Project Team Members Research Articles

How coaching project manager influence construction project team members’ job burnout: a conservation of resources perspective

PurposeConstruction project team members’ job burnout damages the physical health of members and also have a negative effect on project performance. This study primarily aims to empirically examine the relationship between coaching project managers (CPMs) and team members’ job burnout. Moreover, this research examines the cross-level mediating effect of team caring ethical climate and team members’ team-based self-esteem (TBSE) on the relationship between the two aspects.Design/methodology/approachThis study uses conservation of resources theory as basis to construct a cross-level research model of the effect of CPMs on team members’ job burnout. Thereafter, regression analysis was performed on a sample of 431 team members from 83 teams.FindingsAccording to the empirical results, the authors found that, in construction project teams, first, CPMs were negatively correlated with team members’ job burnout and positively correlated with caring ethical climate and team members’ TBSE. Second, caring ethical climate and team members’ TBSE played a cross-level mediating role between CPMs and team members’ job burnout. In addition, caring ethical climate played a cross-level moderating role in the negative relationship between team members’ TBSE and job burnout.Originality/valueThis study introduces coaching leadership, an important leadership type, into the research background of construction project teams, thereby theoretically enriching the research on construction project team leadership. Moreover, by further expanding the research on the consequences of coaching leadership to the field of job burnout, this study also enriches the theoretical results of the research on the consequences of coaching leadership.

Driving Project Outcomes in Healthcare: How Servant Leadership and Team Dynamics Contribute to Success

The current research explores the project outcomes in healthcare sector of Pakistan by assessing servant leadership and team dynamics in the context of Situational Strength Theory. This research model examines the effect of servant leadership on project success via intervention of team effectiveness. Moreover, it also incorporates the moderating impacts of team level variables; team autonomy and task ambiguity in these relationships. The data is gathered from practicing health care project team members of Pakistan. Hence, for data analysis the Statistical technique Partial Least Square-Structural Equation Modelling (PLS-SEM) is employed. The findings indicate that project success is positively and significantly related with servant leadership. Servant leader increases the likelihood of project success and effectiveness directly at the team level. Mediation of team effectiveness between servant leadership and Project Success is also supported as the servant leadership practices nurtures the overall team process and foster team effectiveness. The moderation of task ambiguity is determined to be significant, while interestingly, that of team autonomy is found to be insignificant. The study also establishes the importance of servant leadership for evolving team effectiveness in project-based organizations for the achievement of project success. The results of this study are relevant for the advancement of project management practices, especially in the healthcare sector. This particular study offers practical recommendations to healthcare organizations with regard to successful implementations of effective leadership strategies that improve their team processes and enhance the attainment of desired outcomes for projects. The insights generated by this research add to the existing literature both in healthcare management and project management, fill a significant theoretical gap, and provide a basis for further studies on the role of leadership in complex settings where project organizations are involved.

The power of many: analyzing the impact of shared leadership on project teams

PurposeShared leadership has received significant empirical and theoretical attention in the project management literature. However, a dearth of studies reveals how shared leadership promotes project performance. Drawing on the theory of conservation of resources, this research proposes a serial mediation model that investigates the relationship between shared leadership and project performance through team failure learning and team resilience.Design/methodology/approachA field study was conducted that surveyed 79 project teams in various industries (comprising 380 project team members and 79 project managers) using a multisource, time-lagged survey design.FindingsOur findings show that shared leadership has a positive impact on project performance. More importantly, team failure learning and team resilience play sequential mediating roles in the relationship between shared leadership and project performance.Practical implicationsThis research offers new ways for project managers to manage project performance effectively. Project managers are encouraged to recognize the benefits of shared leadership. To do this, they should facilitate team failure learning and improve team resilience, which serves to boost project performance.Originality/valueThis research provides a novel perspective on how shared leadership influences project performance. To the best of our knowledge, we are among the first to explore the serial mediating effects of team failure learning and team resilience on the relationship between shared leadership and project performance.

