Benefits Of Program Research Articles

Integrating real-world entrepreneurship with international learning: insights from a blended intensive programme

Purpose This study aims to illustrate how a university can leverage a Blended Intensive Programme (BIP) to act as a boundary spanner in international collaborations and multi-stakeholder value co-creation. This research explores the potential of a reimagined study abroad program to connect disparate entrepreneurial ecosystems and enhance the university’s role in fostering international collaborative projects. Design/methodology/approach This study uses a case study methodology to investigate an Erasmus+ BIP aimed at integrating real-world entrepreneurship with international learning. Data were collected through surveys, interviews and participant observation, providing a robust analysis of how such programs can bridge entrepreneurial ecosystems internationally. Findings The study shows how a blended study-abroad program not only enhances students’ learning outcomes but also can bridge local and international entrepreneurial ecosystems. By facilitating rich exchanges and value co-creation among students, faculty, industry and government stakeholders, the blended format of the program—integrating virtual and in-person elements—proved crucial in maintaining continuity and engagement amid global disruptions. The study highlights the university’s pivotal role both as a facilitator of global business education and international collaboration. Research limitations/implications The study’s findings are based on a single BIP, so they may not apply to all similar programs worldwide. To understand the broader applicability and impact across different contexts, future research should include diverse BIPs from various regions and sectors. Practical implications This research highlights the multifaceted benefits of blended intensive study-abroad programs. The collaborative model serves as a template for enhancing the practical value of higher education globally. Originality/value The study provides insights into the potential of blended intensive programs for universities to extend their role as boundary-spanners through a unique model for international collaboration and multi-stakeholder engagement. This approach addresses the challenges of global disruptions and sets a precedent for future educational practices in international business.

The Psychophysiological Relaxation Effects of Essential Oil Combined with Still-Life Painting Activities on Older Adults in Taiwan During the COVID-19 Pandemic.

Although the COVID-19 pandemic affected all types of people, older adults were disproportionately affected. Therefore, we developed an indoor program inspired by art and natural elements (plant essential oils [EOs]) intended to have a relaxing effect akin to a forest atmosphere to enhance psychophysiological health during this period. Thirty Taiwanese older adults (range, 59-79 years) participated in the study. We combined an art activity (still-life painting of vegetables) with the inhalation of Pseudotsuga menziesii and Lavandula angustifolia EOs during a 100-minute experiment. The study showed that physiological measures (heart rate, normalized low-frequency heart variability, the ratio of low- to high-frequency heart variability, high-beta waves, and gamma waves) decreased during the experiment; correspondingly, increased standard deviation of normal-to-normal intervals, normalized high-frequency heart variability, and high-alpha waves were observed, indicating relaxed physiological state. Subjective psychological assessments using the State-Trait Anxiety Inventory-State showed lower posttest scores, further supporting the relaxation effects. The psychophysiological data from this study provide important scientific evidence for the physical and mental health benefits of indoor nature-based activity programs for older adults, thereby improving their quality of life.

Effectiveness, efficacy, acceptability, and feasibility of trauma-informed depression, anxiety, and substance use prevention programs for young people aged 12-25 years: A mixed-methods systematic review.

Mental ill-health and substance use bear significant public health burden on young people. Prevention is key. Trauma-informed approaches to prevention of mental ill-health and substance use demonstrate significant promise, yet it is unclear how well existing approaches work for young people targeting mental ill-health and substance use. This review aimed to assess the effectiveness, feasibility, and acceptability of trauma-informed mental ill-health and/or substance use prevention programs for young people. We searched the PsycINFO, CINAHL, Embase, MEDLINE, and Cochrane Library reference databases for peer-reviewed studies of trauma-informed mental ill-health and/or substance use prevention programs for young people published between 2013 and 2022. Studies in any language were included and reference lists of included articles were scanned for additional studies of relevance. In total, 30 studies were included in this review, comprising five randomized controlled trials (RCTs), seven non-RCTs, 10 quasi-experimental designs, and eight qualitative studies. Among the 30 studies, 27 unique trauma-informed prevention interventions were detailed. Eighteen studies reported statistically significant decreases in mental ill-health, and two studies reported significant decreases in substance use outcomes among participants, up to 6 months following the interventions. Most preventative interventions with statistically significant effects were selective (rather than universal or indicated) in their approach (n = 10, 55%). Broad acceptability and feasibility of trauma-informed prevention programs was observed among studies reporting this information though most quantitative studies were at high risk of bias and/or did not include a control group, whilst qualitative studies tended to report research conducted without a priori research aims. This review synthesizes for the first-time evidence on the effectiveness (or efficacy), feasibility, and acceptability of trauma-informed mental ill-health and/or substance use programs for young people, especially for those exposed to traumatic or adverse experiences. While there are promising efficacy outcomes, further research conducting rigorous, well-powered RCTs is required for large-scale evaluation and scaling of the potential preventative benefits of such programs.

