Reduction of CLABSI Incidence using a Central Line Maintenance Best Practice Advisory

Identification: P12

This initiative’s purpose was to reduce the catheter line-associated blood infection incidence rate (CLABSI) in the medical intensive care unit (MICU) to zero and maintain that rate by utilizing the best practice advisory (BPA) alert feature located in Epic, the institution’s EMR.

The 12-bed MICU of our urban full-service teaching hospital had 808 central line days for the first 5 months of 2021. During this time, the CLABSI incidence rate was elevated at a monthly average of 9.1.

Nursing informatics/quality brainstormed solutions to reduce the CLABSI incidence rate. We decided to utilize our pre-existing central venous line (CVL) maintenance order set and Epic’s clinical decision support systems (CDSS). We focused on prevention as the primary way to reduce the incidence rate. We developed the CVL maintenance order set from evidence-based practice (EBP) guidelines. This set contains orders that supports proper CVL flush protocols and various dressings, including CHG dressings for preventing infection.

The team observed that CVL maintenance orders were not always in place after central line insertion. Therefore, we leveraged BPAs, alerts that display when triggered by an action. They are a form of CDSS located within Epic. Our novel approach was to have the BPA trigger immediately after the documented placement of a CVL. Medical center information technology (MCIT) worked with Epic technical services to implement a programming solution that allowed for the following process: The provider signs the note, which triggers: 1) the CVL insertion order being added automatically and 2) the BPA alerts the provider to place the CVL maintenance order set.

After creating the BPA, testing involved monitoring its triggers for the right action and role. Go-live was on May 19, 2021. We used tools available in Epic to evaluate the BPA after implementation. The BPA fired in the MICU for 28 unique patients during the evaluative period (June –September). Of those 28 unique patients, 20 (71%) of the times, the provider placed a maintenance order; 7(25%), the provider chose the acknowledgement reason indicating that they placed the order outside of the BPA; and in 1 (4%) case the provider indicated they would place the order in the BPA, but no order was found. Our outcome measurement was the CLABSI incidence rate in the MICU. The rate dropped to zero from June through September 2021. The MICU had 235 central line days during this period.

Combining EBP and CDSS contributed to a significantly reduced CLABSI incidence rate in the MICU. To be effective, a CDSS alert should display for the user that has the most ability to act on it. Our innovative approach involved designing the BPA to fire when the provider signs the procedure note, right after physically placing the central line, which allowed informatics to target the alert to maximize its value. We suggest reviewing other BPAs (or similar CDSS tools in your EMR) that may also benefit from changing their triggering method.


Validity and Usability of mHealth App Selection Method Based on Users' Needs (MASUN 2.0)

Identification: P13

Purpose: This study was conducted to validate a framework for selecting a mHealth app, namely MASUN 2.0 (method of app selection based on user needs 2.0) and evaluate its usability for selecting the optimal mHealth app to support women with menstrual discomfort, including dysmenorrhea and premenstrual syndrome.

Background/significance: There are more than 400,000 mHealth apps in 2021. Most users often choose mHealth apps based on ranking, rating, or reviews. However, for effective, safe, and highly compliant health management using mHealth apps, not only popularity but also user needs and expert judgment should be included in the app selection process. For this, MASUN 2.0 needs to check its validity and usability.

Methods: This study was conducted in two phases: 1) validation of the MASUN 2.0 through surveys with 13 nursing informatics experts, 2) usability testing of MASUN 2.0 with clinical experts, app experts, and users in selecting the optimal mHealth apps for menstrual discomfort. In phase 1, questionnaires were used to check 4 aspects: importance, applicability, relevance, and clarity. In phase 2, after screening 2,377 menstrual apps in Apple iTunes and Google Play Store, five apps became the candidate apps, and the apps were reviewed by a total of 15 experts: clinical experts, app experts, and potential users. Lastly, 194 young women participated in a usability test to assure the best app.

