Growing Novice Nurses to Perianesthesia Care: Formation of a Post-Anesthesia Care Unit (PACU) Fellowship.

PURPOSE: To provide a proof of concept of a structured, replicable perianesthesia fellowship program for nurses with less than 2 years of experience and new graduate nurses. DESIGN: An immersive learning experience was implemented as a pilot quality improvement project using the Plan-Do-Study-Act method. METHODS: This 24-week fellowship program used blended learning approaches and the Tiered Skill Acquisition Model (TSAM) to develop foundational Post Anesthesia Care Unit (PACU) skills. Nurse Fellows (4) acquired knowledge in stages, with each week in the program reinforcing and building upon the prior week's learnings. Settings included an initial 10 weeks in the ambulatory PACU, then the acute care PACU (weeks 11-20), and the final 4 weeks were spent in the primary unit where the Fellow would transition into a PACU Staff RN. Through each phase, the Professional Practice Department's Clinical Mentor Nurse promoted preceptor development, facilitated learning experiences and provided bimonthly evaluations of the Nurse Fellow's progress via our institution's clinical rounding tool. We used the Nursing Anxiety and Self-Confidence Associated with Clinical Decision Making (NASC-CDM) scale to assess novice nurses' anxiety and self-confidence associated with making clinical decisions at designated intervals. FINDINGS: All Nurse Fellows completed the program and remained in PACU positions 2 years post-fellowship. They reported discomfort and increased stress transitioning to different PACUs; however, they later indicated reduced anxiety and greater confidence in clinical decision-making, as noted in subsequent evaluations of the NASC-CDM scale. CONCLUSIONS: Perianesthesia fellowship programs incorporating blended learning, skill reinforcement, and formal mentoring on a primary PACU unit build confidence and competence in the novice nurse, making this once-excluded population of nurses a viable option for recruitment directly into the PACU environment.

The Imperative of Solving Nurses' Usability Problems With Health Information Technology.

BACKGROUND: Health information technology (IT) usability issues are a key concern for nurse executives and nurses. OBJECTIVES: The aims of this study are to understand usability pain points faced by nurses regarding the use of health IT, identify their impact and importance, discuss responsibilities, and develop possible solutions to improve the health IT-user experience for nurses. METHODS: Twenty-seven experts were interviewed including nursing leaders, informaticists, executives, engineers, researchers, and human factors experts across acute care, long-term care, and vendor settings. Semistructured questions guided the interviews, and content analysis was used to identify themes. RESULTS: Four themes emerged: 1) user experience pain points, 2) importance of the issues, 3) the responsibility gap, and 4) acting on usability issues. CONCLUSION: Nurses continue to endure significant health IT-usability issues that negatively impact patients, nurses, and healthcare organizations. Solutions include enhancing the voice of nursing at the national and local levels, creating a digital strategy for nursing, providing incentives to improve usability in health IT, and accelerating the understanding of nurses' work intended to inform and translate nurses' work into health IT design.

Improving Clinical Workflow in Ambulatory Care: Implemented Recommendations in an Innovation Prototype for the Veteran's Health Administration.

INTRODUCTION: Human factors workflow analyses in healthcare settings prior to technology implemented are recommended to improve workflow in ambulatory care settings. In this paper we describe how insights from a workflow analysis conducted by NIST were implemented in a software prototype developed for a Veteran's Health Administration (VHA) VAi2 innovation project and associated lessons learned. METHODS: We organize the original recommendations and associated stages and steps visualized in process maps from NIST and the VA's lessons learned from implementing the recommendations in the VAi2 prototype according to four stages: 1) before the patient visit, 2) during the visit, 3) discharge, and 4) visit documentation. NIST recommendations to improve workflow in ambulatory care (outpatient) settings and process map representations were based on reflective statements collected during one-hour discussions with three physicians. The development of the VAi2 prototype was conducted initially independently from the NIST recommendations, but at a midpoint in the process development, all of the implementation elements were compared with the NIST recommendations and lessons learned were documented. FINDINGS: Story-based displays and templates with default preliminary order sets were used to support scheduling, time-critical notifications, drafting medication orders, and supporting a diagnosis-based workflow. These templates enabled customization to the level of diagnostic uncertainty. Functionality was designed to support cooperative work across interdisciplinary team members, including shared documentation sessions with tracking of text modifications, medication lists, and patient education features. Displays were customized to the role and included access for consultants and site-defined educator teams. DISCUSSION: Workflow, usability, and patient safety can be enhanced through clinician-centered design of electronic health records. The lessons learned from implementing NIST recommendations to improve workflow in ambulatory care using an EHR provide a first step in moving from a billing-centered perspective on how to maintain accurate, comprehensive, and up-to-date information about a group of patients to a clinician-centered perspective. These recommendations point the way towards a "patient visit management system," which incorporates broader notions of supporting workload management, supporting flexible flow of patients and tasks, enabling accountable distributed work across members of the clinical team, and supporting dynamic tracking of steps in tasks that have longer time distributions.