Evaluation of a longitudinal Indigenous health elective in family medicine

Background: In response to the Truth and Reconciliation Commission of Canada Calls to Action 22 to 24 around health, the Department of Family Medicine at the University of Calgary piloted a novel Indigenous Health Longitudinal Elective (IHLE) to give first year residents longitudinal experiences in Indigenous healthcare environments. The purpose of this evaluation was to capture the successful qualities and identify areas for improvements to ensure feasibility of the IHLE pilot program. Methods: Between November 2022 and April 2023, semi-structured interviews were completed with seven participants of the IHLE and included a mix of residents, preceptors, and clinic staff members. Qualitative thematic analysis was used to gain an in-depth understanding of the IHLE program experiences of all participants. Results: Benefits of the IHLE program include a deeper understanding of the values and priorities critical to working in healthcare with Indigenous peoples in Southern Alberta. Areas for improvement include clarity around IHLE program structure; clearly defining roles and responsibilities for preceptors; increased opportunities for reciprocity and relationality; and a deeper self-reflection process. Conclusion: Recommendations for future iterations of the IHLE include ensuring preceptors are trained and engaged, while providing residents more opportunities for relationality and peer debriefing. Results from this study may also help inform future Indigenous health programming in family medicine.

The Efficacy of Telehealth Versus In-Person Management Delivery in Adult Patients with Obesity

Background: The effectiveness of telehealth in managing obesity in Saudi patients is still under investigation. This study compared the effectiveness of telehealth and in-person obesity management programs for adults. Methods: This clinical trial involved 62 adults, 29 receiving in-person intervention at the clinic and 33 receiving telehealth via videoconference calls. Anthropometric measurements, biochemical parameters, and dietary and lifestyle habits were assessed at baseline and after 12 weeks. Patients have been educated about goal-setting, healthy eating behaviors, personalized meal plans, and increasing physical activity levels. Results: It showed that 45% and 49% of the in-person and telehealth groups lost more than 5% of their initial body weight. Weight, % body fat, and waist circumference were significantly reduced in the in-person and telehealth groups (p < 0.001). No significant differences between the groups were found in the parameters mentioned above. Within-group analysis showed that light physical activity levels improved in both groups significantly (p < 0.001), and the moderate physical activity level improved significantly among the telehealth group (p < 0.039). No significant differences were observed between the groups regarding physical activity level, blood pressure measurement, and biochemical markers, except for the RBC blood level (p = 0.026). The telehealth group had significantly higher attendance rates for counseling sessions (97% vs. 75% for the in-person group, p < 0.01). Participants’ dropout rates were higher for the in-person group 21%, compared to the telehealth group 13%. Telehealth participants’ satisfaction regarding the benefits of the obesity management program in losing weight was higher at 87% compared to the in-person group at 76%. Conclusions: In conclusion, applying a telehealth obesity management program can support patients struggling with obesity who may have limited access to traditional healthcare services, while ensuring that telehealth care replicates the quality of in-person care.

