Integration of electronic project management software in an investigational drug service pharmacy within an academic medical center.

DISCLAIMER: In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. PURPOSE: An investigational drug services (IDS) pharmacy plays a vital role in supporting clinical trial research by ensuring the safe and efficient management of investigational products. This article describes the implementation of an electronic project management software to improve an IDS pharmacy's study protocol work. The article describes the implementation of the software and how this approach addressed specific challenges, including project oversight, process standardization, documentation, reporting, accountability, and intrateam communication. SUMMARY: We describe an electronic project management software system used to streamline and standardize the work associated with study protocols. This software provides an organized and customizable workspace to manage tasks associated with each study protocol. The software automates task creation, tracks progress, and ensures comprehensive record keeping. Additionally, the software fosters effective communication within the team and offers real-time reporting to assess team productivity and progress. We have observed improved consistency, enhanced revenue, including approximately $18,000 in additional fee capture, and increased collaboration among pharmacy team members. CONCLUSION: Implementing an electronic project management software has proven highly beneficial in the IDS pharmacy. The software has significantly improved workflow efficiency by addressing challenges in study protocol management. While initial setup and training required time and resources, the long-term benefits in project oversight, collaboration, and revenue capture justify the investment. An electronic project management software is a valuable tool in managing the complexity of study protocol activities and supports the pharmacy's crucial role in advancing clinical research.

A method for managing scientific research project resource conflicts and predicting risks using BP neural networks.

This study begins by considering the resource-sharing characteristics of scientific research projects to address the issues of resource misalignment and conflict in scientific research project management. It comprehensively evaluates the tangible and intangible resources required during project execution and establishes a resource conflict risk index system. Subsequently, a resource conflict risk management model for scientific research projects is developed using Back Propagation (BP) neural networks. This model incorporates the Dropout regularization technique to enhance the generalization capacity of the BP neural network. Leveraging the BP neural network's non-linear fitting capabilities, it captures the intricate relationship between project resource demand and supply. Additionally, the model employs self-learning to continuously adapt to new scenarios based on historical data, enabling more precise resource conflict risk assessments. Finally, the model's performance is analyzed. The results reveal that risks in scientific research project management primarily fall into six categories: material, equipment, personnel, financial, time, and organizational factors. This study's model algorithm exhibits the highest accuracy in predicting time-related risks, achieving 97.21%, surpassing convolutional neural network algorithms. Furthermore, the Root Mean Squared Error of the model algorithm remains stable at approximately 0.03, regardless of the number of hidden layer neurons, demonstrating excellent fitting capabilities. The developed BP neural network risk prediction framework in this study, while not directly influencing resource utilization efficiency or mitigating resource conflicts, aims to offer robust data support for research project managers when making decisions on resource allocation. The framework provides valuable insights through sensitivity analysis of organizational risks and other factors, with their relative importance reaching up to 20%. Further research should focus on defining specific strategies for various risk factors to effectively enhance resource utilization efficiency and manage resource conflicts.

Expert-Type Content Validity Applications to Doctor of Nursing Practice Projects.

Background: Developing rigorous doctor of nursing practice (DNP) projects continues to challenge faculty and doctoral students. To address project rigor, expert content validity methods have been applied to clinical projects. Students implement expert content validity processes to literature-based project components. Objectives: The objectives of this study are to describe some of the developmental phases of DNP projects during the courses of one DNP program and to explore one strategy for increasing the rigor of DNP projects, review details on expert-type content validity methods, and examine literature for projects implementing an alternate application of expert-type content validity and scoring approaches to components of DNP projects. Methods: Expert content validity methods are described for DNP projects, such as guidelines, teaching plans, support groups, and algorithms. They are used to judge components generated from initial content analysis strategies. Types of expert panelists and descriptions of scoring ranks on project components are presented to represent different expert content validity strategies. Results The steps are presented to support expert content validity processes. Conclusions: DNP projects challenge faculty and students to create systematically constructed quality improvement projects on important and interesting clinical problems. The expert context validity process is one approach of enhancing project rigor. Implications for Nursing: An outline offers steps to establish expert content validity for translational DNP projects.

Material Characterisation of William Burges' Great Bookcase within the Disruption of a Global Pandemic.

