Effects of Lean Interventions Supported by Digital Technologies on Healthcare Services: A Systematic Review

Despite the increasing utilization of lean practices and digital technologies (DTs) related to Industry 4.0, the impact of such dual interventions on healthcare services remains unclear. This study aims to assess the effects of those interventions and provide a comprehensive understanding of their dynamics in healthcare settings. The methodology comprised a systematic review following the PRISMA guidelines, searching for lean interventions supported by DTs. Previous studies reporting outcomes related to patient health, patient flow, quality of care, and efficiency were included. Results show that most of the improvement interventions relied on lean methodology followed by lean combined with Six Sigma. The main supporting technologies were simulation and automation, while emergency departments and laboratories were the main settings. Most interventions focus on patient flow outcomes, reporting positive effects on outcomes related to access to service and utilization of services, including reductions in turnaround time, length of stay, waiting time, and turnover time. Notably, we found scarce outcomes regarding patient health, staff wellbeing, resource use, and savings. This paper, the first to investigate the dual intervention of DTs with lean or lean–Six Sigma in healthcare, summarizes the technical and organizational challenges associated with similar interventions, encourages further research, and promotes practical applications.

Optimization of the Chronic Kidney Disease-Peritoneal Dialysis App to Improve Care for Patients on Peritoneal Dialysis in Northeast Thailand: User-Centered Design Study

Background

The prevalence of peritoneal dialysis (PD) in Thailand is increasing rapidly in part because of Thailand’s Peritoneal Dialysis First policy. PD is a home-based renal replacement therapy in which patients with chronic kidney disease perform up to 4 exchanges of dialysate fluid per day in the peritoneal cavity. Overhydration is one of the most common complications in patients on PD and is associated with increased morbidity and mortality. To monitor hydration status, patients collect hydration metrics, including body weight, blood pressure, urine output, and ultrafiltration volume, from each dialysis cycle and enter this information into a PD logbook. This information is reviewed bimonthly at PD clinic appointments. The chronic kidney disease-PD (CKD-PD) app with near-field communication (NFC) and optical character recognition (OCR) was developed to automate hydration metric collection. The information was displayed in the app for self-monitoring and uploaded to a database for real-time monitoring by the PD clinic staff. Early detection and treatment of overhydration could potentially reduce the morbidity and mortality related to overhydration.

Objective

This study aims to identify usability issues and technology adoption barriers for the CKD-PD app with NFC and OCR and a monitoring system and to use this information to make rapid cycle improvements.

Methods

A multidisciplinary team of nephrologists, PD clinic nurses, computer programmers, and engineers trained and observed 2 groups of 5 participants in the use of the CKD-PD app with NFC and OCR and a monitoring system. The participants were observed using technology in their homes in 3 phases. The data collected included the Unified Theory of Acceptance and Use of Technology questionnaire, think-aloud observation, user ratings, completion of hydration metrics, and upload of hydration metrics to the central database. These results were used by the team between phases to improve the functionality and usefulness of the app.

Results

The CKD-PD app with NFC and OCR and a monitoring system underwent 3 rapid improvement cycles. Issues were identified regarding the usability of the NFC and OCR data collection, app stability, user interface, hydration metric calculation, and display. NFC and OCR improved hydration metric capture; however, issues remained with their usability. App stability and user interface issues were corrected, and hydration metrics were successfully uploaded by the end of phase 3. Participants’ scores on technology adoption decreased but were still high, and there was enthusiasm for the self-monitoring and clinical communication features.

Conclusions

Our rapid cycle process improvement methodology identified and resolved key barriers and usability issues for the CKD-PD app with NFC and OCR and a monitoring system. We believe that this methodology can be accomplished with limited training in data collection, statistical analysis, and funding.

COVID-19 Vaccine Clinic Real-Time Throughput Analysis: Development and Implementation of an Innovative Data Collection Tool

BACKGROUND

The novel coronavirus disease 2019 (COVID-19) pandemic has presented the healthcare system with a plethora of challenges, including implementation of an efficient vaccination strategy. Mass vaccinations have been used during previous pandemics; however, the associated data have largely been limited to theoretical simulations and post hoc analysis.

METHODS

An innovative data collection tool was created to deliver real-time data analysis during a drive-through mass vaccination. Patients were assigned unique identification numbers at the clinic entrance. Using these identification numbers, and the web-based spreadsheet, patients were tracked throughout the vaccination process. Static timestamps corresponding to the entry and exit at each checkpoint were recorded in real time.

