Accuracy Of Code Research Articles

Coolability of a Corium Pool in a Debris Bed: Impact of Debris Size, Steam, and Liquid Flow Rate; Tilting Angle; and Pressure on Critical Heat Flux—First Numerical Evaluations

In case of a severe accident in a light water reactor, a debris bed may form in the core and possibly melt, as happened in Three Mile Island Unit 2. Knowledge about the coolability of such a molten pool surrounded by debris is crucial to investigate the possibility of stabilizing a part of the fuel inside the vessel. In particular, it is of primary interest to determine the maximum size of a molten pool surrounded by debris that may be stabilized under water. A key parameter is the maximum heat flux [critical heat flux (CHF)] that may be extracted from the pool boundary by water flowing within the debris bed. A facility was built at IRSN to determine the CHF under various conditions. A heated copper surface simulates the boundary of the pool and is placed in contact with a debris bed (monodisperse steel balls), under water. In this article, we first complete previous experimental work with steam and liquid flow rates, ball diameter, tilting angle of the heated surface, and pressure up to 2.5 bar absolute. A general CHF correlation depending on the tilting angle and the steam flow rate is derived, and an example of the use of this correlation to evaluate the maximum mass of the corium pool that can be stabilized under water is given, for some typical reactor conditions. In the last part of the article, the accuracy of the ASTEC code is evaluated based on first calculations intending to reproduce the experimental impact of liquid and steam flow rates.

(043) INACCURATE AND INADEQUATE ICD-10 CODING RELATED TO FEMALE SEXUAL HEALTH THREATENS PATIENT CARE, RESEARCH AND BILLING

Abstract Introduction The International Classification of Diseases (ICD) is an international health information system for the collection, processing, classification, and presentation of mortality statistics. The ICD 10th Edition (ICD-10) is a tool for physicians and billing professionals to accurately bill for the care provided. However, physicians who treat female sexual health (FSH) disorders report difficulty in finding appropriate codes for diagnoses and clinical syndromes (Parish et al. 2021). These issues impede the process for appropriate treatment and allotting the correct reimbursement to providers. Additionally, quantitative and qualitative research on FSH is limited due to the lack of accurate ICD codes for FSH disorders in this cohort. Objective This study aims to evaluate the ICD-10 coding system to assess the accuracy and quality of codes related to common FSH disorders. Methods A list of 50 most commonly encountered clinical FSH diagnoses was created based on clinical practice findings and ISSWSH guidelines. The list was compared against existing ICD-10 codes to characterize current FSH disorders that are recognized in ICD-10 and determine which FSH disorders are billable (ICD10data.com categorizes codes as “billable” or “non-billable”) or missing entirely. FSH diagnoses explicitly listed as an independent diagnosis or generally listed were considered ICD-10 coded. Diagnoses were considered to not have an existing code if they were not explicitly listed independently or under a more general term. Results 44% (n=22) of the diagnoses did not have existing ICD-10 codes, and 6% (n=3) of the diagnoses had appropriate ICD-10 codes but were not billable (Figure 1, Table 1). FSH diagnoses such as “clitoral adhesions”, “clitorodynia” and “persistent genital arousal disorder” were not coded in ICD-10. Many diagnoses were grouped under general terms - pelvic floor pain disorders were grouped under “R10.2: Pelvic and peroneal pain” which included both male and female diagnoses. Other codes had significant diagnostic overlap - “vulvodynia” was separately cataloged as “N94.810: vulvar vestibulitis”, “N94.818: Other vulvodynia” and “N94.819: vulvodynia, unspecified”. There were numerous common FSH diagnoses with incomplete, inaccurate, or outdated ICD codes. Conclusions These findings highlight the pressing need for an expanded, comprehensive, and precise set of ICD codes dedicated to FSH disorders. Without appropriate coding for 50% of FSH diagnoses, clinical care, research, and healthcare billing are severely impeded. It is much more difficult for physicians to accurately classify and bill for their procedures, which may create problems with clinical documentation leading to delayed treatment and poor clinical outcomes. For example, existing codes for “vulvodynia,” a common disorder affecting 16% of women, are vague and unclear, which lacks practicality for charting and billing purposes. Additionally, the limitations of ICD coding make it nearly impossible to research specific disorders, as they can not be searched in databases like TriNetX. These limitations may explain the large gaps in the literature regarding FSH disorders. Additionally, electronic medical records often have outdated ICD codes, further creating obstacles for clinicians. The current gap in classification, including ICD-10 coding and medical records, must be addressed to advance the understanding and management of FSH disorders. Disclosure No.

