Data-driven process and operational improvement in the emergency department: The ED Dashboard and Reporting Application
Clinical Services Group, Sky Ridge Medical Center, Carepoint, USA.Journal of healthcare management / American College of Healthcare Executives (Impact Factor: 0.73). 11/2011; 57(3):167-80; discussion 180-1.
Emergency departments (EDs) in the United States are expected to provide consistent, high-quality care to patients. Unfortunately, EDs are encumbered by problems associated with the demand for services and the limitations of current resources, such as overcrowding, long wait times, and operational inefficiencies. While increasing the effectiveness and efficiency of emergency care would improve both access and quality of patient care, coordinated improvement efforts have been hindered by a lack of timely access to data. The ED Dashboard and Reporting Application was developed to support data-driven process improvement projects. It incorporated standard definitions of metrics, a data repository, and near real-time analysis capabilities. This helped acute care hospitals in a large healthcare system evaluate and target individual improvement projects in accordance with corporate goals. Subsequently, there was a decrease in "arrival to greet" time--the time from patient arrival to physician contact--from an average of 51 minutes in 2007 to the goal level of less than 35 minutes by 2010. The ED Dashboard and Reporting Application has also contributed to data-driven improvements in length of stay and other measures of ED efficiency and care quality. Between January 2007 and December 2010, overall length of stay decreased 10.5 percent while annual visit volume increased 13.6 percent. Thus, investing in the development and implementation of a system for ED data capture, storage, and analysis has supported operational management decisions, gains in ED efficiency, and ultimately improvements in patient care.
- Clinical nurse specialist CNS 03/2013; 27(2):61-2. DOI:10.1097/NUR.0b013e31828191b5 · 0.99 Impact Factor
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ABSTRACT: There is a vast array of clinical and quality data available within healthcare organisations. The availability of this data in a timely and easy to visualise way is an essential component of high-performing healthcare teams. It is recognised that good quality information is a driver of performance for clinical teams and helps ensure best possible care for patients. In 2012 the Internal Medicine Program at The Prince Charles Hospital developed a clinical dashboard that displays locally relevant information alongside relevant hospital and statewide metrics that inform daily clinical decision making. The data reported on the clinical dashboard is driven from data sourced from the electronic patient journey board in real time as well as other Queensland Health data sources. This provides clinicians with easy access to a wealth of local unit data presented in a simple graphical format that is being captured locally and arranged on a single screen so the information can be monitored at a glance. Local unit data informs daily decisions that identify and confirm patient flow problems, assist to identify root causes and enable evaluation of patient flow solutions.Australian health review: a publication of the Australian Hospital Association 05/2013; 37(3). DOI:10.1071/AH12018 · 0.73 Impact Factor
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ABSTRACT: To assess the development of local clinical dashboards in line with UK national guidance and to identify ongoing issues being faced by maternity units, across an entire health region, in developing quality assurance systems. A mixed-methods study involving all consultant-led maternity units in the South West of England Strategic Health Authority region (SWSHA). An electronic survey, followed by semi-structured interviews with the lead obstetrician and risk management midwife (or equivalent) of each maternity unit, to investigate methods employed to monitor outcomes locally, particularly the development of tools including maternity dashboards. Interviews were audio recorded, transcribed and thematically analysed to identify conceptual categories and themes. 12/15 eligible consultant-led maternity units participated in the study and 10/12 (83%) of these used a dashboard. There was an excessive number of non-standard indicators used by the maternity units, with 352 different quality indicators (QIs), covering 37 different indicator categories, with up to 39 different definitions for one particular QI. Issues identified were: an excess of indicators, disproportionate time taken to produce the dashboard, uncertainty surrounding thresholds for alert within the dashboards and a desire for more guidance and standardisation of indicators, and their use. Following recommendation by the Royal College of Obstetricians and Gynaecologists, maternity dashboards have been widely adopted by maternity units across the SWSHA to provide a local quality assurance system. There is, however, wide variation in both the quality indicators monitored and their definition. There is an urgent requirement for a national and international core set of maternity QIs. Further guidance is also required to inform alert thresholds for adverse outcomes. These perinatal data are collected electronically, and automating the production of a standardised dashboard is both possible and desirable.European journal of obstetrics, gynecology, and reproductive biology 07/2013; 170(1). DOI:10.1016/j.ejogrb.2013.06.003 · 1.70 Impact Factor
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