This contribution presents the results of a technical investigation on the pigments of William Burges' Great Bookcase (1859-62), preserved at the Ashmolean Museum. It is the first thorough material investigation of a remarkable piece of Gothic Revival painted furniture, notably an artwork by Burges, whose work has so far received little attention from a technical point of view. This study was developed during the Covid-19 pandemic, which significantly affected the planned research activities since the investigation relied extensively on collaborations with institutions within and beyond the University of Oxford. The disruption caused by the lockdown and other restrictions went far beyond any prediction and led us to redefine the project's outcome and methodology 'on the fly' while maintaining its overall vision. However, thanks to the timeliness of a substantial research grant received from the Capability for Collection Fund (CapCo, Art and Humanities Research Council), we could ultimately turn this research into a unique opportunity to test the potential of recently acquired instruments, namely the Opus Apollo infrared camera and the Bruker CRONO XRF mapping spectrometer. Therefore, besides reporting on the findings, this contribution outlines the strategy adopted and assesses the new equipment's capability for the non-invasive analysis of complex polychromies.

Data exploration on the factors associated with cost overrun on social housing projects in Trinidad and Tobago.

This data article explores the factors that contribute to cost overrun on public sector projects within Trinidad and Tobago. The data was obtained through literature research, and structured questionnaires, designed using open-ended questions and the Likert scale. The responses were gathered from project actors and decision-makers within the public and private construction industry, mainly, project managers, contractors, engineers, architects, and consultants. The dataset was analysed using frequency, simple percentage, mean, risk impact, and fuzzy logic via the fuzzy synthetic evaluation method (FSE). The significance of the analysed data is to determine the critical root causes of cost overrun which affect public sector infrastructure development projects (PSIDPs), from being completed on time and within budget. The dataset is most useful to project and construction management professionals and academia, to provide additional insight into the understanding of the leading factors associated with cost overrun and the critical group in which they occur (political factors). Such understanding can encourage greater decisions under uncertainty and complexity, thus accounting for and reducing cost overrun on public sector projects.

Organizations and stakeholders' roles and influence on implementing sustainability requirements in construction projects.

Construction projects significantly affect a country's development, consume many resources, and impact many stakeholders. Project sustainability requirements are essential to overcome the current social and environmental challenges, yet entrepreneurs, decision-makers, and technical professionals still ignore them. This research aims to reveal the leading players that can influence implementing sustainability requirements in construction project development, the barriers, and possible solutions. The results show that organizational strategies, maturity level in sustainability, and the ability to change corporate values and beliefs play a significant role in this pivotal movement. At the same time, a set of external stakeholders, such as investors, banks, communities, suppliers, regulatory agencies, and insurance companies, may push a specific behavior to the market and influence change. On top of this, organizations shall build their strategy toward sustainability and implement sustainable project management. This study employs the Complex Holographic Assessment of Paradoxical Problems (CHAP2) to investigate the current situation in Brazil related to the integration of construction project development and sustainability requirements.

Value of Electronic Health Records Measured Using Financial and Clinical Outcomes: Quantitative Study.

BACKGROUND: The Health Information Technology for Economic and Clinical Health Act of 2009 was legislated to reduce health care costs, improve quality, and increase patient safety. Providers and organizations were incentivized to exhibit meaningful use of certified electronic health record (EHR) systems in order to achieve this objective. EHR adoption is an expensive investment, given the resources and capital that are invested. Due to the cost of the investment, a return on the EHR adoption investment is expected. OBJECTIVE: This study performed a value analysis of EHRs. The objective of this study was to investigate the relationship between EHR adoption levels and financial and clinical outcomes by combining both financial and clinical outcomes into one conceptual model. METHODS: We examined the multivariate relationships between different levels of EHR adoption and financial and clinical outcomes, along with the time variant control variables, using moderation analysis with a longitudinal fixed effects model. Since it is unknown as to when hospitals begin experiencing improvements in financial outcomes, additional analysis was conducted using a 1- or 2-year lag for profit margin ratios. RESULTS: A total of 5768 hospital-year observations were analyzed over the course of 4 years. According to the results of the moderation analysis, as the readmission rate increases by 1 unit, the effect of a 1-unit increase in EHR adoption level on the operating margin decreases by 5.38%. Hospitals with higher readmission payment adjustment factors have lower penalties. CONCLUSIONS: This study fills the gap in the literature by evaluating individual relationships between EHR adoption levels and financial and clinical outcomes, in addition to evaluating the relationship between EHR adoption level and financial outcomes, with clinical outcomes as moderators. This study provided statistically significant evidence (P<.05), indicating that there is a relationship between EHR adoption level and operating margins when this relationship is moderated by readmission rates, meaning hospitals that have adopted EHRs could see a reduction in their readmission rates and an increase in operating margins. This finding could further be supported by evaluating more recent data to analyze whether hospitals increasing their level of EHR adoption would decrease readmission rates, resulting in an increase in operating margins. Hospitals would incur lower penalties as a result of improved readmission rates, which would contribute toward improved operating margins.

