Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Nnaemeka Okafor is active.

Publication


Featured researches published by Nnaemeka Okafor.


Journal of Biomedical Informatics | 2011

Opportunistic decision making and complexity in emergency care

Amy Franklin; Ying Liu; Zhe Li; Vickie Nguyen; Todd R. Johnson; David J. Robinson; Nnaemeka Okafor; Brent King; Vimla L. Patel; Jiajie Zhang

In critical care environments such as the emergency department (ED), many activities and decisions are not planned. In this study, we developed a new methodology for systematically studying what are these unplanned activities and decisions. This methodology expands the traditional naturalistic decision making (NDM) frameworks by explicitly identifying the role of environmental factors in decision making. We focused on decisions made by ED physicians as they transitioned between tasks. Through ethnographic data collection, we developed a taxonomy of decision types. The empirical data provide important insight to the complexity of the ED environment by highlighting adaptive behavior in this intricate milieu. Our results show that half of decisions in the ED we studied are not planned, rather decisions are opportunistic decision (34%) or influenced by interruptions or distractions (21%). What impacts these unplanned decisions have on the quality, safety, and efficiency in the ED environment are important research topics for future investigation.


Emergency Medicine Journal | 2016

Using voluntary reports from physicians to learn from diagnostic errors in emergency medicine

Nnaemeka Okafor; Velma L. Payne; Yashwant Chathampally; Sara Miller; Pratik Doshi; Hardeep Singh

Objectives Diagnostic errors are common in the emergency department (ED), but few studies have comprehensively evaluated their types and origins. We analysed incidents reported by ED physicians to determine disease conditions, contributory factors and patient harm associated with ED-related diagnostic errors. Methods Between 1 March 2009 and 31 December 2013, ED physicians reported 509 incidents using a department-specific voluntary incident-reporting system that we implemented at two large academic hospital-affiliated EDs. For this study, we analysed 209 incidents related to diagnosis. A quality assurance team led by an ED physician champion reviewed each incident and interviewed physicians when necessary to confirm the presence/absence of diagnostic error and to determine the contributory factors. We generated descriptive statistics quantifying disease conditions involved, contributory factors and patient harm from errors. Results Among the 209 incidents, we identified 214 diagnostic errors associated with 65 unique diseases/conditions, including sepsis (9.6%), acute coronary syndrome (9.1%), fractures (8.6%) and vascular injuries (8.6%). Contributory factors included cognitive (n=317), system related (n=192) and non-remedial (n=106). Cognitive factors included faulty information verification (41.3%) and faulty information processing (30.6%) whereas system factors included high workload (34.4%) and inefficient ED processes (40.1%). Non-remediable factors included atypical presentation (31.3%) and the patients’ inability to provide a history (31.3%). Most errors (75%) involved multiple factors. Major harm was associated with 34/209 (16.3%) of reported incidents. Conclusions Most diagnostic errors in ED appeared to relate to common disease conditions. While sustaining diagnostic error reporting programmes might be challenging, our analysis reveals the potential value of such systems in identifying targets for improving patient safety in the ED.


Western Journal of Emergency Medicine | 2015

Voluntary Medical Incident Reporting Tool to Improve Physician Reporting of Medical Errors in an Emergency Department

Nnaemeka Okafor; Pratik Doshi; Sara Miller; James J. McCarthy; Nathan R. Hoot; Bryan F. Darger; Roberto C. Benitez; Yashwant Chathampally

Introduction Medical errors are frequently under-reported, yet their appropriate analysis, coupled with remediation, is essential for continuous quality improvement. The emergency department (ED) is recognized as a complex and chaotic environment prone to errors. In this paper, we describe the design and implementation of a web-based ED-specific incident reporting system using an iterative process. Methods A web-based, password-protected tool was developed by members of a quality assurance committee for ED providers to report incidents that they believe could impact patient safety. Results The utilization of this system in one residency program with two academic sites resulted in an increase from 81 reported incidents in 2009, the first year of use, to 561 reported incidents in 2012. This is an increase in rate of reported events from 0.07% of all ED visits to 0.44% of all ED visits. In 2012, faculty reported 60% of all incidents, while residents and midlevel providers reported 24% and 16% respectively. The most commonly reported incidents were delays in care and management concerns. Conclusion Error reporting frequency can be dramatically improved by using a web-based, user-friendly, voluntary, and non-punitive reporting system.