Clinical Characteristics of Anti-Synthetase Syndrome: Analysis from the CLASS project.

Anti-synthetase syndrome (ASSD) is a rare systemic autoimmune rheumatic disease (SARD) with significant heterogeneity and no shared classification criteria. We aimed to identify clinical and serological features associated with ASSD that may be suitable for inclusion in the data-driven classification criteria for ASSD. We utilized a large, international, multi-center "Classification Criteria for Anti-synthetase Syndrome" (CLASS) project database, which includes both ASSD patients and controls with mimicking conditions, namely SARDs and/or interstitial lung disease (ILD). The local diagnoses of ASSD and controls were confirmed by project team members. We employed univariable logistic regression and multivariable Ridge regression to evaluate clinical and serological features associated with an ASSD diagnosis in a randomly selected subset of the cohort. Our analysis included 948 ASSD cases and 1077 controls. Joint, muscle, lung, skin, and cardiac involvement were more prevalent in ASSD than in controls. Specific variables associated with ASSD included arthritis, diffuse myalgia, muscle weakness, muscle enzyme elevation, ILD, mechanic's hands, secondary pulmonary hypertension due to ILD, Raynaud phenomenon, and unexplained fever. In terms of serological variables, Jo-1 and non-Jo-1 anti-synthetase autoantibodies, antinuclear antibodies with cytoplasmic pattern, and anti-Ro52 autoantibodies were associated with ASSD. In contrast, isolated arthralgia, dysphagia, electromyography/MRI/muscle biopsy findings suggestive of myopathy, inflammatory rashes, myocarditis, and pulmonary arterial hypertension did not differentiate between ASSD and controls or were inversely associated with ASSD. We identified key clinical and serological variables associated with ASSD, which will help clinicians and offer insights into the development of data-driven classification criteria for ASSD.

Understanding the Integration of Building Energy Modeling into the Building Design Process: Insights from Two Collaborative Construction Projects

This research investigates the integration of building energy modeling (BEM) within collaborative construction projects to inform design decisions for achieving high-energy performance goals. The study aims to understand current practices, benefits, and challenges associated with this integration. Using an ethnographic case study approach focused on two high-energy performance social housing projects with integrated project delivery and integrated design processes, data were collected through direct observations, document analysis, and interviews with project team members. Design process modeling was utilized to dissect current practices, followed by a hybrid inductive and deductive thematic analysis to find challenges related to energy performance design in collaborative projects. Findings from this research revealed that BEM experts often operate in isolation, with late integration of energy models into design decisions. Compliance-centric BEM usage and challenges related to interoperability of design and BEM tools further compound the issue of seamless collaboration. However, the study highlights that early collaboration among project stakeholders emerges as a pivotal factor in informed design decisions, bridging the gap between energy modeling and design. This research provides valuable insights for practitioners seeking to optimize BEM in their design process, and offers support to policymakers aiming to enhance the role of BEM in projects.

Intellectual property protection as catalyst for radical technological innovation in national research program teams through innovation milieu and group potentials

Based on the innovation-driven theory and the ability-motivation-opportunity (AMO) perspective, we explore the role of intellectual property protection (IPP) in enhancing the radical technological innovation (RTI) of national research project teams (NRPT). Survey data from 336 national research project team members from universities and enterprises were used to analyze the theoretical model of this study, bringing in the chain-mediated effects of innovation milieu (IM) and group potential (GP) for analysis, as well as two-stage hybrid partial least squares structural equation modeling (PLS-SEM) and artificial neural network techniques (ANN) to evaluate the hypotheses. The empirical findings of this paper show that the strength of IPP has a positive relationship with RTI of NRPT, and that IPP is the most important predictor of this. These new findings expand the scope of innovation-driven theory and AMO theory, and provide a constructive model for NRPT to provide suggestions for the improvement of IPP system as a way to improve the realization of RTI. The results of this study can guide policymakers in strengthening IPP systems to encourage research teams to explore innovation more proactively and to facilitate the reasonable sharing and transfer of innovative outcomes. By creating a supportive innovation environment and maximizing the potential of research teams, technological breakthroughs can be achieved more effectively.

