Benefits of electronic charts in intensive care and during a world health pandemic: advantages of the technology age.

AIMS AND OBJECTIVES: This study sets out to describe benefits from the implementation of electronic observation charting in intensive care units (ICU). This was an extension to the existing hospital wide digital health system. We evaluated error reduction, time-savings and the costs associated with conversion from paper to digital records. The world health emergency of COVID-19 placed extraordinary strain on ICU and staff opinion was evaluated to test how well the electronic system performed. METHODS: A clinically led project group working directly with programmers developed an electronic patient record for intensive care. Data error rates, time to add data and to make calculations were studied before and after the introduction of electronic charts. User feedback was sought pre and post go-live (during the COVID-19 pandemic) and financial implications were calculated by the hospital finance teams. RESULTS: Error rates equating to 219 000/year were avoided by conversion to electronic charts. Time saved was the equivalent of a nursing shift each day. Recurrent cost savings per year were estimated to be £257k. Staff were overwhelmingly positive about electronic charts in ICU, even during a health pandemic and despite redeployment into intensive care where they were using the electronic charts for the first time. DISCUSSION: Electronic ICU charts have been successfully introduced into our institution with benefits in terms of patient safety through error reduction and improved care through release of nursing time. Costs have been reduced. Staff feel supported by the digital system and report it to be helpful even during redeployment and in the unfamiliar environment of intensive care.

Coping with COVID: Preparing prescribers during the pandemic.

In response to the COVID-19 pandemic, Health Education England (HEE) and the University of Birmingham provided National Health Service (NHS) staff free access to SCRIPT, a national eLearning programme for safer prescribing and therapeutics. The eLearning was particularly for those returning to work or being redeployed. In the year March 2020-21, 3412 users registered to access portfolios and opened an aggregate of 17 198 modules. Each user completed a median of 2 (range 1-50, interquartile range [IQR] 1-7) assessed learning modules. Marks improved from pre-test to post-test by a median of 2 (IQR 0-3) marks out of 10. The most frequently selected modules were Adherence and Concordance (1109 users), Fluids (981 users) and Diabetic Emergencies (818 users). A total of 878 users accessed the unassessed COVID-19 module. The SCRIPT modules provided standardised education in core principles relating to prescribing and therapeutics, and were used by professionals from many healthcare disciplines.

Rapid adaptation of a local healthcare digital system to COVID-19: The experience in Birmingham (UK).

BACKGROUND: The COVID-19 pandemic created unprecedented pressure on hospitals globally. Digital tools developed before the crisis provided novel aspects of management, and new digital tools were rapidly developed as the crisis progressed. In our institution, a digitally mature NHS Trust in England which builds software systems, development during the early months of the crisis allowed increased patient safety and care, efficient management of the hospital and publication of data. The aim of this paper is to present this experience as a case study, describing development and lessons learned applicable to wider electronic healthcare record development. METHODS: Request, triage, build and test processes for the digital systems were altered in response to the pandemic. Senior Responsible Officers appointed for the emergency triaged all changes and were supported by expert opinion and research active clinicians. Build and test cycles were compressed. New tools were built or existing ones modified in the central Electronic Healthcare Record, PICS (Prescribing, Information and Communication System), Clinical Dashboards and video platforms for remote consultation were developed. FINDINGS: 2236 patients were admitted to UHB with suspected COVID-19 between March and May 2020. Dashboards and visualisation tools enabled by efficient real-time data collection for all new patients, contributed to strategic, operational and clinical decision making.Over 70 urgent changes were made to digital systems, including a screening proforma, improved infection control functions, help and order panels, data dashboards, and updated prescribing features. Novel uses were found for existing functions. INTERPRETATION: Digital tools contributed to a co-ordinated response to COVID-19 in an area with a high disease burden. Change management processes were modified during the pandemic and successfully delivered rapid software modifications and new tools. Principal benefits came from the ability to adapt systems to rapidly changing clinical situations. Lessons learned from this intense development period are widely applicable to EHR development. LAY SUMMARY: Digital tools, which are well designed, can help clinicians and safeguard patients. Health crises such as the COVID pandemic drove rapid development of digital tools. This case study outlines accelerated development within a governance framework that successfully reused existing tools and built new ones. The lessons from this development are generalizable to digital developments in healthcare.

Physiologic Response to the Pfizer-BioNTech COVID-19 Vaccine Measured Using Wearable Devices: Prospective Observational Study.