Western Journal of Emergency Medicine | 2017

Improved accuracy and quality of information during emergency department care transitions

Nnaemeka Okafor; Justin Mazzillo; Sara Miller; Kimberly A. Chambers; Samar Yusuf; Vanessa Garza-Miranda; Yashwant Chathampally

Introduction Suboptimal communication during emergency department (ED) care transitions has been shown to contribute to medical errors, sometimes resulting in patient injury and litigation. The study objective was to determine whether a standardized checkout process would decrease the number of relevant missed clinical items (MCI). Methods In this prospective pre- and post-intervention study conducted in an urban academic ED, we collected data on omitted or inaccurately conveyed medical information before and after the initiation of a standardized checkout process. The intervention included group checkout in an optimal location, review of electronic medical records, case discussion and assigned roles. MCI were considered relevant if they resulted in a delay or alteration in disposition or treatment plan. The primary outcome was the change in the number of MCI. Secondary outcomes were duration of checkout and physician satisfaction with the intervention. Results Pre-intervention, there were 94 relevant MCI during 164 care transitions. Post-intervention, there were 36 MCI in 157 transitions. The mean MCI per transition decreased by 58% from 0.57 (95% confidence interval [CI] [0.41, 0.73]) to 0.23 (95% CI [0.11–0.35]). Instituting the intervention did not lengthen checkout duration, which was 15 minutes (95% CI [13.81–16.19]) pre-intervention and 14 minutes (95% CI [12.99–15.01]) post-intervention. The majority of participants (73.4%) felt that the process decreased MCI, and 89.5% reported that the new process had a positive or neutral effect on their satisfaction with care transitions. Conclusion The adoption of a standardized care transition process markedly decreased clinically relevant communication errors without lengthening checkout duration.


Journal of Biomedical Informatics | 2017

Dashboard visualizations: Supporting real-time throughput decision-making

Amy Franklin; Swaroop Gantela; Salsawit Shifarraw; Todd R. Johnson; David J. Robinson; Brent King; Amit M. Mehta; Charles L. Maddow; Nathan R. Hoot; Vickie Nguyen; Adriana Rubio; Jiajie Zhang; Nnaemeka Okafor


semantic web applications and tools for life sciences | 2014

A work domain ontology for modeling emergency department workflow

Cui Tao; Nnaemeka Okafor; Amit M. Mehta; Charles L. Maddow; David J. Robinson; Brent King; Jiajie Zhang; Amy Franklin


american medical informatics association annual symposium | 2014

Using TURF to understand the functions of interruptions.

Vickie Nguyen; Nnaemeka Okafor; Jiajie Zhang; Amy Franklin


AMIA | 2016

Comparison of Emergency Department Throughput Visualizations.

Swaroop Gantela; Todd R. Johnson; Nnaemeka Okafor; David J. Robinson; Brent King; Amit M. Mehta; Nathan R. Hoot; Charles L. Maddow; Vickie Nguyen; Adriana Rubio; Amy Franklin


AMIA | 2015

Dashboard Visualizations of Emergency Department Throughput Metrics.

Swaroop Gantela; Todd R. Johnson; Nnaemeka Okafor; David J. Robinson; Amit M. Mehta; Charles L. Maddow; Brent King; Tina Chacko; Salsawit Shifarraw; Vickie Nguyen; Adriana Stanley; Amy Franklin


Annals of Emergency Medicine | 2014

154 Evaluation of a SIRS Alert Tool as a Method for Early Detection of Sepsis in the Emergency Department

Nnaemeka Okafor; A.M. Mehta; C.J. Freeman; Pratik Doshi

Collaboration


Dive into the Nnaemeka Okafor's collaboration.

Top Co-Authors

Avatar

Amy Franklin

University of Texas Health Science Center at Houston

View shared research outputs
Top Co-Authors

Avatar

Amit M. Mehta

University of Texas Health Science Center at Houston

View shared research outputs
Top Co-Authors

Avatar

Vickie Nguyen

University of Texas Health Science Center at Houston

View shared research outputs
Top Co-Authors

Avatar

Brent King

University of Texas Health Science Center at Houston

View shared research outputs
Top Co-Authors

Avatar

David J. Robinson

University of Texas Health Science Center at Houston

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Jiajie Zhang

University of Texas Health Science Center at Houston

View shared research outputs
Top Co-Authors

Avatar

Nathan R. Hoot

Vanderbilt University Medical Center

View shared research outputs
Top Co-Authors

Avatar

Todd R. Johnson

University of Texas Health Science Center at Houston

View shared research outputs
Top Co-Authors

Avatar

Yashwant Chathampally

University of Texas Health Science Center at Houston

View shared research outputs
Researchain Logo
Decentralizing Knowledge