Development and Implementation of an Acute Kidney Injury Remote Patient Monitoring Program: Research Letter.

Acute kidney injury (AKI) survivors have a dynamic posthospital course which warrants close monitoring. Remote patient monitoring (RPM) could be used to improve quality and efficiency of AKI survivor care. Objective: The objective of this report was to describe the development and preliminary feasibility of an AKI RPM program launched in October 2021. Setting: Academic medical center. Patients: Patients enrolled in the AKI RPM program were those who experienced AKI during a hospitalization and underwent nephrology consultation. Measurements/Methods: At enrollment, patients were provided with home monitoring technology and underwent weekly laboratory assessments. Nurses evaluated the data daily and adhered to prespecified protocols for management and escalation of care if needed. Results: Twenty patients were enrolled in AKI RPM in the first 5 months. Median duration of program participation was 36 (31, 40) days. Eight patients (40%) experienced an unplanned readmission, or an emergency department visit, half (N = 4) of which were attributed to AKI and related circumstances. Of the 9 postgraduation survey respondents, all were satisfied with the RPM program and 89% would recommend RPM to other patients with similar health conditions. Limitations: Acute kidney injury RPM was made possible by the existing infrastructure in our integrated health system and the robust resources available in the Mayo Clinic Center for Digital Health. Such infrastructure may not be universally available which could limit scale and generalizability of such a program. Conclusions: Remote patient monitoring can offer a unique opportunity to bridge the care transition from hospital to home and increase access to quality care for the AKI survivors.

Les survivants d'un épisode d'insuffisance rénale aiguë (IRA) ont un parcours post-hospitalier dynamique qui justifie une surveillance étroite. La télésurveillance des patients (TSP) pourrait être employée pour améliorer la qualité et l'efficacité des soins pour les survivants de l'IRA. Objectif: L'objectif de ce rapport était de décrire le développement et la faisabilité préliminaire d'un programme de TSP-IRA (télésurveillance des patients atteints d'IRA) en octobre 2021. Cadre: Centre médical universitaire. Sujets: Les patients inscrits au programme de TSP-IRA étaient des patients qui avaient vécu un épisode d'IRA lors d'une hospitalisation et obtenu une consultation en néphrologie. Mesures et méthodologie: Au moment de l'inclusion, les patients ont reçu un dispositif de surveillance à domicile et se sont soumis à des évaluations de laboratoire hebdomadaires. Les infirmières ont évalué les données quotidiennement et ont respecté des protocoles prédéfinis pour la gestion et l'escalade des soins si nécessaire. Résultats: Vingt patients ont été inclus dans le programme de TSP-IRA au cours des cinq premiers mois. La durée médiane de participation au programme était de 36 (31, 40) jours. Huit patients (40%) ont dû être réadmis de façon non planifiée ou ont dû faire une visite aux urgences; pour la moitié d'entre eux (N = 4) en raison de l'IRA et de circonstances connexes. Parmi les neuf répondants qui ont répondu au sondage à la complétion du programme, tous se sont dits satisfaits du programme de TSP et 89% le recommanderaient à d'autres patients ayant des problèmes de santé similaires. Limites: Le programme de TSP-IRA a été rendu possible grâce à l'infrastructure existante dans notre système de santé intégré et aux ressources robustes disponibles au Mayo Clinic Center for Digital Health. Une telle infrastructure n'est peut-être pas universellement disponible, ce qui pourrait limiter l'ampleur et la généralisabilité d'un tel programme. Conclusion: La TSP peut offrir une occasion unique de faciliter la transition des soins entre l'hôpital et le domicile et d'accroître l'accès à des soins de qualité pour les survivants d'un épisode d'IRA.

Enhancing the patient and family experience during pediatric sleep studies.

STUDY OBJECTIVES: Pediatric polysomnography can result in suboptimal patient and provider (physician and advanced practice provider) experiences. We embarked on a project aimed at increasing the proportion of maximal satisfaction survey scores by a minimum of 10% in 1 year without adding personnel or major expenses. METHODS: We used a Six Sigma framework, define, measure, analyze, improve, and control (DMAIC), to conduct our analysis. For measurement, we designed a project-specific survey that was given to caregivers of children who underwent PSG in February 2018 and repeated the survey after interventions in February 2019. Lean and Six Sigma quality improvement tools were used to define important processes that influence patient satisfaction, including: supplier, input, process, output, customer, and requirements (SIPOC-R); journey mapping; 1-2-4-All brainstorming; and views solicited from our center's Patient and Family Advisory Council. We analyzed the relationships between identified processes and outcomes using usual descriptive statistics. We prioritized interventions using a Kano model and a quality function deployment (QFD) technique to rank priorities for interventions. Multiple opportunities to improve patient and family satisfaction before, during, and after a pediatric polysomnography were identified. Many were simple, one-step interventions and were implemented simultaneously. For those that required substantial training and/or scheduling changes, pilots were performed and plan, do, study, act (PDSA) cycles were used to check effectiveness. RESULTS: After implementation, top box scores rose 20%, from 51% (n = 47) in 2018 to 71% (n = 50) in 2019. CONCLUSIONS: Various quality improvement techniques employed in business, engineering, and manufacturing were used to identify and address areas of improvement in the pediatric polysomnography experience.

Honouring patient's resuscitation wishes: a multiphased effort to improve identification and documentation.

BACKGROUND: Do Not Resuscitate (DNR) orders are intended to safeguard patients' autonomy and prevent unwanted resuscitative care. However, DNR orders may be miscommunicated between health care providers, leading to errors honoring patient wishes during cardiac arrest events. This project focused on improving accuracy of DNR ordering processes for an academic, tertiary care hospital. INTERVENTION: We describe a performance improvement process and outcomes for implementation of an inpatient electronic ordering system that included an automated, decentralized printing process for resuscitation status armbands. Specific phases of this project involved: (a) identification of common factors contributing to errors honoring patients' resuscitation wishes, (b) design of an electronic ordering process, (c) design and integration of a new DNR armband and (d) evaluation of the impact of changes on communication accuracy. The primary outcome was percentage of patients with incorrect designation of resuscitation status on armbands compared to the active resuscitation order in the electronic medical record. RESULTS: After implementation of an electronic ordering process we identified that 37/196 (19%) patients had an armband that did not reflect their documented wishes versus 2/103 (2%) after integration of automated armband printing into the process (p<0.001). No armband discrepancies were found after the first two weeks of post-implementation audits. CONCLUSIONS: Design and implementation of an electronic ordering and armband labeling process reduced discrepancies between patient wishes and the armband labeling of the patient's desired DNR status. It is anticipated that these improvements will reduce the risk of adverse outcomes, and better align clinical processes with patient wishes.