Improving Efficiency of Pediatric Hospital Medicine Team Daily Workflow

Improving Efficiency on a Pediatric Hospital Medicine Service With Schedule-Based Family-Centered Rounds

BACKGROUND AND OBJECTIVES

Inconsistencies in the timing and process of family-centered rounds can contribute to inefficiencies in patient care, inconsistent nursing participation, and variable end times. Through the implementation of schedule-based rounds, our aims were to (1) start 90% of rounds encounters within 30 minutes of the scheduled time, (2) increase nursing presence from 79% to >90%, and (3) increase the percentage of rounds completed by 11:20 am from 0% to 80% within 1 year.

METHODS

We used quality improvement methods to implement and evaluate a scheduled rounds process on a pediatric hospital medicine service at a university-affiliated children's hospital. Interventions included customization of an electronic health record-linked scheduling tool, daily schedule management by the senior resident, real-time rounds notification to nurses, improved education on rounding expectations, streamlined rounding workflow, and family notification of rounding time. Data were collected daily and run charts were used to track metrics.

RESULTS

One year after implementation, a median of 96% of rounds encounters occurred within 30 minutes of scheduled rounding time, nursing presence increased from a median of 79% to 94%, and the percentage of rounds completed by 11:20 am increased from a median of 0% to 86%. Rounds end times were later with a higher patient census.

CONCLUSIONS

We improved the efficiency of our rounding workflow and bedside nursing presence through a scheduled rounds process facilitated by an electronic health record-linked scheduling tool.

The recent evolution of patient care rounds in pediatric teaching hospitals in the United States and Canada

Introduction: National trends toward empowering and enabling patients and families to take a bigger role in their own medical care and enhanced collaboration between rounding stakeholders have effectuated a new rounding model in the pediatric inpatient setting known as 'Patient- and Family-Centered Rounds/I-PASS,' which has shown to decrease safety events and to improve stakeholders' experience with rounding. Other enhancements to the new model, such as the use of whiteboards, rounding checklists, and facecards, have all been applied to the new model to good effect. Another major enhancement to rounding of late has been the application of a schedule to rounds, which has increased the presence of the nurse and the family during rounds and has improved rounding efficiency without a negative effect on teaching.Objective:  We provide a review of the literature regarding this new rounding model and its effects in the pediatric inpatient setting, as well as a review of the enhancements that have been applied to the new model, the recognized barriers to the implementation of these rounding alterations and the ways in which those barriers have been overcome. Conclusions:  In the pediatric inpatient setting, the 'Patient and Family-Centered Rounds/IPASS' rounding model, as well as enhancements to this new model such as rounding schedules, whiteboards, checklists and facecards, have had a positive effect on stakeholders' experience with rounding, increased patient safety and improved rounding efficiency.  Given these positive effects, these alterations to rounding should be promoted and sustained.PLAIN LANGUAGE SUMMARYRounding is when a medical care provider, or a team of providers, visits patients in the hospital in order to determine a plan of care and discuss that care with the patient and the patient's family. In teaching hospitals, this involves staff physicians, medical trainees and advanced practice providers. Rounding has changed in the recent past as evolving pressures have increasingly led these teams of providers to talk and make decisions about patients outside the patient's room, which lessens the patient's ability to contribute to decision-making. This also lessens the ability of the patient's nurse to contribute. The recognition of this problem has led to big changes in rounding in children's teaching hospitals, the biggest of which is called 'family-centered rounding.' This involves performing the entirety of rounds in the patients' rooms, directing the discussion toward them in language that they understand, with the active participation of everyone present, including the patient's nurse. Other changes in rounding, designed to improve patients' experiences and decrease medical errors, have made this new rounding model even better. Structured communication during rounds, communication aids such as whiteboards and checklists, and planned times for rounding on each patient ('scheduled rounding') have all successfully been used to improve patients' care and experience in the hospital. This article aims to inform the reader about family-centered rounds and other recent rounding transformations that have proven to increase patient safety and improve their experience while in the hospital, also noting barriers to these changes and how they have been overcome.

Improving Efficiency of Primary Care Provider Communication for Uncomplicated Admissions

BACKGROUND

Communication between inpatient pediatric hospital medicine (HM) and primary care providers (PCPs) is important for quality care. As provider workload increases, it is important to focus on a means to improve communication efficiency. Our goal was to increase the percentage of HM admissions using 1-way communication from 0% to 35% over a 16-month period.

METHODS

HM providers and PCPs collaborated to identify 12 admission diagnoses for which 1-way communication could be used. Using quality improvement methods, we studied the implementation of "Leave a Message" (LAM) calls for 1-way communication and providing PCPs with the option to place a return call. Control charts were used to track LAM call use and balancing measures of PCP return phone calls, additional PCP communications, and 7-day readmissions over time.

RESULTS

A total of 778 LAM calls were placed by HM providers over 16 months. The percentage of LAM calls out of all PCP calls placed ranged from 0% to 35% during this time, increasing significantly during winter months and before the coronavirus disease 2019 pandemic. Only 0.4% (n = 3) of LAM calls were returned by PCPs. Estimated PCP return phone calls were reduced by 11.1 calls per week.

CONCLUSIONS

We created a system for 1-way telephone communication between HM providers and PCPs for common, simple admissions and reduced the need for PCP return phone calls. The low percentage of LAM calls returned by PCPs may suggest that 1-way communication is adequate for most simple admissions.

AI in patient flow: applications of artificial intelligence to improve patient flow in NHS acute mental health inpatient units

Introduction

Growing demand for mental health services, coupled with funding and resource limitations, creates an opportunity for novel technological solutions including artificial intelligence (AI). This study aims to identify issues in patient flow on mental health units and align them with potential AI solutions, ultimately devising a model for their integration at service level.

Method

Following a narrative literature review and pilot interview, 20 semi-structured interviews were conducted with AI and mental health experts. Thematic analysis was then used to analyse and synthesise gathered data and construct an enhanced model.

Results

Predictive variables for length-of-stay and readmission rate are not consistent in the literature. There are, however, common themes in patient flow issues. An analysis identified several potential areas for AI-enhanced patient flow. Firstly, AI could improve patient flow by streamlining administrative tasks and optimising allocation of resources. Secondly, real-time data analytics systems could support clinician decision-making in triage, discharge, diagnosis and treatment stages. Finally, longer-term, development of solutions such as digital phenotyping could help transform mental health care to a more preventative, personalised model.

Conclusions

Recommendations were formulated for NHS trusts open to adopting AI patient flow enhancements. Although AI offers many promising use-cases, greater collaborative investment and infrastructure are needed to deliver clinically validated improvements. Concerns around data-use, regulation and transparency remain, and hospitals must continue to balance guidelines with stakeholder priorities. Further research is needed to connect existing case studies and develop a framework for their evaluation.