Telehealth-guided provider-to-provider communication to improve rural health: A systematic review.

Introduction: Telehealth may address healthcare disparities for rural populations. This systematic review assesses the use, effectiveness, and implementation of telehealth-supported provider-to-provider collaboration to improve rural healthcare.

Methods: We searched Ovid MEDLINE®, CINAHL®, EMBASE, and Cochrane CENTRAL from 1 January 2010 to 12 October 2021 for trials and observational studies of rural provider-to-provider telehealth.

Coincidence Analysis: A Novel Approach to Modeling Nurses' Workplace Experience.

Objectives: The purpose of this study is to identify combinations of workplace conditions that uniquely differentiate high, medium, and low registered nurse (RN) ratings of appropriateness of patient assignment during daytime intensive care unit (ICU) work shifts.

Methods: A collective case study design and coincidence analysis were employed to identify combinations of workplace conditions that link directly to high, medium, and low RN perception of appropriateness of patient assignment at a mid-shift time point. RN members of the study team hypothesized a set of 55 workplace conditions as potential difference makers through the application of theoretical and empirical knowledge.

Patients' lived experiences and recommendations for enhanced awareness and use of integrative oncology services in cancer care.

Background: Consuming educational content, adhering to treatment plans and managing symptoms and side-effects can be overwhelming to new oncology patients.

Objective: The purpose of this study is to engage patients in conceptualization of enhanced clinic processes and digital health tools to support awareness and use of integrative oncology services.

Patient Involvement: We engaged patients in participatory design to understand lived experiences surrounding use of integrative oncology services during and after conventional cancer treatment.

Registered Nurse Strain Detection Using Ambient Data: An Exploratory Study of Underutilized Operational Data Streams in the Hospital Workplace.

Background: Registered nurses (RNs) regularly adapt their work to ever-changing situations but routine adaptation transforms into RN strain when service demand exceeds staff capacity and patients are at risk of missed or delayed care. Dynamic monitoring of RN strain could identify when intervention is needed, but comprehensive views of RN work demands are not readily available. Electronic care delivery tools such as nurse call systems produce ambient data that illuminate workplace activity, but little is known about the ability of these data to predict RN strain.

Subtle cues: Qualitative elicitation of signs of capacity strain in the hospital workplace.

Through everyday care experiences, nurses develop expertise in recognition of capacity strain in hospital workplaces. Through qualitative interview, experienced nurses identify common activity changes and adaptive work strategies that may signal an imbalance between patient demand and service supply at the bedside. Activity change examples include nurse helping behaviors across patient assignments, increased volume of nurse calls from patient rooms, and decreased presence of staff at the nurses' station.

Current practices in clinical analytics: a hospital survey report.

Clinical analytics must become a pervasive activity in healthcare settings to achieve the global vision for timely, effective, equitable, and excellent care. Global adoption of the Electronic Health Record (EHR) has increased the volume of data available for performance measurement and healthcare organizational capacity for continuous quality improvement. However, EHR adoption does not automatically result in optimal use of clinical data for performance improvement.