5 research outputs found

    Mapping Turnaround Times (TAT) to a Generic Timeline: A Systematic Review of TAT Definitions in Clinical Domains

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    <p>Abstract</p> <p>Background</p> <p>Assessing turnaround times can help to analyse workflows in hospital information systems. This paper presents a systematic review of literature concerning different turnaround time definitions. Our objectives were to collect relevant literature with respect to this kind of process times in hospitals and their respective domains. We then analysed the existing definitions and summarised them in an appropriate format.</p> <p>Methods</p> <p>Our search strategy was based on Pubmed queries and manual reviews of the bibliographies of retrieved articles. Studies were included if precise definitions of turnaround times were available. A generic timeline was designed through a consensus process to provide an overview of these definitions.</p> <p>Results</p> <p>More than 1000 articles were analysed and resulted in 122 papers. Of those, 162 turnaround time definitions in different clinical domains were identified. Starting and end points vary between these domains. To illustrate those turnaround time definitions, a generic timeline was constructed using preferred terms derived from the identified definitions. The consensus process resulted in the following 15 terms: admission, order, biopsy/examination, receipt of specimen in laboratory, procedure completion, interpretation, dictation, transcription, verification, report available, delivery, physician views report, treatment, discharge and discharge letter sent. Based on this analysis, several standard terms for turnaround time definitions are proposed.</p> <p>Conclusion</p> <p>Using turnaround times to benchmark clinical workflows is still difficult, because even within the same clinical domain many different definitions exist. Mapping of turnaround time definitions to a generic timeline is feasible.</p

    A Fit between Clinical Workflow and Health Care Information Systems: Not waiting for Godot but making the journey

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    Health care has long suffered from inefficiencies due to the fragmentation of patient care information and the lack of coordination between health professionals [1]. Health care information systems (HISs) have been lauded as tools to remedy such inefficiencies [2, 3]. The primary idea behind the support of their implementation in health care is that these systems support clinical workflow and thereby decrease medical errors [2]. However, their introduction to health care settings have been accompanied by a transformation of the way their primary users, care providers, carry out clinical tasks and establish or maintain work relationships [4]. Studies have shown that these transformations have not always been productive [5, 6]

    A Fit between Clinical Workflow and Health Care Information Systems

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    A Fit between Clinical Workflow and Health Care Information Systems

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    Patient Safety and Quality: An Evidence-Based Handbook for Nurses

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    Compiles peer-reviewed research and literature reviews on issues regarding patient safety and quality of care, ranging from evidence-based practice, patient-centered care, and nurses' working conditions to critical opportunities and tools for improvement
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