Grand Challenges at the Interface of Engineering and Medicine.

Over the past two decades Biomedical Engineering has emerged as a major discipline that bridges societal needs of human health care with the development of novel technologies. Every medical institution is now equipped at varying degrees of sophistication with the ability to monitor human health in both non-invasive and invasive modes. The multiple scales at which human physiology can be interrogated provide a profound perspective on health and disease. We are at the nexus of creating "avatars" (herein defined as an extension of "digital twins") of human patho/physiology to serve as paradigms for interrogation and potential intervention. Motivated by the emergence of these new capabilities, the IEEE Engineering in Medicine and Biology Society, the Departments of Biomedical Engineering at Johns Hopkins University and Bioengineering at University of California at San Diego sponsored an interdisciplinary workshop to define the grand challenges that face biomedical engineering and the mechanisms to address these challenges. The Workshop identified five grand challenges with cross-cutting themes and provided a roadmap for new technologies, identified new training needs, and defined the types of interdisciplinary teams needed for addressing these challenges. The themes presented in this paper include: 1) accumedicine through creation of avatars of cells, tissues, organs and whole human; 2) development of smart and responsive devices for human function augmentation; 3) exocortical technologies to understand brain function and treat neuropathologies; 4) the development of approaches to harness the human immune system for health and wellness; and 5) new strategies to engineer genomes and cells.

Teaching Through the Student Lens: Qualitative Exploration of Student Evaluations of Teaching.

OBJECTIVE: The purpose of this study is to use feedback from student evaluations of teaching (SETs) to define and describe themes associated with perceived teaching effectiveness. METHODS: We retrospectively analyzed SETs for instructors in required didactic courses from one academic year using qualitative content analysis. The analysis included student responses to the following questions: "Describe the strongest aspect of the instructor's teaching." and "What could the instructor do to improve his/her teaching effectiveness?" RESULTS: Five themes were developed from 4683 coded segments and are described with example quotations. These themes included clarity of instruction and learning activities, alignment of learning and assessment activities, examples that offer practice or demonstrate relevance, engaging learning environment, and concern for student learning and success. Aspects of each theme are described with example coded segments. CONCLUSION: These themes and supportive quotes offer a deeper understanding of the student perspective on similar ideas that are present throughout the teaching and learning literature and represent broad aspects of teaching, such as material design, in-class practices, and interpersonal characteristics. These themes can provide guidance for specific domains of faculty development in teaching.

General practice pharmacist-led antipsychotic physical health monitoring: a prospective intervention scoping study.

BACKGROUND: People with severe mental health illness die prematurely, often due to preventable cardiometabolic disease, which can be exacerbated by antipsychotic medicines that are effective for treating mental illness. Literature demonstrates that physical health monitoring, as recommended in guidelines, for people receiving antipsychotics is substandard. Therefore, we aimed to scope the potential of a general practice clinical pharmacist (GPCP)-led multidisciplinary intervention optimising adherence to cardiometabolic monitoring guidelines and delivering polypharmacy reviews. METHOD: Prospective intervention scoping study in three urban general practices; one usual care, two intervention. Patients 18-65 years old prescribed oral antipsychotics were identified from records, and invited for cardiometabolic monitoring and GPCP medication review, from January to December 2022. Interventions and onward referrals were recorded and collated. Anonymised pre- and post-review data were analysed, and actions were graded for clinical importance. RESULTS: In total 1.5% (210/14,159) of patients aged 18-65 years met inclusion criteria; usual care practice (n = 58); and intervention practices (n = 152). From baseline, the usual care practice achieved an absolute 7% increase in the cardiometabolic monitoring care bundle (glucose/glycosylated haemoglobin, lipids, blood pressure plus body mass index) versus 19-58% in the intervention practices. Two-thirds (92/152) of patients participated in medication reviews, requiring pharmacological and/or non-pharmacological clinical actions. The majority of actions were graded as moderate importance. Seven percentage of patients were identified as new pre-diabetic/diabetic and 6% were at high risk of cardiovascular disease requiring statin initiation. CONCLUSION: A pharmacist-led multidisciplinary general practice-based approach may be effective at optimising cardiometabolic monitoring; identifying and treating diabetic and cardiovascular risk factors.