Development method in a large-scale public sector IT programme

The Norwegian parental benefit programme started as a large-scale information technology operation to automate and provide self-service solutions for parental benefit applications. This benefit replaces lost salaries for about 100,000 parents every year while parents are home with new-born children. A previous programme to modernize IT solutions was stopped. The new programme replacing legacy solutions from the 1970s was seen as a large, complicated, and risky undertaking with a cost limit of USD 130 million. Initially, this programme had three main releases based on an internal development method combining project management and agile methods. During the second release, the programme experienced challenges with coordinating work across the business and development projects. The programme manager established a task force to propose changes in the development method for the last release. We then ask the question: If you were part of this task force, what should the programme manager do to remedy the coordination challenges for the last release? This teaching case is based on a longitudinal case study and is relevant for graduate or continuing education courses in information systems development or IT project management during which students learn how to organize efficient software development at scale.

Improved machine learning models with a similarity-based approach for remaining useful life prediction

Abstract Cost efficiency is a critical factor in the competitive aviation sector. These efficiency factors force airline operators to develop new approaches in their organizations. Predictive maintenance helps to build scheduling maintenance programs for airline operators or MROs. Scheduled maintenance programs benefit cost efficiency in the aviation sector. Predictive maintenance methods predict the failure time of any equipment. Predictions can be made by analyzing the sensor values from equipment. In this paper, we predicted the remaining useful life (RUL) of turbofan engines using machine learning models and a similarity-based approach. Sensor datasets from the Prognostics Data Repository of NASA, called CMAPPS, were utilized. Using the FD0002 sub-dataset, a health index (HI) was created, and models were trained. Once the models were trained, train and test HIs were estimated. The predicted test HI was matched with the predicted train HI based on a similarity-based approach, and then a RUL prediction was made. The results obtained were compared with the actual results to calculate the accuracy, and the algorithm that resulted in the maximum accuracy was identified. We selected six machine learning algorithms and also created an ensemble model by averaging the predictions of six machine learning algorithms for comparing prediction accuracy. The different algorithms were compared to obtain the prediction model with the closest prediction of remaining useful lifecycle in terms of the number of life cycles. This experiment showed us the effect of the similarity-based approach on the basic version of machine learning models for RUL prediction.

The financial benefits of health engagement programs to life insurers

Life insurance companies, as equity stakeholders in policyholders’ lives, have incentives to mitigate their health risks. I introduce a framework that enables life insurers to evaluate the financial viability of developing and implementing health engagement programs. By leveraging a proprietary big database of health and mortality information from a large U.S. life insurer, I use machine learning techniques to quantify the benefits and use a rational addiction model to calculate the costs associated with these programs. The estimated net benefit available to the life insurer from the smoking cessation program is USD 87 million and the aggregate benefit from including other chronic conditions is USD 872 million. I explore the broader application of this framework in a general health policy context.

Neighborhood Ecologies, Cases, and Deaths during the Beginning of the COVID-19 Pandemic: Lessons for Current and Future Epidemics?

The coronavirus disease 2019 (COVID-19) pandemic has disproportionately affected Black and Latinx communities. Ecologic analyses have shown that counties with a higher percentage of Latinx and Black people have worse COVID-19 outcome rates. Few ecologic analyses have been published at the neighborhood (census tract) level. We sought to determine whether certain sociodemographic neighborhood ecologies were associated with COVID-19 case and death rates in metropolitan Atlanta, Georgia. We used census data and principal-component analysis to identify unique neighborhood ecologies. We then estimated correlation coefficients to determine whether the neighborhood profiles produced by a principal-component analysis were correlated with COVID-19 case and death rates. We conducted geographically weighted regression models to assess how correlation coefficients varied spatially for neighborhood ecologies and COVID-19 outcomes. We identified two unique neighborhood profiles: (1) high percentage of residents, Hispanic ethnicity, without a high school diploma, without health insurance, living in crowded households, and lower percentage older than 65 years; and (2) high percentage of residents, Black race, living in poverty, unemployed, and households receiving Supplemental Nutrition Assistance Program benefits. Profile 1 was associated with COVID-19 case rate (Pearson r = 0.462, P < 0.001) and profile 2 was associated with COVID-19 death rate (Spearman r = 0.279, P < 0.001). Correlations between neighborhood profiles and COVID-19 outcomes varied spatially. Neighborhoods were differentially at risk of COVID-19 cases or deaths depending on their sociodemographic ecology at the beginning of the COVID-19 pandemic. Prevention methods and interventions may need to consider different social determinants of health when addressing potential cases and deaths during future emergent epidemics.