RESULTS

Data were collected on a total of 3,744 vehicles over five clinic days. Total time was collected, from entry to exit, on 2,860 vehicles. Registration and vaccination times were collected on 3,111 vehicles. Of the vehicles sampled, 1,588 (42%) had data points associated with all checkpoints.

CONCLUSIONS

This open-source, innovative data collection tool was successfully implemented in our mass vaccination clinic for tracking patients in real time providing actionable data on overall throughput efficiency. This cost-effective tool can be used on a variety of healthcare-related projects to provide data-driven evaluation on the efficiency of care.

Implementation of an Electronic Health Record Integrated Clinical Pathway Improves Adherence to COVID-19 Hospital Care Guidelines

BACKGROUND

During the COVID-19 pandemic, frequently changing guidelines presented challenges to emergency department (ED) clinicians. The authors implemented an electronic health record (EHR)-integrated clinical pathway that could be accessed by clinicians within existing workflows when caring for patients under investigation (PUI) for COVID-19. The objective was to examine the association between clinical pathway utilization and adherence to institutional best practice treatment recommendations for COVID-19.

METHODS

The authors conducted an observational analysis of all ED patients seen in a health system inclusive of seven EDs between March 18, 2020, and April 20, 2021. They implemented the pathway as an interactive flow chart that allowed clinicians to place orders while viewing the most up-to-date institutional guidance. Primary outcomes were proportion of admitted PUIs receiving dexamethasone and aspirin in the ED, and secondary outcome was time to delivering treatment.

RESULTS

A total of 13 269 patients were admitted PUIs. The pathway was used by 40.6% of ED clinicians. When clinicians used the pathway, patients were more likely to be prescribed aspirin (OR, 7.15; 95% CI, 6.2-8.26) and dexamethasone (10.4; 8.85-12.2). For secondary outcomes, clinicians using the pathway had statistically significant ( P < 0.0001) improvement in timeliness of ordering medications and admission to the hospital. Aspirin, dexamethasone, and admission order time were improved by 103.89, 94.34, and 121.94 minutes, respectively.

CONCLUSIONS

The use of an EHR-integrated clinical pathway improved clinician adherence to changing COVID-19 treatment guidelines and timeliness to associated medication administration. As pathways continue to be implemented, their effects on improving patient outcomes and decreasing disparities in patient care should be further examined.

Evaluation of a cardiac troponin process flow at the chest pain center with the shortest turnaround time

BACKGROUND

Early diagnosis of myocardial infarction is crucial in chest pain management and cardiac troponin (cTn) test is an important step in it. Process improvement to shorten the test turnaround time (TAT) may improve patients' outcomes. The cTn test at chest pain center (CPC) of Zhongshan Hospital had the shortest TAT ever reported, but its process flow was not fully evaluated.

METHODS

We performed a stepwise evaluation of CPC cTn TAT and explored the potential factor that might cause delay. The performance of CPC cTn test was also compared with cTn test and human chorionic gonadotropin (HCG) test ordered from emergency department (ED).

RESULTS

At least 95% of CPC cTn tests were completed in 60 min, while 62% in 30 min. The medians of monthly order-to-collect time, collect-to-received time, and received-to-result time were ~7 min, ~3 min, and ~13 min, respectively. The samples collected at the bedside had longer collect-to-received time than the ones collected at the blood draw site next to the laboratory. Compared to ED cTn test and ED HCG test, CPC cTn test took less time in each step. A combination of the sample type switch and the centrifugation time reduction contributed the most to the shortening of TAT, which was reflected in the received-to-result time.

CONCLUSIONS

The current process flow of CPC cTn test satisfied the requirements of chest pain management, giving an example of how to implement process improvement for emergency medicine to shorten TAT of laboratory tests.

Multi-perspective process mining for emergency process

BACKGROUND

Multi-perspective process mining is an analytical approach that uses data to gain objective insights and uncover hidden problems in business processes from multiple perspectives.

OBJECTIVE

In this paper, we apply multi-perspective process mining techniques in the emergency process through a goal-driven performance evaluation method in order to understand and diagnose the timeliness of the emergency process.

METHODS

Unstructured and multi-disciplinary emergency data is analyzed by following Goal-Question-Feature-Indicator (GQFI) method. In this paper, the GQFI method is extended with perspectives, and the insights in the enriched event data are examined by a decision tree model. All of them are applied in a systematic way in relation to the goal of assessing and improving the emergency process in a university hospital.

RESULTS

We detected the deviations (e.g., skipping the triage and consultation request steps) and two bottlenecks in the emergency process. Among the suggestions for improving the process, are performing defensive medicine in a harmless manner, classification of the emergency services, ensuring triage step is applied to all patients and effective usage of the call system application in consultation activities.

