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.

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.

Development of an Abstraction Tool to Assess Palliative Care Components

Background: Little is known regarding the fidelity of delivery of guideline-recommended components of palliative care in “real world” encounters. Objective: To develop a qualitative coding framework to identify components of clinical palliative care in clinical documentation across care settings. Design: Retrospective review of palliative care clinical documentation from medical providers, with directed qualitative content analysis to identify components of clinical care documented. Setting/Subjects: Purposively sampled deceased patients seen by palliative care at a US academic medical center between 7/1/2011–7/1/2018. Main Outcomes and Measures: The outcome of this work is a coding framework for use in future research. We assessed the robustness of the framework using Cohen’s kappa. Results: We reviewed sixty-two encounters from twenty-six patients. We identified 7 major themes in documentation: (1) addressing physical symptoms, (2) addressing psychological symptoms, (3) establishing illness understanding, (4) supporting decision making, (5) end-of-life planning, (6) understanding psychosocial context, and (7) care coordination. Interrater reliability varied widely between components, with Cohen’s kappa ranging from −.51 to 1. Conclusions: This pilot study provides a coding framework to measure documentation of clinical palliative care components. Several components could not be reliably identified using this framework, suggesting the need for additional measurement strategies.

Music therapy methods, strategies and techniques for engaging children in meaningful music therapy encounters in hospital play therapy settings

<p>This qualitative study examines a music therapy student’s practice on a paediatric ward in a general hospital in New Zealand. The study arose after I experienced challenges engaging and interacting with patients in a hospital play therapy setting, where patients stay was short-term. The research identified the music therapy methods, techniques and strategies I used to initiate and sustain musical interaction with them. Findings were generated from secondary analysis of two months’ worth of clinical documentation and reflection. Both inductive and deductive thematic analysis was used to analyse the clinical data and reflection. The literature on paediatric music therapy, musical play and play therapy were reviewed. Findings are presented in two parts. The first section highlights the predominant music therapy methods I used: range of instruments, singing, use of props, listening, use of discussion and musical games; and the overlaps of strategies and techniques within. The second section identifies four main categories of music therapy goals to illustrate the unique and subtle differences of music therapy methods, strategies and techniques in relation to the goals. Subsequently, in the discussion section, findings are considered in the light of the literature, and limitations of the research are addressed.</p>

Music therapy methods, strategies and techniques for engaging children in meaningful music therapy encounters in hospital play therapy settings

<p>This qualitative study examines a music therapy student’s practice on a paediatric ward in a general hospital in New Zealand. The study arose after I experienced challenges engaging and interacting with patients in a hospital play therapy setting, where patients stay was short-term. The research identified the music therapy methods, techniques and strategies I used to initiate and sustain musical interaction with them. Findings were generated from secondary analysis of two months’ worth of clinical documentation and reflection. Both inductive and deductive thematic analysis was used to analyse the clinical data and reflection. The literature on paediatric music therapy, musical play and play therapy were reviewed. Findings are presented in two parts. The first section highlights the predominant music therapy methods I used: range of instruments, singing, use of props, listening, use of discussion and musical games; and the overlaps of strategies and techniques within. The second section identifies four main categories of music therapy goals to illustrate the unique and subtle differences of music therapy methods, strategies and techniques in relation to the goals. Subsequently, in the discussion section, findings are considered in the light of the literature, and limitations of the research are addressed.</p>

Functional IT Complementarity and Hospital Performance in the United State: A Longitudinal Investigation

For healthcare practitioners and policymakers, one of the most challenging problems is understanding how to implement health information technology (HIT) applications in a way that yields the most positive impacts on quality and cost of care. We identify four clinical HIT functions which we label as order entry and management (OEM), decision support (DS), electronic clinical documentation (ECD), and results viewing (RV). We view OEM and DS as primary clinical functions and ECD and RV as support clinical functions. Our results show that no single combination of applications uniformly improves clinical and experiential quality and reduces cost for all hospitals. Thus, managers must assess which HIT interactions improve which performance metric under which conditions. Our results suggest that synergies can be realized when these systems are implemented simultaneously. Additionally, synergies can occur when support HIT is implemented before primary HIT and irrespective of the order in which primary HITs are implemented. Practitioners should also be aware that the synergistic effects of HITs and their impact on cost and quality are different for chronic and acute diseases. Our key message to top managers is to prioritize different combinations of HIT contingent on the performance variables they are targeting for their hospitals but also to realize that technology may not impact all outcomes.

Prevalence of Pediatric and Adolescent Balance Disorders: Analysis of a Mono-Institutional Series of 472 Patients

(1) Background: To assess the prevalence and frequency distribution of balance disorders in children and adolescents to delineate the planning of a targeted clinical and instrumental diagnostic work-up; (2) Methods: Retrospective analysis of the clinical documentation of patients under 18 years suffering from balance disorders from 2010 to 2019. Detailed collection of clinical history, accurate clinical examination, including both nystagmus and vestibulospinal signs examinations, and specific instrumental testing were the basis of the diagnostic process. (3) Results: A total of 472 participants were included in the study. Vestibular loss (26.1%) was the most frequent cause of vertigo in children, followed by vestibular migraine (21.2%) and benign paroxysmal positional vertigo (10.2%). In 1.1% of patients, the cause of vertigo remained undefined; (4) Conclusions: The diagnostic process applied was effective in understanding the cause of balance disorders in most cases and prevents more complex and expensive investigations reserved for only a few selected cases.

Linking Free Text Documentation of Functioning and Disability to the ICF With Natural Language Processing

Background: Invaluable information on patient functioning and the complex interactions that define it is recorded in free text portions of the Electronic Health Record (EHR). Leveraging this information to improve clinical decision-making and conduct research requires natural language processing (NLP) technologies to identify and organize the information recorded in clinical documentation.Methods: We used natural language processing methods to analyze information about patient functioning recorded in two collections of clinical documents pertaining to claims for federal disability benefits from the U.S. Social Security Administration (SSA). We grounded our analysis in the International Classification of Functioning, Disability, and Health (ICF), and used the Activities and Participation domain of the ICF to classify information about functioning in three key areas: mobility, self-care, and domestic life. After annotating functional status information in our datasets through expert clinical review, we trained machine learning-based NLP models to automatically assign ICF categories to mentions of functional activity.Results: We found that rich and diverse information on patient functioning was documented in the free text records. Annotation of 289 documents for Mobility information yielded 2,455 mentions of Mobility activities and 3,176 specific actions corresponding to 13 ICF-based categories. Annotation of 329 documents for Self-Care and Domestic Life information yielded 3,990 activity mentions and 4,665 specific actions corresponding to 16 ICF-based categories. NLP systems for automated ICF coding achieved over 80% macro-averaged F-measure on both datasets, indicating strong performance across all ICF categories used.Conclusions: Natural language processing can help to navigate the tradeoff between flexible and expressive clinical documentation of functioning and standardizable data for comparability and learning. The ICF has practical limitations for classifying functional status information in clinical documentation but presents a valuable framework for organizing the information recorded in health records about patient functioning. This study advances the development of robust, ICF-based NLP technologies to analyze information on patient functioning and has significant implications for NLP-powered analysis of functional status information in disability benefits management, clinical care, and research.