National Healthcare Quality and Disparities Report
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- Adverse Events (7)
- Ambulatory Care and Surgery (1)
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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 25 of 29 Research Studies DisplayedWoods-Hill CZ, Koontz DW, Colantuoni EA
Sustainability of the Bright STAR diagnostic stewardship program to reduce blood culture rates among critically ill children.
From 2017 to2020, 14 pediatric intensive care units (PICUs) participated in the Bright STAR (Testing Stewardship for Antibiotic Reduction) QI collaborative to reduce unnecessary blood cultures for PICU patients. The collaborative project found that 4 sites demonstrated a 33% decrease in blood culture rates and a 13% decrease in broad spectrum antibiotic use. The purpose of this current study was to assess whether sites sustained reduced blood culture rates after completion of the formal project. The study found that all sites had lower blood culture rates during the sustainability period when compared with the pre-implementation period. The blood culture rate increased 8% during the sustainability period compared with the postimplementation period but was 27% lower than during the pre-implementation period.
AHRQ-funded; HS025642.
Citation: Woods-Hill CZ, Koontz DW, Colantuoni EA .
Sustainability of the Bright STAR diagnostic stewardship program to reduce blood culture rates among critically ill children.
JAMA Pediatr 2023 Nov; 177(11):1234-37. doi: 10.1001/jamapediatrics.2023.3229..
Keywords: Children/Adolescents, Critical Care, Quality Improvement, Diagnostic Safety and Quality, Quality of Care
Bradford A, Shofer M, Singh H
AHRQ Author: Shofer M, Singh H
Measure Dx: implementing pathways to discover and learn from diagnostic errors.
This paper discusses Measure Dx, a new AHRQ resource that translates knowledge from diagnostic measurement research into actionable recommendations. This resource guides healthcare organizations to detect, analyze, and learn from diagnostic safety events as part of a continuous learning and feedback cycle. The goal of Measure Dx is to advance new frontiers in reducing preventable diagnostic harm to patients.
AHRQ-authored; AHRQ-funded; 233201500022I; HS027363.
Citation: Bradford A, Shofer M, Singh H .
Measure Dx: implementing pathways to discover and learn from diagnostic errors.
Int J Qual Health Care 2022 Sep 10;34(3). doi: 10.1093/intqhc/mzac068..
Keywords: Diagnostic Safety and Quality, Patient Safety, Quality Improvement, Quality of Care, Electronic Health Records (EHRs), Health Information Technology (HIT), Health Systems, Learning Health Systems
Radhakrishnan A, Reyes-Gastelum D, Abrahamse P
Physician specialties involved in thyroid cancer diagnosis and treatment: implications for improving health care disparities.
The authors sought to characterize providers involved in diagnosing and treating thyroid cancer. Patients with differentiated thyroid cancer from the Georgia and Los Angeles County Surveillance, Epidemiology and End Results registries were surveyed. The authors found that, among thyroid cancer patients, 40.6% reported being informed of their diagnosis by their surgeon, 37.9% by their endocrinologist, and 13.5% by their primary care physician (PCP). The researchers concluded that PCPs were involved in thyroid cancer diagnosis and treatment, and their involvement was greater among older patients and patients of minority race/ethnicity.
AHRQ-funded; HS024512.
Citation: Radhakrishnan A, Reyes-Gastelum D, Abrahamse P .
Physician specialties involved in thyroid cancer diagnosis and treatment: implications for improving health care disparities.
J Clin Endocrinol Metab 2022 Feb 17;107(3):e1096-e105. doi: 10.1210/clinem/dgab781..
Keywords: Cancer, Disparities, Diagnostic Safety and Quality, Practice Patterns, Quality Improvement, Quality of Care
Zimolzak AJ, Shahid U, Giardina TD
Why test results are still getting "lost" to follow-up: a qualitative study of implementation gaps.
Lack of timely follow-up of abnormal test results is common and has been implicated in missed or delayed diagnosis, resulting in potential for patient harm. As part of a larger project to implement change strategies to improve follow-up of diagnostic test results, this study sought to identify specifically where implementation gaps exist, as well as possible solutions identified by front-line staff.
AHRQ-funded; HS27363.
Citation: Zimolzak AJ, Shahid U, Giardina TD .