CONCLUSION

The results of this study showed that goal-oriented multi-perspective process mining is effective in identifying process improvements in emergency services.

A discrete event simulation to evaluate impact of radiology process changes on emergency department computed tomography access

BACKGROUND

Hospitals face the challenge of managing demand for limited computed tomography (CT) resources from multiple patient types while ensuring timely access.

METHODS

A discrete event simulation model was created to evaluate CT access time for emergency department (ED) patients at a large academic medical center with six unique CT machines that serve unscheduled emergency, semi-scheduled inpatient, and scheduled outpatient demand. Three operational interventions were tested: adding additional patient transporters, using an alternative creatinine lab, and adding a registered nurse dedicated to monitoring CT patients in the ED.

RESULTS

All interventions improved access times. Adding one or two transporters improved ED access times by up to 9.8 minutes (Mann-Whitney (MW) CI: [-11.0,-8.7]) and 10.3 minutes (MW CI [-11.5, -9.2]). The alternative creatinine and RN interventions provided 3-minute (MW CI: [-4.0, -2.0]) and 8.5-minute (MW CI: [-9.7, -8.3]) improvements.

CONCLUSIONS

Adding one transporter provided the greatest combination of reduced delay and ability to implement. The projected simulation improvements have been realized in practice.

What Does a Systems Approach to Quality Improvement Look Like in Practice?

Universally improving healthcare systems is difficult to achieve in practice with organisations implementing a range of quality improvement (QI) approaches, in varying and changing contexts, and efforts ranging from project-based improvements to whole system change. This study aimed to identify how organisations overcome the challenges to improving the quality of the services they deliver. Drawing on the eight challenges from the ‘Quality and Safety in Europe by Research (QUASER) hospital guide, we assessed eight cases reported by the UK-based regulator Care Quality Commission as improving their performance. A thematic analysis of these secondary data established that all eight challenges had been addressed or considered in varying degrees. Education and physical and technological challenges seemed less prominent than developments made to address other challenges such as developing leadership, structure, and culture to support improving quality. This paper relies on the analysis of secondary case data and one framework to assess improvement efforts. Further research is required to consider other models and frameworks and to collate longitudinal data to capture the dynamics and increasing the maturity of improving healthcare systems in practice.

Virtual Sprint Outpatient Electronic Health Record Training and Optimization Effect on Provider Burnout

OBJECTIVES

This study aimed to develop a virtual electronic health record (EHR) training and optimization program and evaluate the impact of the virtual model on provider and staff burnout and electronic health record (EHR) experience.

METHODS

UCHealth created and supported a multidisciplinary EHR optimization and training program, known as the Epic Sprint Program. The Sprint Team conducted dozens of onsite Sprint events over the course of several years prior to the pandemic but transitioned to a fully virtual program and successfully "sprinted" 21 outpatient clinics from May to December 2020. Core program components of group and 1:1 training, workflow analysis, and new or adjusted EHR build were unchanged from the onsite model. Pre- and post-Sprint surveys provided detailed, objective data about EHR usability, EHR proficiency, job satisfaction, and burnout.

RESULTS

The EHR Net Promoter Score (NPS), a likelihood to recommend metric, increased by 39 points (-3 pre and 36 post; p < 0.001) for providers and 29 points (8 pre and 37 post; p = 0.001) for staff post-Sprint. Positive provider (NPS = +53) and staff (NPS = +47) NPS scores indicated a high likelihood to recommend the Sprint Program. Post-Sprint surveys also reflect an increase in providers (10%; p = 0.04) and staff (9%; 0.13) who indicated "no burnout" or "did not feel burned out."

DISCUSSION

The UCHealth Sprint Team transitioned this comprehensive, enterprise level initiative from an onsite model to a fully virtual EHR training and optimization program during the first few months of the novel coronavirus disease (COVID-19) pandemic. Despite this change in program delivery, survey data clearly demonstrated improved EHR satisfaction, a high likelihood to recommend a sprint to a friend or colleague, and a trend toward burnout reduction in providers and staff.

CONCLUSION

Changing an existing on-site EHR optimization program to a purely virtual format can be successful, and this study showed improved provider and staff EHR satisfaction with reduced burnout.