The Impact of Leadership and Management on the Implementation of Electronic Health Record Systems in the Primary Healthcare Centers.

In the last three decades, Electronic Health Records Systems (EHRSs) have become one of the top priorities of policymakers globally. Nowadays, EHRS reform is fast becoming a priority in developed countries. The introduction of EHRSs in Saudi healthcare organizations is considered one of the highest priorities of policymakers. Saudi Arabian e-health strategy pays reasonable attention to the EHRS implementation project. According to Saudi Vision 2030, the e-health transformation will be on top of IT projects in the country. However, an estimated 50% of EHRS implementations have failed. Project leadership and type of project management have been found to be crucial components of effective EHRS implementation. To evaluate the role of centralized project management (CPM) in the implementation of large-scale EHRSs in Primary Healthcare Centers (PHCs) in Saudi Arabia (SA). A sequential explanatory mixed-methods approach involving a survey and semi-structured qualitative interview methods were utilized. A total of 39 (75%) out of 53 policymakers at the Saudi Ministry of Health completed the survey, and 14 project team members were interviewed. Findings from both illustrated that adopting centralized project management approaches to implementation was beneficial in facilitating large-scale EHRS implementation and helped to overcome barriers that may have otherwise led to the failure of the project. EHRS interoperability and software selection were the factors that CPM influenced most positively.

The Utilization of Stakeholder Management Frameworks for the Successful Completion of Construction Projects in Zambia

This study aimed to examine the utilization of stakeholder management frameworks in the Zambian construction industry using the Kariba Dam Rehabilitation Project (KDRP) in Siavonga as a case study. The study was pinned on the stakeholder theory using a mixed methods design that involved integrating quantitative data and desk/secondary research. The target population comprised industry practitioners and project team members working on the KDRP project. Using judgmental (or purposive) sampling, 91 respondents took part in an online survey and over 30 articles were examined in the systemic review. Quantitative data was analyzed using SPSS V23 by running descriptive frequency statistics and the studies were grouped using Atlas.ti software. The study demonstrated a good level of knowledge and positive attitude by construction workers on the KDRP of stakeholder management. The biggest factors that influenced the implementation and application of stakeholder management frameworks were a lack of project or organizations management interest to implement stakeholder management frameworks and lack of skill by contractors and project managers to apply stakeholder management frameworks among others. The study concluded that there is no stakeholder management framework in use in the Zambian construction industry. Therefore it is recommended that the concerned engineering bodies advocate for the development of national or industry-specific policies, regulations, or guidelines that promote stakeholder engagement in construction projects.

AAT4IRS: automated acceptance testing for industrial robotic systems.

Industrial robotic systems (IRS) consist of industrial robots that automate industrial processes. They accurately perform repetitive tasks, replacing or assisting with dangerous jobs like assembly in the automotive and chemical industries. Failures in these systems can be catastrophic, so it is important to ensure their quality and safety before using them. One way to do this is by applying a software testing process to find faults before they become failures. However, software testing in industrial robotic systems has some challenges. These include differences in perspectives on software testing from people with diverse backgrounds, coordinating and collaborating with diverse teams, and performing software testing within the complex integration inherent in industrial environments. In traditional systems, a well-known development process uses simple, structured sentences in English to facilitate communication between project team members and business stakeholders. This process is called behavior-driven development (BDD), and one of its pillars is the use of templates to write user stories, scenarios, and automated acceptance tests. We propose a software testing (ST) approach called automated acceptance testing for industrial robotic systems (AAT4IRS) that uses natural language to write the features and scenarios to be tested. We evaluated our ST approach through a proof-of-concept, performing a pick-and-place process and applying mutation testing to measure its effectiveness. The results show that the test suites implemented using AAT4IRS were highly effective, with 79% of the generated mutants detected, thus instilling confidence in the robustness of our approach.