How to plan and manage an individual participant data meta-analysis. An illustrative toolkit.

Individual participant data meta-analyses (IPD-MAs) have several benefits over standard aggregate data meta-analyses, including the consideration of additional participants, follow-up time, and the joint consideration of study- and participant-level heterogeneity for improved diagnostic and prognostic model development and evaluation. However, IPD-MAs are resource-intensive and require careful budgeting of time from data contributing groups, a dedicated management team, diversity of expertise, clearly documented data sharing and authorship agreements, and consistent and clear communication. We present a toolkit to facilitate the implementation and management of IPD-MAs, from study recruitment to retrospective harmonization. The toolkit was developed and refined over our work on multiple multinational IPD-MA projects over the last 13 years. The toolkit's budget and email templates, agreements, project management spreadsheets, and standard operating procedures are meant to facilitate routine IPD-MA tasks to expedite implementing and managing future IPD-MA projects.

Evaluation in design science: A framework to support project studies in the context of University Research Centres.

This paper proposes a discussion of the evaluation of an artefact developed under the Design Science paradigm using the Delphi method. It evaluates the Ecosystem framework of University Research Centres in Project Studies, considering a set of criteria pre-established in the literature. The Delphi method is an evaluation implemented in an electronic platform involving twenty-one participants, among whom were academics, practitioners, and PhD candidates in the field of project management. It reached consensus and stability in two rounds: the results indicate a consensus among the participants in the applicability, novelty, simplicity, completeness, fidelity to modelled phenomena, consistency and internal coherence, scalability, flexibility, interest, elegance, and reusability criteria. Usability was the only criterion that did not attain the predefined percentage of consensus among the participants (70%). Given the framework's characteristics, Delphi participants indicated the need to produce complementary guidelines for its implementation.

Utility and Evaluation of Applied Project Management Processes Within a Large Multicountry Health Systems Development Project Conducted During the Coronavirus Disease 2019 (COVID-19) Pandemic.

The increasing trends in antimicrobial resistance (AMR) continue to pose a significant threat to human health, with grave consequences in low- and middle-income countries. In collaboration with local governments and microbiology laboratories in South Asian and Southeast Asian countries, the Capturing Data on Antimicrobial Resistance Patterns and Trends in Use in Regions of Asia (CAPTURA) project worked to identify gaps and expand the volume of existing AMR data to inform decision-makers on how to best strengthen their national AMR surveillance capacity. This article describes overall project management processes and the strategies implemented to address the disruptive impact of the coronavirus disease 2019 (COVID-19) pandemic on the project activities across diverse contexts in different countries. Also, it assesses in-country team's feedback on the conduct of activities and their overall impact on project completion. The strategies employed were tailored to the specific context of each country and included increased communication and collaboration among consortium partners and in-country teams, as well as hiring of additional in-country team members. This paper highlights the importance of local representation and capacities as well as real-time (virtual) engagement with stakeholders, ensuring close monitoring of the local situation and ability to tailor context-specific mitigation strategies to continue project implementation during disruptive external circumstances.

Project management and circular economy in agribusiness: A systematic literature review.