Results: Through phase 1, the MASUN 2.0 has been modified to be simple: a total of 11 required tasks, 1 optional task, 21 sub-tasks. Additionally, the English version of the MASUN 2.0 guideline with detailed descriptions and estimated times was created based on nursing informatics expert responses. In phase 2, the 194 participants who used the best app reported that the app helped them realize their menstrual and premenstrual syndromes and pattern. Moreover, they rated the app as higher in impact, perceived usefulness, and ease of use than other candidate apps.

Conclusions/implications: This study verified the applicability of MASUN 2.0 for a menstrual-related app selection. We found the optimal app derived through MASUN 2.0 could be used for menstruation-related health management of patients who experience menstrual discomfort in a clinical environment. In the future, if an optimal app related to other health problems such as diabetes or inflammatory bowel disease is derived through MASUN 2.0 in other countries, it would suggest the usability of MASUN 2.0 has expanded.

Learning outcomes: Learners will understand how to select the mHealth app based on the healthcare needs of digital health consumers and the judgment of clinical experts. The MASUN guidelines can be the validated criteria for evaluating the quality of mHealth apps. Additionally, the cases in our study will allow learners to identify the mHealth app to address menstrual discomfort in young women and the influences of using the menstrual app.

Leveraging Technology for EMR Account Request Process

Identification: P14

The American Nurses Association’s Nursing Informatics Scope and Standards of Practice identifies compliance and integrity management as a core functional area of nursing informatics. The informatics nurse specialists advocates for protecting health information, ensuring the ethical use of patient data, maintaining the data’s integrity and security, and protecting the confidentiality of patient health information. Moving beyond EHR implementation, INS also play a key role in leveraging technology to optimize workflows in the healthcare setting.

The security informatics nurse specialists in the department of clinical research clinical informatics at the Clinical Center, National Institutes of Health (NIH), function in a unique position as advocates in protecting patient health information. The security INS is responsible for the oversight and management of end-user accounts for the clinical research information system (CRIS) electronic health record. This includes creating, modifying, and inactivating user accounts, as well as performing ongoing maintenance tasks surrounding access to the EHR application. The team supports EHR user accounts for all interdisciplinary staff (clinical and research) for the entire NIH community, which comprises of the clinical center and 27 institutes and centers. The security team INS is responsible for determining the security rights to assign to end users based on their roles and job functions, as well as the level of EHR training completed.

The user accounts process was initiated by the submission of the CRIS account request PDF form to the CRIS security team. This was followed by a series of steps to grant the user access to the EMR. However, the workflow was cumbersome for the requestor and the security INS. Deficiencies included misplaced/lost paper forms, inaccurate form completion, web browser limitations, and signature authentication issues. These led to end user delayed access to the EMR, user dissatisfaction, and ultimately disruption in the continuum of care. Moreover, there were administrative challenges with the storing and archiving PDF forms, as well as the retrieval and auditing of user access data. Remote work related to the COVID-19 pandemic added another layer of technical complexity in the process.

The team implemented a quality improvement project to streamline the user account process by developing a one-stop electronic process utilizing automated workflow technology. This involved forming an alliance and collaborating with a multidisciplinary team of stakeholders to revise user account policies and processes. The systems development life cycle framework was used to bring the project from inception to completion. End user acceptance was vital to the success of this project. The project results were decreased administrative workload, improved communication, user interface, simplified workflow, and increased user satisfaction.


COVID-19 and the Impact on the Nursing Informatics Workforce

Identification: P15

COVID-19 has drastically changed the lives of millions around the world. The pandemic has shifted care from in-person appointments to virtual care through various telehealth modalities seamlessly overnight. Priorities for care were reestablished and our nursing workforce was forced to adapt working in a variety of specialties and working conditions. Countless lives have been saved; however, in September 2021, the American Nurses Association declared the resulting nursing shortage a national emergency. The purpose of this review is to begin to examine in more depth the impact of COVID-19 on the nursing informatics workforce and explore how technology and workflow can be further adapted and implemented as potential solutions for the nursing workforce as a whole.