Analysis of virtual simulation training teaching problems of intellectual property law based on real working situations

This article aims to take AI intelligent training software and real business drills of intellectual property as the training mode to carry out intellectual property-related training in fields such as data intellectual property creation, application, management, transformation, and education, and truly achieve the educational goal of integrating science, education and industry. First, innovate the intellectual property training platform. Through AI question-and-answer led by digital human images, introduce front-line practical experts in the field of intellectual property into the virtual simulation training teaching process, build a training scene for the entire chain protection of intellectual property and real working situations, and improve the practical effect of training and cultivating intellectual property talents. Second, deepen the social service system of intellectual property. Project team members guide students and trainees to actively participate in patent navigation, patent group projects, pilot projects, intellectual property protection projects, etc., exercise and promote the continuous improvement of the social service capabilities of various intellectual property talents. At the end of the article, it is proposed that while intellectual property law teaching adapts to the development needs of the digital age, it should take the construction and teaching application of a virtual simulation experiment platform in real work situations as the core, respond to the practical needs of social practice work, and improve students' ability to adapt to society. The organic integration of AI technology, digital human technology and practical training teaching of intellectual property law has certain reference significance for the realization of the metaverse vision.

A Comparison of Vancomycin Area Under the Curve and Trough Concentration in Specific Populations.

Background: Vancomycin is an antibiotic known to cause nephrotoxicity, particularly when a vancomycin trough of 15 to 20mg/L, a surrogate for an area under the curve (AUC) of at least 400mgh/L, is targeted. Although monitoring vancomycin AUC is more resource intensive, it may especially benefit populations expected to be at higher risk of nephrotoxicity. Objective: To describe the proportion of discordance between vancomycin AUC and trough concentration in targeted high-risk populations. Methods: A prospective observational review was conducted on adults receiving intravenous vancomycin for more than 48 hours from May 9 to June 3, 2022. Patients included were elderly, obese, had renal dysfunction, and/or received 4 grams or more of vancomycin daily with a pending vancomycin trough concentration. A peak concentration was ordered by a project team member to calculate AUC to assess discordance. Results: A total of 47 patients were included with 87 vancomycin minimum concentration (Cmin)/AUC pairs analyzed. Discordance was observed in 52.9% of Cmin/AUC pairs in the entire cohort. The majority (79%) of the 43 Cmin levels <15mg/L had an associated AUC >400mgh/L and 57% of 21 Cmin levels within the 15 to 20mg/L range had an AUC >600mgh/L. Conclusion: A high degree of discordance between vancomycin Cmin and AUC was present in patients considered to be at high risk of nephrotoxicity. Monitoring vancomycin AUC in these patients may reduce the risk of nephrotoxicity.

Artificial Intelligence Adoption and Project Success: A Mixed-Method Study

AI&amp;apos;s growing acceptance is changing project management&amp;apos;s human-centric approach. Project management is using AI to automate and support duties. This change could improve workflows, decision-making, and project efficiency. The full influence of AI on project success is unknown. There is little empirical evidence linking AI use to project outcomes. This ignorance highlights the necessity to study AI&amp;apos;s impact on project management. The project management AI industry is expected to expand 38% annually. Since the late 1980s, AI has improved project management by providing more intelligent and autonomous help. Data privacy, accountability, strategic leadership, communication, innovation, and emotional intelligence are important ethical issues. This study examines how AI adoption affects project success through communication and feedback. This mixed-method study examines how AI adoption affects project success. The quantitative phase measured AI communication, feedback, and project progress via a predefined questionnaire. The sample includes construction, IT, manufacturing, healthcare, and finance project managers and team members. Multiple regression analysis and structural equation modelling were employed in IBM SPSS AMOS to examine AI adoption and project success measures. A qualitative phase of semi-structured interviews with respondents contextualised the quantitative data. Thematic analysis gleaned insights from interview transcripts. AI&amp;apos;s impact on project success was examined using integrated data, with ethics in mind. The study examined AI tool-project success relationships using a structural equation model. Communication mode, feedback style, and frequency explained 3% of project success variance. Quantitative research showed that AI communication frequency improves project success, whereas mode and style negatively impact it. Participants&amp;apos; qualitative comments indicated six themes that match quantitative findings, and their replies enhance quantitative results and recommend improvements. The study concluded that AI communication frequency positively increases project success, while mode and style negatively affect it. The mixed-methods approach showed that AI tools alone cannot ensure project success; communication style and frequency are. The study recommended among others that organisations should integrate AI tools into project management systems, match AI communication modes to project team preferences, optimise feedback styles, and provide regular updates to improve AI communication. Project teams need ongoing training.