Minimally Trained Analysts Can Perform Fast, Objective Assessment of Orthopedic Technical Skill from Fluoroscopic Images

Skill assessment in orthopedics has traditionally relied on subjective impressions from a supervising surgeon. The feedback derived from these tools may be limited by bias and other practical issues. Objective analysis of intraoperative fluoroscopic images offers an inexpensive, repeatable, and precise assessment strategy without bias. Assessors generally refrain from using the scores of images obtained throughout the operation to evaluate skill for practical reasons. A new system was designed to facilitate rapid analysis of this fluoroscopy via minimally trained analysts. Four expert and four novice analysts independently measured one objective metric for skill using both a custom analysis software and a commercial alternative. Analysts were able to measure the objective metric three times faster when using the custom software, and without a practical difference in accuracy in comparison to the expert analysts using the commercial software. These results suggest that a well-designed fluoroscopy analysis system can facilitate inexpensive, reliable, and objective assessment of surgical skills.

Continuous Remote Patient Monitoring: Evaluation of the Heart Failure Cascade Soft Launch

OBJECTIVE

We report on our experience of deploying a continuous remote patient monitoring (CRPM) study soft launch with structured cascading and escalation pathways on heart failure (HF) patients post-discharge. The lessons learned from the soft launch are used to modify and fine-tune the workflow process and study protocol.

METHODS

This soft launch was conducted at NorthShore University HealthSystem's Evanston Hospital from December 2020 to March 2021. Patients were provided with non-invasive wearable biosensors that continuously collect ambulatory physiological data, and a study phone that collects patient-reported outcomes. The physiological data are analyzed by machine learning algorithms, potentially identifying physiological perturbation in HF patients. Alerts from this algorithm may be cascaded with other patient status data to inform home health nurses' (HHNs') management via a structured protocol. HHNs review the monitoring platform daily. If the patient's status meets specific criteria, HHNs perform assessments and escalate patient cases to the HF team for further guidance on early intervention.

RESULTS

We enrolled five patients into the soft launch. Four participants adhered to study activities. Two out of five patients were readmitted, one due to HF, one due to infection. Observed miscommunication and protocol gaps were noted for protocol amendment. The study team adopted an organizational development method from change management theory to reconfigure the study protocol.

CONCLUSION

We sought to automate the monitoring aspects of post-discharge care by aligning a new technology that generates streaming data from a wearable device with a complex, multi-provider workflow into a novel protocol using iterative design, implementation, and evaluation methods to monitor post-discharge HF patients. CRPM with structured escalation and telemonitoring protocol shows potential to maintain patients in their home environment and reduce HF-related readmissions. Our results suggest that further education to engage and empower frontline workers using advanced technology is essential to scale up the approach.

Lean Six Sigma Redesign of a Process for Healthcare Mandatory Education in Basic Life Support-A Pilot Study

Healthcare staff are required to undertake mandatory training programs to ensure they maintain key clinical competencies. This study was conducted in a private hospital in Ireland, where the processes for accessing mandatory training were found to be highly complex and non-user friendly, resulting in missed training opportunities, specific training license expiration, and underutilized training slots which resulted in lost time for both the trainers and trainees. A pilot study was undertaken to review the process for accessing mandatory training with a focus on the mandatory training program of Basic Life Support (BLS). This was chosen due to its importance in patient resuscitation and its requirement in the hospital achieving Joint Commission International (JCI) accreditation. A pre- and post-team-based intervention design was used with Lean Six Sigma (LSS) methodology employed to redesign the process of booking, scheduling, and delivery of BLS training leading to staff individual BLS certification for a period of two years. The redesign of the BLS training program resulted in a new blended delivery method, and the initiation of a pilot project led to a 50% increase in the volume of BLS classes and a time saving of 154 h 30 min for staff and 48 h 14 min for BLS instructors. The success of the BLS process access pilot has functioned as a platform for the redesign of other mandatory education programs and will be of interest to hospitals with mandatory training requirements that are already facing healthcare challenges and demands on staff time.

A Realist Inquiry to Identify the Contribution of Lean Six Sigma to Person-Centred Care and Cultures

A lack of fidelity to Lean Six Sigma's (LSS) philosophical roots can create division between person-centred approaches to transforming care experiences and services, and system wide quality improvement methods focused solely on efficiency and clinical outcomes. There is little research into, and a poor understanding of, the mechanisms and processes through which LSS education influences healthcare staffs' person-centred practice. This realist inquiry asks 'whether, to what extent and in what ways, LSS in healthcare contributes to person-centred care and cultures'. Realist review identified three potential Context, Mechanism, Outcome configurations (CMOcs) explaining how LSS influenced practice, relating to staff, patients, and organisational influences. Realist evaluation was used to explore the CMOc relating to staff, showing how they interacted with a LSS education Programme (the intervention) with CMOc adjudication by the research team and study participants to determine whether, to what extent, and in what ways it influenced person-centred cultures. Three more focused CMOcs emerged from the adjudication of the CMOc relating to staff, and these were aligned to previously identified synergies and divergences between participants' LSS practice and person-centred cultures. This enabled us to understand the contribution of LSS to person-centred care and cultures that contribute to the evidence base on the study of quality improvement beyond intervention effectiveness alone.