Experiments on Criticality and Reactivity Worths in the FCA-XXII-1 Assembly Simulating Highly Enriched MOX Fueled Tight Lattice LWR Cores

A series of integral experiments were conducted at the fast critical assembly (FCA) of the Japan Atomic Energy Agency, simulating light water reactor cores with a tight lattice cell of highly enriched mixed-oxide (MOX) fuel containing >15% fissile plutonium (Pu). The three experimental configurations of the FCA-XXII-1 assembly were constructed using foamed polystyrene with different void fractions (45%, 65%, and 95%) to clarify the prediction accuracy of neutronics calculation codes and nuclear data libraries among various neutron spectra. The hydrogen-to–nuclear fuel atomic ratio varied from 0.1 to 0.8. The nuclear characteristics measured in the experiments were criticality (keff), moderator void reactivity worths, and sample reactivity worths using boron carbide (20%, 60%, and 90% 10B enrichment) and Pu (92%, 81%, and 75% fissile Pu ratio). Preliminary analyses on experiments were conducted using a deterministic calculation code system conventionally used for fast reactors and the Japanese evaluated nuclear data library of JENDL-4.0. The calculated keff values overestimated the experiments beyond the experimental uncertainties. However, most reactivity worth calculations agreed well with the experimental values. Even beyond the experimental uncertainties, discrepancies between the calculation and the experiment were <13%. Specifically in the reactivity worth analyses of the softer neutron spectra configurations, the treatment of ultrafine energy groups obviously improved the prediction accuracy of the deterministic calculations. Furthermore, reference calculations for criticality and large reactivity worths were performed with the Monte Carlo calculation code MVP3 by modeling the experimental configurations in detail, confirming that the deterministic calculations closely agreed with the reference values.

Enhancing Medical Record Quality via Coding Accuracy

Elements of coding quality in medical records include reliability, completeness, validity, and timeliness. This analytical study, employing a quantitative approach, evaluated medical record files of patients with injuries and external cause cases at Ibnu Sina Hospital, Gresik, from October to December 2022. Using the Slovin formula, 161 samples were randomly selected from a population of 271 records. The study variables were reliability (diagnosis readability), completeness (diagnostic code completeness), and validity (5th digit use, diagnosis code accuracy, and external cause code accuracy). Data were analyzed using SPSS and the Chi-Square test. The study found significant relationships between the validity of diagnosis codes and the quality of medical records (p = 0.0001). Reliability showed no significant impact (p = 0.470), while completeness (p = 0.0001) and the use of the 5th digit (p = 0.0001) were significantly related to diagnosis code accuracy. These findings highlight the critical role of accurate coding in improving medical record quality and suggest targeted improvements in coding practices. Highlight: Significant Link: Diagnosis code accuracy is crucial for medical record quality. Critical Factors: Completeness and 5th digit use are key for accurate coding. Targeted Improvements: Focused coding practice enhancements can boost record quality. Keyword: coding quality, reliability, completeness, validity, medical records

RHDLPP: A multigroup radiation hydrodynamics code for laser-produced plasmas

In this paper, we introduce the RHDLPP, a flux-limited multigroup radiation hydrodynamics numerical code designed for simulating laser-produced plasmas in diverse environments. The code bifurcates into two packages: RHDLPP-LTP for low-temperature plasmas generated by moderate-intensity nanosecond lasers, and RHDLPP-HTP for high-temperature, high-density plasmas formed by high-intensity laser pulses. The core radiation hydrodynamic equations are resolved in the Eulerian frame, employing an operator-split method. This method decomposes the solution into two substeps: first, the explicit resolution of the hyperbolic subsystems integrating radiation and fluid dynamics; second, the implicit treatment of the parabolic part comprising stiff radiation diffusion, heat conduction, and energy exchange. Laser propagation and energy deposition are modeled through a hybrid approach, combining geometrical-optics ray-tracing in sub-critical plasma regions with a one-dimensional solution of the Helmholtz wave equation in super-critical areas. The thermodynamic states are ascertained using an equation of state, based on either the real gas approximation or the quotidian equation of state (QEOS). For ionization calculations, the code employs a steady-state collisional-radiation (CR) model using the screened-hydrogenic approximation. Additionally, RHDLPP includes RHDLPP-SpeIma3D, a three-dimensional spectral simulation post-processing module, for generating both temporally-spatially resolved and time-integrated spectra and imaging, facilitating direct comparisons with experimental data. The paper showcases a series of verification tests to establish the code's accuracy and efficiency, followed by application cases, including simulations of laser-produced aluminium (Al) plasmas, pre-pulse-induced target deformation of tin (Sn) microdroplets relevant to extreme ultraviolet lithography light sources, and varied imaging and spectroscopic simulations. These simulations highlight RHDLPP's effectiveness and applicability in fields such as laser-induced breakdown spectroscopy, extreme ultraviolet lithography sources, and high-energy-density physics.