Why test results are still getting "lost" to follow-up: a qualitative study of implementation gaps.
J Gen Intern Med 2022 Jan;37(1):137-44. doi: 10.1007/s11606-021-06772-y..
Keywords: Diagnostic Safety and Quality, Patient Safety, Quality Improvement, Quality of Care
Cifra CL, Sittig DF, Singh H
Bridging the feedback gap: a sociotechnical approach to informing clinicians of patients' subsequent clinical course and outcomes.
This paper discusses challenges to the development of systems for effective patient outcome feedback to improve diagnosis and proposes the application of a sociotechnical approach using health information technology (HIT) to support the implementation of such systems. It discusses current barriers to effective clinician feedback, reasons for them, and features of potential IT solutions. Evaluation and implementation of the feedback process within a sociotechnical health system are then discussed. The authors use an eight-dimension sociotechnical model for studying health IT by authors Sittig and Singh. The eight dimensions are hardware and software; clinical content; human–computer interface; people; workflow and communication; organisational policies and procedures; external rules, regulations and pressures; and system measurement and monitoring. A table is included that shows the potential considerations for each dimension.
AHRQ-funded; 33201500022I; HS027363.
Citation: Cifra CL, Sittig DF, Singh H .
Bridging the feedback gap: a sociotechnical approach to informing clinicians of patients' subsequent clinical course and outcomes.
BMJ Qual Saf 2021 Jul;30(7):591-97. doi: 10.1136/bmjqs-2020-012464..
Keywords: Health Information Technology (HIT), Diagnostic Safety and Quality, Patient Safety, Quality Improvement, Quality of Care
Zhu Y, Simon GJ, Wick EC
Applying machine learning across sites: external validation of a surgical site infection detection algorithm.
Surgical complications have tremendous consequences and costs. Complication detection is important for quality improvement, but traditional manual chart review is burdensome. Automated mechanisms are needed to make this more efficient. The purpose of the study was to understand the generalizability of a machine learning algorithm between sites; automated surgical site infection (SSI) detection algorithms developed at one center were tested at another distinct center.
AHRQ-funded; HS024532.
Citation: Zhu Y, Simon GJ, Wick EC .
Applying machine learning across sites: external validation of a surgical site infection detection algorithm.
J Am Coll Surg 2021 Jun;232(6):963-71.e1. doi: 10.1016/j.jamcollsurg.2021.03.026..
Keywords: Healthcare-Associated Infections (HAIs), Surgery, Adverse Events, Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Improvement, Quality of Care
Desai S, Kapoor N, Hammer MM
RADAR: a closed-loop quality improvement initiative leveraging a safety net model for incidental pulmonary nodule management.
This study was conducted to assess whether patients with incidental pulmonary nodules (IPNs) received timely follow-up care after implementation of a quality improvement (QI) initiative between radiologists and primary care providers. A QI initiative, RADAR (Radiology Result Alert and Development of Automated Resolution), was implemented. Findings showed that the RADAR QI initiative was associated with increased timely IPN follow-up.
AHRQ-funded; HS024722.
Citation: Desai S, Kapoor N, Hammer MM .
RADAR: a closed-loop quality improvement initiative leveraging a safety net model for incidental pulmonary nodule management.
Jt Comm J Qual Patient Saf 2021 May;47(5):275-81. doi: 10.1016/j.jcjq.2020.12.006..
Keywords: Quality Improvement, Quality of Care, Diagnostic Safety and Quality, Imaging
Marshall TL, Ipsaro AJ, Le M
Increasing physician reporting of diagnostic learning opportunities.
This study investigated methods to improve physician reporting of diagnostic errors at the pediatric division of a hospital. In that pediatric hospital medicine (PHM) division only 1 diagnostic-related safety event was reported in the preceding 4 years. The authors aimed to improve attending physician reporting of suspected diagnostic errors from 0 to 2 per 100 PHM patient admissions within 6 months. The improvement team used the Model for Improvement and used the term diagnostic learning opportunity (DLO) with clinicians as opposed to diagnostic error to lessen the stigma. They developed an electronic reporting form and encouraged its use through reminders, scheduled reflection time, and monthly progress reports. Over the course of 13 weeks, there was an increase from 0 to 1.6 per patient admission reports files. Most events (66%) were true diagnostic errors.