Models Predicting Hospital Admission of Adult Patients Utilizing Prehospital Data: Systematic Review Using PROBAST and CHARMS

Background

Emergency department boarding and hospital exit block are primary causes of emergency department crowding and have been conclusively associated with poor patient outcomes and major threats to patient safety. Boarding occurs when a patient is delayed or blocked from transitioning out of the emergency department because of dysfunctional transition or bed assignment processes. Predictive models for estimating the probability of an occurrence of this type could be useful in reducing or preventing emergency department boarding and hospital exit block, to reduce emergency department crowding.

Objective

The aim of this study was to identify and appraise the predictive performance, predictor utility, model application, and model utility of hospital admission prediction models that utilized prehospital, adult patient data and aimed to address emergency department crowding.

Methods

We searched multiple databases for studies, from inception to September 30, 2019, that evaluated models predicting adult patients’ imminent hospital admission, with prehospital patient data and regression analysis. We used PROBAST (Prediction Model Risk of Bias Assessment Tool) and CHARMS (Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modeling Studies) to critically assess studies.

Results

Potential biases were found in most studies, which suggested that each model’s predictive performance required further investigation. We found that select prehospital patient data contribute to the identification of patients requiring hospital admission. Biomarker predictors may add superior value and advantages to models. It is, however, important to note that no models had been integrated with an information system or workflow, operated independently as electronic devices, or operated in real time within the care environment. Several models could be used at the site-of-care in real time without digital devices, which would make them suitable for low-technology or no-electricity environments.

Conclusions

There is incredible potential for prehospital admission prediction models to improve patient care and hospital operations. Patient data can be utilized to act as predictors and as data-driven, actionable tools to identify patients likely to require imminent hospital admission and reduce patient boarding and crowding in emergency departments. Prediction models can be used to justify earlier patient admission and care, to lower morbidity and mortality, and models that utilize biomarker predictors offer additional advantages.

Process Improvement Approaches for Increasing the Response of Emergency Departments against the COVID-19 Pandemic: A Systematic Review

The COVID-19 pandemic has strongly affected the dynamics of Emergency Departments (EDs) worldwide and has accentuated the need for tackling different operational inefficiencies that decrease the quality of care provided to infected patients. The EDs continue to struggle against this outbreak by implementing strategies maximizing their performance within an uncertain healthcare environment. The efforts, however, have remained insufficient in view of the growing number of admissions and increased severity of the coronavirus disease. Therefore, the primary aim of this paper is to review the literature on process improvement interventions focused on increasing the ED response to the current COVID-19 outbreak to delineate future research lines based on the gaps detected in the practical scenario. Therefore, we applied the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to perform a review containing the research papers published between December 2019 and April 2021 using ISI Web of Science, Scopus, PubMed, IEEE, Google Scholar, and Science Direct databases. The articles were further classified taking into account the research domain, primary aim, journal, and publication year. A total of 65 papers disseminated in 51 journals were concluded to satisfy the inclusion criteria. Our review found that most applications have been directed towards predicting the health outcomes in COVID-19 patients through machine learning and data analytics techniques. In the overarching pandemic, healthcare decision makers are strongly recommended to integrate artificial intelligence techniques with approaches from the operations research (OR) and quality management domains to upgrade the ED performance under social-economic restrictions.

Relational interventions for organizational learning: An experience report

INTRODUCTION

Quality improvement and implementation science practitioners identify relational issues as important obstacles to success. Relational interventions may be important for successful performance improvement and fostering Learning Health Systems.

METHODS

This case report describes the experience and lessons learned from implementing a relational approach to organizational change, informed by Relational Coordination Theory, in a health system. Structured interviews were used to obtain qualitative participant feedback. Relational Coordination was measured serially using a validated seven-item survey.

RESULTS

An initial, relational intervention on one unit promoted increased participant engagement, self-efficacy, and motivation that led to the spontaneous, emergent dissemination of relational change, and learning into other parts of the health system. Staff involved in the intervention reported increased systems thinking, enhanced focus on communication and relationships as key drivers for improvement and learning, and greater awareness of organizational change as something co-created by staff and executives.

