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Overview of inpatient coding.

The main classification-based and nomenclature-based coding systems used in the United States, as well as the process and importance of documenting in the patient record, are discussed. Hospital pharmacists usually have limited knowledge of and exposure to coding and reimbursement in the inpatient system. Coding allows for reporting of mortality data to the World Health Organization (WHO), reporting morbidity data in the U.S., and providing data for reimbursement from third-party payers to hospitals for services provided. Coded information is also the primary source for administrative management of medical services and a source of epidemiologic and statistical data from inpatient stays. In order to better understand inpatient coding and reimbursement, this article will discuss the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) coding system; the Healthcare Common Procedure Coding System (HCPCS); the process and importance of appropriate chart documentation; and the development of the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) coding system. Coding in the inpatient setting enables hospital billing and provides statistical data for epidemiology and financial planning. The ICD-9-CM is a clinically modified version of the international ICD-9 system used for coding both diagnoses and procedures in the United States. Coding is derived from documentation found in the patient's chart. Appropriate documentation is key for quality and continuity of care and compensation for resources utilized. In the future the ICD-9-CM will be replaced by the 10th revision, ICD-10, which is already in use in many countries in Europe.

Abstracting and Indexing↗

Small fitness effect of mutations in highly conserved non-coding regions.

Comparison of human and mouse genomes has revealed that many non-coding regions have levels of sequence conservation similar to protein-coding genes. These regions have attracted a lot of attention as potentially functional genomic sequences. However, little is known about the effect mutations in these conserved non-coding regions have on fitness and how many of them are present in the human genome as deleterious polymorphisms. To gain insight into the selective constraints imposed on conserved non-coding and protein-coding regions, we compared substitution rates in primate and rodent lineages and analyzed the density and allele frequencies of human polymorphism. Genomic regions conserved between primate and rodent groups show higher relative conservation within rodents than within primates. Thus, our analysis indicates a genome-wide relaxation of selective constraint in the primate lineage, which most likely resulted from a smaller effective population size. We found that this relaxation is much more profound in conserved non-coding regions than in protein-coding regions, and that mutations at a large proportion of sites in conserved non-coding regions are associated with very small fitness effect. Data on human polymorphism are also consistent with very weak selection in conserved non-coding regions. This staggering enrichment in sites at the borderline of neutrality can be explained by assuming an important role for synergistic epistasis in the evolution of non-coding regions. Our results suggest that most individual mutations in conserved non-coding regions are only slightly deleterious but are numerous and may have a significant cumulative impact on fitness.

Algorithms↗

An assessment of the validity of ICD Code 410 to identify hospital admissions for myocardial infarction: The Corpus Christi Heart Project.

BACKGROUND: The identification of myocardial infarction (MI) is typically based on finding events designated by a nosologist with the appropriate International Classification of Diseases (ICD) code, currently code 410. These codes are applied based on review of medical records or death certificates. However, other factors, including reimbursement considerations, may influence the coding process, especially for hospitalizations. Thus, the validity of using ICD code 410 to identify MI must be assessed. METHODS: The Corpus Christi Heart Project (CCHP) is a population-based surveillance programme for hospitalized MI. Patients were identified using concurrent ascertainment in coronary care units and retrospective review of medical records. Events were validated as definite or possible MI using data regarding chest pain, electrocardiographic changes and cardiac enzymes. The validity of using ICD code 410 to identify cases of MI was assessed by calculating the sensitivity, specificity, predictive values and efficiency of ICD code 410 versus the CCHP 'gold standard'. RESULTS: Use of ICD code 410 identified 80.9% (401/496) of definite MI, but only 19.0% (243/1280) of possible MI. Only 12.3% (90/734) of discharges with an ICD 410 code received a 'no MI' designation based on the 'gold standard'. The efficiency of ICD code 410 for identifying MI was 92.0% for definite MI and 77.1% for definite and possible MI. CONCLUSIONS: The use of ICD code 410 to identify hospitalized cases of MI results in a modestly biased overestimate of the number of definite MI hospitalizations; however, this approach warrants consideration due to the expense of validation procedures.