In December 2021, the South Texas Chapter established a taskforce to begin to investigate challenges the informatics community is facing throughout the panhandle. The group’s central goal is to identify immediate and long-term technology and workflow actions that must be taken to mitigate the adverse effects of the pandemic such as staffing and supply shortages. Understanding these effects in various contexts is essential to conduct research, implement innovative interventions, and create supportive policies. A literature review is also in the process of being conducted.

Lessons learned through the workgroup are anticipated to discuss a variety of issues regarding policy, training, and clinical workflow and how they can be redesigned to assist providers and patients.

System Improvement Comes through Partnerships

Identification: P16

Because of the IOM’s 2000 seminal work, “To Err Is Human” (IOM, 2000), 96% of hospitals and 86% of physician offices have successfully adopted electronic health records (Glaser, 2020). Unfortunately, the challenges of EHR implementations have been replaced by frustration due to system optimization delays and their impacts to patient care and excessive demands on clinical users (Liu, et.al. 2019).

How are we as informatics leaders to manage the demands for system enhancements, including defining propriety and prioritization of requests to address gaps, practice changes, and strategic goals? Models vary from queue-based approaches in which requests are prioritized according to order of submission, i.e., “first in, first out”, to governing bodies managing the oversight of work, to the “squeaky wheel” model in which the person who “yells the loudest, wins.”

This presentation will report the outcomes experienced with the implementation of governing bodies, philosophies of accountability and design standards, and objective impact assessments to prioritize work, minimize waste, and maximize implementation effectiveness and efficacy.

Effective management of system enhancements requires the following resources:
•    Governance
•    Standard work for design, build, and implementation
•    Prioritization assessment tool

Governance: Having governing bodies to direct EHR and technological developments in support of operational strategic goals is essential. Equally important is the availability of a governing body possessing a boots-on-the-ground knowledge to successfully assess new EHR enhancement requests for cogency with operational policies and procedures, as well as define the prioritization of the new request against the backlog of work appropriately (KPMG, 2017, p. 3).

This governing body will also assign subject matter experts (SMEs) involved in or affected by the change to ensure outcome will meet operational needs while ensuring engagement required for the successful implementation of the request.

Standards: Informatics leaders can support timely implementation of work through the use of standards, including those for estimation of time required for designing and building specific work types and the turnaround time of deliverables to minimize waste during implementation.

Prioritization: A tool that marries estimated work effort with evaluation of operational impact yields a more objective means of prioritizing the backlog of system enhancements in the queue. To ensure the implementation of system optimization requests are prioritized with the goal of achieving the greatest operational benefit, a scoring tool can help eliminate subjectivity and ensure resources are used to achieve the greatest operational benefit.

Outcome: After the implementation of these tools, my organization experienced a 15% increase in EHR system optimizations.

Patient Safety Impact: Implementation of Electronic Consents

Identification: P17

Elements of care require documented patient consent and patient care staff need to review required consent prior to performing care. Paper consent forms are completed by handwriting required elements such as “procedure” and “risks,” and then the provider and consenting party provide signatures. If handwriting is illegible, the paper consent form is misplaced or the consent is not readable due to poor scanning technique, procedures can be delayed and present a patient safety risk. Electronic consent workflows can improve the quality of this process and reduce potential patient safety issues. Employing principles of a quality improvement framework, our institution initiated an enterprise-wide implementation of an electronic consent workflow. Our initial experience has shown improvements in consent completion.

After the identification of areas with higher consent volume, a new feature in our electronic health record (EHR) was rolled out one department at a time. Staff had the ability to access specific department phrases and terms to assist with creation of the consent. Ease of use, familiarity with the HER, and targeted staff training supported user adoption. To support review and consent by the consenting party, dedicated patient/family tablet devices were deployed to each area as part of implementation. Consenting parties also had the option to review and sign via patient portal.