CONCLUSIONS

This experience supports the hypothesis that relational interventions are important for fostering the development of Learning Health Systems.

Use of a Clinical Audit System in Implementing Surviving Sepsis Campaign Guidelines in Patients With Peritonitis

Background

Sepsis is the predominant cause of morbidity and mortality in patients with peritonitis. "Surviving Sepsis Campaign" (SSC) is an international effort in reducing mortality based on evidence-based guidelines. This study aims to assess the impact of audit-based feedback in a Plan-Do-Study-Act (PDSA) format on improving the implementation of the SSC guidelines in patients with generalized peritonitis at our center.

Methods

This prospective observational study was conducted in four audit cycles in PDSA format. Multi-departmental inputs were taken to suggest modifications in practice. A questionnaire-based analysis of reasons for non-compliance was performed to find out the opinions and reasons for non-compliance. Morbidity, mortality, and the length of ICU and hospital stay among these patients were also analyzed.

Results

Baseline compliance with intravenous (IV) bolus administration, central venous pressure (CVP)-guided fluids, and inotropes support when indicated were 100%. Over the course of the three audit cycles, statistically significant improvement in compliance was noted for obtaining blood cultures before antibiotics, antibiotic administration within three hours of presentation, and serum lactate measurement. Overall bundle compliance improved from 9.2% to 64.7% by the end of audit cycle III.

Conclusions

This study demonstrates that audit-based feedback is a dependable means of improving compliance with SSC guidelines. It brings about improvement by educating users, modifying their behavior through feedback, and enhances process improvement by identifying and correcting systemic deficiencies in the organization.

Implementation of point-of-care blood gas testing at a large community hospital: Cost analysis, sepsis bundle compliance, and employee engagement

INTRODUCTION/BACKGROUND

Point-of-care testing (POCT) platforms support patient-centered approaches to health care delivery and may improve patient care. We evaluated implementation of a POCT platform at a large, acute care hospital in the Midwestern United States.

METHODS

We used lactate testing as part of a sepsis bundle protocol to evaluate compliance and mortality outcomes. Respiratory team members were surveyed to assess perception of efficiency, ease of use, timely patient care, and overall engagement with the POCT system. Annualized cost per test of a benchtop analyzer and a POCT platform were compared across 3 years for each platform.

RESULTS

Lactate testing volume increased from 61% to 91%, which was associated with improved sepsis bundle protocol compliance. Employees reported high levels of engagement, improvements in efficiency and time savings, and better patient care with POCT. Average cost per test was $10.02 for the benchtop system and $6.21 for the POCT platform. POCT saved our institution $88,476 annually in labor costs.

DISCUSSION

Combined with a robust training program emphasizing the use of lactate testing in the context of the overall clinical picture, POCT enabled adherence to the sepsis bundle protocol and may have contributed to lower mortality. Additionally, the COVID-19 pandemic has provided us with unanticipated benefits of using POCT; it has enhanced our ability to deal with stringent infectious disease protocols, saving time and minimizing patient and staff exposure.

CONCLUSIONS

Implementation of a POCT platform was associated with improved compliance to our sepsis protocol, reduced sepsis mortality, high employee engagement, and cost savings.

Building a Quality Management System in a Core Facility: A Genomics Core Case Study

Core facilities are key resources supporting the academic research enterprise, providing access to innovative and essential technologies and expertise. Given the constraints placed on core facilities as recharge centers and the ever-changing research environment, an important competitive differentiator that can support rigorous and reproducible approaches in core labs is the implementation of a quality management system (QMS). This paper describes a systematic approach to building a QMS in a genomics core facility at the University of North Carolina School of Medicine. This model is based on principles of the International Organization for Standardization 9001 system with initiatives focused on process mapping, training (communication, customer service, performance management, development of standard operating procedures, and quality audits), root cause analysis, visual control boards, mock quality audits, and continuous improvement through metrics tracking and "voice of the customer" exercises. The goal of this paper is to share practical step-by-step recommendations and outcomes of this core facility QMS that are generally applicable to academic core facilities, regardless of technical focus. Application of these good laboratory practice principles will foster "competitiveness through compliance" and promote outstanding interdisciplinary research between academic cores and their nonacademic pharmaceutical and federal research partners. Additionally, implementation of the QMS qualified this core to apply for federally funded contracts, thereby diversifying its types of projects and sources of revenue.