Adult↗

Comparison of computer-assigned Minnesota Codes with the visual standard method for new coronary heart disease events.

The Minnesota Code is the most widely used electrocardiogram (ECG) classification system for epidemiologic studies and has been incorporated into several Computer algorithms. The authors compared the Modular ECG Analysis System (MC-MEANS) and NOVACODE computer ECG findings with the Visual coding standard for agreement and prognostic associations with coronary heart disease (CHD) events occurring during follow-up from 1987 to 1995 in 2,116 individuals participating in the Atherosclerosis Risk in Communities (ARIC) Study. The exact agreement between Visual and computer findings was greater than 90% for all Minnesota Code categories except Q-code, which was 77% for MC-MEANS and 81% for NOVACODE. Approximately 60% of all Q-codes were assigned by computer methods only. Among the 2,116 participants, there were 246 (11.6%) new coronary events. Unadjusted relative risks for codes assigned by the three methods were similar. When computer methods disagreed on code severity, the CHD occurrence rates for MC-MEANS-detected severer code versus NOVACODE-detected severer code were 21% and 7%, respectively. This study provides clear evidence that computers assign more and severer Minnesota Codes with similar prognostic importance as does the Visual method; it also alerts researchers to potential problems in pooling Minnesota Code data read by different methods.

Algorithms↗

A systematic review of discharge coding accuracy.

BACKGROUND: The aim of the study was to review systematically the literature measuring the accuracy of routine UK hospital statistics that classify patients on discharge. METHODS: A systematic review was carried out of studies comparing routine discharge statistics about an episode of hospital care with the original medical record. Dual quality assessment and extraction was completed for included studies. Qualitative and descriptive analyses were undertaken. Additional comparisons of factors that could potentially introduce systematic variation in coding accuracy were also undertaken. RESULTS: Thirty studies were identified, of which 21 were included in the review. Twelve of these were conducted in England and Wales, and nine in Scotland. The majority assessed the accuracy of a single diagnosis, or selection of diagnoses in a limited range of hospital settings. The median coding accuracy rates were 91 per cent for diagnostic codes and 69.5 per cent for operation or procedure codes in studies in England or Wales; 82 per cent for diagnostic codes and 98 per cent for operation or procedure codes in Scottish studies. There were no significant differences in coding accuracy over time or in the type or rarity of the codes being assessed. Accuracy rates were higher for ICD7 codes (median 96.5 per cent) than for ICD8 (median 87 per cent) or ICD9 (median 77 per cent). CONCLUSIONS: Coding accuracy on average is high in the United Kingdom, especially for operations and procedures. However, policy-makers, planners and researchers need to recognize and account for the degree of inaccuracy in routine hospital information statistics. Further research is needed into methods of improving and maintaining coding accuracy.

Abstracting and Indexing↗

ABC codes: a new opportunity to capture CNS contributions to US healthcare.

A specialized set of insurance-related codes for integrative healthcare will increase the national influence and patient-specific effectiveness of clinical nurse specialists (CNSs) and others in the US healthcare system because virtually every participant in the healthcare system uses codes for some critical purpose. Inadequate codes prevent decision makers from having essential health-related information at their fingertips. ABC codes improve business processes and health industry efficiencies in the same manner that universal product codes (UPCs/bar codes) improved the retail operations and the retail industry. The codes are essential to research, management, and commerce. In healthcare, the combination of ABC codes with older medical and dental code sets allows many essential business processes (such as forecasting, practice management, insurance billing, claims processing, and third-party reimbursement) to be fully automated. The codes also help digitize information to simplify data collection, analysis, and reporting. This improves the quality of data and accelerates the speed with which conclusions can be drawn from those data about what works in US healthcare and why. By offering CNSs more complete, accurate, and precise information on best practices, ABC codes help ensure that CNSs and others can generate better outcomes in addressing health-related challenges faced by patients/clients, nurses, and nursing practices, and the nation's health-promoting organizations and systems.

