The economic cost of not coding disease-related malnutrition: A study in cancer inpatients.

BACKGROUND & AIMS: Disease-related malnutrition (DRM) coding rate is usually low in hospitalised patients. The objective of our study was to estimate the percentage of correct DRM coding in cancer inpatients and to calculate the economic losses caused by such lack of coding. METHODS: This was an observational, prospective study that was conducted in patients hospitalised in the Medical Oncology Unit of our hospital. A nutritional assessment was performed through subjective global assessment (SGA). The all patient refined-diagnosis related group (APR-DRG) weights were obtained at the moment of discharge; moreover, recalculation was done after including the diagnosis of malnutrition in the medical record of those patients in whom it had not been initially coded. The associated cost reimbursement were calculated based on the weight before and after revising the diagnosis of DRM. RESULTS: A total of 266 patients were evaluated. From them, 220 (82.7%) suffered from DRM according to the SGA. In 137 (51.5%) of these patients, diagnosis was coded, as opposed to 83 (31.2%) cases (33 subjects with moderate and 50 with severe DRM) in whom it was not coded. The sum of the APR-DRG weights before revising the diagnosis of malnutrition was 343.4 points (mean: 1.29 ± 0.89). Whereas, after revising the diagnosis, it increased up to 384.3 (1.44 ± 0.96). The total cost reimbursement for the hospital before revising the diagnosis of malnutrition was 1,607,861.21€ and after revision it increased up to 1,799,199.69€, which means that 191,338.48€ were not reimbursed to the hospital due to the lack of coding of malnutrition. The cost reimbursement for each admission increased an average of 719.32€. CONCLUSION: The prevalence of DRM in cancer inpatients is high. Nevertheless, the diagnosis is not coded in one third of patients, which results in important economic losses for the hospitals.

Funding and Billing for Integrated Behavioral Health Care.

Integrated behavioral health care (IBHC) improves patient outcomes, decreases cost, and increases patient satisfaction. It has become increasingly evident that IBHC must be incorporated into the US health care system. Although most health care providers agree that IBHC is beneficial, there is great debate regarding financial sustainability. Some studies have shown that incorporating BHCs into primary care clinics allows providers to see more patients, thus generating more revenue indirectly. In this article, the authors discuss funding and billing for IBHC. The authors truly believe that once properly implemented, IBHC will lower costs and improve patient care in the long run.

Billing, coding, and practice management: a primer for today's reproductive medicine professional.

Despite years of recognition that many physicians are woefully unprepared to face challenges regarding the business of medicine, marginal progress has been made. In this piece, we aim to provide the contemporary reproductive medicine physician with an understanding of billing, coding, and, most importantly, cost containment for a typical fertility practice. It is critical for modern practices to not forego hard-earned revenue to insurance companies or not be aware of critical rules and regulations. While running a successful fertility practice requires good medical care, a profitable practice is necessary for overall long-term success. This article provides a brief history of medical insurance and billing, explains the process of updating billing codes, and reviews the revenue cycle, cost containment, and contract negotiations with insurance companies.

Coding for Malnutrition in the Hospital: Does It Change Reimbursement?

Protein calorie malnutrition (PCM) is prevalent in the acute care setting, affecting up to 50% of hospitalized patients. PCM is associated with poor outcomes, including increased hospital and intensive care unit length of stay, hospital readmission rates, incidence of pressure injuries and nosocomial infections, and mortality. PCM is a financial burden on the healthcare system through direct costs related to treatment as well as indirect costs related to poorer outcomes and complications. Medical coding for malnutrition after a patient's hospital stay is poorly representative of the actual prevalence of malnutrition, as only a small percentage of these hospital stays are coded for PCM. Improvements in identification and coding of malnutrition can result in significant increases in hospital reimbursement, which can in part help defray increased costs associated with the condition.

