compared to CHF 11 510 (1108) if patients were admitted the day before surgery (No DAS, P = .007). Conclusion: In a PPS, anticipation of financial penalties when implementing a DAS for all-comers is key to prevent an imbalance of the hospital equation if no financial criteria are used to select eligible patients. Promptly revising workflow to maintain constant fixed costs for a greater number of patients may be a valuable hedging strategy.

Performance of three predictive scores to avoid delayed diagnosis of significant blunt bowel and mesenteric injury: A 12-year retrospective cohort study.

BACKGROUND: Avoiding missed diagnosis and therapeutic delay for significant blunt bowel and mesenteric injuries (sBBMIs) after trauma is still challenging despite the widespread use of computed tomography (CT). Several scoring tools aiming at reducing this risk have been published. The purpose of the present work was to assess the incidence of delayed (>24 hours) diagnosis for sBBMI patients and to compare the predictive performance of three previously published scores using clinical, radiological, and laboratory findings: the Bowel Injury Prediction Score (BIPS) and the scores developed by Raharimanantsoa Score (RS) and by Faget Score (FS). METHODS: A population-based retrospective observational cohort study was conducted; it included adult trauma patients after road traffic crashes admitted to Lausanne University Hospital, Switzerland, between 2008 and 2019 (n = 1,258) with reliable information about sBBMI status (n = 1,164) and for whom all items for score calculation were available (n = 917). The three scores were retrospectively applied on all patients to assess their predictive performance. RESULTS: The incidence of sBBMI after road traffic crash was 3.3% (38 of 1,164), and in 18% (7 of 38), there was a diagnostic and treatment delay of more than 24 hours. The diagnostic performances of the FS, the RS, and the BIPS to predict sBBMI, expressed as the area under the receiver operating characteristic curve, were 95.3% (95% confidence interval [CI], 92.7-97.9%), 89.2% (95% CI, 83.2-95.3%), and 87.6% (95% CI, 81.8-93.3%) respectively. CONCLUSION: The present study confirms that diagnostic delays for sBBMI still occur despite the widespread use of abdominal CT. When CT findings during the initial assessment are negative or equivocal for sBBMI, using a score may be helpful to select patients for early diagnostic laparoscopy. The FS had the best individual diagnostic performance. However, the BIPS or the RS, relying on clinical and laboratory variables, may be helpful to select patients for early diagnostic laparoscopy when there are unspecific CT signs of bowel or mesenteric injury. LEVEL OF EVIDENCE: Prognostic and Epidemiological; Level III.

The Enhanced Recovery After Surgery protocol for the perioperative management of pituitary neuroendocrine tumors/pituitary adenomas.

OBJECTIVE: Enhanced Recovery After Surgery (ERAS) is a multimodal perioperative care pathway that has radically modified the management of patients in multiple surgical specialties. Until now, no ERAS Society guidelines have been formulated for the management of cranial pathologies. During the process of ERAS certification for their neurosurgical department, the authors formulated an ERAS protocol for the perioperative care of patients with pituitary neuroendocrine tumors (PitNET), along with a compliance checklist to monitor the adherence to it and its feasibility. The authors describe the protocol and checklist and report the results, including a cost-minimization analysis, with the application of the ERAS philosophy. METHODS: The steps that led to the development of this ERAS protocol, including items concerning the preoperative, intraoperative, and postoperative period, are detailed. The authors report their preliminary results through the comparison of the care practice of a historical cohort with a consecutive surgical cohort of patients with PitNET who underwent operation after the implementation of this ERAS protocol. A compliance checklist with key performance indicators was useful to monitor the adherence to the protocol and the changes in the perioperative management. RESULTS: Following the introduction of this ERAS protocol, the authors significantly shortened the duration of the antibiotic therapy (p < 0.00001) and increased the use of mechanical (p < 0.00001) and pharmacological measures to prevent deep venous thrombosis (p = 0.002). The median length of hospital stay was significantly shorter for the ERAS group (p = 0.00014), and there was no increase in readmission rate or postoperative complications. The documentation and data tracking strongly improved in the ERAS cohort and the authors were more attentive in pain evaluation (p = 0.001), postoperative hormonal supplementation (p = 0.001) and early feeding and mobilization (p = 0.0008 and p < 0.00001, respectively). More patients were discharged on day 3 after surgery in the ERAS group (p < 0.00001). The compliance to the whole process increased from 64.2% to 89.5% (p = 0.016), and the compliance per patient was also found to have significantly increased (p < 0.00001). CONCLUSIONS: The introduction of a standardized ERAS protocol for the perioperative management of patients with PitNET allowed the authors to improve the multidisciplinary management of these patients. With the application of simple cost-effective interventions and with the avoidance of unnecessary measures, gains were made in terms of early mobilization and feeding, thereby resulting in a shorter in-hospital stay.