Completeness of Filling Out Medical Record Documents and the Accuracy of Codes at Reksodiwiryo Hospital

A hospital is an institution whose primary function is to provide health services to the community. One of the government's efforts to provide health services to the community is implementing the National Health Insurance Program (JKN), which the Social Security Program Organizing Agency organizes in the health sector. This research analyzed the factors associated with delays in BPJS claims at Dr. Hospital. Reksodiwiryo Padang. This research was a descriptive quantitative study with a cross-sectional study design. The research showed that six medical record files (6.5%) had inaccurate codes, while 86 (93.5%) used the correct ones. In addition, 91 files (98.9%) of inpatient medical records needed to be completed, and only one file (1.1%) was completed. Inaccuracy in diagnostic coding affects delays in submitting claims at Dr. Hospital. Reksodiwiryo Padang. It is hoped that officers can understand the coding rules based on ICD-10 for diagnoses and ICD-9 CM for actions or procedures to guarantee the quality of service at the hospital.

Tinjauan Ketepatan Kode Diganosis Tuberkulosis Paru Pasien Rawat Jalan di Rumah Sakit SHL Pandeglang

In coding activities, medical recorders and health information are needed who master how to give disease codes according to ICD-10 and actions according to ICD-9 CM so that the resulting code has accuracy according to the diagnosis or action given. One of the most frequently used coding accuracy is accuracy in coding for Pulmonary Tuberculosis. One of the important things is how to describe the accuracy of the Outpatient Pulmonary Tuberculosis diagnosis code at SHL Pandeglang Hospital. This study was shown to determine the accuracy of the diagnosis code for Outpatient Pulmonary Tuberculosis at SHL Pandeglang Hospital. This research method uses a descriptive method with a quantitative approach. The sample of this study was taken by saturated sampling technique. Data were taken using interviews and observations. The results of the study of 122 medical records obtained accuracy of 93 (76.2%) files and inaccuracy of 29 (23.8%) files. Based on the identification of factors causing the inaccuracy of the diagnosis code, there are 4 factors, namely the man factor: occurs due to the lack of accuracy of the coder in coding, the workload of the coder, and the lack of training for coders with non-RMIK backgrounds. Material factors: the unavailability of the Medical Dictionary (Dictionary of Medical Terminology) and the absence of an abbreviated list of diagnoses (standard). Machine factors: damage to the computer, software hangs, and computers that are too old. Method factor: incomplete SPO diagnosis coding.

Accuracy of Influenza ICD-10 Diagnosis Codes in Identifying Influenza Illness in Children