How accurate are we? A comparison of resident and staff physician billing knowledge and exposure to billing education during residency training

Background: Practice management is an overlooked and undertaught subject in medical education. Many physicians feel that their exposure to billing education during residency training was inadequate. The purpose of this study was to compare resident and staff physicians in terms of their billing knowledge and exposure to billing education during residency training. Methods: Senior residents and staff physicians completed a scenario-based clinical billing assessment. Posttest surveys were completed to determine exposure to practice management and billing education during training. Results: A total of 16 resident physicians and 17 staff physicians completed the billing assessment. Overall, the billing accuracy of respondents was poor. Staff physicians had a greater percentage of correct billing codes (55.3% v. 37.5%, p < 0.001) and underbilled codes (6.2% v. 3.4%, p = 0.009), with fewer missed billing codes (38.5% v. 59.1%, p < 0.001), compared with resident physicians. The percentage value of correct billings was significantly higher for staff physicians (71.5% v. 56.8%, p = 0.01). In the posttest survey, 100.0% of residents and 79.0% of staff physicians desired more billing education during training. Conclusion: In general, staff physicians billed more accurately than resident physicians, but even experienced staff physicians missed a substantial amount of potential revenue because of billing errors and omissions. The majority of the residents and staff physicians who participated in our study felt that current billing education is both insufficient and ineffective. Incorporating practice management and billing education into residency training is critical to ensure that the next generation of medical trainees possess the financial competence to required to manage a successful medical practice.

Contexte: La gestion médicale est un sujet souvent oublié et trop peu enseigné durant les études de médecine. Beaucoup de médecins ont l'impression que la formation sur la facturation offerte durant leur résidence était insuffisante. L'objectif de cette étude était de comparer les connaissances sur la facturation et l'exposition, durant la résidence, à la formation sur ce sujet des résidents et des médecins membres du personnel. Méthodes: Les résidents seniors et les médecins membres du personnel ont effectué une évaluation de facturation clinique à partir de mises en situation. Ils ont répondu à un sondage après le test pour déterminer leur exposition à la formation sur la gestion médicale et la facturation durant leurs études. Résultats: Au total, 16 médecins résidents et 17 médecins membres du personnel ont fait l'évaluation de facturation. Dans l'ensemble, l'exactitude de leur facturation était faible. Les médecins membres du personnel avaient un pourcentage plus élevé de codes de facturation corrects (55,3 % contre 37,5 %, p < 0,001) et de codes de facturation insuffisants (6,2 % contre 3,4 %, p = 0,009), et avaient moins de codes manquants (38,5 % contre 59,1 %, p < 0,001), comparativement aux médecins résidents. Le pourcentage de facturations correctes était significativement plus élevé chez les médecins membres du personnel (71,5 % contre 56,8 %, p = 0,01). Dans le sondage post-test, 100,0 % des résidents et 79,0 % des médecins membres du personnel désiraient avoir davantage de formation sur la facturation durant les études. Conclusion: En général, les médecins membres du personnel ont produit des factures plus exactes que les médecins résidents, mais même des médecins membres du personnel expérimentés ont perdu des revenus potentiels considérables en raison d'erreurs de facturation et d'omissions. La majorité des résidents et des médecins membres du personnel qui ont participé à l'étude avaient l'impression que la formation actuelle sur la facturation était à la fois insuffisante et inefficace. Il est essentiel d'intégrer la formation sur la gestion médicale et la facturation dans la résidence pour garantir que la prochaine génération de futurs médecins possède les compétences financières nécessaires pour gérer un cabinet prospère.

Clinical coding and data quality in oculoplastic procedures.

INTRODUCTION: Hospitals in England are reimbursed via national tariffs set out by NHS England. The tariffs payable to hospitals are determined by the activity coded for each patient's hospital visit. There are no national standards or publications within oculoplastics for coding accuracy. Our audit aimed to determine the accuracy of coding oculoplastic procedures carried out in theatres and to assess the financial implications of any discrepancies. METHODS: We carried out a prospective audit of consecutive oculoplastic procedures performed at one hospital site over a 6-week period. We subsequently created a coding proforma and performed a re-audit using the same methods. RESULTS: In the first cycle, clinical coding was 'correct' in 30.7% of cases, 'incomplete' for 12.9% and 'incorrect' for 56.5%. Of the 'incorrect' codes, 54.3% were coded as non-oculoplastic procedures (e.g. extraocular muscle surgery). We discussed our findings with the coding team in order to address the sources of error. We also created a 'tick box' coding proforma, for completion by surgeons. Our re-audit results showed an improvement of 'correct' coding to 85.7%. CONCLUSION: Clinical coding is complex and vulnerable to inaccuracy. Our audit showed a high rate of coding error, which improved following collaboration with our coding team to address the sources of error and by creating a coding proforma to improve accuracy. Accurate clinical coding has financial implications for hospital trusts and consequently Clinical Commissioning Groups. In times of severe financial pressures, this could be a valuable tool, if rolled out over all specialities, to make much needed savings.

