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.

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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 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.

Allergic responses to prescription drugs are largely preventable, and incur significant cost to the community both financially and in terms of healthcare outcomes. The capacity to minimise the effects of repeated events rests predominantly with the reliability of allergy documentation in medical records and computerised physician order entry systems (CPOES) with decision support such as allergy alerts. This paper presents an overview of the nature and extent of adverse drug reactions (ADRs) in Australia and other developed countries, a discussion and evaluation of strategies which have been devised to address this issue, and a commentary on the role of coded data in informing this patient safety issue. It is not concerned with pharmacovigilance systems that monitor ADRs on a global scale. There are conflicting reports regarding the efficacy of these strategies. Although in many cases allergy alerts are effective, lack of sensitivity and contextual relevance can often induce doctors to override alerts. Human factors such as user fatigue and inadequate adverse drug event reporting, including ADRs, are commonplace. The quality of and response to allergy documentation can be enhanced by the participation of nurses and pharmacists, particularly in medication reconciliation. The International Classification of Diseases (ICD) coding of drug allergies potentially yields valuable evidence, but the quality of local and national level coded data is hampered by under-documenting and under-coding.