AHRQ-funded; HS023827.
Citation: Marshall TL, Ipsaro AJ, Le M .
Increasing physician reporting of diagnostic learning opportunities.
Pediatrics 2021 Jan;147(1). doi: 10.1542/peds.2019-2400..
Keywords: Children/Adolescents, Diagnostic Safety and Quality, Medical Errors, Adverse Events, Patient Safety, Hospitals, Quality Improvement, Quality of Care
Liu FF, Lew A, Andes E
Implementation strategies for depression and anxiety screening in a pediatric cystic fibrosis center: a quality improvement project.
The objective of this study was to share key strategies that led to successful mental health screening (MHS) implementation in one pediatric cystic fibrosis center and to report implementation and screening outcomes. Results showed that leveraging coproduction to address stakeholder needs led to successful implementation of a sustainable MHS process.
AHRQ-funded; HS026393.
Citation: Liu FF, Lew A, Andes E .
Implementation strategies for depression and anxiety screening in a pediatric cystic fibrosis center: a quality improvement project.
Pediatr Pulmonol 2020 Dec;55(12):3328-36. doi: 10.1002/ppul.24951..
Keywords: Children/Adolescents, Respiratory Conditions, Chronic Conditions, Depression, Anxiety, Behavioral Health, Screening, Implementation, Quality Improvement, Quality of Care, Diagnostic Safety and Quality
Rauscher GH, Tossas-Milligan K, Macarol T
Trends in attaining mammography quality benchmarks with repeated participation in a quality measurement program: going beyond the mammography quality standards act to address breast cancer disparities.
The Mammography Quality Standards Act requires that mammography facilities conduct audits, but there are no specifications on the metrics to be measured. In this study, the authors present trends from the first 5 years of data collection to examine whether continued participation in this quality improvement program was associated with an increase in the number of benchmarks met for breast cancer screening.
AHRQ-funded; HS018366.
Citation: Rauscher GH, Tossas-Milligan K, Macarol T .
Trends in attaining mammography quality benchmarks with repeated participation in a quality measurement program: going beyond the mammography quality standards act to address breast cancer disparities.
J Am Coll Radiol 2020 Nov;17(11):1420-28. doi: 10.1016/j.jacr.2020.07.019..
Keywords: Cancer: Breast Cancer, Cancer, Women, Screening, Quality Measures, Quality Improvement, Quality of Care, Diagnostic Safety and Quality
Bronsert M, Singh AB, Henderson WG
Identification of postoperative complications using electronic health record data and machine learning.
Investigators developed a machine learning algorithm for identifying patients with one or more complications using data from the electronic health record (EHR). They concluded that using machine learning on EHR postoperative data linked to American College of Surgeons National Surgical Quality Improvement Program outcomes data, a model with 163 predictors from the EHR identified complications well at their institution.
AHRQ-funded; HS026019.
Citation: Bronsert M, Singh AB, Henderson WG .
Identification of postoperative complications using electronic health record data and machine learning.
Am J Surg 2020 Jul;220(1):114-19. doi: 10.1016/j.amjsurg.2019.10.009..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Surgery, Quality Improvement, Quality of Care, Diagnostic Safety and Quality
Dadlez NM, Adelman J, Bundy DG
Contributing factors for pediatric ambulatory diagnostic process errors: Project RedDE.
This study examined root causes of three common pediatric diagnostic errors by having 31 practices enrolled in a national QI collaborative perform monthly “mini-RCAs” (mini root cause analyses). The diagnoses errors studied were missed adolescent depression, missed elevated blood pressure, and missed actionable laboratory values. Twenty-eight practices submitted 184 mini-RCAs with the most common causes being patient volume (adolescent depression and elevated BP), inadequate staffing (adolescent depression), clinic milieu (elevated BP), written communication and provider knowledge (actionable laboratory values), and electronic health records (EHRs) – (elevated BP and actionable laboratory values). The median number of mini-RCAs submitted was 6.
AHRQ-funded; HS024538; HS024713; HS026121.
Citation: Dadlez NM, Adelman J, Bundy DG .
Contributing factors for pediatric ambulatory diagnostic process errors: Project RedDE.
Pediatr Qual Saf 2020 May-Jun;5(3):e299. doi: 10.1097/pq9.0000000000000299..