Process mapping of current and future consent workflow was completed to assist with understanding the associated steps and responsibilities. Additionally, to understand current state practice, a manual audit of institution-based consent-related incident reports was completed. To assist with evaluation of this implementation, review of pre- and post-implementation consents by department were completed. Post-implementation results found electronic consents 100% of the time and all required elements of the consent were legible. Our results support the potential of this workflow to decrease risks to patent safety and increase efficiency by removing the delay of finding a paper consent, finding a consent that had been scanned but is not easily read, or finding a consent that is illegible. Tracking adoption of this process by department has also been set up and will inform leadership of any need to further investigate implementation issues or need for training support.


Positive Implications of Implementing a Clinical Mobile Device in an Oncology Infusion Hospital Outpatient Department

Identification: P18

Purpose: To evaluate the impact of a clinical mobile device configured with a unique suite of clinical applications on registered nurse (RN) workflows in an oncology infusion hospital outpatient department (HOD).

Description: In early 2021, a current-state assessment revealed low barcode scanning compliance, as low as 50% compliance for blood product scanning. Challenges with communication were also identified within the 52-bay oncology infusion hospital outpatient department. After in-depth research into potential solutions, it was determined that a clinical mobile device designed to enhance communication and barcode scanning workflows would be piloted as a potential solution. The pilot went live in early November and included the deployment of 28 clinical mobile devices and 50 battery-life extension cases to accommodate a peak staffing of 25 RNs.

Evaluation/outcome: Outcomes for this project include improved barcoded blood administration scanning (BBAS) compliance, interprofessional communication, and end user satisfaction. Blood product scanning compliance metrics went from 50% to 100% since the first day of implementation. End user feedback to date has revealed improved satisfaction with ease of barcode scanning and communication with colleagues. The pilot is ongoing and findings from an in-progress pre- and post-implementation survey will be reported during the presentation.

Learning objectives
•    Leverage compliance metrics to evaluate impact of clinical mobile device deployment in a hospital outpatient department oncology infusion unit.
•    Design and develop a qualitative survey targeted at uncovering the user story behind quantitative metrics, such as electronic health record system reports.
•    Synthesize qualitative and quantitative feedback from clinical end users into system requirements and system optimizations.

References
1)    de Jong, A., Donelle, L., & Kerr, M. (2020). Nurses' use of personal smartphone technology in the workplace: Scoping review. JMIR mHealth and uHealth, 8(11), e18774. https://doi.org/10.2196/18774
2)    Farrell M. (2016). Use of iPhones by nurses in an acute care setting to improve communication and decision-making processes: Qualitative analysis of nurses' perspectives on iPhone use. JMIR mHealth and uHealth, 4(2), e43. https://doi.org/10.2196/mhealth.5071
3)    Flynn, G., Polivka, B., & Behr, J. H. (2018). Smartphone use by nurses in acute care settings. Computers, Informatics, Nursing: CIN, 36(3), 120-126. https://doi.org/10.1097/CIN.0000000000000400

Rethinking the Infusion of Informatics into Nursing Practice

Identification: P20

The impact of the informatics gap in nursing and healthcare has been recognized at a national and global level. Informatics processes and information technology is an essential part of the infrastructure of healthcare today and is implemented to improve access to care and health information, provide safer care, and decrease healthcare costs. This gap is so significant that it has triggered mention in the Nursing 2020-2030 report and spurred changes in nursing education expected competencies as outlined within the new American Association of Colleges of Nursing (AACN) Essentials for Professional Nursing Education. The updated AACN Essentials outlines ten intersecting competency domains, including a specified set of informatics and healthcare technology subcompetencies that are both demonstrable and measurable.