People with severe mental illness die 15­20 years earlier than the general population, many due to preventable and/or treatable heart disease. While antipsychotic medicines are effective for treating mental illness they are associated with potential adverse effects; weight gain, increased blood pressure, blood sugar, and cholesterol. Therefore, guidelines advise regular physical health checks for people with severe mental illness, and those receiving antipsychotics, to reduce avoidable harms and optimise preventative treatments. However, routine monitoring is substandard. This study aimed to explore the potential of a general practice pharmacist-led intervention to optimise physical health monitoring and medication reviews, from January to December 2022. Three practices participated; one providing usual care, and two the pharmacist intervention. The usual care practice achieved a 7% increase in all monitoring parameters (weight, blood pressure, blood sugars plus cholesterol), whereas the pharmacist-led practices achieved a 19­58% increase in monitoring. Two in three patients (92/152) participated in a medication review with the pharmacists that addressed a range of mental and physical health issues. Of the 152 patients in the intervention practices 6% were identified as being at high risk of heart disease requiring preventative medicines, and 7% were identified as having new diabetes and/or pre-diabetes.

An Artificial Intelligence Enabled System for Retinal Nerve Fiber Layer Thickness Damage Severity Staging.

Purpose: To develop an objective glaucoma damage severity classification system based on OCT-derived retinal nerve fiber layer (RNFL) thickness measurements. Design: Algorithm development for RNFL damage severity classification based on multicenter OCT data. Subjects and Participants: A total of 6561 circumpapillary RNFL profiles from 2269 eyes of 1171 subjects to develop models, and 2505 RNFL profiles from 1099 eyes of 900 subjects to validate models. Methods: We developed an unsupervised k-means model to identify clusters of eyes with similar RNFL thickness profiles. We annotated the clusters based on their respective global RNFL thickness. We computed the optimal global RNFL thickness thresholds that discriminated different severity levels based on Bayes' minimum error principle. We validated the proposed pipeline based on an independent validation dataset with 2505 RNFL profiles from 1099 eyes of 900 subjects. Main Outcome Measures: Accuracy, area under the receiver operating characteristic curve, and confusion matrix. Results: The k-means clustering discovered 4 clusters with 1382, 1613, 1727, and 1839 samples with mean (standard deviation) global RNFL thickness of 58.3 (8.9) µm, 78.9 (6.7) µm, 87.7 (8.2) µm, and 101.5 (7.9) µm. The Bayes' minimum error classifier identified optimal global RNFL values of > 95 µm, 86 to 95 µm, 70 to 85 µm, and < 70 µm for discriminating normal eyes and eyes at the early, moderate, and advanced stages of RNFL thickness loss, respectively. About 4% of normal eyes and 98% of eyes with advanced RNFL loss had either global, or ≥ 1 quadrant, RNFL thickness outside of normal limits provided by the OCT instrument. Conclusions: Unsupervised machine learning discovered that the optimal RNFL thresholds for separating normal eyes and eyes with early, moderate, and advanced RNFL loss were 95 µm, 85 µm, and 70 µm, respectively. This RNFL loss classification system is unbiased as there was no preassumption or human expert intervention in the development process. Additionally, it is objective, easy to use, and consistent, which may augment glaucoma research and day-to-day clinical practice. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

GluD1 binds GABA and controls inhibitory plasticity.

Fast synaptic neurotransmission in the vertebrate central nervous system relies primarily on ionotropic glutamate receptors (iGluRs), which drive neuronal excitation, and type A γ-aminobutyric acid receptors (GABAARs), which are responsible for neuronal inhibition. However, the GluD1 receptor, an iGluR family member, is present at both excitatory and inhibitory synapses. Whether and how GluD1 activation may affect inhibitory neurotransmission is unknown. In this work, by using a combination of biochemical, structural, and functional analyses, we demonstrate that GluD1 binds GABA, a previously unknown feature of iGluRs. GluD1 activation produces long-lasting enhancement of GABAergic synaptic currents in the adult mouse hippocampus through a non-ionotropic mechanism that is dependent on trans-synaptic anchoring. The identification of GluD1 as a GABA receptor that controls inhibitory synaptic plasticity challenges the classical dichotomy between glutamatergic and GABAergic receptors.

Early Season Monitoring of Tarnished Plant Bug, Lygus lineolaris, in Wild Hosts Using Pheromone Traps.

