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

The influence of organisational factors on the quality of hospital coding using the International Statistical Classification of Diseases and Health Related Problems, 10th Revision, Australian Modification (ICD-10-AM) was investigated using a mixed quantitative-qualitative approach. The organisational variables studied were: hospital specialty; geographical locality; structural characteristics of the coding unit; education, training and resource supports for Clinical Coders; and quality control mechanisms. Baseline data on the hospitals' coding quality, measured by the Performance Indicators for Coding Quality tool, were used as an independent index measure. No differences were found in error rates between rural and metropolitan hospitals, or general and specialist hospitals. Clinical Coder allocation to "general" rather than "specialist" unit coding resulted in fewer errors. Coding Managers reported that coding quality can be improved by: Coders engaging in a variety of role behaviours; improved Coder career opportunities; higher staffing levels; reduced throughput; fewer time constraints on coding outputs and associated work; and increased Coder interactions with medical staff.

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This paper explains how routinely collected data can be used to examine the emergency department attendances of Victorian Aboriginal and Torres Strait Islander people. The data reported in the Victorian Emergency Minimum Dataset (VEMD) for the 2006/2007 financial year were analysed. The presentations of Aboriginal and Torres Strait Islander and non-Aboriginal people were compared in terms of age, gender, hospital location (metropolitan and rural) and presenting condition. Aboriginal and Torres Strait Islander people were found to attend the emergency department 1.8 times more often than non-Aboriginal people. While the emergency department presentation rates of metropolitan Aboriginal and Torres Strait Islander and non-Aboriginal people were similar, rural Aboriginal and Torres Strait Islander people presented to the emergency department 2.3 times more often than non-Aboriginal people. The injuries or poisonings, respiratory conditions and mental disorders presentation rates of the Aboriginal and Torres Strait Islander and non-Aboriginal population were compared. No previous studies have assessed the accuracy of the Indigenous status and diagnosis fields in the VEMD; therefore the quality of this data is unknown.

Background Governments have responsibility for ensuring the quality and fitness-for-purpose of personal health data provided to them. While these health information assets are used widely for research, this secondary usage has received minimal research attention. Objective This study aimed to investigate the secondary uses, in research, of population health and administrative datasets (information assets) of the Department of Health (DoH), Victoria, Australia. The objectives were to (i) identify research based on these datasets published between 2008 and 2020; (ii) describe the data quality studies published between 2008 and 2020 for each dataset and (iii) evaluate “fitness-for-purpose” of the published research. Method Using a modified scoping review, research publications from 2008 to 2020 based on information assets related to health service provision and containing person-level data were reviewed. Publications were summarised by data quality and purpose-categories based on a taxonomy of data use. Fitness-for-purpose was evaluated by comparing the publicly stated purpose(s) for which each information asset was collected, with the purpose(s) assigned to the published research. Results Of the >1000 information assets, 28 were utilised in 756 publications: 54% were utilised for general research purposes, 14% for patient safety, 10% for quality of care and 39% included data quality-related publications. Almost 85% of publications used information assets that were fit-for-purpose. Conclusion The DoH information assets were used widely for secondary purposes, with the majority identified as fit-for-purpose. We recommend that data custodians, including governments, provide information on data quality and transparency on data use of their health information assets.

Within Australia all unexpected deaths are investigated by the Coroners Court; specifically, the coroner investigates the identity of the deceased and the cause and circumstances of death. This 'unexpected death' category inevitably includes cases of self-harm and suicide. Concerns regarding the accurate reporting of national suicide statistics resulted in a review of the coding process undertaken by the Australian Bureau of Statistics (ABS), which produces the national statistics, and a formal Commonwealth Government Senate Inquiry in 2009. This article reflects data and opinions collected prior to the Senate Inquiry or the adjustment of the ABS coding processes, and explores the role of the Coroner in determining the intent of the deceased person and the role the National Coronial Information System (NCIS) 1 database plays in the provision of this information. At the Case Notification and Case Closure stages of the coronial process, administrative coders abstract from the coronial file the 'intent' of the deceased and enter the data into relevant administrative systems (which upload to the NCIS). The relevant intent code in the NCIS is 'Intentional Self-Harm', which incorporates deliberate actions of self-harm and suicide. A mixed-method study was employed to investigate anecdotal reports of a problematic coronial coding process surrounding this category of cases. A sample of Australian coroners (n=16), and of the national population of NCIS coders (n=36), were surveyed using separate instruments, and an unobtrusive case review of sampled NCIS cases (n=127) reflecting nine key mechanisms-of-death, was undertaken. Each Australian state and territory has its own Coroners Act, none of which provides legislative direction regarding the determination of intent by the coroner. Neither the coroner-respondents nor the coders favoured a standard proforma to record 'intent'. In order to inform their classificatory decision-making regarding the deceased's 'intent', the coders need to abstract extensively from the entire case file, scrutinising documentary materials from different investigators. They rely primarily on the police report at Case Notification and the coroner's finding at Case Completion. Coders do not generally perceive the classification of 'intent' to be problematic; however, despite NCIS-provided coder (technical) support materials, there exist inconsistent coder work practices and, sometimes, absent documentary evidence reflecting lack of information for ascertainment and interpretation by the coroner, investigators, and forensic experts on the 'intent' of the deceased. The gap between what a coroner is legally required to document regarding 'intent' and what society needs to know for statistical and preventive purposes, seems problematic to bridge.

This article empirically defines the formal pathways and processes that enable and frame hospital clinical classification in an activity-based funding environment. These structured actions include: learning and training; abstracting; clinical knowledge locating and confirming; coder-doctor communication; coder-coder communication; the complicated sub-set of code searching and decision-making processes that constitute practical clinical 'coding'; allocation to diagnosis-related groups; confirmation of financial reimbursement; auditing; and quality management practices to ensure the integrity of the multiple outputs and outcomes of clinical coding. An analogy of these complex, exacting, and knowledge-dense work practices is made with the 20th century avant-garde art movement of Cubism: the creation of Pablo Picasso's The three musicians is used as a metaphor for clinical/health classification work.

This paper reviews the documentation and coding of External causes of admitted fall cases in a major hospital. Intensive analysis of a random selection of 100 medical records included blind re-coding in the International Statistical Classification of Diseases and Related Health Problems, Tenth revision, Australian Modification (ICD-10-AM), Fifth Edition for External causes to ascertain whether: (i) the medical records contained sufficient information for assignment of specific External cause codes; and (ii) the most appropriate External cause codes were assigned per available documentation. Comparison of the hospital data with the state-wide Victorian Admitted Episodes Database (VAED) data on frequency of use of External cause codes revealed that the index hospital, a major trauma centre, treated comparatively more falls involving steps, stairs and ladders. The hospital sample reflected lower usage, than state-wide, of unspecified External cause codes and Other specified activity codes; otherwise, there was similarity in External cause coding. A comparison of researcher and hospital codes for the falls study sample revealed differences. The ambulance report was identified as the best source of External cause information; only 50% of hospital medical records contained sufficient information for specific code assignation for all three External cause codes, mechanism of injury, place of occurrence and activity at time of injury. Whilst all medical records contained mechanism of falls injury information, 16% contained insufficient details, indicating a deficiency in medical record documentation to underpin external cause coding. This was compounded by flaws in the ICD-10-AM classification.