Innovations in clinical documentation integrity practice: Continual adaptation in a data-intensive healthcare organisation

Background Numbers of clinical documentation integrity specialists (CDIS) and CDI programs have increased rapidly. CDIS review patient records concurrently with patient admissions and visits to ensure that information is accurate, complete and non-ambiguous, and query clinicians when they see opportunities for improving data. The occupation was initially focused on improving data for reimbursement, but rapid changes to clinical coding requirements, technologies and payment systems led to a quickly evolving role for CDI programs and changes in CDIS practice. Objective This case study seeks to uncover the ongoing innovation and adaptation occurring in a CDI program by tracing the evolution of a single CDI program over time. Method We present a case study of the CDI program at the HonorHealth hospital system in Arizona. Results The HonorHealth CDI program holds a unique hybrid expertise and role within the healthcare organisation that allows it to rapidly adapt to support emergent demands both internal and external to the organisation, such as supporting accurate data collection for the COVID-19 pandemic. Conclusion CDIS are a vital component in present data-intensive resourcing efforts. The hybrid expertise of CDIS and capacity for adaption and relationship building has enabled the HonorHealth CDI program to adapt rapidly to meet a growing array of clinical documentation integrity needs, including emergent needs during the COVID-19 pandemic. Implications The HonorHealth case study can guide other CDI programs in adaptation of the CDI role and practices in response to changing organisational needs.

Completeness and accuracy of adverse drug reaction documentation in electronic medical records at a tertiary care hospital in Australia

Background: A large proportion of patients presenting to hospitals have experienced a previous adverse drug reaction (ADR). Electronic medical records (EMRs) present an opportunity to accurately document ADRs and alert clinicians against inadvertent rechallenge where there is a pre-existing reaction. However, EMR systems are imperfect and rely on the accuracy of the data entered. Objective: To ascertain the completeness of ADR documentation and the accuracy of the classification of ADRs as allergy versus intolerance in the EMR at a major metropolitan hospital in Australia. Method: Cross-sectional audit of the ADR field of the EMR for a sample of patients on four different wards over 3 weeks to ascertain the completeness of ADR documentation and the accuracy of classification of ADRs. Results: Of the 264 patients assessed, 102 (38.6%) had a total of 210 ADRs documented in the EMR. Of these, 105 (50%) were considered to have complete documentation; 63/210 (30.0%) were missing a reaction description and 88/210 (41.9%) were missing severity information. For those ADRs with a reaction description ( n = 147), 97 (66.0%) were considered to be appropriately classified as allergy or intolerance. Conclusion: Incomplete and inaccurate ADR documentation was common. These findings highlight a need for optimising ADR documentation to improve appropriate medication use in hospital. Implications: Improved EMR design and education of healthcare workers on the importance of complete and accurate documentation of reactions are needed to improve completeness and accuracy of ADR classification.

Identification of root causes of clinical coding problems in Iranian hospitals

Background Improving the quality of coded data requires the identification and evaluation of the root causes of clinical coding problems to inform appropriate solutions. Objective The objective of this study was to identify the root causes of clinical coding problems. Method Twenty-one clinical coders from three cities in Iran were interviewed. The five formal categories in Ishikawa's cause-and-effect diagram were applied as pre-determined themes for the data analysis. Results The study indicated 16 root causes of clinical coding problems in the five main themes: (i) policies, protocols, and processes (lack of clinical documentation guidelines; lack of audit of clinical coding and feedback to clinical coders; the long interval between documentation and clinical coding; and not using coded data for reimbursement; (ii) individual factors (shortage of clinical coders; low-skilled clinical coders; clinical coders' insufficient communication with physicians; and the lack of continuing education; (iii) equipment and materials (incomplete medical records; lack of access to electronic medical records and electronic coding support tools; (iv) working environment (lack of an appropriate, dynamic, and motivational workspace; and (v) management factors (mangers' inattention to the importance of coding and clinical documentation; and to providing the required staff support. Conclusion The study identified 16 root causes of clinical coding problems that stand in the way of clinical coding quality improvement. Implications The quality of clinical coding could be improved by hospital managers and health policymakers taking these problems into account to develop strategies and implement solutions that target the root causes of clinical coding problems.

Is training doctors in medical certification effective? Evidence from a prospective study in the Philippines

Background Correct certification of causes of death by physicians according to International Classification of Diseases (ICD) rules is essential to generate mortality statistics of the quality needed to guide public health policy debates and reliably monitor the impact of health interventions. Several efforts to train doctors have been undertaken in the Philippines to improve Medical Certification of Causes of Death (MCCOD). However, there is very little evidence about the long-term effects of training interventions for medical certification. Objective To test whether there were measurable long-term impacts of this large-scale training intervention for improving medical certification and reducing different types of certification errors. Method We assessed the quality of 2100 MCCOD completed before face-to-face training with those written by the same doctors 6 months after the training. An assessment tool was used to evaluate the quality of MCCOD. Results Less than 1% of the 2100 MCCOD assessed prior to the training were completely error-free, increasing to 19.2% 6 months after the training. On average, the number of errors per certificate fell from 2.2 pre-training to 1.3, six months after training. Importantly, there was a 38% decrease in writing ill-defined causes on the last line, which is particularly important for the policy utility of data. Conclusion Training doctors in correct medical certification can have a long-term impact on medical certification practices. Implications Shorter, more focused, trainings that address the most common medical certification errors could have an even greater impact on medical certification practices.