Aligning practices towards a circular economy in the architecture, engineering, and construction sector: seven transitions in different stages of reconfiguration

The architecture, engineering, and construction (AEC) sector is in need of a transition towards a circular economy. This article offers an analysis of two cases with a wide variation regarding project dynamics in the Netherlands. Alignments and misalignments were analyzed between practices concerning seven design strategies for circular design based on social practice theory and concepts from the multi-level perspective. Results show that many misalignments still hinder the transition, mostly concerning the use of secondary resources, such as notions regarding quality, beauty, and safety among project team members or rapid decision-making processes of the municipality that misalign with the uptake of design with secondary resources. This article offers directions for reconfiguration, such as better tuning between project planning and urban planning and taking up a more flexible stance regarding the function of the building. This research is interesting for practitioners and researchers focusing on the transition towards a circular economy in the AEC sector.

Recent progress of JT-60SA project toward plasma operation

Abstract Superconducting tokamak JT-60SA plays an essential role in fusion research and development by supporting and complementing ITER project, providing directions to the DEMO design activity and fostering next generation scientists and engineers. Since the incident of the Equilibrium Field coil #1 during the Integrated Commissioning (IC) in March 2021, both EU and JA Implementing agencies (IAs) have examined how to ensure safety operation of JT-60SA by mitigating the risk of possible discharge occurrence inside the cryostat. Based on the experience of the Global Paschen tests, the IAs have established a strategy of risk mitigation measures, which is a combination of (i) reinforcement of insulation, (ii) avoiding unnecessary voltage application to the coil systems and (iii) immediate de-energization of the coils when deteriorated vacuum condition is detected. Thanks to the considerable efforts of the Integrated Project Team (IPT) members, the IC restarted in May 2023. After the confirmation of superconducting state of coil systems (TF, EF and CS), the coil energization test and the plasma operation (OP-1) starts. The first plasma was successfully achieved on 23 October 2023 with a limited value of applied voltage and current to the coils. The plasma configuration control will be also confirmed with low plasma current and low auxiliary heating power conditions. Based on the IO-F4E-QST collaboration, activities of JT-60SA have been shared with the IO and provided an important lesson learned for ITER assembly and commissioning, and will provide an outstanding contribution to fusion research at large. After OP-1, Maintenance &amp; Enhancement phase 1 (M/E-1) starts from January 2024, in which in-vessel components are installed, and heating system and diagnostic system are extensively upgraded to allow high power heating experiment planned in OP-2. In order to make the best use of JT-60SA, newly organized JT-60SA experiment team will refine the research plan in the future high heating power operation phase.

Sustainability and software development projects: leadership, core self-evaluation and empowerment as critical success factors

Purpose The purpose of this paper is to integrate job demands–resources theory with core self-evaluation theory to examine how and when sustainable project leadership stimulates sustainable project performance. Psychological empowerment is used as a mechanism between sustainable project leadership and sustainable project performance, whereas core self-evaluation acts as a moderator between sustainable project leadership and psychological empowerment. Design/methodology/approach This study adopts a time-lagged two-phase approach to collecting data from 257 software engineers working in medium-sized and large companies in the Polish financial sector. Findings This study reveals the direct and indirect (through psychological empowerment) effects of sustainable project leadership on sustainable project performance. It also confirms that the “sustainable project leadership–psychological empowerment” relationship strengthens with increasing level of project team members’ core self-evaluation. Originality/value This article explores a unique research framework. It significantly enriches the literature on sustainable project management, increasing the understanding of effective leadership practices that address the needs of software engineering teams to support sustainable project performance.