Keywords: Children/Adolescents, Diagnostic Safety and Quality, Quality Improvement, Quality of Care, Medical Errors, Adverse Events, Patient Safety
Kocher KE, Arora R, Bassin BS
Baseline performance of real-world clinical practice within a statewide emergency medicine quality network: the Michigan Emergency Department Improvement Collaborative (MEDIC).
The Michigan Emergency Department Improvement Collaborative (MEDIC) has baseline performance data to identify practice variation across 15 diverse emergency departments on key emergency care quality indicators. The authors assessed MEDIC quality measures and found that performance varied greatly, with demonstrated opportunity for improvement. They conclude that MEDIC provides a robust platform for emergency physician engagement across emergency department practice settings to improve care and is a model for other states.
AHRQ-funded; HS024160.
Citation: Kocher KE, Arora R, Bassin BS .
Baseline performance of real-world clinical practice within a statewide emergency medicine quality network: the Michigan Emergency Department Improvement Collaborative (MEDIC).
Ann Emerg Med 2020 Feb;75(2):192-205. doi: 10.1016/j.annemergmed.2019.04.033..
Keywords: Emergency Department, Quality Improvement, Quality Indicators (QIs), Quality Measures, Quality of Care, Imaging, Diagnostic Safety and Quality
Colton K, Richards CT, Pruitt PB
Early stroke recognition and time-based emergency care performance metrics for intracerebral hemorrhage.
This study compared time for early stroke recognition for intracerebral hemorrhage for hospitals with and without stroke teams. An observational cohort study was conducted at an urban comprehensive stroke center from 2009 to 2017 with 204 cases included. Stroke team activation resulted in faster emergency care compared to no activation. This process resulted in shorter onset-to-arrival times, higher NIH Stroke Scale scores, and higher Glasgow Coma Scale scores.
AHRQ-funded; HS023437.
Citation: Colton K, Richards CT, Pruitt PB .
Early stroke recognition and time-based emergency care performance metrics for intracerebral hemorrhage.
J Stroke Cerebrovasc Dis 2020 Feb;29(2):104552. doi: 10.1016/j.jstrokecerebrovasdis.2019.104552..
Keywords: Stroke, Emergency Department, Provider Performance, Diagnostic Safety and Quality, Quality Improvement, Quality Indicators (QIs), Patient-Centered Outcomes Research, Outcomes, Quality of Care, Evidence-Based Practice, Hospitals
Sheehan SE, Safdar N, Singh H
Detection and remediation of misidentification errors in radiology examination ordering.
In this study, the investigators described the pilot testing of a quality improvement methodology using electronic trigger tools and preimaging checklists to detect "wrong-side" misidentification errors in radiology examination ordering, and to measure staff adherence to departmental policy in error remediation. The investigators concluded that their trigger tool enabled the detection of substantially more imaging ordering misidentification errors than preimaging safety checklists alone, with a high positive predictive value.
AHRQ-funded; HS022087; HS017820.
Citation: Sheehan SE, Safdar N, Singh H .
Detection and remediation of misidentification errors in radiology examination ordering.
Appl Clin Inform 2020 Jan;11(1):79-87. doi: 10.1055/s-0039-3402730..
Keywords: Medical Errors, Adverse Events, Diagnostic Safety and Quality, Patient Safety, Imaging, Quality Improvement, Quality of Care
Singh H, Graber ML, Hofer TP
Measures to improve diagnostic safety in clinical practice.
In this paper, the investigators discuss how the need to develop measures to improve diagnostic performance could move forward at a time when the scientific foundation needed to inform measurement is still evolving. They highlight challenges and opportunities for developing potential measures of "diagnostic safety" related to clinical diagnostic errors and associated preventable diagnostic harm. In doing so, they propose a starter set of measurement concepts for initial consideration that seem reasonably related to diagnostic safety and call for these to be studied and further refined.
AHRQ-funded; HS022087.
Citation: Singh H, Graber ML, Hofer TP .
Measures to improve diagnostic safety in clinical practice.
J Patient Saf 2019 Dec;15(4):311-16. doi: 10.1097/pts.0000000000000338.
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Keywords: Patient Safety, Diagnostic Safety and Quality, Healthcare Delivery, Quality Improvement, Quality of Care, Medical Errors, Adverse Events
Keshvani N, Berger K, Gupta A
Improving respiratory rate accuracy in the hospital: a quality improvement initiative.