The tarnished plant bug, Lygus lineolaris (Hemiptera: Miridae), has a wide host range of over 700 plant species, including 130 crops of economic importance. During early spring, managing the field edges with weeds and other wild hosts is important in preventing early-season infestations of L. lineolaris in cotton to prevent damage to the squares and other fruiting structures. Scouting fields for L. lineolaris is time- and labor-intensive, and end-user variability associated with field sampling can lead to inaccuracies. Insect traps that combine visual cues and pheromones are more accurate, sustainable, and economically feasible in contrast to traditional insect detection methods. In this study, we investigated the application of red or white sticky cards baited with the female-produced sex pheromone to monitor overwintering L. lineolaris populations in early spring. Field experiments demonstrated that the red sticky cards baited with a pheromone blend containing hexyl butyrate, (E)-2-hexenyl butyrate, and (E)-4-oxo-2-hexenal in 4:10:7 ratio are highly effective in trapping L. lineolaris adults in early spring before the row crops are planted, and in monitoring their movement into a cotton crop. The monitoring of L. lineolaris should help growers to make judicious decisions on insecticide applications to control early pest infestations, thereby reducing economic damage to cotton.

The Origins of Computer Graphics in Europe: Part 2-The Early Spreading of Computer Graphics in Europe.

"The Origins of Computer Graphics in Europe," is being published in two parts: Part 1, published in the March/April issue of IEEE Computer Graphics and Applications (IEEE CG&A), is subtitled "The Beginnings in Germany"; Part 2, published in this May/June 2023 issue, is subtitled "The Early Spreading of Computer Graphics in Europe." I was a participant, contributor, and witness to the events reported here and I relate my personal story along with the broader history. Part 1 describes the origins and successful evolution of computer graphics in Germany, starting in 1965, and includes details of the people and subject matter of the earliest research groups. It describes the efforts undertaken to establish computer graphics as a proper academic discipline, including the founding of EUROGRAPHICS, and creation of institutes for both basic and applied research in computer graphics. Part 2 continues the story with a focus on activities contributing to the growth of the academic and industrial computer graphics communities across Europe and documents the two IFIP workshops held at Seillac and the development of the GKS Graphics Standard. Over the years, computer graphics gained respect and importance as a component of the computer science curricula and became an important tool and enabling technology for applications for industry and for the IT market in Europe.

Identifying factors associated with fast visual field progression in patients with ocular hypertension based on unsupervised machine learning.

Purpose: To identify ocular hypertension (OHT) subtypes with different trends of visual field (VF) progression based on unsupervised machine learning and to discover factors associated with fast VF progression. Design: Cross-sectional and longitudinal study. Participants: A total of 3133 eyes of 1568 ocular hypertension treatment study (OHTS) participants with at least five follow-up VF tests were included in the study. Methods: We used a latent class mixed model (LCMM) to identify OHT subtypes using standard automated perimetry (SAP) mean deviation (MD) trajectories. We characterized the subtypes based on demographic, clinical, ocular, and VF factors at the baseline. We then identified factors driving fast VF progression using generalized estimating equation (GEE) and justified findings qualitatively and quantitatively. Main Outcome Measure: Rates of SAP mean deviation (MD) change. Results: The LCMM model discovered four clusters (subtypes) of eyes with different trajectories of MD worsening. The number of eyes in clusters were 794 (25%), 1675 (54%), 531 (17%) and 133 (4%). We labeled the clusters as Improvers, Stables, Slow progressors, and Fast progressors based on their mean of MD decline, which were 0.08, -0.06, -0.21, and -0.45 dB/year, respectively. Eyes with fast VF progression had higher baseline age, intraocular pressure (IOP), pattern standard deviation (PSD) and refractive error (RE), but lower central corneal thickness (CCT). Fast progression was associated with calcium channel blockers, being male, heart disease history, diabetes history, African American race, stroke history, and migraine headaches. Conclusion: Unsupervised clustering can objectively identify OHT subtypes including those with fast VF worsening without human expert intervention. Fast VF progression was associated with higher history of stroke, heart disease, diabetes, and history of more using calcium channel blockers. Fast progressors were more from African American race and males and had higher incidence of glaucoma conversion. Subtyping can provide guidance for adjusting treatment plans to slow vision loss and improve quality of life of patients with a faster progression course.

Rapid evaluation of service innovations in health and social care: key considerations.

Funding: This project was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (RSET: 16/138/17; BRACE: 16/138/31).