Integrating Quality Tools and Methods to Analyze and Improve a Hospital Sterilization Process

Healthcare facilities are facing major issues and challenges. Hospitals continuously search approaches to improve operations quality, optimize performance, and minimize costs. Specifically, an efficient hospital sterilization process (HSP) allows reusable medical devices (RMDs) to be more quickly available for healthcare activities. In this context, this paper describes an integrated approach developed to analyze HSP and to identify the most critical improvement actions. This proposed approach integrates four quality tools and techniques. Firstly, a structured analysis and design technique (SADT) methodology is applied to describe HSP as a hierarchy of activities and functions. Secondly, the failure modes and effects analysis (FMEA) method is used as a risk assessment step to determine which activity processes need careful attention. Thirdly, a cause–effect analysis technique is used as a tool to help identify all the possible improvement actions. Finally, priority improvement actions are proposed using the quality function deployment (QFD) method. To validate the proposed approach, a real sterilization process used at the maternity services of Hedi-Cheker Hospital in the governorate of Sfax, Tunisia, was fully studied. For this specific HSP, the proposed approach results showed that the two most critical activities were (1) improving the coordination between the sterilization service and the surgery block and (2) minimizing the average duration of the sterilization process to ensure the availability of RMDs in time.

Twice-Daily Huddles Improves Collaborative Problem Solving in the Respiratory Care Department

BACKGROUND

Lean Six Sigma processes are used in health care systems to increase safety and efficiency. Daily huddles, one tool of the Lean Six Sigma process, have been used to increase patient safety, facilitate efficiency in problem solving, promote optimal patient outcomes, and reduce poor communication. Huddle utilization by respiratory care departments has not been previously reported. We describe our process of implementing daily huddles and the impact on departmental problem solving.

METHOD

A descriptive study of a quality improvement intervention and a retrospective study of prospectively collected data were performed. The respiratory care department was trained in the utilization of a daily huddle process to resolve issues and identify process improvement opportunities. Huddles were performed at the beginning of each shift. Process improvement opportunities were raised by the respiratory therapy staff using the following categories: Safety/Service, Methods, Equipment, Supplies, and Associates. Opportunities were placed within 3 categories; quick hits (resolution in 1-3 d), complex problems (resolution in 3-7 d), and projects (resolution in > 7 d). All opportunities included a problem statement, an immediate countermeasure, a problem leader, and a due date. Items requiring interdisciplinary support were escalated to the organizational patient care services huddle. We evaluated the number and nature of process improvement opportunities raised in huddles from January 1 through December 31, 2018, to better understand the impact of daily huddles.

RESULTS

A total of 366 process improvement opportunities were raised during huddles. Of those, 245 (67%) were quick hits, 77 (21%) were complex, and 44 (12%) were projects. Resolution of 174 (47.5%) opportunities was completed using only the resources of the respiratory care department, and 157 (43%) were resolved with additional interdisciplinary involvement. A small portion 35 (9.5%) of opportunities required escalation to the organizational multidisciplinary huddle for resolution. All process improvement opportunities were resolved at the end of the study period (mean ± SD of 30.5 ± 7.7 per month).

CONCLUSIONS

Twice-daily huddles implemented by our respiratory care department allowed for identification and timely resolution of process improvement opportunities.

A unique window of opportunity for practical reform of cancer clinical trials

With rapid modifications in cancer clinical trial operations necessitated by the global pandemic over the last year, there is now an unprecedented opportunity to reform clinical research permanently and solidify innovative practices that have clearly been effective. On the basis of the authors' experience and recommendations from other institutions, a set of specific proposals for clinical trial reform are identified that can be implemented immediately by sponsors, regulators, and study sites. Improvements in clinical trial processes should include increased leverage of technology to facilitate remote trial activity and electronic documents, more efficient and effective communication of adverse event information, and better study design to optimize inclusion criteria, required research procedures, and data collection. The authors suggest that such reform will preserve patient safety and study integrity, address unnecessary and inefficient pre-pandemic constraints, improve access to clinical trials for patients, and speed improvements in cancer care.

Efficiency Improvements of Nonoperating Room Cardiac Anesthesia Services

OBJECTIVE

Scheduling and staffing nonoperating room anesthesia (NORA) cases often require cross-service coordination and can result in significant delays in patient care, resource inefficiencies, and provider dissatisfaction. The objective of the present study was to reduce these delays and case cancellations for patients requiring cardiac anesthesia for their transesophageal echocardiography procedure.

DESIGN

Preintervention and postintervention analysis of prospectively collected observational data.

SETTING

Single institution, quaternary care hospital.

PARTICIPANTS

Patients requiring cardiac anesthesia for transesophageal echocardiography.

