Informatics Experience Can Help Predict Doctor of Nursing Practice Student Mastery of Informatics Competencies.

With information technology increasingly guiding nursing practice, Doctor of Nursing Practice students must be prepared to use informatics to optimize patient outcomes despite their varied experience and education. Understanding how students' baseline experience affects their mastery of informatics competencies could help faculty design Doctor of Nursing Practice course content. Therefore, the aim of this retrospective descriptive study was to evaluate whether Doctor of Nursing Practice students' baseline informatics experience affected their mastery of four competencies: meaningful use, datasets, e-health, and clinical support systems. Participants were Doctor of Nursing Practice students (n = 55) enrolled in an online informatics course. Participant experience was compared to competency mastery using χ tests. Logistic regression was performed to assess the effect of experience and highest degree obtained on competency mastery. Analysis revealed that participants with meaningful use experience were significantly more likely to master the meaningful use competency than were those without it. Relevant experience did not predict mastery of dataset competencies. Participants with e-health experience were significantly more likely to master the e-health competency (applying e-health resources to vulnerable patients' learning needs). While not significant, a greater percentage of students with clinical support systems experience mastered the clinical support systems competency. Informatics courses might need to be designed to address students' needs based on their experience.

Integrated Technology Implementation Model: Examination and Enhancements.

The Integrated Technology Implementation Model introduced in 2015 highlighted elements that affect the process of integrating technology into healthcare practice and guide the selection of interventions leading the user to adopt. The Integrated Technology Implementation Model provides a conceptual guide for nursing leadership, vendors, and engineers to focus their work on technology adoption. The purpose of this exploratory qualitative study was to examine organizational and individual implementation themes and whether these themes were represented in the Integrated Technology Implementation Model. The study used focus groups and one-on-one interviews. The unit of analysis was the informants focusing on experiences of electronic health record technology implementation, leading to the adoption of a certified, Web-hosted electronic health record enterprise system. The study setting was three Michigan nonprofit long-term care facilities. The population consisted of nursing directors, nurses (RNs and LPNs), and certified nurse aides. The recruitment target was 30 participants, which was attained in the study. The ground theory method approach was used to analyze the data. From the data analysis, it was determined that workflow was not a comprehensive enough concept. The model was enhanced by adding the new work process concept, which is described as the sequence of activities and use of technology to achieve quality care for patients.

Discovery of Implementation Factors That Lead to Technology Adoption in Long-Term Care.

The current exploratory, qualitative study discovered and clarified implementation factors that led to technology adoption in long-term care (LTC). The Integrated Technology Implementation model guided the study of an electronic health record used in three LTC settings. Thirty key stakeholders (i.e., directors of nursing, nurses, and certified nurse aides) participated in focus groups or interviews. Findings indicated experiences were more similar than different among groups and facilities. Five major implementation themes supported by a variety of minor themes were identified. Implications for nursing include that leaders must be knowledgeable and committed to the change and engage staff throughout the implementation process. In addition, various communication and education strategies are required. [Journal of Gerontological Nursing, 43(10), 21-26.].

Guiding healthcare technology implementation: a new integrated technology implementation model.

Healthcare technology is used to improve delivery of safe patient care by providing tools for early diagnosis, ongoing monitoring, and treatment of patients. This technology includes bedside physiologic monitors, pulse oximetry devices, electrocardiogram machines, bedside telemetry, infusion pumps, ventilators, and electronic health records. Healthcare costs are a challenge for society, and hospitals are pushed to lower costs by discharging patients sooner. Healthcare technology is being used to facilitate these early discharges. There is little understanding of how healthcare facilities purchase, implement, and adopt technology. There are two areas of theories and models currently used when investigating technology: technology adoption and implementation science. Technology adoption focuses mainly on how the end users adopt technology, whereas implementation science describes methods, interventions, and variables that promote the use of evidence-based practice. These two approaches are not well informed by each other. In addition, amplifying the knowledge gap is the limited conceptualization of healthcare technology implementation frameworks. To bridge this gap, an all-encompassing model is needed. To understand the key technology implementation factors utilized by leading healthcare facilities, the prevailing technology adoption and implementation science theories and models were reviewed. From this review, an integrated technology implementation model will be set forth.

A Cost-Benefit Analysis: Electronic Clinical Procedural Resource Supporting Evidence-Based Practice.

There are many benefits of having an electronic reference at the patient bedside. Because of the significant costs involved, it is important to first understand if staff will utilize the system. A cost-benefit analysis of such an electronic clinical procedural resource at one large, academic health system showed a significant savings of $360,899. Having an electronic reference system at the patient bedside increased standardization throughout the organization. Additionally, clinical and instructional experts are not needed to write standard policies and procedures. Ongoing education was needed to increase utilization of the system within the organization.

It takes a team.

Challenging the belief that each patient should be cared for by just one nurse.

Nursing medication administration and workflow using computerized physician order entry.

The benefits of computerized physician order entry systems have been described widely; however, the impact of computerized physician order entry on nursing workflow and its potential for error are unclear. The purpose of this study was to determine the impact of a computerized physician order entry system on nursing workflow. Using an exploratory design, nurses employed on an adult ICU (n = 36) and a general pediatric unit (n = 50) involved in computerized physician order entry-based medication delivery were observed. Nurses were also asked questions regarding the impact of computerized physician order entry on nursing workflow. Observations revealed total time required for administering medications averaged 8.45 minutes in the ICU and 9.93 minutes in the pediatric unit. Several additional steps were required in the process for pediatric patients, including preparing the medications and communicating with patients and family, which resulted in greater time associated with the delivery of medications. Frequent barriers to workflow were noted by nurses across settings, including system issues (ie, inefficient medication reconciliation processes, long order sets requiring more time to determine medication dosage), less frequent interaction between the healthcare team, and greater use of informal communication modes. Areas for nursing workflow improvement include (1) medication reconciliation/order duplication, (2) strategies to improve communication, and (3) evaluation of the impact of computerized physician order entry on practice standards.

Work-arounds and artifacts during transition to a computer physician order entry: what they are and what they mean.

This study examined work-arounds and artifacts in the work performed by nurses and other healthcare providers when physicians transitioned to a computer physician order entry system. There were 5 types of work-arounds and artifacts identified: (1) workflow timing of events, (2) communication changes, (3) system problems, (4) learning curve, and (5) patient safety. Benefits of this study include the ability to understand how nursing work changes in the transition to a computer physician order entry system.

A case study of CPOE adoption and use: work-arounds and their social-technical implications.

This study applies ethnographically-based methods to investigate the socio-technical issues during and after a CPOE system implementation. The research is conducted in an inpatient unit at an academic medical center, where the CPOE is being implemented and clinicians have found to develop ways to workaround the system. The findings of the study will help improve our understanding of the interaction between people, information, and IT systems in a highly efficient and highly collaborative clinical environment.

An introduction to critical paths.

A critical path defines the optimal sequencing and timing of interventions by physicians, nurses, and other staff for a particular diagnosis or procedure. Critical paths are developed through collaborative efforts of physicians, nurses, pharmacists, and others to improve the quality and value of patient care. They are designed to minimize delays and resource utilization and to maximize quality of care. Critical paths have been shown to reduce variation in the care provided, facilitate expected outcomes, reduce delays, reduce length of stay, and improve cost-effectiveness. The approach and goals of critical paths are consistent with those of total quality management (TQM) and can be an important part of an organization's TQM process.