A rapid mixed-methods evaluation of remote home monitoring models during the COVID-19 pandemic in England.

Background: Remote home monitoring services were developed and implemented for patients with COVID-19 during the pandemic. Patients monitored blood oxygen saturation and other readings (e.g. temperature) at home and were escalated as necessary. Objective: To evaluate effectiveness, costs, implementation, and staff and patient experiences (including disparities and mode) of COVID-19 remote home monitoring services in England during the COVID-19 pandemic (waves 1 and 2). Methods: A rapid mixed-methods evaluation, conducted in two phases. Phase 1 (July-August 2020) comprised a rapid systematic review, implementation and economic analysis study (in eight sites). Phase 2 (January-June 2021) comprised a large-scale, multisite, mixed-methods study of effectiveness, costs, implementation and patient/staff experience, using national data sets, surveys (28 sites) and interviews (17 sites). Results: Phase 1 Findings from the review and empirical study indicated that these services have been implemented worldwide and vary substantially. Empirical findings highlighted that communication, appropriate information and multiple modes of monitoring facilitated implementation; barriers included unclear referral processes, workforce availability and lack of administrative support. Phase 2 We received surveys from 292 staff (39% response rate) and 1069 patients/carers (18% response rate). We conducted interviews with 58 staff, 62 patients/carers and 5 national leads. Despite national roll-out, enrolment to services was lower than expected (average enrolment across 37 clinical commissioning groups judged to have completed data was 8.7%). There was large variability in implementation of services, influenced by patient (e.g. local population needs), workforce (e.g. workload), organisational (e.g. collaboration) and resource (e.g. software) factors. We found that for every 10% increase in enrolment to the programme, mortality was reduced by 2% (95% confidence interval: 4% reduction to 1% increase), admissions increased by 3% (-1% to 7%), in-hospital mortality fell by 3% (-8% to 3%) and lengths of stay increased by 1.8% (-1.2% to 4.9%). None of these results are statistically significant. We found slightly longer hospital lengths of stay associated with virtual ward services (adjusted incidence rate ratio 1.05, 95% confidence interval 1.01 to 1.09), and no statistically significant impact on subsequent COVID-19 readmissions (adjusted odds ratio 0.95, 95% confidence interval 0.89 to 1.02). Low patient enrolment rates and incomplete data may have affected chances of detecting possible impact. The mean running cost per patient varied for different types of service and mode; and was driven by the number and grade of staff. Staff, patients and carers generally reported positive experiences of services. Services were easy to deliver but staff needed additional training. Staff knowledge/confidence, NHS resources/workload, dynamics between multidisciplinary team members and patients' engagement with the service (e.g. using the oximeter to record and submit readings) influenced delivery. Patients and carers felt services and human contact received reassured them and were easy to engage with. Engagement was conditional on patient, support, resource and service factors. Many sites designed services to suit the needs of their local population. Despite adaptations, disparities were reported across some patient groups. For example, older adults and patients from ethnic minorities reported more difficulties engaging with the service. Tech-enabled models helped to manage large patient groups but did not completely replace phone calls. Limitations: Limitations included data completeness, inability to link data on service use to outcomes at a patient level, low survey response rates and under-representation of some patient groups. Future work: Further research should consider the long-term impact and cost-effectiveness of these services and the appropriateness of different models for different groups of patients. Conclusions: We were not able to find quantitative evidence that COVID-19 remote home monitoring services have been effective. However, low enrolment rates, incomplete data and varied implementation reduced our chances of detecting any impact that may have existed. While services were viewed positively by staff and patients, barriers to implementation, delivery and engagement should be considered. Study registration: This study is registered with the ISRCTN (14962466). Funding: This project was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (RSET: 16/138/17; BRACE: 16/138/31) and NHSEI and will be published in full in Health and Social Care Delivery Research; Vol. 11, No. 13. See the NIHR Journals Library website for further project information. The views expressed in this publication are those of the authors and not necessarily those of the National Institute for Health and Care Research or the Department of Health and Social Care.