The Enhanced Recovery After Surgery protocol for the surgical management of craniosynostosis: Lausanne experience.

OBJECTIVE: Over the past decade, the Enhanced Recovery After Surgery (ERAS) program has demonstrated its effectiveness and efficiency in improving postoperative care and enhancing recovery across various surgical fields. Preliminary results of ERAS protocol implementation in craniosynostosis surgery are presented. METHODS: An ERAS protocol was developed and implemented for cranial pediatric neurosurgery, focusing on craniosynostosis repair. The study incorporated a pre-ERAS group consisting of a consecutive series of patients who underwent craniosynostosis repair surgery prior to the implementation of the ERAS protocol; the results were compared with a consecutive group of patients who had been prospectively collected since the introduction of the ERAS for craniosynostosis protocol. The safety, feasibility, and efficiency of the ERAS protocol in pediatric neurosurgery was evaluated, through the collection of clinical data from the pre-, intra-, and postoperative phase. Surgery-related complications were evaluated according to the Clavien-Dindo classification. Costs of the stays were obtained using a microcosting approach. RESULTS: A total of 35 pre-ERAS patients and 10 ERAS patients were included. Scaphocephaly was the most common pathology in both groups. The overall compliance with the pre-, intra-, and postoperative criteria significantly increased-from 35.5%, 64.4%, and 54.7%, respectively, in each phase to 94%, 90%, and 84% (p < 0.001). The authors noticed a reduction in the average opioid dose used per patient in the ERAS group (p = 0.004), and they observed a trend toward a decreased mean length of stay from 5.2 days in the pre-ERAS group to 4.6 days in the ERAS group, without an increase of the rate of readmission within 30 days of surgery. The rate of complications decreased but this difference was not statistically significant. The hospital costs lowered significantly: from 21,958 Confederatio Helvetica Francs (CHF) in the pre-ERAS group to 18,936 CHF in the ERAS group (p = 0.02). CONCLUSIONS: The ERAS protocol represents a safe and cost-effective tool for the perioperative management of craniosynostosis. It showed its positive impact on the analgesia provided and on the reduction of in-hospital costs for these patients. ERAS protocols may thus be interesting options in the pediatric neurosurgical field.

Complementary and Integrative Medicine: a plea for a better resource allocation by the SwissDRG grouping algorithm.

No abstract available.

An End-to-End Natural Language Processing Application for Prediction of Medical Case Coding Complexity: Algorithm Development and Validation.

BACKGROUND: Medical coding is the process that converts clinical documentation into standard medical codes. Codes are used for several key purposes in a hospital (eg, insurance reimbursement and performance analysis); therefore, their optimization is crucial. With the rapid growth of natural language processing technologies, several solutions based on artificial intelligence have been proposed to aid in medical coding by automatically suggesting relevant codes for clinical documents. However, their effectiveness is still limited to simple cases, and it is not yet clear how much value they can bring in improving coding efficiency and accuracy. OBJECTIVE: This study aimed to bring more efficiency to the coding process to improve the selection of codes by medical coders. To achieve this, we developed an innovative multimodal machine learning-based solution that, instead of predicting codes, detects the degree of coding complexity before coding is performed. The notion of coding complexity was used to better dispatch work among medical coders to eventually minimize errors and improve throughput. METHODS: To train and evaluate our approach, we collected 2060 cases rated by coders in terms of coding complexity from 1 (simplest) to 4 (most complex). We asked 2 expert coders to rate 3.01% (62/2060) of the cases as the gold standard. The agreements between experts were used as benchmarks for model evaluation. A case contains both clinical text and patient metadata from the hospital electronic health record. We extracted both text features and metadata features, then concatenated and fed them into several machine learning models. Finally, we selected 2 models. The first used cross-validated training on 1751 cases and testing on 309 cases aiming to assess the predictive power of the proposed approach and its generalizability. The second model was trained on 1998 cases and tested on the gold standard to validate the best model performance against human benchmarks. RESULTS: Our first model achieved a macro-F1-score of 0.51 and an accuracy of 0.59 on classifying the 4-scale complexity. The model distinguished well between the simple (combined complexity 1-2) and complex (combined complexity 3-4) cases with a macro-F1-score of 0.65 and an accuracy of 0.71. Our second model achieved 61% agreement with experts' ratings and a macro-F1-score of 0.62 on the gold standard, whereas the 2 experts had a 66% (41/62) agreement ratio with a macro-F1-score of 0.67. CONCLUSIONS: We propose a multimodal machine learning approach that leverages information from both clinical text and patient metadata to predict the complexity of coding a case in the precoding phase. By integrating this model into the hospital coding system, distribution of cases among coders can be done automatically with performance comparable with that of human expert coders, thus improving coding efficiency and accuracy at scale.

