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Clinical, administrative and demographic health information is fundamental to understanding the nature of health and evaluating the effectiveness of efforts to reduce morbidity and mortality of the population. The demographic data item 'location' is an integral part of any injury surveillance tool or injury prevention strategy. The true value of location data can only be realised once these data have been appropriately classified and quality assured. Geocoding as a means of classifying location is increasingly used in various health fields to enable spatial analysis of data. This article reports on research carried out in Australia at the National Coroners Information System (NCIS). Trends in the use of NCIS location-based data by researchers were identified. The research also aimed to establish the factors that impacted on the quality of geocoded data and the extent of this impact. A systematic analysis of the geocoding process identified source documentation, data cleaning, and software settings as key factors impacting on data quality. Understanding and application of these processes can improve data quality and therefore inform the analysis and interpretation of these data by researchers.

Falls are the leading cause of hospital-treated injuries in Australia. Injury surveillance data are analysed to identify common causes and types of fall injuries, risk factors for particular activities, location of injury occurrence, and age groups at risk of injury. External cause of injury data include cause of injury, place of occurrence, and activity when injured. These are collected in hospitals, where ICD-10-AM codes are assigned by Health Information Managers and clinical coders, based on medical record documentation. The current study examined the extent and quality of Victorian coded data on external cause of injury due to a fall, assessed its usefulness for injury prevention, and compared the Victorian and Australia-wide data. This involved an analysis, using the Victorian Admitted Episode Dataset, of 38,153 hospital separations in 2007–08 for fall injuries and a comparison with the 2003–04 national data. This showed similar usage of External cause codes in Victoria and Australia-wide. There was overuse of residual categories such as Other and Unspecified, these being assigned in 73.8% of separations in Victoria and 71.6% nationally. The problem of overuse of Unspecified external cause codes for hospitalised fall injuries is arguably multifactorial. Inevitably, this overuse reduces the value of the coded data for injury surveillance and prevention, and for monitoring of the public health.

The unimpeded functioning of hospital Health Information Services (HIS) is essential for patient care, clinical governance, organisational performance measurement, funding and research. In an investigation of hospital Health Information Services' preparedness for internal disasters, all hospitals in the state of Victoria with the following characteristics were surveyed: they have a Health Information Service/Department; there is a Manager of the Health Information Service/Department; and their inpatient capacity is greater than 80 beds. Fifty percent of the respondents have experienced an internal disaster within the past decade, the majority affecting the Health Information Service. The most commonly occurring internal disasters were computer system failure and floods. Two-thirds of the hospitals have internal disaster plans; the most frequently occurring scenarios provided for are computer system failure, power failure and fire. More large hospitals have established back-up systems than medium- and small-size hospitals. Fifty-three percent of hospitals have a recovery plan for internal disasters. Hospitals typically self-rate as having a 'medium' level of internal disaster preparedness. Overall, large hospitals are better prepared for internal disasters than medium and small hospitals, and preparation for disruption of computer systems and medical record services is relatively high on their agendas.

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.