Electronic Data Processing↗

Layered Wyner-Ziv video coding.

Following recent theoretical works on successive Wyner-Ziv coding (WZC), we propose a practical layered Wyner-Ziv video coder using the DCT, nested scalar quantization, and irregular LDPC code based Slepian-Wolf coding (or lossless source coding with side information at the decoder). Our main novelty is to use the base layer of a standard scalable video coder (e.g., MPEG-4/H.26L FGS or H.263+) as the decoder side information and perform layered WZC for quality enhancement. Similar to FGS coding, there is no performance difference between layered and monolithic WZC when the enhancement bitstream is generated in our proposed coder. Using an H.26L coded version as the base layer, experiments indicate that WZC gives slightly worse performance than FGS coding when the channel (for both the base and enhancement layers) is noiseless. However, when the channel is noisy, extensive simulations of video transmission over wireless networks conforming to the CDMA2000 1X standard show that H.26L base layer coding plus Wyner-Ziv enhancement layer coding are more robust against channel errors than H.26L FGS coding. These results demonstrate that layered Wyner-Ziv video coding is a promising new technique for video streaming over wireless networks.

Algorithms↗

A truncated E-code system for injury surveillance in the emergency department: description and clinometric testing.

OBJECTIVES: ED injury surveillance requires accurate information about mechanism. This study explored the clinometric properties of an E-code system specifically designed to track ED injuries. METHODS: All patients assessed in the ED had cause-of-injury information documented using a truncated E-code system. Patient records were hand-searched to determine coding compliance. A selection of 98 charts (50 injury/48 noninjury) were coded by 7 physicians, 2 nurses, and 2 nosologists. Agreements (interrater and intrarater) on the diagnosis of trauma and exact E-codes were determined (using kappa; kappa). RESULTS: E-coding compliance was high (overall 90%: 95% CI: 85-93%), and accuracy of injury classification was 99%. Compared with an expert's coding, agreement on injury classification was excellent for physicians (kappa = 0.91; 95% CI: 0.80-1.0), nurses (kappa = 0.88; 95% CI: 0.75-1.0), and nosologists (kappa = 0.92; 95% CI: 0.81-1.0). Agreement was substantial for the exact E-codes between physicians (kappa = 0.77; 95% CI: 0.60-0.94) and nurses (kappa = 0.72; 95% CI: 0.54-0.90). Recode reliability was also excellent for physicians (kappa = 0.88; 95% CI: 0.75-1.0) and nurses (kappa = 0.96; 95% CI: 0.88-1.0). CONCLUSIONS: Injury coding using a truncated E-code system can provide valid and reliable data from the ED. Differences between nurses, physicians, and nosologists in the ability to accurately code using this system were minimal, thus eliminating the need for additional staff and resources.

Confidence Intervals↗

Nucleotide deletion and P addition in V(D)J recombination: a determinant role of the coding-end sequence.

During V(D)J recombination, the coding ends to be joined are extensively modified. Those modifications, termed coding-end processing, consist of removal and addition of various numbers of nucleotides. We previously showed in vivo that coding-end processing is specific for each coding end, suggesting that specific motifs in a coding-end sequence influence nucleotide deletion and P-region formation. In this study, we created a panel of recombination substrates containing actual immunoglobulin and T-cell receptor coding-end sequences and dissected the role of each motif by comparing its processing pattern with those of variants containing minimal nucleotide changes from the original sequence. Our results demonstrate the determinant role of specific sequence motifs on coding-end processing and also the importance of the context in which they are found. We show that minimal nucleotide changes in key positions of a coding-end sequence can result in dramatic changes in the processing pattern. We propose that each coding-end sequence dictates a unique hairpin structure, the result of a particular energy conformation between nucleotides organizing the loop and the stem, and that the interplay between this structure and specific sequence motifs influences the frequency and location of nicks which open the coding-end hairpin. These findings indicate that the sequences of the coding ends determine their own processing and have a profound impact on the development of the primary B- and T-cell repertoires.