Studies of influenza in children commonly rely on coded diagnoses, yet the ability of International Classification of Diseases, Ninth Revision codes to identify influenza in the emergency department (ED) and hospital is highly variable. The accuracy of newer International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) codes to identify influenza in children is unknown. To determine the accuracy of ICD-10 influenza discharge diagnosis codes in the pediatric ED and inpatient settings. Children younger than 18 years presenting to the ED or inpatient settings with fever and/or respiratory symptoms at 7 US pediatric medical centers affiliated with the Centers for Disease Control and Prevention-sponsored New Vaccine Surveillance Network from December 1, 2016, to March 31, 2020, were included in this cohort study. Nasal and/or throat swabs were collected for research molecular testing for influenza, regardless of clinical testing. Data, including ICD-10 discharge diagnoses and clinical testing for influenza, were obtained through medical record review. Data analysis was performed in August 2023. The accuracy of ICD-10-coded discharge diagnoses was characterized using molecular clinical or research laboratory test results as reference. Measures included sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Estimates were stratified by setting (ED vs inpatient) and age (0-1, 2-4, and 5-17 years). A total of 16 867 children in the ED (median [IQR] age, 2.0 [0.0-4.0] years; 9304 boys [55.2%]) and 17 060 inpatients (median [IQR] age, 1.0 [0.0-4.0] years; 9798 boys [57.4%]) were included. In the ED, ICD-10 influenza diagnoses were highly specific (98.0%; 95% CI, 97.8%-98.3%), with high PPV (88.6%; 95% CI, 88.0%-89.2%) and high NPV (85.9%; 95% CI, 85.3%-86.6%), but sensitivity was lower (48.6%; 95% CI, 47.6%-49.5%). Among inpatients, specificity was 98.2% (95% CI, 98.0%-98.5%), PPV was 82.8% (95% CI, 82.1%-83.5%), sensitivity was 70.7% (95% CI, 69.8%-71.5%), and NPV was 96.5% (95% CI, 96.2%-96.9%). Accuracy of ICD-10 diagnoses varied by patient age, influenza season definition, time between disease onset and testing, and clinical setting. In this large cohort study, influenza ICD-10 discharge diagnoses were highly specific but moderately sensitive in identifying laboratory-confirmed influenza; the accuracy of influenza diagnoses varied by clinical and epidemiological factors. In the ED and inpatient settings, an ICD-10 diagnosis likely represents a true-positive influenza case.

0711 REM Sleep Behavior Disorder Diagnostic Code Accuracy and Implications in the Outpatient Setting

0711 REM Sleep Behavior Disorder Diagnostic Code Accuracy and Implications in the Outpatient Setting

Accuracy of routinely collected hospital administrative discharge data and death certificate ICD-10 diagnostic coding in progressive supranuclear palsy and corticobasal syndrome: a systematic review and validation study

BackgroundWe conducted a systematic review to identify existing ICD-10 coding validation studies in progressive supranuclear palsy and corticobasal syndrome [PSP/CBS]) and, in a new study, evaluated the accuracy of ICD-10 diagnostic codes for PSP/CBS in Scottish hospital inpatient and death certificate data.MethodsOriginal studies that assessed the accuracy of specific ICD-10 diagnostic codes in PSP/CBS were sought. Separately, we estimated the positive predictive value (PPV) of specific codes for PSP/CBS in inpatient hospital data (SMR01, SMR04) compared to clinical diagnosis in four regions. Sensitivity was assessed in one region due to a concurrent prevalence study. For PSP, the consistency of the G23.1 code in inpatient and death certificate coding was evaluated across Scotland.ResultsNo previous ICD-10 validation studies were identified. 14,767 records (SMR01) and 1497 records (SMR04) were assigned the candidate ICD-10 diagnostic codes between February 2011 and July 2019. The best PPV was achieved with G23.1 (1.00, 95% CI 0.93–1.00) in PSP and G23.9 in CBS (0.20, 95% CI 0.04–0.62). The sensitivity of G23.1 for PSP was 0.52 (95% CI 0.33–0.70) and G31.8 for CBS was 0.17 (95% CI 0.05–0.45). Only 38.1% of deceased G23.1 hospital-coded cases also had this coding on their death certificate: the majority (49.0%) erroneously assigned the G12.2 code.DiscussionThe high G23.1 PPV in inpatient data shows it is a useful tool for PSP case ascertainment, but death certificate coding is inaccurate. The PPV and sensitivity of existing ICD-10 codes for CBS are poor due to a lack of a specific code.

Frictional heating effects on entropy generation with nonlinear Rosseland radiation: Implementation of generalized differential quadrature method

This article examines heat transfer and entropy generation analysis for boundary layer flow, considering the impacts of frictional heating and nonlinear Rosseland thermal radiation. The equations governing momentum and energy in a two-dimensional boundary layer are transformed into self-similar equations via similarity operations. The generalized differential quadrature method (GDQM) is then used to numerically solve the no-dimensional governing equations. Entropy generation and Bejan numbers are computed using the acquired solutions and are then plotted against the emerging flow parameters. An in-depth analysis of temperature distribution, entropy generation, velocity profile, and Bejan number. A high level of agreement was seen when the results from the literature were replicated using GDQM to verify the accuracy of the numerical code. It is found that a self-similar solution exists in the presence of viscous dissipation. The primary contributor to entropy generation at the interface is fluid friction, in contrast to heat transfer. Further, the findings indicate that entropy generation positively correlates with the Prandtl number, heating parameter, radiation parameter, and Eckert number. Notably, the results show that a decrease in operational temperature causes a decrease in entropy production.