Using Quality Improvement to Expand and Align State Public Health Long-Term Follow-up Data Collection Across Newborn Screening Conditions

Context: Despite the undeniable success of newborn screening (NBS), numerous barriers exist regarding long-term follow-up (LTFU) of children with conditions included in NBS. Furthermore, there is a focus on condition-specific follow-up with no national guidelines for standard quality measures collected by state public health LTFU programs. Program: Minnesota Department of Health (MDH) Longitudinal Follow-up for NBS. Implementation: A state public health LTFU for NBS quality improvement (QI) project was carried out with collaboration between MDH project team members and a QI Steering Team who provided clinical, public health, education, caregiver, and community perspectives and expertise to MDH. Relevant measures were selected from existing data elements, and additional measures were developed based on exchange between MDH project team and the QI Steering Team. Potential data sources were explored and prioritized. Processes for querying existing data sources such as death records were refined, new sources such as electronic health records and paper/PDF health records were established, and data collection was piloted. The Minnesota Electronic Disease Surveillance System was modified, and an electronic data form was created to promote consistent data abstraction from sources. Throughout the project, progress was evaluated and shared. At project conclusion, MDH project team and the QI Steering Team reviewed project outcomes and approaches to evolve the project into ongoing surveillance. Evaluation: Five common public health LTFU measures were determined. Overall, 77% of attempted measures were successfully collected. Primary and secondary data sources were adopted. In addition, collected data resulted in 7% of cases that were closed to further public health LTFU, often related to a move out of state. Discussion: This project established the feasibility of state public health LTFU surveillance of outcomes and health care use by collecting a common data set applicable across NBS conditions.

Collaborative dynamics in open source software development: Unveiling the influence of team interaction and the role of project manager

AbstractAs the world becomes increasingly reliant on open‐source software (OSS) development platforms, collaborative communication networks are becoming more complex, resulting in non‐trivial effects on project performance. This study examines the impact of communication network characteristics on project performance, measured in terms of the number of issues closed within OSS projects. Additionally, this research examines how this project outcome is affected by project managers' active participation in these communication networks. Using a panel dataset of 1599 projects spanning 104 weeks, with a total of 120,243 observations, we find that the density of communication network has an inverted U‐shaped relationship with project performance, that is, as the density of the communication network formed by team member interactions increases, project performance initially increases but then starts to decrease. Meanwhile, a project manager's participation in the communication network has no direct positive impact on project performance, but it flattens the inverted U‐shaped relationship, that is, it reduces the rate of decrease in project performance after the density of the communication network formed by project team members crosses the inflection point. These results provide valuable insights into the dynamics of communication networks in OSS projects and can help develop strategies for improving project performance.

CASCADE: A Community-Engaged Action Model for Generating Rapid, Patient-Engaged Decisions in Clinical Research.