Family violence homicide rates: a state-wide comparison of three data sources in Victoria, Australia

Background Family violence homicide (FVH) is a major public health and social problem in Australia. FVH trend rates are key outcomes that determine the effectiveness of current management practices and policy directions. Data source–related methodological problems affect FVH research and policy and the reliable measurement of homicide trends. Objective This study aimed to determine data reliability and temporal trends of Victorian FVH rates and sex and relationship patterns. Method FVH rates per 100,000 persons in Victoria were compared between the National Coronial Information System (NCIS), Coroners Court of Victoria (CCoV) Homicide Register, and the National Homicide Monitoring Program (NHMP). Trends for 2001–2017 were analysed using Joinpoint regression. Crude rates were determined by sex and relationship categories using annual frequencies and Australian Bureau of Statistics population estimates. Results NCIS closed FVH cases totalled 360, and an apparent downward trend in the FVH rate was identified. However, CCoV and NHMP rates trended upwards. While NCIS and CCoV were case-based, NHMP was incident-based, contributing to rate variations. The NCIS-derived trend was particularly impacted by unavailable case data, potential coding errors and entry backlog. Neither CCoV nor NHMP provided victim-age in their public domain data to enable age-adjusted rate comparison. Conclusion Current datasets have limitations for FVH trend determination; most notably lag times for NCIS data. Implications This study identified an indicative upward trend in FVH rates in Victoria, suggesting insufficiency of current management and policy settings for its prevention and control.

Training and experience of coding with the World Health Organization’s International Classification of Diseases, Eleventh Revision

Background: The new International Classification of Diseases, Eleventh Revision for Mortality and Morbidity Statistics (ICD-11) was developed and released by the World Health Organization (WHO) in June 2018. Because ICD-11 incorporates new codes and features, training materials for coding with ICD-11 are urgently needed prior to its implementation. Objective: This study outlines the development of ICD-11 training materials, training processes and experiences of clinical coders while learning to code using ICD-11. Method: Six certified clinical coders were recruited to code inpatient charts using ICD-11. Training materials were developed with input from experts from the Canadian Institute for Health Information and the WHO, and the clinical coders were trained to use the new classification. Monthly team meetings were conducted to enable discussions on coding issues and to select the correct ICD-11 codes. The training experience was evaluated using qualitative interviews, a questionnaire and a coding quiz. Results: total of 3011 charts were coded using ICD-11. In general, clinical coders provided positive feedback regarding the training program. The average score for the coding quiz (multiple choice, True/False) was 84%, suggesting that the training program was effective. Feedback from the coders enabled the ICD-11 code content, electronic tooling and terminologies to be updated. Conclusion: This study provides a detailed account of the processes involved with training clinical coders to use ICD-11. Important findings from the interviews were reported at the annual WHO conferences, and these findings helped improve the ICD-11 browser and reference guide.

Awareness, attitude and practice towards personal health information privacy among health information management professionals in South Korea

Background: While information and communication technology has continued to advance, privacy of personal health information (PHI) has remained a challenge for health information management (HIM) professionals. Objective: This study aims to examine the awareness, attitude and practice relating to PHI privacy among HIM professionals in South Korea. Method: A survey questionnaire was developed for the study based on critical appraisal of relevant literature and expert consensus. It was completed by a sample of 312 respondents who were members of the Korean Health Information Management Association, over the age of 21, and worked in a healthcare organisation. Demographic data and questionnaire items (assessed on a 5-point Likert-type scale) were analysed using descriptive statistics, t-tests and ANOVA. Results: Mean scores and SDs for awareness, attitude and practice related to PHI privacy were calculated: 4.21 (0.60) for awareness, 4.17 (0.60) for attitude and 4.31 (0.63) for practice. Significant positive correlations were found between awareness and attitude scores (r = 0.765, p < 0.01); awareness and practice scores (r = 0.585; p < 0.01); and attitude and action scores (r = 0.672; p < 0.01). HIM professionals’ awareness, attitude, and practice towards PHI privacy differed significantly according to age, level of education, years of HIM experience, type of employment, main task, number of completed privacy education activities within the previous 3 years and whether or not they had signed a pledge of confidentiality on PHI. Better-educated, full-time employed respondents, those who had completed a greater number of privacy education activities and had more experience as HIM professionals, achieved higher scores on awareness, attitude and practice than did other respondents. These differences were all statistically significant ( p < 0.01). Conclusion: Although causality cannot be inferred from results of this study, findings suggest that there is a relationship between PHI being a core responsibility of HIM professionals and their subsequent awareness, attitude and practice to ensure its privacy and confidentiality. To improve privacy practice, educational efforts should be prioritised and supported at all levels, including national, organisational, individual, and by professional HIM associations.