BACKGROUND: The Pfizer-BioNTech COVID-19 vaccine uses a novel messenger RNA technology to elicit a protective immune response. Short-term physiologic responses to the vaccine have not been studied using wearable devices. OBJECTIVE: We aim to characterize physiologic changes in response to COVID-19 vaccination in a small cohort of participants using a wearable device (WHOOP Strap 3.0). This is a proof of concept for using consumer-grade wearable devices to monitor response to COVID-19 vaccines. METHODS: In this prospective observational study, physiologic data from 19 internal medicine residents at a single institution that received both doses of the Pfizer-BioNTech COVID-19 vaccine was collected using the WHOOP Strap 3.0. The primary outcomes were percent change from baseline in heart rate variability (HRV), resting heart rate (RHR), and respiratory rate (RR). Secondary outcomes were percent change from baseline in total, rapid eye movement, and deep sleep. Exploratory outcomes included local and systemic reactogenicity following each dose and prophylactic analgesic use. RESULTS: In 19 individuals (mean age 28.8, SD 2.2 years; n=10, 53% female), HRV was decreased on day 1 following administration of the first vaccine dose (mean -13.44%, SD 13.62%) and second vaccine dose (mean -9.25%, SD 22.6%). RHR and RR showed no change from baseline after either vaccine dose. Sleep duration was increased up to 4 days post vaccination, after an initial decrease on day 1. Increased sleep duration prior to vaccination was associated with a greater change in HRV. Local and systemic reactogenicity was more severe after dose two. CONCLUSIONS: This is the first observational study of the physiologic response to any of the novel COVID-19 vaccines as measured using wearable devices. Using this relatively small healthy cohort, we provide evidence that HRV decreases in response to both vaccine doses, with no significant changes in RHR or RR. Sleep duration initially decreased following each dose with a subsequent increase thereafter. Future studies with a larger sample size and comparison to other inflammatory and immune biomarkers such as antibody response will be needed to determine the true utility of this type of continuous wearable monitoring in regards to vaccine responses. Our data raises the possibility that increased sleep prior to vaccination may impact physiologic responses and may be a modifiable way to increase vaccine response. These results may inform future studies using wearables for monitoring vaccine responses. TRIAL REGISTRATION: ClinicalTrials.gov NCT04304703; https://www.clinicaltrials.gov/ct2/show/NCT04304703.

Investigating the challenges and opportunities for medicines management in an NHS field hospital during the COVID-19 pandemic.

INTRODUCTION: Hospital admissions from COVID-19 initially increased rapidly within the UK. National Health Service (NHS) field hospitals are part of a capacity building response built at great scale and speed to respond to the anticipated increased demand the NHS faces during this time. NHS Nightingale Hospital Birmingham (NHB) is modelled to treat mild to moderate (non-critical care) COVID-19 disease, to provide step-down capacity for patients in recovery, or for palliating patients in the dying phase of their disease in the Midlands. Opportunities and challenges presented for optimal medicines management (MM) during the development of the NHB are investigated, and a framework developed to support future NHS field hospitals of this model. METHODS: A team, comprised of an associate medical director, trust chief pharmacist and senior pharmacists iteratively developed a framework to convert the large non-hospital setting into a functioning NHS field hospital with standardised MM processes adjusted appropriately to cope with operational constraints in the pandemic situation. NHB has, because of its repurposing, both challenges and advantages affecting MM that influence development of the framework. Throughout implementation, a 7-week period between announcement and opening, there was continuous evaluation, external stakeholder validation and peer review. RESULTS: The PESTLE model, a mechanism of analysis to identify elements of a project environment (Political, Environmental, Social, Technological, Legal and Economic), was applied to identify influencing factors and support detailed project planning. Compliance with medicines legislation was at the forefront of all MM process development for the NHB field hospital. Internal factors were identified by the core MM team, resulting in a workforce, education & training and clinical pharmacy MM plan. DISCUSSION: MM processes are extensive and integral to NHS field hospitals. The presented framework of influencing factors may support future NHS field hospital development. It is pertinent to have a broad team working approach to any large-scale project such as outlined here, and suggest the identified factors be used as a core framework for development of any future MM processes in NHS field hospitals.

COVID-19: to be or not to be; that is the diagnostic question.

Since the first cases in December 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has rapidly spread across the globe, resulting in the COVID-19 pandemic. Early clinical experiences have demonstrated the wide spectrum of SARS-CoV-2 presentations, including various reports of atypical presentations of COVID-19 and possible mimic conditions.This article summarises the current evidence surrounding atypical presentations of COVID-19 including neurological, cardiovascular, gastrointestinal, otorhinolaryngology and geriatric features. A case from our hospital of pneumocystis pneumonia initially suspected to be COVID-19 forms the basis for a discussion surrounding mimic conditions of COVID-19. The dual-process model of clinical reasoning is used to analyse the thought processes used to make a diagnosis of COVID-19, including consideration of the variety of differential diagnoses.While SARS-CoV-2 is likely to remain on the differential diagnostic list for a plethora of presentations for the foreseeable future, clinicians should be cautious of ignoring other potential diagnoses due to availability bias. An awareness of atypical presentations allows SARS-CoV-2 to be a differential so that it can be appropriately investigated. A knowledge of infectious mimics prevents COVID-19 from overshadowing other diagnoses, hence preventing delayed diagnosis or even misdiagnosis and consequent adverse outcomes for patients.