Animals↗

Completeness of cause of injury coding in healthcare administrative databases in the United States, 2001.

OBJECTIVES: To determine the completeness of external cause of injury coding (E-coding) within healthcare administrative databases in the United States and to identify factors that contribute to variations in E-code reporting across states. DESIGN: Cross sectional analysis of the 2001 Healthcare Cost and Utilization Project (HCUP), including 33 State Inpatient Databases (SID), a Nationwide Inpatient Sample (NIS), and nine State Emergency Department Databases (SEDD). To assess state reporting practices, structured telephone interviews were conducted with the data organizations that participate in HCUP. RESULTS: The percent of injury records with an injury E-code was 86% in HCUP's nationally representative database, the NIS. For the 33 states represented in the SID, completeness averaged 87%, with more than half of the states reporting E-codes on at least 90% of injuries. In the nine states also represented in the SEDD, completeness averaged 93%. Twenty two states had mandates for E-code reporting, but only eight had provisions for enforcing the mandates. These eight states had the highest rates of E-code completeness. CONCLUSIONS: E-code reporting in administrative databases is relatively complete, but there is significant variation in completeness across the states. States with mandates for the collection of E-codes and with a mechanism to enforce those mandates had the highest rates of E-code reporting. Nine statewide ED data systems demonstrate consistently high E-coding completeness.

Cross-Sectional Studies↗

Drowning in Finland: "external cause" and "injury" codes.

BACKGROUND: The International Classification of Diseases (ICD) external codes (E codes) for drowning assist in determining the primary event leading to drowning, but do not alone allow the precise determination of the overall drowning rates. AIMS: To analyze the sensitivity of the ICD E codes for drowning. To describe the pattern and trend of drowning deaths that are classified with E codes other than for drowning. SETTING: Finland, 1969-2000. METHODS: Mortality files of Statistics Finland were searched electronically using the injury codes (I codes) and E codes for drowning. Cross analysis of I and E coded drownings was performed to determine the rate and pattern of drowning cases classified with E codes other than for drowning. Time trends were calculated using the Poisson regression model. RESULTS: Of 13 705 drowning deaths, 644 (4.7%) were not identified with the E codes for drowning. The great majority (n=547, 84.9%) of these cases were traffic accidents resulting in drowning. No significant time trends were found even after the introduction, in 1996, of the ICD 10th revision. CONCLUSIONS: In Finland, underestimation of overall drowning rates using the E code alone is less pronounced than in countries where similar studies have been performed. The relatively high rate of transport accidents resulting in drowning indicates a specific target for preventive countermeasures.

Accidents↗

The tobacco industry's code of advertising in the United States: myth and reality.

The major American tobacco companies developed and agreed to abide by the Cigarette Advertising Code in 1964. The stated aims of the code were to prohibit advertising directed at young people, to prohibit advertising that used fraudulent health claims, and to assure compliance with the code's provisions through the establishment of an administrative arm and enforcement mechanism to prescreen and monitor all cigarette advertising. In the 32 years since the Cigarette Advertising Code's adoption, the tobacco industry has used the existence of this code and its revisions and promises of self-regulation in accordance with this code as evidence that it promotes tobacco use only in a responsible manner. The code has served as the basis of the industry's efforts to avoid further local, state, and federal regulatory oversight of its marketing activities. A historical review of cigarette advertising since 1964 indicates that the voluntary code's major provisions have been regularly violated in the spirit and the letter. The administrative and enforcement provisions of the original Cigarette Advertising Code were quietly dismantled soon after the voluntary code's adoption and were completely omitted from the revised code in 1990. The historical evidence indicates that self-regulation of cigarette advertising and promotion by the tobacco industry has been repeatedly given trials and has not worked.

Advertising↗

Accuracy of diagnostic coding of hospital admissions for cryptogenic fibrosing alveolitis.