Integrating patient and community input is essential to the relevance and impact of patient-focused research. However, specific techniques for generating patient and community-informed research decisions remain limited. Here, we describes a novel CASCADE method (Community-Engaged Approach for Scientific Collaborations and Decisions) that was developed and implemented to make actionable, patient-centered research decisions during a federally funded clinical trial. The CASCADE approach includes 7 key pillars: (1) identifying a shared, specific, and actionable goal; (2) centering community input; (3) integrating both pre-registered statistical analyses and exploratory "quests"; (4) fixed-pace scheduling, supported by technology; (5) minimizing opportunities for cognitive biases typical to group decision making; (6) centering diversity experiences and perspectives, including those of individual patients; (7) making decisions that are community-relevant, rigorous, and feasible. Here, we implemented these pillars within a three-day CASCADE panel, attended by diverse members of a research project team that included community interest-holders. The goal of our panel was to identify ways to improve an algorithm for matching patients to specific types of telehealth programs within an active, federally funded clinical trial. The CASCADE panel was attended by 27 participants, including 5 community interest-holders. Data reviewed to generate hypotheses and make decisions included (1) pre-registered statistical analyses, (2) results of 12 "quests" that were launched during the panel to answer specific panelist questions via exploratory analyses or literature review, (3) qualitative and quantitative patient input, and (4) team member input, including by staff who represented the target patient population for the clinical trial. Panel procedures resulted in the generation of 18 initial and 12 final hypotheses, which were translated to 19 decisional changes. The CASCADE approach was an effective procedure for rapidly, efficiently making patient-centered decisions during an ongoing, federally funded clinical trial. Opportunities for further development will include exploring best-practice structural procedures, enhancing greater opportunities for pre-panel input by community interest-holders, and determining how to best standardize CASCADE outputs. The CASCADE procedure was developed in the context of NCT05999448.

Usability Checklists for Health Technology: Case Study and Experts' Opinions.

Application of usability evaluations throughout the health technology lifecycle is necessary to improve the efficiency, safety, and effectiveness of health service delivery. Unfortunately, technology vendors and healthcare organizations may not have funding, time or expertise to conduct usability studies. In this paper, we describe how usability checklists can potentially fill this gap. First, we introduce a case study using a checklist to identify usability issues with a primary care dashboard. Then we provide an expert summary of the strengths and limitations of usability checklists. Findings suggest that checklists are efficient to identify important usability issues. They can be used effectively by project team members - including clinicians - without formal usability training. However, checklists should complement rather than replace usability evaluations with representative users.

Development, Pilot, and Evaluation of a Qualitative Documentation Tool for Pharmacists to Share High Impact Patient Intervention Stories.

Background: Community pharmacists are often the most accessible member of the healthcare team to many patients and can play a key role in managing their chronic conditions, such as diabetes or heart disease, through enhanced pharmacy services. Despite their accessibility, pharmacy services are often underutilized due, in part, to a lack of adequate reimbursement models that comprehensively encapsulate all elements of those pharmacy services. While routine documentation of services does collect certain qualitative data, they do not always indicate the nuance of the full scope of services with resulting robust impact and value of those services for the patient and healthcare system. Objective: To develop and pilot an online reporting tool for pharmacist documentation of high impact patient intervention "stories" that includes the nuances of care provision processes in outpatient pharmacy settings that promote positive outcomes. Methods: An online Patient Stories Reporting Tool (PRST) was developed to allow outpatient pharmacists to document details on distinct direct patient care encounters, or "stories", that they felt showcased their value. Documentation through PSRT included limited quantitative data and qualitative data with a focus on a free response narrative for the "story". In a pilot, the PSRT was distributed to 18 pharmacists across 16 practice sites from one partnering pharmacy organization. Qualitative data, the focus of the included analysis, was collected, assessed by project team members, and organized by intervention types. Results: Forty-seven stories involving 17 pharmacists across 13 practice sites from August 2021 to March 2023 were reported. Three types of key intervention stories were identified including General Patient Education (7 stories), Medication Optimization (20 stories), and Cost Reduction (20 stories). Given the nature and scope of this initial pilot, one story for each of the three most prevalent intervention types was identified as exemplifying the types of stories the tool can collect and are subsequently discussed in detail. Conclusions: The three selected stories help to characterize the services pharmacists provide, the critical components of pharmacist-patient interactions, and the value of sharing these stories utilizing tools such as the PSRT. Through these stories, the PSRT also begins to record the nuances of pharmacist interventions and the impact they can make in a patient's healthcare journey. Potential applications of the tool are multivarious including supporting improvements in the perception of pharmacists' roles on the healthcare team and justifying expansion of reimbursement models.