Validation of Diagnostic Codes to Identify Glaucoma in Taiwan's Claims Data: A Multi-Institutional Study.

Healthcare databases play a crucial role in improving our understanding of glaucoma epidemiology, which is the leading cause of irreversible blindness globally. However, the accuracy of diagnostic codes used in these databases to detect glaucoma is still uncertain. To assess the accuracy of ICD-9-CM and ICD-10-CM codes in identifying patients with glaucoma, including two distinct subtypes, primary open-angle glaucoma (POAG) and primary angle-closure glaucoma (PACG). We analyzed electronic medical records data from a 2% random sample of patients who newly underwent visual field examination in Taiwan's largest multi-institutional healthcare system from 2011 to 2020. The diagnosis of glaucoma was confirmed by two ophthalmologists, based on the glaucoma diagnostic criteria. The positive predictive value (PPV), negative predictive value (NPV), sensitivity and specificity for ICD-9-CM codes 365.1X and 365.2X, and ICD-10-CM codes H4010X, H4011X, H4012X, H4020X, H4021X, H4022X, H4023X and H4024X for glaucoma were calculated. We randomly selected 821 patients (mean age: 56.9 years old; female: 50.5%) from the original cohort of 41,050 newly receiving visual field examination in the study. Among 464 cases with an ICD-9-CM glaucoma code, the sensitivity, specificity, PPV and NPV for glaucoma were 86.5, 96.5, 91.9, and 90.9%, respectively. Among 357 cases with an ICD-10-CM glaucoma code, the sensitivity, specificity, PPV and NPV for glaucoma were 87.0, 92.8, 92.2 and 87.9%, respectively. The accuracy of diagnostic codes to identify POAG and PACG remained consistent. The diagnostic codes were highly reliable for identifying cases of glaucoma in Taiwan's routine healthcare practice. These results provide confidence when using ICD-9-CM and ICD-10-CM codes to define glaucoma cases in healthcare database research in Taiwan.

Obstetric infections and clinical characteristics of maternal sepsis: a hospital-based retrospective cohort study

Sepsis is responsible for 50% of intrahospital maternal deaths worldwide. Incidence is increasing in both low and middle-, and high-income countries. There is little data on incidence and clinical outcomes of obstetric infections including maternal sepsis in the Nordic countries. The aims of this study are to give estimates of the occurrence of obstetric infections and maternal sepsis in a Norwegian hospital cohort, assess the quality of management of maternal sepsis cases, and evaluate the usefulness of diagnostic codes to identify maternal sepsis retrospectively. We conducted a retrospective cohort study of pregnant, labouring, post-abortion, and postpartum women. We assessed the accuracy of the diagnostic code most frequently applied for maternal sepsis, O85. We found 7.8% (95% confidence interval 7.1–8.5) infection amongst pregnant, labouring, and postpartum women. The incidence of maternal sepsis was 0.3% (95% confidence interval 0.2–0.5), and the majority of sepsis cases were recorded in the postpartum period. Two thirds of women were given broad-spectrum antibiotics at the time sepsis was diagnosed, but only 15.4% of women with puerperal sepsis were given antimicrobials in accordance with national guidelines. When used retrospectively, obstetric infection codes are insufficient in identifying both maternal and puerperal sepsis, with only 20.3% positive predictive value for both conditions. In conclusion, obstetric infections contribute significantly to maternal morbidity in Norway’s second largest maternity hospital. This study provides incidences of maternal infections for hospitalised patients in temporal relation to pregnancy, labour, abortion and the postpartum period, knowledge which is valuable for planning of health care services and allocation of resources. In addition, the study highlights areas where improvement is needed in clinical handling of maternal sepsis. There is need for studies on the management quality and use of correct diagnostic codes in this patient category.

Automated code development based on genetic programming in graphical programming language: A pilot study.