Variations in Medicaid Payment Rates for Radiation Oncology.

PURPOSE: Interstate variations in Medicaid reimbursements can be significant, and patients who live in states with low Medicaid reimbursements tend to have worse access to care. This analysis describes the extent of variations in Medicaid reimbursements for radiation oncology services across the United States. METHODS AND MATERIALS: The Current Procedural Terminology codes billed for a course of whole breast radiation were identified for this study. Publicly available fee schedules were queried for all 50 states and Washington, DC, to determine the reimbursement for each service and the total reimbursement for the entire episode of care. The degree of interstate payment variation was quantified by computing the range, mean, standard deviation, and coefficient of variation. The cost of care for the entire episode of treatment was compared to the publicly available Kaiser Family Foundation (KFF) Medicaid-to-Medicare fee index to determine if the pattern of payment variation in medical services generally is predictive of the variation seen in radiation oncology specifically. RESULTS: Data were available for 48 states and Washington, DC. The total episode reimbursement (excluding image guidance for respiratory tracking) varied from $2945 to $15,218 (mean, $7233; standard deviation, $2248 or 31%). The correlation coefficient of the KFF index to the calculated entire episode of care for each state was 0.55. CONCLUSIONS: There is considerable variability in coverage and payments rates for radiation oncology services under Medicaid, and these variations track modestly with broader medical fees based on the KFF index. These variations may have implications for access to radiation oncology services that warrant further study.

Prospective payment systems and discretionary coding-Evidence from English mental health providers.

Reimbursement of English mental health hospitals is moving away from block contracts and towards activity and outcome-based payments. Under the new model, patients are categorised into 20 groups with similar levels of need, called clusters, to which prices may be assigned prospectively. Clinicians, who make clustering decisions, have substantial discretion and can, in principle, directly influence the level of reimbursement the hospital receives. This may create incentives for upcoding. Clinicians are supported in their allocation decision by a clinical clustering algorithm, the Mental Health Clustering Tool, which provides an external reference against which clustering behaviour can be benchmarked. The aims of this study are to investigate the degree of mismatch between predicted and actual clustering and to test whether there are systematic differences amongst providers in their clustering behaviour. We use administrative data for all mental health patients in England who were clustered for the first time during the financial year 2014/15 and estimate multinomial multilevel models of over, under, or matching clustering. Results suggest that hospitals vary systematically in their probability of mismatch but this variation is not consistently associated with observed hospital characteristics.

Billing by residents and attending physicians in family medicine: the effects of the provider, patient, and visit factors.

BACKGROUND: Medical billing and coding are critical components of residency programs since they determine the revenues and vitality of residencies. It has been suggested that residents are less likely to bill higher evaluation and management (E/M) codes compared with attending physicians. The purpose of this study is to assess the variation in billing patterns between residents and attending physicians, considering provider, patient, and visit characteristics. METHOD: A retrospective cohort study of all established outpatient visits at a family medicine residency clinic over a 5-year period was performed. We employed the logistic regression methodology to identify residents' and attending physicians' variations in coding E/M service levels. We also employed Poisson regression to test the sensitivity of our result. RESULTS: Between January 5, 2009 and September 25, 2015, 98,601 visits to 116 residents and 18 attending physicians were reviewed. After adjusting for provider, patient, and visit characteristics, residents billed higher E/M codes less often compared with attending physicians for comparable visits. In comparison with attending physicians, the odds ratios for billing higher E/M codes were 0.58 (p = 0.01), 0.56 (p = 0.01), and 0.63 (p = 0.01) for the third, second, and first years of postgraduate training, respectively. In addition to the main factors of patient age, medical conditions, and number of addressed problems, the gender of the provider was also implicated in the billing variations. CONCLUSION: Residents are less likely to bill higher E/M codes than attending physicians are for similar visits. While these variations are known to contribute to lost revenues, further studies are required to explore their effect on patient care in relation to attendings' direct involvement in higher E/M-coded versus their indirect involvement in lower E/M-coded visits.