COVID-19 patients can experience very low oxygen levels, without feeling breathless. Patients may not realise there is a problem until they become extremely unwell, risking being admitted to hospital too late. To address this, COVID-19 remote home monitoring services were developed and later rolled out across England. Patients monitored oxygen levels at home using an 'oximeter' (a small device which clips on to your finger) and sent these readings to providers via phone or technology (e.g. an app). Patients could access further care if needed. We did not know whether these services worked, or what people felt about them. • How services were set up and used in England. • Whether services work (e.g. by reducing deaths and length of hospital stay). • How much they cost. • What patients, carers and staff think about these services (including differences between groups and telephone vs. technology). We looked at available existing evidence and collected data from eight services operating in the first wave of the pandemic. During the second wave of the pandemic, we used data available at a national level and conducted surveys (28 sites) and interviews (17 sites) with staff, patients and individuals involved in developing/leading services nationally. These services have been used worldwide, but they vary considerably. We found many things that help these services to be used (e.g. good communication) but also things that get in the way (e.g. unclear referrals). Our findings did not show that services reduce deaths or time in hospital. But these findings are limited by a lack of data. Staff and patients liked these services, but we found some barriers to delivering and using the service. Some groups found services harder to use (e.g. older patients, those with disabilities and ethnic minorities). Using technology helped with large patient groups, but it did not completely replace phone calls. Better information is needed to know whether these services work. Staff and patients liked these services. However, improvements may make them easier to deliver and use (e.g. further staff training and giving additional support to patients who need it).

Patient and staff experiences of using technology-enabled and analogue models of remote home monitoring for COVID-19 in England: A mixed-method evaluation.

OBJECTIVE: To evaluate patient and staff experiences of using technology-enabled ('tech-enabled') and analogue remote home monitoring models for COVID-19, implemented in England during the pandemic. METHODS: Twenty-eight sites were selected for diversity in a range of criteria (e.g. pre-hospital or early discharge service, mode of patient data submission). Between February and May 2021, we conducted quantitative surveys with patients, carers and staff delivering the service, and interviewed patients, carers, and staff from 17 of the 28 services. Quantitative data were analysed using descriptive statistics and both univariate and multivariate analyses. Qualitative data were interpreted using thematic analysis. RESULTS: Twenty-one sites adopted mixed models whereby patients could submit their symptoms using either tech-enabled (app, weblink, or automated phone calls) or analogue (phone calls with a health professional) options; seven sites offered analogue-only data submission (phone calls or face-to-face visits with a health professional). Sixty-two patients and carers were interviewed, and 1069 survey responses were received (18 % response rate). Fifty-eight staff were interviewed, and 292 survey responses were received (39 % response rate). Patients who used tech-enabled modes tended to be younger (p = 0.005), have a higher level of education (p = 0.011), and more likely to identify as White British (p = 0.043). Most patients found relaying symptoms easy, regardless of modality, though many received assistance from family or friends. Staff considered the adoption of mixed delivery models beneficial, enabling them to manage large patient numbers and contact patients for further assessment as needed; however, they suggested improvements to the functionality of systems to better fit clinical and operational needs. Human contact was important in all remote home monitoring options. CONCLUSIONS: Organisations implementing tech-enabled remote home monitoring at scale should consider adopting mixed models which can accommodate patients with different needs; focus on the usability and interoperability of tech-enabled platforms; and encourage digital inclusivity for patients.

Youth violence intervention programme for vulnerable young people attending emergency departments in London: a rapid evaluation.