Continual technological advances associated with the recent automation revolution have tremendously increased the impact of computer technology in the industry. Software development and testing are time-consuming processes, and the current market faces a lack of specialized experts. Introducing automation to this field could, therefore, improve software engineers' common workflow and decrease the time to market. Even though many code-generating algorithms have been proposed in textual-based programming languages, to the best of the authors' knowledge, none of the studies deals with the implementation of such algorithms in graphical programming environments, especially LabVIEW. Due to this fact, the main goal of this study is to conduct a proof-of-concept for a requirement-based automated code-developing system within the graphical programming environment LabVIEW. The proposed framework was evaluated on four basic benchmark problems, encompassing a string model, a numeric model, a boolean model and a mixed-type problem model, which covers fundamental programming scenarios. In all tested cases, the algorithm demonstrated an ability to create satisfying functional and errorless solutions that met all user-defined requirements. Even though the generated programs were burdened with redundant objects and were much more complex compared to programmer-developed codes, this fact has no effect on the code's execution speed or accuracy. Based on the achieved results, we can conclude that this pilot study not only proved the feasibility and viability of the proposed concept, but also showed promising results in solving linear and binary programming tasks. Furthermore, the results revealed that with further research, this poorly explored field could become a powerful tool not only for application developers but also for non-programmers and low-skilled users.

Ab initio guided atomistic modelling of nanomaterials on exascale high-performance computing platforms

The continuous development of increasingly powerful supercomputers makes theory-guided discoveries in materials and molecular sciences more achievable than ever before. On this ground, the incoming arrival of exascale supercomputers (running over 1018 floating point operations per second) is a key milestone that will tremendously increase the capabilities of high-performance computing (HPC). The deployment of these massive platforms will enable continuous improvements in the accuracy and scalability of ab initio codes for materials simulation. Moreover, the recent progress in advanced experimental synthesis and characterisation methods with atomic precision has led ab initio-based materials modelling and experimental methods to a convergence in terms of system sizes. This makes it possible to mimic full-scale systems in silico almost without the requirement of experimental inputs. This article provides a perspective on how computational materials science will be further empowered by the recent arrival of exascale HPC, going alongside a mini-review on the state-of-the-art of HPC-aided materials research. Possible challenges related to the efficient use of increasingly larger and heterogeneous platforms are commented on, highlighting the importance of the co-design cycle. Also, some illustrative examples of materials for target applications, which could be investigated in detail in the coming years based on a rational nanoscale design in a bottom-up fashion, are summarised.

Validation of OpenMC Code Criticality Value Calculation for GFR Reactor with UN-PuN Fuel

The use of OpenMC code needs to be validated with other code, so that an accurate and valid criticality value is generated. The validation value is affected by the minimum number of particles used. Determination of the minimum number of particles is carried out by varying the number of particles so that they have a convergent value, which is in the range of 100-50000 particles. The results of determining the minimum number of particles are then used to find the minimum number of cycles consisting of active and inactive batches. This study uses the criticality value parameter in the form of an effective multiplication factor (k-eff) as a benchmark for code accuracy. The k-eff values generated by OpenMC and SRAC are then compared and the validation error value is searched. The error value is found by calculating the k-eff (Δk-eff) difference between the two codes. OpenMC code can be said to be validated if it has an error value of less than 1% against the calculation results of the SRAC code. The calculation results of determining the minimum number of particles show k-eff values in the range of 35000 - 50000 minimal changes significantly or not fluctuating. The calculation of k-eff and entropy in cycle 500 shows a convergent value at the active batch value of >30. Based on the data cycle, researchers used 100 active batches and 30 inactive batches to perform validation calculations. The results of the validation calculation using UN-PuN fuel with a plutonium material composition of 10% showed a maximum k-eff error value of 0.819%. The Δk-eff obtained is 0.008.