This article aims to identify how project management can enable the introduction of circular economy (CE) in agribusiness. The methodological strategy used was the systematic literature review. The research corpus consisted of 70 articles selected from the Web of Science and Scopus databases. For screening, the Rayyan platform was used, and the analysis process was carried out by categorization and grouping of terms and concepts with the help of Excel software. The evidence shown the efforts to reduce agro-waste and how to transform them into by-products. Barriers, challenges, benefits and opportunities for making the CE viable in agribusiness are presented. Three ways of projecting the CE in agribusiness are identified: (1) project management processes in the integration of the CE in agribusiness, (2) innovative projects and new business models as drivers of the CE in agribusiness and (3) 4.0 technologies integrating the CE in agribusiness based on project management methodologies. Results are limited to terms used in search mechanisms. This research contributes towards identifying project management processes that can enable the CE in agribusiness, particularly by identifying the impacts of the CE in different business areas. The research also contributes in a practical way by providing insights on ways to make the CE viable in agribusiness through project management.

Potential features of building information modeling (BIM) for application of project management knowledge areas in the construction industry.

The construction industry (CI) plays a vital role in infrastructure development and improves the socio-economic status with employment opportunities and contribution to gross domestic progress (GDP) of countries. However, its productivity has diminished in recent years due to increasing complexities in construction projects (CPs) and lack of adoption of novel technologies such as Building Information Modeling (BIM). Also, there is a significant need of polishing the capabilities of construction practitioners to meet the project requirements in agreement with project management knowledge areas (PMKAs). This study, therefore, focused on identification and evaluation of factors necessary for measurement of extent of application of PMKAs. Subsequently, noteworthy features of BIM helpful for enhancing the capabilities of project managers (PMs) in application of PMKAs were identified from literature. A total of thirty-three factors for measurement of extent of application of PMKAs and sixty-six features of BIM helpful in enhancing the capabilities of PMs in application of PMKAs were found. The detailed study and analysis of these ninety-nine factors with the help of previous studies suggested that extent of application of PMKAs is measured with three sub-tasks i.e., plan, manage/develop, and monitor/control. In addition, by virtue of remarkable features and services of BIM, it helps in enhancing the capabilities of PMs in applying PMKAs: project integration, scope, cost, time, quality, resource, communications, procurement, risk, safety, and stakeholder management.

Open Science Training in TRIPLE.

This case study focuses on the online training activities on Open Science delivered within the H2020 project Transforming Research through Innovative Practices for Linked Interdisciplinary Exploration (TRIPLE, Grant Agreement 863420). The project is dedicated to building a discovery platform for the Social Sciences and Humanities (SSH) and is committed to promoting and supporting the uptake of Open Science within research practices. In order to address SSH research and training communities' needs for enhanced competencies on Open Science and for stronger support in the Findable, Accessible, Interoperable, Reusable (FAIR) management of digital training materials, two reusable outputs were produced. The work carried out is presented as a novel approach to tackle the issues related to FAIRifying research and training practices and to create training resources whose reusability and relevance reaches beyond the project lifetime and framework. The case study presents the methods by which the results were produced so as to encourage and enable their future adaptation and reuse. The TRIPLE Open Science training series (result 1) targets SSH researchers, research support personnel and infrastructure developers in need of practical tools and specific skills to integrate Open Science practices in their workflows. The training series provides 12 competence-oriented online training events in Open Access whose training materials are available as Open Educational Resources (OER). The TRIPLE Training Toolkit (result 2) targets training organisers and research performing organisations who wish to design and manage training events as OERs and increase the impact of their training following good practice. The Toolkit is an easily reproducible workflow designed to help trainers minimise the time they spend in managing training events following FAIR practice. The workflow follows a FAIR-by-design method to address the frequent findability and reusability issues related to the management of digital training resources .

An examination of large-scale electronic health records implementation in Primary Healthcare Centers in Saudi Arabia: a qualitative study.