INTERVENTIONS

The study included the following three interventions: outpatient transesophageal echocardiography order screening, identifying the daily NORA cardiac anesthesia attending, and centralizing the scheduling process among all cardiac NORA locations.

MEASUREMENTS AND MAIN RESULTS

Before the interventions, the average delay time for echocardiography laboratory cases was 34.9 minutes (n = 38, standard deviation 30.6). In the two months after the aforementioned interventions were performed, the average delay time was 20.2 minutes (n = 50, standard deviation 10.0), representing a decrease in the wait time of 42%. In the preintervention period, two cases had delays of 60 minutes or more; in the postintervention group, there were zero cases with delays of 60 minutes or more. During the postintervention period, zero cases were rescheduled or cancelled because of lack of availability or scheduling conflicts by the cardiac anesthesia team as opposed to three cases that were rescheduled or cancelled in the preintervention period.

CONCLUSION

In the two months after implementing changes to the scheduling process for NORA cases in the echocardiography laboratory, a substantial reduction in average case delay, elimination of long delays lasting more than one hour, and avoidance of case cancellations were observed.

Lean Six Sigma Approach for Reducing Length of Hospital Stay for Patients with Femur Fracture in a University Hospital

Surgical intervention within 48 h of hospital admission is the gold standard procedure for the management of elderly patients with femur fractures, since the increase in preoperative waiting time is correlated with the onset of complications and longer overall length of stay (LOS) in the hospital. However, national evidence demonstrates that there is still the need to provide timely intervention for this type of patient, especially in some regions of central southern Italy. Here we discuss the introduction of a diagnostic–therapeutic assistance pathway (DTAP) to reduce the preoperative LOS for patients undergoing femur fracture surgery in a university hospital. A Lean Six Sigma methodology, based on the DMAIC cycle (Define, Measure, Analyze, Improve, Control), is implemented to evaluate the effectiveness of the DTAP. Data were retrospectively collected and analyzed from two groups of patients before and after the implementation of DTAP over a period of 10 years. The statistics of the process measured before the DTAP showed an average preoperative LOS of 5.6 days (standard deviation of 3.2), thus confirming the need for corrective actions to reduce the LOS in compliance with the national guidelines. The influence of demographic and anamnestic variables on the LOS was evaluated, and the impact of the DTAP was measured and discussed, demonstrating the effectiveness of the improvement actions implemented over the years and leading to a significant reduction in the preoperative LOS, which decreased to an average of 3.5 days (standard deviation of 3.60). The obtained reduction of 39% in the average LOS proved to be in good agreement with previously developed DTAPs for femur fracture available in the literature.

Radiology Patient Outcome Measures: Impact of a Departmental Pay-for-Performance Initiative on Key Quality and Safety Measures

OBJECTIVE

Assess impact of a multifaceted pay-for-performance (PFP) initiative on radiologists' behavior regarding key quality and safety measures.

METHODS

This institutional review board-approved prospective study was performed at a large, 12-division urban academic radiology department. Radiology patient outcome measures were implemented October 1, 2017, measuring report signature timeliness, critical results communication, and generation of peer-learning communications between radiologists. Subspecialty division-wide and individual radiologist targets were specified, performance was transparently communicated on an intranet dashboard updated daily, and performance was financially incentivized (5% of salary) quarterly. We compared outcomes 12 months pre- versus 12 months post-PFP implementation. Primary outcome was monthly 90th percentile time from scan completion to final report signature (CtoF). Secondary outcomes were percentage timely closed-loop communication of critical results and number of division-wide peer-learning communications. Statistical process control analysis and parallel coordinates charts were used to assess for temporal trends.

RESULTS

In all, 144 radiologists generated 1,255,771 reports (613,273 pre-PFP) during the study period. Monthly 90th percentile CtoF exhibited an absolute decrease of 4.4 hours (from 21.1 to 16.7 hours) and a 20.9% relative decrease post-PFP. Statistical process control analysis demonstrated significant decreases in 90th percentile CtoF post-PFP, sustained throughout the study period (P < .003). Between 95% (119 of 125, July 1, 2018, to September 30, 2018) and 98.4% (126 of 128, October 1, 2017, to December 31, 2017) of radiologists achieved >90% timely closure of critical alerts; all divisions exceeded the target of 90 peer-learning communications each quarter (range: 97-472) after January 1, 2018.

DISCUSSION

Implementation of a multifaceted PFP initiative using well-defined radiology patient outcome measures correlated with measurable improvements in radiologist behavior regarding key quality and safety parameters.