To determine the accuracy of diagnostic coding of cryptogenic fibrosing alveolitis, the case notes of 166 admissions to four hospitals were reviewed. These consisted of all admissions that had been coded as "idiopathic fibrosing alveolitis" (ICD code 516.3: 97 admissions) or as "postinflammatory pulmonary fibrosis" (ICD code 515.9: 69 admissions). Of 88 available records of admissions coded as idiopathic fibrosing alveolitis, 70 (80%) patients had definite cryptogenic fibrosing alveolitis, and six (7%) possible cryptogenic fibrosing alveolitis according to predetermined conventional clinical criteria. Only seven (8%) admissions were clearly coded wrongly. Sixty four records were available for patients coded as having postinflammatory pulmonary fibrosis; 16 (25%) of these patients had definite cryptogenic fibrosing alveolitis, a further 12 (19%) had possible cryptogenic fibrosing alveolitis or fibrosing alveolitis with a connective tissue disorder, and the remainder had a very wide range of diagnoses. In this study the idiopathic fibrosing alveolitis (ICD 516.3) code was relatively reliable, but a substantial proportion of admissions coded under postinflammatory pulmonary fibrosis (ICD 515.9) also had cryptogenic fibrosing alveolitis and code 515.9 was of little diagnostic value. The data are inadequate for case finding, though in respect of cryptogenic fibrosing alveolitis may be adequate for planning purposes. There continues to be a need for more medical input into the process of diagnostic coding.

Connective Tissue Diseases↗

Automating the assignment of diagnosis codes to patient encounters using example-based and machine learning techniques.

OBJECTIVE: Human classification of diagnoses is a labor intensive process that consumes significant resources. Most medical practices use specially trained medical coders to categorize diagnoses for billing and research purposes. METHODS: We have developed an automated coding system designed to assign codes to clinical diagnoses. The system uses the notion of certainty to recommend subsequent processing. Codes with the highest certainty are generated by matching the diagnostic text to frequent examples in a database of 22 million manually coded entries. These code assignments are not subject to subsequent manual review. Codes at a lower certainty level are assigned by matching to previously infrequently coded examples. The least certain codes are generated by a naïve Bayes classifier. The latter two types of codes are subsequently manually reviewed. MEASUREMENTS: Standard information retrieval accuracy measurements of precision, recall and f-measure were used. Micro- and macro-averaged results were computed. RESULTS At least 48% of all EMR problem list entries at the Mayo Clinic can be automatically classified with macro-averaged 98.0% precision, 98.3% recall and an f-score of 98.2%. An additional 34% of the entries are classified with macro-averaged 90.1% precision, 95.6% recall and 93.1% f-score. The remaining 18% of the entries are classified with macro-averaged 58.5%. CONCLUSION: Over two thirds of all diagnoses are coded automatically with high accuracy. The system has been successfully implemented at the Mayo Clinic, which resulted in a reduction of staff engaged in manual coding from thirty-four coders to seven verifiers.

Abstracting and Indexing↗

A comparison of MMPI-2 high-point coding strategies.

High-point coding refers to the popular practice of classifying Minnesota Multiphasic Personality Inventory (Hathaway & McKinley, 1983) profiles based on which clinical scales are the most elevated. A previous review of high-point code studies (McGrath & Ingersoll, 1999a) noted marked discrepancies across studies in the rules used to define high-point codes. This study was conducted to evaluate the costs and benefits of different strategies for high-point coding. The impact of 4 rules for high-point coding on effect sizes and group sizes was evaluated. The 4 rules included requiring a minimum elevation, excluding potentially invalid protocols, restricting coding to well-defined codes, and replacing the lower scale in infrequently occurring codes with the next most elevated scale. The evidence supported the clinical utility of requiring a minimum elevation for code scales. The results were more equivocal concerning the value of well-defined coding and for not replacing the lower scale in infrequent codes. Results were surprisingly negative concerning the utility of excluding potentially invalid protocols, suggesting that guidelines developed in situations in which there is a clear motivation to distort results may not generalize to other settings.

Adult↗

Simultaneous manipulation of propositional and analog codes in picture memory.