Introduction: Digital transformation has become a buzzword in almost every industry in the twenti first century. Healthcare is not an exception. In the healthcare industry, digital transformation includes the utilization of electronic health records (EHRs), telemedicine, health information exchange, mobile health, and other interactive platforms. The importance of digital transformation in healthcare cannot be overemphasized as it has proven to be critical in improving patient outcomes, making healthcare delivery more efficient, and reducing costs. The positive impact of electronic health records was noticed almost immediately in the field of primary healthcare. It has been suggested that implementing electronic health records will enhance the accessibility and the process of distribution of health records between authorized users. As part of Saudi vision 2030, all healthcare organizations in Saudi Arabia are going to shift to digital transformation. Methods: This study follows a qualitative, semi-structure, face-to-face interview approach. The collected data were analyzed using NVivo V10 software. Inductive thematic analysis approach was used to analyse the collected data from the interviews. Result: Seventeen project team members, from different positions and backgrounds were purposively chosen to be interviewed. Three main themes and 38 codes were generated from the analysis of transcripts. The informants describe the implementation of electronic health records in the PHCs based on two different experiences. The participants reported that a previous attempt failed due to inappropriate infrastructure, lack of technical support, and low level of user acceptance. Therefore, the policymakers adopted several steps to increase the level of success and avoid failure causes. They initially established well-defined requests for proposals followed by continuous commendation among the project team and conducted a consultation on multiple levels (country level; organizational level and individual level). Conclusion: This study concluded that the main causes that lead to the failure of the large-scale project were lack of connectivity, lack of technical support, and staff changes, particularly those who occupied high-level positions in the Saudi ministry of Health. The success rate of EHRs implementation can be directly impacted by the size of the project. Large-scale projects are complicated and may be subject to numerous challenges compared with small projects. Significant factors such as training, support, legal issues, and organizational workflow and redesign were a concern of the project team during the pre-implementation phase. In addition, other factors related to technology and end-users were included in the EHRs implementation plan.

The Hospital of Tomorrow Case Study: Multidisciplinarity, Inclusiveness and Holistic Approaches to Foster Innovation in Complex Organizations.

BACKGROUND: This case study describes and analyses an action research initiative undertaken by management, staff and WHO at the St. Orsola-Malpighi Polyclinic in Bologna, Italy. The initiative utilised staff engagement approaches developed during the COVID-19 pandemic to rethink and reshape future development plans. The initiative provides a 'how-to' case study for complex health facilities on ways to create similar multisectoral, inclusive and holistic processes in planning structural, functional and organizational solutions for their 'hospitals of tomorrow'. METHODS: The case study utilised an action research approach coordinated by a team of WHO facilitators in close collaboration with the Board of Hospital Directors. Heterogeneous and multidisciplinary working groups were created, with members from different levels of the hospital staff. In the context of facilitated group meetings held weekly over a one-year period, participants were asked to review topics of interest to future plans of the hospital and make recommendations on effective/innovative ways of addressing these in the short and long term. Working groups focused on different challenges. RESULTS: The initiative was successful in creating and sustaining broad staff engagement in the future planning processes. 80% groups maintained high staff participation throughout the entire project year. Participating staff reported enhanced communication and cooperation between departments represented in different groups. 87% of the proposed plans suggested by the working groups were approved by the Board for implementation. CONCLUSION: Key factors contributing to the high approval rate of plans, strong engagement record of staff and enhanced cooperation between involved departments; included: multisectoral/cross hierarchal staff involvement, group attention to defining time-bound contextual goals, flexible implementation monitoring approaches, personnel skills and profiles of participants, direct and open communication at all levels and times, member commitment and clear exit strategy. The case study is presented as a model to stimulate similar actions in other complex health care facilities.

A ship-construction dataset for resource leveling optimization in large project management problems.

Resource leveling is a highly complex optimization problem corresponding to adjusting a project's timeline (start and end dates) with the aim of matching resource allocation demands. The problem is particularly complex when a project is large and involves hundreds or even thousands of activities. Its successful solution is equivalent to considerable profits for the involved construction groups through the efficient management of their resources. In literature usually can be found only small-size benchmark problems consisting of a few activities (i.e., ten to twenty) mainly aiming to demonstrate that a new proposed method can operate correctly identifying the optimum (or a near-optimum) solution. This data article provides resource leveling data suitable for testing, corresponding to a very large real-world problem of ship construction (consisting of 1178 activities). According to recent literature, the majority of the proposed methods for solving resource-leveling optimization problems are based on algorithmic approaches, usually artificial intelligence-oriented (evolutionary programming). The reason is that intelligent approaches manage to solve complex problems, producing approximate solutions of high accuracy and thus attractive (profitable) for practical application. The provided data have been tested in the past with intelligent techniques using different evaluation functions. Nevertheless, the specific dataset has never been published before elsewhere and now there is a clear opportunity to provide these data for testing and benchmark experimentation to interested researchers.