However, there are two challenges. First, it is urgent that nurses at the entry-to-practice and advanced levels be competent to thrive and lead in today’s technology and data rich environment because it is impossible to separate clinical practice from the data, information, and technology that drive it. Informatics competencies involve any actions performed by nurses in their daily practice that involve the intersection between humans and data or technology. Examples include texting, entering and locating data to create information, chronicling assessment findings and outcomes, and disseminating knowledge. Errors associated with insufficient informatics capability include failure to recognize health patterns and trends across time, patient disability and death due to inability to locate key information in the EHR, overreliance on technology, failure to respond to alerts and monitors, nursing burnout, unsafe workarounds, and poor patient outcomes. The responsibility for improving daily practice informatics competency rests on nursing educators, academia, healthcare organizations, nursing leaders, and front-line nurses. However, educators and faculty often do not have the competency or basic understanding of this domain to adequately plan for and deliver the learning content in relation to the core content they deliver.

Second, there are many more nurse educators than there are academic-based informatics trained faculty. Therefore, a national train-the-trainer process with multiorganizational collaboration is under development. ANIA is a key partner. Resources and tools are being developed to provide professional development, education materials, and potential curricular ideas for nursing faculty, leaders, educators, and practicing nurses to infuse into their teaching and mentoring. Included in the resources will be competency self-assessment tools, guidance for professional development, toolkits with case studies, teaching resources, and learner assessment ideas that will allow a clinical educator or professional development staff member to determine a student’s capability to thrive and lead. Information in the materials can also guide practice sites in their development of job descriptions and career ladders.

Rockin’ to Streamline Workflow through Clinical Simulations

Identification: P21

Adding simulation encourages subject matter experts and non-experts to gain more insight in to not only how a piece of technology can improve their process on the unit, but also other factors that may impact that process. In the traditional system development life cycle (SDLC), clinical informatics can use the flexibility and partnership with information services for the best time to incorporate a simulation and come with the best outcome for patient safety and customer satisfaction.

The presentation will share how the clinical informaticist led a large healthcare system in collaboration with the simulation and information services (IS) partners develop a strategy for addressing challenges in supportive technology:
• Clarification of the goal to simulate a unit’s needs
•    Timely requirements from stakeholders and multidisciplinary areas to bring forth the resources to create the simulation
•    Accountability and evaluation from a clinical simulation

Participant will be able to:
•    Describe what simulations entails when implementing technology
•    Understand the details related to simulations and what departments to consider
•    Discuss how organizations can apply simulations as part of their SDLC in improving further build and/or processes
•    Describe the need for accountability from the end user for outcomes from the clinical simulation


Performing a Needs Assessment on the Use of an Academic Electronic Health Record at a School of Nursing

Identification: P22

Background/purpose: Meaningful use spurred healthcare systems to transition to using electronic health record (EHR) systems as a standard technology to capture vital data. Nurses use EHR systems as an essential part of their work as they monitor patients, document, communicate, and support direct patient care. To ensure all nurses can fully engage with this and other technology tools, the AACN developed revised competency expectations of nursing graduates at all levels. But a gap exists. Many schools of nursing lack the resources and faculty competency to fully use an EHR as part of education to meet the expected competencies. Identifying needs from a faculty perspective and providing evidence-based recommendations and guidance for EHR use and education could improve implementation of this needed technology and the competency to use the technology to its full potential.

Description: To determine self identified faculty competency gaps, a survey was developed as part of a needs assessment related to the use of an academic EHR during teaching at a large academic school of nursing. The survey assessed the faculty's awareness of the current system, perceptions of potential use to achieve competencies, and opinions of needed features. The anonymous survey was administered to nursing school undergraduate and graduate faculty within an academic medical center school of nursing.

Evaluation: Findings indicate that faculty believe that there is a benefit to incorporating an academic EHR system into teaching to increase competence of the students and deeper use of the EHR data and information. Deficits in how to incorporate an academic EHR into practice were noted among faculty. Detailed data will be available at time of the conference. Data is awaiting review and approval internally.

Conclusion: Increasing the use of technology within nursing education is a priority. Nursing faculty recognize that academic EHRs can be used to teach nursing informatics competencies. Not all faculty feel that they have the support and knowledge needed to execute this teaching strategy. Support should be offered to faculty when an academic EHR is in place to optimize the potential of the learning system.