Background: Youth violence intervention programmes involving the embedding of youth workers in NHS emergency departments to help young people (broadly aged between 11 and 24 years) improve the quality of their lives following their attendance at an emergency department as a result of violent assault or associated trauma are increasing across the NHS. This study evaluates one such initiative run by the charity Redthread in partnership with a NHS trust. Objectives: To evaluate the implementation and impact of a new youth violence intervention programme at University College London Hospital NHS Trust and delivered by the charity Redthread: (1) literature review of studies of hospital-based violent crime interventions; (2) evaluation of local implementation and of University College London Hospital staff and relevant local stakeholders concerning the intervention and its impact; (3) assessment of the feasibility of using routine secondary care data to evaluate the impact of the Redthread intervention; and (4) cost-effectiveness analysis of the Redthread intervention from the perspective of the NHS. Methods: The evaluation was designed as a mixed-methods multiphased study, including an in-depth process evaluation case study and quantitative and economic analyses. The project was undertaken in different stages over two years, starting with desk-based research and an exploratory phase suitable for remote working while COVID-19 was affecting NHS services. A total of 22 semistructured interviews were conducted with staff at Redthread and University College London Hospital and others (e.g. a senior stakeholder involved in NHS youth violence prevention policy). We analysed Redthread documents, engaged with experts and conducted observations of staff meetings to gather more in-depth insights about the effectiveness of the intervention, the processes of implementation, staff perceptions and cost. We also undertook quantitative analyses to ascertain suitable measures of impact to inform stakeholders and future evaluations. Results: Redthread's service was viewed as a necessary intervention, which complemented clinical and other statutory services. It was well embedded in the paediatric emergency department and adolescent services but less so in the adult emergency department. The diverse reasons for individual referrals, the various routes by which young people were identified, and the mix of specific support interventions provided, together emphasised the complexity of this intervention, with consequent challenges in implementation and evaluation. Given the relative unit costs of Redthread and University College London Hospital's inpatient services, it is estimated that the service would break even if around one-third of Redthread interventions resulted in at least one avoided emergency inpatient admission. This evaluation was unable to determine a feasible approach to measuring the quantitative impact of Redthread's youth violence intervention programme but has reflected on data describing the service, including costs, and make recommendations to support future evaluation. Limitations: The COVID-19 pandemic severely hampered the implementation of the Redthread service and the ability to evaluate it. The strongest options for analysis of effects and costs were not possible due to constraints of the consent process, problems in linking Redthread and University College London Hospital patient data and the relatively small numbers of young people having been engaged for longer-term support over the evaluation period. Conclusions: We have been able to contribute to the qualitative evidence on the implementation of the youth violence intervention programme at University College London Hospital, showing, for example, that NHS staff viewed the service as an important and needed intervention. In the light of problems with routine patient data systems and linkages, we have also been able to reflect on data describing the service, including costs, and made recommendations to support future evaluation. Future work: No future work is planned. Funding: National Institute for Health and Care Research Health Services and Delivery Research programme (RSET: 16/138/17).

Youth violence intervention programmes in the NHS embed specialist youth workers into a hospital's paediatric emergency departments. These staff can engage young people and encourage positive change in their lives. Youth violence intervention programmes are part of a broader national strategy to prevent violence among young people. To improve our knowledge of the impact on young people and the cost-effectiveness of youth violence intervention programmes, we carried out an evaluation of a youth violence intervention programme introduced in 2020 at University College London Hospital and run by the charity Redthread. We reviewed the international evidence on youth violence intervention programmes, and other studies of Redthread services but found few studies measuring impact within the NHS. We reviewed documents and conducted 22 interviews with University College London Hospital and Redthread staff among others. We found that the service is viewed positively by NHS staff. We also found that youth workers can help a young person to better engage in their medical care and treatment. Youth violence intervention programmes also provide a link with non­health-care services within the community. Overall, they help NHS staff to better support vulnerable young people following discharge from hospital. We also established the cost of delivering Redthread services per user was £1865. This compares with a cost per inpatient of £5789 for a group of patients similar to those helped by Redthread. The average cost of a Redthread-type patient attending the emergency department was £203. We looked at whether it was possible to measure whether Redthread reduced young people's re-admissions to the hospital's emergency departments. However, we concluded that fully answering this question was not possible over the timescale of the project. This was because of the impact of COVID-19 on Redthread and other paediatric services, the low numbers of young people engaged in a longer-term programme with Redthread (59) and difficulties with linking information from the hospital and Redthread. We have therefore made various recommendations in this report to improve the way that data are collected and linked to aid future evaluations.

Flow rate accuracy of infusion devices within healthcare settings: a systematic review.