Application of team science best practices to the project management of a large, multi-site lung cancer screening research consortium.

Research is increasingly conducted through multi-institutional consortia, and best practices for establishing multi-site research collaborations must be employed to ensure efficient, effective, and productive translational research teams. In this manuscript, we describe how the Population-based Research to Optimize the Screening Process Lung Research Center (PROSPR-Lung) utilized evidence-based Science of Team Science (SciTS) best practices to establish the consortium's infrastructure and processes to promote translational research in lung cancer screening. We provide specific, actionable examples of how we: (1) developed and reinforced a shared mission, vision, and goals; (2) maintained a transparent and representative leadership structure; (3) employed strong research support systems; (4) provided efficient and effective data management; (5) promoted interdisciplinary conversations; and (6) built a culture of trust. We offer guidance for managing a multi-site research center and data repository that may be applied to a variety of settings. Finally, we detail specific project management tools and processes used to drive collaboration, efficiency, and scientific productivity.

Impact of digital communications on project efficiency through ease of use and top management support.

The pandemic has made the world witness an overnight transition from traditional to digital space owning to a lockdown, affecting everyday life. During the lockdown, the business community and people switched to online communication tools for survival. The behaviour towards adopting online communication tools during the pandemic has opened a new direction for researchers to study. This study aims to understand how during the covid-19 lockdown, digital communication tools affect project efficiency. It also explored to what extent project performance (PP) has been affected by digital communication during the lockdown. The study has used a cross-sectional quantitative-based approach. Moreover, a convenience sampling technique was adopted to collect. The target respondents are the project staff and employees of humanitarian organisations comprising international non-profit organisations (INGOs), UN agencies, and local non-profit organisations (NGOs) based in Pakistan. The survey was shared with 400 employees, and only 302 respondents responded. The results show that the user behaviour towards adopting digital communication tools is high; digital communication tools have an impact on project performance, while ease of use significantly moderates the relationship between digital communications tools and project performance compared to top management support. The research helps study employees' struggles in adopting change and advising organisations to devise practical digital communication strategies and business continuity plans to cope with crises.

Impact of Pandemic SARS COVID-19 on Different Construction Project Management: Problems and Solutions.

This study discusses risk management strategies caused by pandemic-related (Covid-19) suspensions in thirty-six engineering projects of different types and sizes selected from countries in the middle east and especially Iraq. The primary data collection method was a survey and questionnaire completed by selected project crew and laborers. Data were processed using Microsoft Excel to construct models to help decision-makers find solutions to the scheduling problems that may be expected to occur during a pandemic. A theoretical and practical concept for project risk management that addresses a range of global and local issues that affect schedule and cost is presented and results indicate that the most significant delays are due to a lack of good project risk management skills and remote project management capability which is exacerbated by shortfalls in technical development and information technology.

Healthcare transformation journey in the Eastern Region of Saudi Arabia: an overview, challenges and lessons learned.

The Kingdom of Saudi Arabia has embarked on a transformation journey referred to as "Vision 2030", which commenced in June 2016. The healthcare sector is currently going through a radical transformation under this Vision. The new Model of Care shifts the focus of the healthcare sector towards proactive care and wellness, aiming to achieve better health, better care, and better value. This paper aims to provide an overview of the Model of Care and review its achievements and progress in the Eastern Region. The paper will further discuss the challenges faced and lessons learned through the implementation process. Internal documents were reviewed, and a comprehensive literature search was undertaken in relevant search engines and databases. Some of the successes of the Model of Care implementation include improved data management, collection and visualization, and better patient and community engagement. Nevertheless, there is a sense of urgency to face the many challenges identified in the Saudi Arabian health system over the coming decade. Although the Model of Care focuses on addressing these identified challenges and gaps, there are many difficulties facing its implementation in the country and several lessons learned during the first few years since its launch, which this paper mentions. Hence, there is a need to measure the successes of pathways and the overall impact of the Model of Care on both the healthcare provision as well as improved population health.