Coding in surgery: impact of a specialized coding proforma in hepato-pancreato-biliary surgery.

BACKGROUND: Coding inaccuracies in surgery misrepresent the productivity of hospitals and outcome data of surgeons. The aim of this study was to audit the extent of coding inaccuracies in hepato-pancreato-biliary (HPB) surgery and assess the financial impact of introducing a coding proforma. METHODS: Coding of patients who underwent elective HPB surgery over a 3-month period was audited. Codes were based on International Classification of Diseases 10 and Office of Population and Census Surveys-4 codes. A coding proforma was introduced and assessed. New human resource group codes were re-assigned and new tariffs calculated. A cost analysis was also performed. RESULTS: Prior to the introduction of the coding proforma, 42.0% of patients had the incorrect diagnosis and 48.5% had missing co-morbidities. In addition, 14.5% of primary procedures were incorrect and 37.6% had additional procedures that were not coded for at all. Following the introduction of the coding proforma, there was a 27.5% improvement in the accuracy of primary diagnosis (P < 0.001) and 21% improvement in co-morbidities (P = 0.002). There was a 7.2% improvement in the accuracy of coding primary procedures (P = not significant) and a 21% improvement in the accuracy of coding of additional procedures (P < 0.001). Financial loss as a result of coding inaccuracy over our 3-month study period was £56 073 with an estimated annual loss of £228 292. CONCLUSION: Coding in HPB surgery is prone to coding inaccuracies due to the complex nature of HPB surgery and the patient case-mix. A specialized coding proforma completed 'in theatre' significantly improves the accuracy of coding and prevents loss of income.

Economic incentives and diagnostic coding in a public health care system.

We analysed the association between economic incentives and diagnostic coding practice in the Norwegian public health care system. Data included 3,180,578 hospital discharges in Norway covering the period 1999-2008. For reimbursement purposes, all discharges are grouped in diagnosis-related groups (DRGs). We examined pairs of DRGs where the addition of one or more specific diagnoses places the patient in a complicated rather than an uncomplicated group, yielding higher reimbursement. The economic incentive was measured as the potential gain in income by coding a patient as complicated, and we analysed the association between this gain and the share of complicated discharges within the DRG pairs. Using multilevel linear regression modelling, we estimated both differences between hospitals for each DRG pair and changes within hospitals for each DRG pair over time. Over the whole period, a one-DRG-point difference in price was associated with an increased share of complicated discharges of 14.2 (95 % confidence interval [CI] 11.2-17.2) percentage points. However, a one-DRG-point change in prices between years was only associated with a 0.4 (95 % CI [Formula: see text] to 1.8) percentage point change of discharges into the most complicated diagnostic category. Although there was a strong increase in complicated discharges over time, this was not as closely related to price changes as expected.

Improving accuracy of clinical coding in surgery: collaboration is key.

BACKGROUND: Clinical coding data provide the basis for Hospital Episode Statistics and Healthcare Resource Group codes. High accuracy of this information is required for payment by results, allocation of health and research resources, and public health data and planning. We sought to identify the level of accuracy of clinical coding in general surgical admissions across hospitals in the Northwest of England. METHOD: Clinical coding departments identified a total of 208 emergency general surgical patients discharged between 1st March and 15th August 2013 from seven hospital trusts (median = 20, range = 16-60). Blinded re-coding was performed by a senior clinical coder and clinician, with results compared with the original coding outcome. Recorded codes were generated from OPCS-4 & ICD-10. RESULTS: Of all cases, 194 of 208 (93.3%) had at least one coding error and 9 of 208 (4.3%) had errors in both primary diagnosis and primary procedure. Errors were found in 64 of 208 (30.8%) of primary diagnoses and 30 of 137 (21.9%) of primary procedure codes. Median tariff using original codes was £1411.50 (range, £409-9138). Re-calculation using updated clinical codes showed a median tariff of £1387.50, P = 0.997 (range, £406-10,102). The most frequent reasons for incorrect coding were "coder error" and a requirement for "clinical interpretation of notes". CONCLUSIONS: Errors in clinical coding are multifactorial and have significant impact on primary diagnosis, potentially affecting the accuracy of Hospital Episode Statistics data and in turn the allocation of health care resources and public health planning. As we move toward surgeon specific outcomes, surgeons should increase collaboration with coding departments to ensure the system is robust.