Analisis Kesesuaian Kode Diagnosis Utama Neoplasma Di Rumah Sakit Umum Daerah Dr. Soedirman Kebumen

Neoplasm is a disease associated with abnormal tissue development due to neoplasia, which is the process of abnormal growth and development of body tissues that grow actively with the autonomic (uncontrolled) system. Information for a patient in a hospital will not be complete and useful if it has not been processed, then coding is required. Giving special diagnosis code of neoplasm should consider 3 things to get the right code, namely topography code, morphology, and behavior. However, in its implementation, there are still many errors in the coder's determination of the neoplasm diagnosis code. This has an impact on services to patients such as errors of Action, care and treatment. This study aims to determine the description of the accuracy of topography and morphology codes in neoplasm diagnosis at Dr. Sudirman Kebumen. The type of research used is descriptive quantitative. Based on the research obtained from 178 inpatient medical records in the case of neoplasms, the samples taken were as many as 39 C codes determined that the accuracy amounted to 8 (20.51%) inaccurate category amounted to 31 (79.49%). Inaccuracy in writing the neoplasm code due to the results of PA (anatomical pathology) that has not come out at the time of coding the disease, anatomical pathology Examination Result Sheet that often the results come late because the laboratory examination outside the hospital and the coding officer is less thorough, sometimes there is a doctor's writing that is less clear so that the difficulty of the officer in reading the diagnosis. This led to the inaccuracy of the neoplasm diagnosis code in Dr. Sudirman Kebumen in September 2020.

Measuring accuracy of International Classification of Diseases codes in identification of patients with non-cystic fibrosis bronchiectasis.

Non-cystic fibrosis bronchiectasis is a disease which is increasing in incidence and prevalence worldwide. The incidence of the disease is frequently estimated using databases that rely on International Classification of Diseases, ninth and tenth revisions, clinical modification (ICD-9-CM/ICD-10-CM) discharge diagnoses. Code accuracy has proved to be a major issue for other diagnoses using ICD codes. This study aims to investigate the accuracy of the ICD codes for the diagnosis of non-cystic fibrosis bronchiectasis. This is a retrospective diagnostic accuracy study which compares the radiologist's diagnosis of bronchiectasis with the ICD code reflection of that diagnosis at discharge. Sensitivities were 34% (same for both ICD-9-CM and ICD-10-CM windows) and specificities ranged from 69% for the ICD-9-CM window to 81% for ICD-10-CM window. We observed that ICD codes are an insufficient method to identify patients with a radiologist diagnosis of bronchiectasis.

Evaluation of CFRP confinement performance and predictive accuracy of design codes and stress-strain models for concrete

This research investigates the effectiveness of different CFRP confinement types full, horizontal, and spiral and assesses the accuracy of various design codes and stress-strain models in predicting the performance of CFRP-confined concrete. Experimental results show that fully CFRP-confined specimens exhibit a significant increase in compressive strength by 89.36% compared to unconfined concrete, which had a compressive strength of 21.42 MPa, while horizontal CFRP strips with 30 mm spacing provide notable improvements in both strength (49.53% increase) and axial strain (610.78% increase). In contrast, spiral CFRP strips demonstrated lower effectiveness. Numerical evaluations revealed that the FIB model was accurate for horizontal confinements but overestimated compressive strength for spiral confinements. The ACI code offered reasonable predictions with deviations between -16% and 19%. Pellegrino et al and Wang et al. models performed well for horizontal CFRP strips but were less accurate for spiral configurations. The model proposed by Guo et al. overestimated the compressive strength for partially confined specimens. This study provides insights for optimizing CFRP confinement strategies and highlights the need for refinement in predictive models and design codes.

INTEGRAL TRANSFORM SOLUTION OF HEAT CONDUCTION IN ANISOTROPIC HETEROGENEOUS MEDIA

The generalized integral transform technique (GITT) is advanced to deal with conduction heat transfer in anisotropic heterogeneous media. A formal solution for exact integral transformation of conduction in anisotropic media is extended to account for heterogeneities expressed as space variable equation coefficients and source terms. The proposed eigenfunction expansion is based on biorthogonal eigenvalue problems, which results in an exact integral transformation for a class of linear problems and in a coupled transformed ordinary differential system for nonlinear situations. An algorithm is proposed for the associated eigenvalue problems, also handled through the GITT, by considering simpler biorthogonal eigenvalue problems of known analytical solution, leading to transformed algebraic eigenvalue problems. A single domain reformulation strategy is adopted to merge the information from multiple regions and materials, either isotropic or anisotropic, into one single diffusion equation. A two-dimensional transient test case is considered that presents an abrupt transition between isotropic and anisotropic materials yielding a marked change in thermal behavior in a defined region of interest formed by the anisotropic inclusion. Convergence behavior of the integral transform solution is illustrated, and the fully converged results are employed as a benchmark to inspect the accuracy of a commercial finite element code for automatically defined mesh refinement levels.