Background: One in five patients admitted to the hospital treated with intravenous (IV) fluid therapy suffer complications due to inappropriate administration. Errors have been reported in 13-84% of the preparation and administration of IV medications. The safe delivery of IV fluids requires precise rate administration. Objectives: This systematic review aims to determine the accuracy of infusion sets and devices and examine the factors that affect the flow rate accuracy of devices. Data Sources and Methods: Six databases (CINAHL, MEDLINE PubMed, EMBASE, Web of Science and Cochrane Database of systematic reviews) were systematically searched. Search terms included infusion pumps, infusion devices, flow rate accuracy, fluid administration rate, gravity-led infusion set and fluid balance. Studies were included if they examined infusion devices' flow rate accuracy and drop rates for fluids or non-oncological drugs. Findings were tabulated and synthesised qualitatively. The quality of the studies was examined based on the design of the studies due to their heterogeneity. Results: Eight studies were included: Four studies were conducted on human subjects in the hospital environment; studies recruited 182 participants between the ages of 18 and 94 years. Two studies examined flow rate accuracy in recruited patients across 509 observations and 2387 drip hours. No trials prospectively assessed the accuracy of infusion pumps in the clinical domain, and no studies were reported on patient safety outcomes. Four studies examined the impact of mechanical and physiological factors on the flow rate accuracies of infusion devices. Height and back pressure simulated vibrating conditions, the viscosity of IV fluid and the positions of patients were reported to have a significant impact on infusion volume and flow rates of infusion devices. Additionally, giving sets that vary from the manufacturer's specifications are reported to increase error percent by 10-20%. Conclusion: Infusion devices are an important source of error in administering IV fluids. Yet, there needs to be more prospective trial data to support their clinical accuracy and the impact on patient outcomes. Future flow variability and accuracy studies should capture their impact on patient safety and clinical outcomes.

Are the flow rate of infusion devices accurate in fluid administration? Background/Why was this study done? Nearly all patients in healthcare settings undergo treatment with fluid therapy that is administered through a vein. Inaccurate intravenous fluid administration causes patient harm. However, very little information in the literature explains how precisely intravenous fluid is administered. What did the researchers do? We reviewed the literature on flow rate accuracies of specific infusion devices and examined the factors that affect the flow rate accuracies of intravenous fluid administered to patients. What did the researchers find? We found that the flow rate accuracies of infusion devices vary greatly, and they are often affected by physiological and mechanical factors. However, the precise impact of this on patients' clinical outcomes is not often reported, representing a significant knowledge gap. What do the findings mean? We conclude that there is an urgent need to improve the reporting and precision of intravenous fluid rate administration and to understand how this impacts patient safety and clinical outcomes.

Quantifying and Visualizing Uncertainty for Source Localization in Electrocardiographic Imaging.

Electrocardiographic imaging (ECGI) presents a clinical opportunity to noninvasively understand the sources of arrhythmias for individual patients. To help increase the effectiveness of ECGI, we provide new ways to visualize associated measurement and modeling errors. In this paper, we study source localization uncertainty in two steps: First, we perform Monte Carlo simulations of a simple inverse ECGI source localization model with error sampling to understand the variations in ECGI solutions. Second, we present multiple visualization techniques, including confidence maps, level-sets, and topology-based visualizations, to better understand uncertainty in source localization. Our approach offers a new way to study uncertainty in the ECGI pipeline.

Strengthen Academic Pharmacy by Protecting Self-Expression.

Pharmacy, including academic pharmacy, is affected by several important issues. Additionally, we deal with these issues in a society that is increasingly polarized in beliefs and siloed in interactions. Within this important juncture, pharmacy faculty may be prone to employ restrictions on freedom of expression, particularly around viewpoints they do not endorse. This tendency will likely have unintended effects and inhibit the ability of the profession to find solutions to its current challenges. We implore the Academy to actively work to increase viewpoint diversity, open inquiry, and academic freedom.

Breast and colorectal cancer recurrence-free survival estimates in the US: Modeling versus active data collection.

BACKGROUND: A modeling method was developed to estimate recurrence-free survival using cancer registry survival data. This study aims to validate the modeled recurrence-free survival against "gold-standard" estimates from data collected by the National Program of Cancer Registries (NPCR) Patient-Centered Outcomes Research (PCOR) project. METHODS: We compared 5-year metastatic recurrence-free survival using modeling and empirical estimates from the PCOR project that collected disease-free status, tumor progression and recurrence for colorectal and female breast cancer cases diagnosed in 2011 in 5 U.S. state registries. To estimate empirical recurrence-free survival, we developed an algorithm that combined disease-free, recurrence, progression, and date information from NPCR-PCOR data. We applied the modeling method to relative survival for patients diagnosed with female breast and colorectal cancer in 2000-2015 in the SEER-18 areas. RESULTS: When grouping patients with stages I-III, the 5-year metastatic recurrence-free modeled and NPCR-PCOR estimates are very similar being respectively, 90.2 % and 88.6 % for female breast cancer, 74.6 % and 75.3 % for colon cancer, and 68.8 % and 68.5 % for rectum cancer. In general, the 5-year recurrence-free NPCR-PCOR and modeled estimates are still similar when controlling by stage. The modeled estimates, however, are not as accurate for recurrence-free survival in years 1-3 from diagnosis. CONCLUSIONS: The alignment between NPCR-PCOR and modeled estimates supports their validity and provides robust population-based estimates of 5-year metastatic recurrence-free survival for female breast, colon, and rectum cancers. The modeling approach can in principle be extended to other cancer sites to provide provisional population-based estimates of 5-year recurrence free survival.