Researchers initiated a quality improvement (QI) initiative in hospitals to improve respiratory rate measurement accuracy. Time-keeping devices were added to vital sign carts and patient care assistants were retrained on a newly modified workflow that included concomitant respiratory rate (RR) measurement during automated blood pressure measurement. The median RR measurement rate increased postintervention. This intervention was associated with a 7.8% reduced incidence of tachypnea-specific systemic inflammatory response syndrome. This QI initiative was interdisciplinary, low-cost, and low-tech.
AHRQ-funded; HS022418.
Citation: Keshvani N, Berger K, Gupta A .
Improving respiratory rate accuracy in the hospital: a quality improvement initiative.
J Hosp Med 2019 Nov 1;14(10):673-77. doi: 10.12788/jhm.3232..
Keywords: Patient-Centered Outcomes Research, Quality Improvement, Inpatient Care, Diagnostic Safety and Quality, Hospitals, Quality of Care, Outcomes
Kang SK, Garry K, Chung R
Natural language processing for identification of incidental pulmonary nodules in radiology reports.
The authors developed natural language processing (NLP) to identify incidental lung nodules (ILNs) in radiology reports for assessment of management recommendations using the electronic health records for patients who underwent chest CT before and after implementation of a department-wide dictation macro of the Fleischner Society recommendations. They concluded that NLP reliably automates identification of ILNs in unstructured reports, pertinent to quality improvement efforts for ILN management.
AHRQ-funded; HS024376.
Citation: Kang SK, Garry K, Chung R .
Natural language processing for identification of incidental pulmonary nodules in radiology reports.
J Am Coll Radiol 2019 Nov;16(11):1587-94. doi: 10.1016/j.jacr.2019.04.026..
Keywords: Imaging, Diagnostic Safety and Quality, Health Information Technology (HIT), Electronic Health Records (EHRs), Quality Improvement, Quality of Care
Cochon LR, Kapoor N, Carrodeguas E
Variation in follow-up imaging recommendations in radiology reports: patient, modality, and radiologist predictors.
The purpose of this study was to determine the incidence and to identify factors associated with follow-up recommendations in radiology reports from multiple modalities, patient care settings, and imaging divisions. A trained algorithm classified 318,366 report; the findings indicate that substantial interradiologist variation exists in the probability of recommending a follow-up examination in a radiology report.
AHRQ-funded; HS024722.
Citation: Cochon LR, Kapoor N, Carrodeguas E .
Variation in follow-up imaging recommendations in radiology reports: patient, modality, and radiologist predictors.
Radiology 2019 Jun;291(3):700-07. doi: 10.1148/radiol.2019182826..
Keywords: Shared Decision Making, Diagnostic Safety and Quality, Imaging, Patient Safety, Quality of Care, Quality Improvement
Bundy DG, Singh H, Stein RE
The design and conduct of Project RedDE: a cluster-randomized trial to reduce diagnostic errors in pediatric primary care.
This paper discusses the results of Project RedDE, which was a virtual collaborative quality improvement study to reduce diagnostic errors in pediatric primary care practices. Forty-three practices were initially recruited, with a total of 31 practices left at the end due to practice dropout and two participating practices merging. This study was a randomized controlled trial targeting three common diagnostic errors (missed diagnoses of adolescent depression, abnormal blood pressure, and lack of followup for abnormal laboratory results). Contamination across study groups was a recurring problem, but risk mitigations were used. Electronic health records contributed to teams’ success.
AHRQ-funded; HS203608.
Citation: Bundy DG, Singh H, Stein RE .
The design and conduct of Project RedDE: a cluster-randomized trial to reduce diagnostic errors in pediatric primary care.
Clin Trials 2019 Apr;16(2):154-64. doi: 10.1177/1740774518820522..
Keywords: Adverse Events, Children/Adolescents, Diagnostic Safety and Quality, Medical Errors, Prevention, Primary Care, Quality of Care, Quality Improvement
Kwan BM, Fernald D, Ferrarone P
Implementation and evaluation of a laboratory safety process improvement toolkit.