Impact of Variations in the Nursing Care Supply-Demand Ratio on Postoperative Outcomes and Costs.

INTRODUCTION: Improving surgical outcomes is a priority during the last decades because of the rising economic health care burden. The adoption of enhanced recovery programs has been proven to be part of the solution. In this context, the impact of variations in the nursing care supply-demand ratio on postoperative complications and its economic consequences is still not well elucidated. Because patients require different amounts of care, the present study focused on the more accurate relationship between demand and supply of nursing care rather than the nurse-to-patient ratio. METHODS: Through a 3-year period, 838 patients undergoing elective and emergent colorectal and pancreatic surgery within the institutional enhanced recovery after surgery (ERAS) protocol were retrospectively investigated. Nursing demand and supply estimations were calculated using a validated program called the Projet de Recherche en Nursing (PRN), which assigns points to each patient according to the nursing care they need ( estimated PRN) and the actual care they received ( real PRN), respectively. The real/estimated PRN ratio was used to create 2 patient groups: one with a PRN ratio higher than the mean (PRN+) and a second with a PRN ratio below the mean (PRN-). These 2 groups were compared regarding their postoperative complication rates and cost-revenue characteristics. RESULTS: The mean PRN ratio was 0.81. A total of 710 patients (84.7%) had a PRN+ ratio, and 128 (15.3%) had a PRN- ratio. Multivariable analysis focusing on overall complications, severe complications, and prolonged length of stay revealed no significant impact of the PRN ratio for all outcomes ( P > 0.2). The group PRN- had a mean margin per patient of U.S. dollars 1426 (95% confidence interval, 3 to 2903) compared with a margin of U.S. dollars 676 (95% confidence interval, -2213 to 3550) in the PRN+ group ( P = 0.633). CONCLUSIONS: A PRN ratio of 0.8 may be sufficient for patients treated following enhanced recovery after surgery guidelines, pending the adoption of an accurate nursing planning system. This may contribute to better allocation of nursing resources and optimization of expenses on the long run.

Significant blunt bowel and mesenteric injury - Comparison of two CT scoring systems in a trauma registry cohort.

PURPOSE: This study evaluated and compared two imaging-based scoring systems for the detection of significant blunt bowel and mesenteric injury (sBBMI) by emergency computed tomography (CT). METHODS AND MATERIALS: We included all consecutive adult polytrauma patients admitted to our emergency department following a road traffic accident from January 2008 to June 2015, provided that intravenously contrast-enhanced whole-body CT examination was performed immediately after hospital admission. Two radiologists, blinded to patients' outcome, reviewed the CT examinations for distinctive direct intestinal or mesenteric vascular injury and indirect signs of abdominal injury. These findings were correlated with the patients' surgical or interventional radiology findings, autopsy, or clinical follow-up (>24 h). Two previously validated imaging-based bowel-injury scoring systems, the CT-based Faget score and the clinically and radiologically based Mc Nutt score (BIPS), were compared by applying each to our trauma cohort. Student t-test, chi-squared, and logistic regression were used in analyses. RESULTS: Twenty-one of 752 analysed patients (2.8 %) had confirmed sBBMI. Active mesenteric bleeding, mesenteric and free pneumoperitoneum, small haemoperitoneum, non-focal bowel wall thickening, mesenteric/pericolic fat stranding, and anterior abdominal wall injury were significantly correlated with sBBMI, as did the two evaluated scoring systems (p < 0.001). However, multivariate logistic regression revealed the superiority of the Faget score to the McNutt score. CONCLUSION: The prevalence of sBBMI among polytrauma patients is low. Early diagnosis is necessary to avoid increased mortality. Certain CT features are pathognomic of sBBMI and must not be overlooked. Scoring systems are helpful, especially when they are based on radiological signs.

Assessment of Avoidable Readmissions in a Visceral Surgery Department with an Algorithm: Methodology, Analysis and Measures for Improvement.

BACKGROUND: Standardized quality indicators assessing avoidable readmission become increasingly important in health care. They can identify improvements area and contribute to enhance the care delivered. However, the way of using them in practice was rarely described. METHODS: Retrospective study uses prospective inpatients' information. Thirty-day readmissions were deemed potentially avoidable or non-avoidable by a computerized algorithm, and annual rate was reported between 2010 and 2014. Observed rate was compared to expected rate, and medical record review of potentially avoidable readmissions was conducted on data between January and June 2014. RESULTS: During a period of ten semesters, 11,011 stays were screened by the algorithm and a potentially avoidable readmission rate (PAR) of 7% was measured. Despite stable expected rate of 5 ± 0.5%, an increase was noted concerning the observed rate since 2012, with a highest value of 9.4% during the first semester 2014. Medical chart review assessed the 109 patients screened positive for PAR during this period and measured a real rate of 7.8%. The delta was in part due to an underestimated case mix owing to sub-coded comorbidities and not to health care issue. CONCLUSIONS: The present study suggests a methodology for practical use of data, allowing a validated quality of care indicator. The trend of the observed PAR rate showed a clear increase, while the expected PAR rate was stable. The analysis emphasized the importance of adequate "coding chain" when such an algorithm is applied. Moreover, additional medical chart review is needed when results deviate from the norm.

