Utilization of Workflow Process Maps to Analyze Gaps in Critical Event Notification at a Large, Urban Hospital

Stroke care is a time-sensitive workflow involving multiple specialties acting in unison, often relying on one-way paging systems to alert care providers. The goal of this study was to map and quantitatively evaluate such a system and address communication gaps with system improvements. A workflow process map of the stroke notification system at a large, urban hospital was created via observation and interviews with hospital staff. We recorded pager communication regarding 45 patients in the emergency department (ED), neuroradiology reading room (NRR), and a clinician residence (CR), categorizing transmissions as successful or unsuccessful (dropped or unintelligible). Data analysis and consultation with information technology staff and the vendor informed a quality intervention—replacing one paging antenna and adding another. Data from a 1-month post-intervention period was collected. Error rates before and after were compared using a chi-squared test. Seventy-five pages regarding 45 patients were recorded pre-intervention; 88 pages regarding 86 patients were recorded post-intervention. Initial transmission error rates in the ED, NRR, and CR were 40.0, 22.7, and 12.0 %. Post-intervention, error rates were 5.1, 18.8, and 1.1 %, a statistically significant improvement in the ED (p < 0.0001) and CR (p = 0.004) but not NRR (p = 0.208). This intervention resulted in measureable improvement in pager communication to the ED and CR. While results in the NRR were not significant, this intervention bolsters the utility of workflow process maps. The workflow process map effectively defined communication failure parameters, allowing for systematic testing and intervention to improve communication in essential clinical locations.

[1]  P. Hand,et al.  Does a ‘code stroke’ rapid access protocol decrease door‐to‐needle time for thrombolysis? , 2012, Internal medicine journal.

[2]  Koroshetz Wj,et al.  Tissue plasminogen activator for acute ischemic stroke. , 1996, The New England journal of medicine.

[3]  Gregory W Albers,et al.  Time to treatment with intravenous alteplase and outcome in stroke: an updated pooled analysis of ECASS, ATLANTIS, NINDS, and EPITHET trials , 2010, The Lancet.

[4]  Michael M. Abecassis,et al.  The use of technology for urgent clinician to clinician communications: A systematic review of the literature , 2015, Int. J. Medical Informatics.

[5]  M. Wintermark,et al.  Guidelines for the Early Management of Patients With Acute Ischemic Stroke: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association , 2013, Stroke.

[6]  E. Patterson,et al.  Improving Clinical Workflow in Ambulatory Care: Implemented Recommendations in an Innovation Prototype for the Veteran’s Health Administration , 2015, EGEMS.

[7]  Robert A. Zimmerman,et al.  Special report from the National Institute of Neurological Disorders and Stroke. Classification of cerebrovascular diseases III. , 1990, Stroke.

[8]  J. Zivin,et al.  Acute stroke therapy with tissue plasminogen activator (tPA) since it was approved by the U.S. Food and Drug Administration (FDA) , 2009, Annals of neurology.

[9]  Walter J Koroshetz,et al.  Arterial occlusion revealed by CT angiography predicts NIH stroke score and acute outcomes after IV tPA treatment. , 2005, AJNR. American journal of neuroradiology.

[10]  Andrew D. Nicholson,et al.  Initial experience with upfront arterial and perfusion imaging among ischemic stroke patients presenting within the 4.5-hour time window. , 2014, Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association.

[11]  Brian Stewart,et al.  Applying the Principles of Lean Production to Gastrointestinal Biopsy Handling: From the Factory Floor to the Anatomic Pathology Laboratory. , 2015, Laboratory medicine.

[12]  Factors influencing door-to-imaging time: analysis of the safe implementation of treatments in Stroke-EAST registry. , 2014, Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association.

[13]  Roland Bammer,et al.  Relationships Between Infarct Growth, Clinical Outcome, and Early Recanalization in Diffusion and Perfusion Imaging for Understanding Stroke Evolution (DEFUSE) , 2008, Stroke.

[14]  J. Saver Time Is Brain—Quantified , 2006, Stroke.

[15]  Zsolt Garami,et al.  Site of Arterial Occlusion Identified by Transcranial Doppler Predicts the Response to Intravenous Thrombolysis for Stroke , 2007, Stroke.

[16]  H. Dewey,et al.  Impact of acute stroke team emergency calls on in-hospital delays in acute stroke care , 2007, Journal of Clinical Neuroscience.

[17]  Adrienne E. Faerber,et al.  Development and pilot feasibility study of a health information technology tool to calculate mortality risk for patients with asymptomatic carotid stenosis: the Carotid Risk Assessment Tool (CARAT) , 2015, BMC Medical Informatics and Decision Making.

[18]  K. McEnery Coordinating patient care within radiology and across the enterprise. , 2014, Journal of the American College of Radiology : JACR.

[19]  Ingrid M. Nembhard,et al.  Assessing the Evidence of Six Sigma and Lean in the Health Care Industry , 2010, Quality management in health care.

[20]  A. G. Pastor,et al.  Factors associated with in-hospital delays in treating acute stroke with intravenous thrombolysis in a tertiary centre. , 2016 .

[21]  V. Nadkarni,et al.  Development of a Quality Improvement Bundle to Reduce Tracheal Intubation–Associated Events in Pediatric ICUs , 2016, American journal of medical quality : the official journal of the American College of Medical Quality.

[22]  R. V. Bucci,et al.  A Lean Six Sigma journey in radiology. , 2011, Radiology management.

[23]  Jens Karstoft,et al.  Is Lean Management implementable in a department of radiology? , 2011, Insights into imaging.

[24]  Joseph A Cafazzo,et al.  Technological aspects of hospital communication challenges: an observational study. , 2015, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[25]  A. G. Pastor,et al.  Factors associated with in-hospital delays in treating acute stroke with intravenous thrombolysis in a tertiary centre. , 2016, Neurologia.

[26]  Heather Hagg,et al.  Implementing Lean Six Sigma Methodologies in the Radiology Department of a Hospital Healthcare System , 2007 .

[27]  Paul Nagy,et al.  Business intelligence for the radiologist: making your data work for you. , 2014, Journal of the American College of Radiology : JACR.

[28]  Ramin Khorasani,et al.  Business Intelligence Tools for Radiology: Creating a Prototype Model Using Open-Source Tools , 2010, Journal of Digital Imaging.

[29]  Joseph P. Broderick,et al.  Tissue plasminogen activator for acute ischemic stroke. The National Institute of Neurological Disorders and Stroke rt-PA Stroke Study Group. , 1995 .