This study evaluated the quality and usefulness of the revised version of the AHRQ toolkit “Improving Your Office Testing Process”. The toolkit is designed to help primary care practices standardize their laboratory testing processes. Researchers evaluated 2 primary practices. Nineteen clinicians and staff provided survey data. The toolkit was given a positive rating by staff who thought it was easy to use and helped improve the quality improvement (QI) infrastructure.
AHRQ-funded; 233201500025I.
Citation: Kwan BM, Fernald D, Ferrarone P .
Implementation and evaluation of a laboratory safety process improvement toolkit.
J Am Board Fam Med 2019 Mar-Apr;32(2):136-45. doi: 10.3122/jabfm.2019.02.180109..
Keywords: Primary Care, Tools & Toolkits, Diagnostic Safety and Quality, Quality Improvement, Quality of Care
Giardina TD, Haskell H, Menon S
Learning from patients' experiences related to diagnostic errors is essential for progress in patient safety.
Diagnostic error research has largely focused on individual clinicians' decision making and system design, while overlooking information from patients. In this paper, the authors analyzed patient- and family-reported error narratives to explore factors that contribute to diagnostic errors. The authors suggest that health systems should develop and implement formal programs to collect patients' experiences with the diagnostic process and use these data to promote an organizational culture that strives to reduce harm from diagnostic error.
AHRQ-funded; HS022087; HS017820; HS023558.
Citation: Giardina TD, Haskell H, Menon S .
Learning from patients' experiences related to diagnostic errors is essential for progress in patient safety.
Health Aff 2018 Nov;37(11):1821-27. doi: 10.1377/hlthaff.2018.0698..
Keywords: Diagnostic Safety and Quality, Patient Experience, Patient Safety, Quality Improvement
Rinke ML, Singh H, Heo M
Diagnostic errors in primary care pediatrics: Project RedDE.
The objective of this study was to investigate the frequency of two high-frequency/subacute diagnostic errors (DEs), and one missed opportunity for diagnosis (MOD) in primary care pediatrics. DE or MOD rates in pediatric primary care were found to be 54 percent for patients with elevated BP, 11 percent for patients with abnormal laboratory values, and 62 percent for adolescents with an opportunity to evaluate for depression.
AHRQ-funded; HS022087; HS023608; HS023602.
Citation: Rinke ML, Singh H, Heo M .
Diagnostic errors in primary care pediatrics: Project RedDE.
Acad Pediatr 2018 Mar;18(2):220-27. doi: 10.1016/j.acap.2017.08.005.
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Keywords: Children/Adolescents, Diagnostic Safety and Quality, Medical Errors, Primary Care, Quality Improvement
Rogith D, Iyengar MS, Singh H
Using fault trees to advance understanding of diagnostic errors.
In this study, the investigators used fault trees to advance understanding of diagnostic errors. A team of three experts reviewed 10 published cases of diagnostic error and constructed fault trees. The fault trees were modeled according to currently available conceptual frameworks characterizing diagnostic error. The 10 trees were then synthesized into a single fault tree to identify common contributing factors and pathways leading to diagnostic error. The investigators indicate that fault trees might provide a useful framework for both quantitative and qualitative analysis of diagnostic errors.
AHRQ-funded; HS022087; HS023602.
Citation: Rogith D, Iyengar MS, Singh H .
Using fault trees to advance understanding of diagnostic errors.
Jt Comm J Qual Patient Saf 2017 Nov;43(11):598-605. doi: 10.1016/j.jcjq.2017.06.007..
Keywords: Diagnostic Safety and Quality, Patient Safety, Quality of Care, Quality Improvement
Arnold S
AHRQ Author: Arnold S
The imperative to address diagnostic safety.
Diagnostic errors are likely to impact most of us in our lifetime. The author discusses two studies pointing to the vastness of the challenge and the urgency to act now. He also discusses other aspects of this issue and highlights two current AHRQ dedicated research opportunities on diagnostic safety: one to look at the incidence and causes of diagnostic errors in ambulatory care, and the second to look at improvement strategies and interventions.
AHRQ-authored.
Citation: Arnold S .
The imperative to address diagnostic safety.
Diagnosis 2017 Jun 27;4(2):55-56. doi: 10.1515/dx-2017-0017.
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Keywords: Diagnostic Safety and Quality, Medical Errors, Ambulatory Care and Surgery, Patient Safety, Quality Improvement