The Origins of Computer Graphics in Europe: Part 1-The Beginnings in Germany.

"The Origins of Computer Graphics in Europe," is being published in two parts: Part 1, in this issue of IEEE Computer Graphics and Applications, is subtitled "The Beginnings in Germany"; Part 2, to be published in the May/June issue, is subtitled "The Spreading of Computer Graphics in Europe." I was a participant, contributor, and witness to the events reported here and I relate my personal story along with the broader history. Part 1 describes the origins and successful evolution of computer graphics in Germany, starting in 1965, and includes details of the people and subject matter of the earliest research groups. It describes the efforts undertaken to establish computer graphics as a proper academic discipline, including the founding of EUROGRAPHICS, and creation of institutes for both basic and applied research in computer graphics. Part 2 continues the story with a focus on activities contributing to the growth of the academic and industrial computer graphics communities across Europe and documents the two IFIP workshops at Seillac and the development of the GKS Graphics Standard. Over these years, computer graphics gained respect and importance as a component of the computer science curricula and became an important tool and enabling technology for applications for industry and for the IT market in Europe.

From Holocaust Hidden Child to Computer Animation Laboratory.

The article describes my long journey as a Jewish-born hidden child who was handed over to a Catholic family before the Krakow ghetto was eliminated in 1943. My father survived and I was reunited with him. We traveled to Germany in 1950 and were accepted as Canadian refugees in 1952. After an undergraduate and graduate program at McGill University, I was married in an Episcopalian/Anglican ceremony. My good fortune continued when I joined a research group at the National Research Council in the 1960s. The group worked on computer graphics and computer animation and won a Technical Academy Award for technology for the animated short Hunger/La Faim.

Predicting Visual Field Worsening with Longitudinal OCT Data Using a Gated Transformer Network.

PURPOSE: To identify visual field (VF) worsening from longitudinal OCT data using a gated transformer network (GTN) and to examine how GTN performance varies for different definitions of VF worsening and different stages of glaucoma severity at baseline. DESIGN: Retrospective longitudinal cohort study. PARTICIPANTS: A total of 4211 eyes (2666 patients) followed up at the Johns Hopkins Wilmer Eye Institute with at least 5 reliable VF results and 1 reliable OCT scan within 1 year of each reliable VF test. METHODS: For each eye, we used 3 trend-based methods (mean deviation [MD] slope, VF index slope, and pointwise linear regression) and 3 event-based methods (Guided Progression Analysis, Collaborative Initial Glaucoma Treatment Study scoring system, and Advanced Glaucoma Intervention Study [AGIS] scoring system) to define VF worsening. Additionally, we developed a "majority of 6" algorithm (M6) that classifies an eye as worsening if 4 or more of the 6 aforementioned methods classified the eye as worsening. Using these 7 reference standards for VF worsening, we trained 7 GTNs that accept a series of at least 5 as input OCT scans and provide as output a probability of VF worsening. Gated transformer network performance was compared with non-deep learning models with the same serial OCT input from previous studies-linear mixed-effects models (MEMs) and naive Bayes classifiers (NBCs)-using the same training sets and reference standards as for the GTN. MAIN OUTCOME MEASURES: Area under the receiver operating characteristic curve (AUC). RESULTS: The M6 labeled 63 eyes (1.50%) as worsening. The GTN achieved an AUC of 0.97 (95% confidence interval, 0.88-1.00) when trained with M6. Gated transformer networks trained and optimized with the other 6 reference standards showed an AUC ranging from 0.78 (MD slope) to 0.89 (AGIS). The 7 GTNs outperformed all 7 MEMs and all 7 NBCs accordingly. Gated transformer network performance was worse for eyes with more severe glaucoma at baseline. CONCLUSIONS: Gated transformer network models trained with OCT data may be used to identify VF worsening. After further validation, implementing such models in clinical practice may allow us to track functional worsening of glaucoma with less onerous structural testing. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found after the references.