Revealing a picture as a whole or as momentarily displayed strips presumably manipulated the propositional coding of the picture. Analog manipulation employed superimposition of a grid pattern. Effectiveness of simultaneous manipulations was tested via recognition with three foil categories, each of which presumably tapped the analog or propositional codes mainly, or both of them in detection. While figural units' perspective reversals should presumably be detected via the analog code, their locational displacements should be detected via the propositional code. Foils with novel item substitution should be detected by both codes. On the basis of such presumptions about encoding and recognition manipulations, certain predictions were made for scan and grid effects in "reversal," "displacement," and "novelty" foil categories. Full confirmation of these predictions was then taken as evidence that both analog and propositional codes do exist. Once such evidence was established, other issues were tackled, showing that target detection involves the propositional code only, while foil detection involves both codes. Further, recognition hypermnesia, where performance improves with repeated testing, was obtained only when both codes were attenuated. Data suggested that subjects might be switching from analog to propositional codes when both codes were strong, thereby preventing hypermnesia.

Adult↗

Carbon monoxide-related injury estimation using ICD-coded data: methodologic implications for public health surveillance.

Estimates of unintentional deaths from carbon monoxide (CO) poisoning can be obtained from national mortality data. We explored ways of accurately estimating CO-related deaths from International Classification of Diseases, 9th Revision (ICD-9) coded U.S. mortality data. We evaluated and identified CO-related ICD-9 codes and created five classes of codes for case ascertainment that represented a continuum of the degree of certainty that the ICD-coded death was truly CO-related. We conducted single (underlying) cause-of-death and multiple-cause-of-death analysis using 20 years of data (1979-1998), and calculated sensitivity and positive predictive value using different criteria for case ascertainment. Single-cause analysis provided accurate estimates only when we used CO-exclusive E-codes, however this method failed to identify approximately one third of the CO-related deaths over the study period. Single-cause analysis overestimated the number of CO-related deaths when we used E-codes that were not exclusive to CO exposure. Identification of true CO-related deaths required multiple cause-of-death analysis and use of the CO nature-of-injury code, N986, to confirm suspected cases. Sensitivity of N986 was 99.5%, and positive predictive value of the individual E-codes in single cause-of-death analysis ranged from 1.5% to 92%. Estimating CO-related deaths from ICD-coded data requires a thorough understanding of the ICD codes, coding rules, and of the limitations imposed by case selection criteria and single cause-of-death analysis.

Air Pollutants↗

Documentation and coding of medical records in a tertiary care center: a pilot study.

BACKGROUND: Since the medical record is the major source of health information, it is necessary to maintain accurate, comprehensive and properly coded patient data. We reviewed 300 medical records from patients at King Faisal Specialist Hospital and Research Center, representing four departments (medicine, surgery, pediatrics and obstetrics and gynecology). METHODS: The records were audited following the guidelines of the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) for accuracy and completeness of documentation and coding of primary and secondary diagnoses and procedures performed. RESULTS: Of 1051 items abstracted, 876 (83.3%) were accurately documented, 41 (3.9%) were inaccurately documented, and 134 (12.7%) were not documented. Of the items abstracted, 736 (70%) were assigned a correct code, 110 (10.5%) were assigned an incorrect code, and 205 (19.5%) were not coded. More items classified as accurately documented were coded correctly (71.1%) than items inaccurately documented (49.7%) (P < 0.0001). The difference in comprehensiveness of documentation, which reflects physician performance, was not statistically significant among the four departments (P value < 0.234). The difference in the accuracy of coding, which reflects coder performance, was statistically significant (P value < 0.036). CONCLUSIONS: Only 60% of the audited records met the benchmark for good quality medical records with regards to documentation and coding. A positive correlation between the accurate documentation and correct coding was noted, which supports the conclusion that high quality documentation enhances coding accuracy. These data, although encouraging, suggest room for improvement, which can be achieved through the collaboration of clinicians, who have extensive clinical experience, and coding professionals, who have comprehensive classification system expertise.

Documentation↗