Avoiding delayed diagnosis of significant blunt bowel and mesenteric injuries: Can a scoring tool make the difference? A 7-year retrospective cohort study.

INTRODUCTION: Significant blunt bowel and mesenteric injuries (sBBMI) are frequently missed despite the widespread use of computed tomography (CT). Early treatment improves the outcome related to these injuries. The aim of this study was to assess the prevalence of sBBMI, the incidence of delayed diagnosis and to test the performance of the Bowel Injury Prediction Score (BIPS), determined by the white blood cell (WBC) count, presence or absence of abdominal tenderness and CT grade of mesenteric injury. PATIENTS AND METHODS: Single-centre, registry-based retrospective cohort study, screening all consecutive trauma patients admitted to Lausanne University Hospital Trauma Centre from 2008 to 2015 after a road traffic accident. All patients with reliable information about the presence or absence of sBBMI who underwent abdominal CT and for whom calculation of the BIPS was possible were included for analysis. The incidence of delayed (>24h after admission) diagnosis in the patient group with sBBMI was determined and the diagnostic performance of the BIPS for sBBMI was assessed. RESULTS: For analysis, 766 patients with reliable information about the presence or absence of sBBMI were included. The prevalence of sBBMI was 3.1% (24/766). In 24% (5/21) of stable trauma patients undergoing CT, a diagnostic delay of more than 24h occurred. Abdominal tenderness (p<0.0001) and CT grade ≥4 (p<0.0001) were associated with sBBMI, whereas CT grade 4 alone (p=0.93) and WBC count ≥17G/l (p=0.30) were not. A BIPS ≥2 had a sensitivity of 89% (95% CI, 67-99), specificity of 89% (95% CI, 86-91), positive likelihood ratio of 8 (95% CI, 6.1-10), negative likelihood ratio of 0.12 (95% CI, 0.03-0.44), positive predictive value (PPV) of 19% (95% CI, 15-24) and negative predictive value (NPV) of 99.7% (95% CI, 98.7-99.9). CT alone identified 79% (15/19) and the BIPS 89% (17/19) of patients with sBBMI (p=0.66). CONCLUSIONS: Diagnostic delays in patients with sBBMI are common (24%), despite the routine use of abdominal CT. Application of the BIPS on the present cohort would have led to a high number of non-therapeutic abdominal explorations without identifying significantly more sBBMI early than CT alone.

Association of pelvic fracture patterns, pelvic binder use and arterial angio-embolization with transfusion requirements and mortality rates; a 7-year retrospective cohort study.

BACKGROUND: Pelvic fractures are severe injuries with frequently associated multi-system trauma and a high mortality rate. The value of the pelvic fracture pattern for predicting transfusion requirements and mortality is not entirely clear. To address hemorrhage from pelvic injuries, the early application of pelvic binders is now recommended and arterial angio-embolization is widely used for controlling arterial bleeding. Our aim was to assess the association of the pelvic fracture pattern according to the Tile classification system with transfusion requirements and mortality rates, and to evaluate the correlation between the use of pelvic binders and arterial angio-embolization and the mortality of patients with pelvic fractures. METHODS: Single-center retrospective cohort study including all consecutive patients with a pelvic fracture from January 2008 to June 2015. All radiological fracture patterns were independently reviewed and grouped according to the Tile classification system. Data on patient demographics, use of pelvic binders and arterial angio-embolization, transfusion requirements and mortality were extracted from the institutional trauma registry and analyzed. RESULTS: The present study included 228 patients. Median patient age was 43.5 years and 68.9% were male. The two independent observers identified 105 Tile C (46.1%), 71 Tile B (31.1%) and 52 Tile A (22.8%) fractures, with substantial to almost perfect interobserver agreement (Kappa 0.70-0.83). Tile C fractures were associated with a higher mortality rate (p = 0.001) and higher transfusion requirements (p < 0.0001) than Tile A or B fractures. Arterial angio-embolization for pelvic bleeding (p = 0.05) and prehospital pelvic binder placement (p = 0.5) were not associated with differences in mortality rates. CONCLUSIONS: Tile C pelvic fractures are associated with higher transfusion requirements and a higher mortality rate than Tile A or B fractures. No association between the use of pelvic binders or arterial angio-embolization and survival was observed in this cohort of patients with pelvic fractures.