Artificial Intelligence Chatbots in Action: Optimizing Benefits Enrollment in Public Administration

This article examines the implementation of artificial intelligence-powered chatbots in public sector benefits enrollment processes, focusing on their potential to streamline operations, enhance user experience, and reduce administrative burdens. Through a comprehensive analysis of case studies in healthcare and social security benefits programs, we demonstrate that chatbots can significantly improve efficiency, accuracy, and accessibility in enrollment procedures. Our findings indicate a 30-40% reduction in processing times and a marked increase in application completion rates. However, challenges related to data privacy, system integration, and user acceptance persist. This article contributes to the growing body of literature on digital transformation in public administration by providing empirical evidence of chatbots' effectiveness in benefits enrollment. We conclude that while chatbots offer promising solutions to longstanding issues in public sector service delivery, their successful implementation requires careful consideration of technical, ethical, and user-centric factors. Our study has important implications for policymakers and public administrators seeking to leverage AI technologies to enhance public service efficiency and accessibility

Telerehabilitation in post-tuberculosis lung disease: a protocol for a randomized controlled clinical trial

Background: Few studies have evaluated structured telerehabilitation programs for individuals with post-tuberculosis lung disease (PTLD), resulting in a lack of specific guidelines. This protocol aims to evaluate the physical capacity and quality of life (QoL) of PTLD patients undergoing telerehabilitation. Methods: This randomized, controlled clinical trial has received internal review board approval and will recruit participants between December 2024 and June 2025, from a referral center in Brazil. Individuals thought to have PTLD, with a mini-mental state examination score &gt;24 and no physical limitations or comorbidities unrelated to pulmonary tuberculosis (TB) will be screened using imaging, total blood count, and biochemical profile. Those with confirmed PTLD will undergo the assessments of: QoL, and physical capacity (spirometry, body composition, calf circumference, six-minute walk test (6MWT), five-times-sit-to-stand test (FTSST), handgrip and isokinetic dynamometry). After that, the participants will be randomly allocated to control or intervention groups. While both groups will receive general guidance on health education and TB prevention, the intervention group will also receive a physiotherapy booklet with instructions for exercises to be performed five times a week for eight weeks. Participants of both groups will be monitored by videoconference, and the same assessment tools will be used to reevaluate QoL and physical capacity outcomes. Conclusions: The results may demonstrate the benefits of a telerehabilitation program on the physical capacity and QoL of PTLD patients, and may improve accessibility, cost savings, and personalized care through home-based therapy by videoconferencing. Trial registration: CAAE: 10481219.9.0000.5257. This study was registered at ClinicalTrials.gov (NCT04844502).

First-year evaluation of a campus-wide, cross-disciplinary scholarly writing development program supported by a center for biomedical research excellence (COBRE).

Scholarly publications are important indicators of research productivity and investigator development in Centers of Biomedical Research Excellence (COBREs). However, no information is available to describe implementation and evaluation of writing development programs within COBREs. Therefore, this paper aimed to evaluate the first year of a campus-wide COBRE-supported writing program. A convergent parallel mixed-methods design (QUAN + QUAL) was used. All writing program participants were invited to complete post-participation surveys, and a subgroup was selected using purposive sampling to complete individual semi-structured interviews. Descriptive statistics were used to characterize survey data, and qualitative content analysis was employed to analyze interview data. Self-determination theory served as the theoretical framework by which themes were developed and interpreted. Professional staff, post-doctoral fellows, and faculty from all academic ranks (n = 29) participated in the writing program during its first year. Survey respondents (n = 18, response rate 62%) rated social support (89%), group accountability (89%), hearing group members' writing goals (78%), receiving group advice (67%), and setting a weekly writing schedule (56%) as beneficial program components. Participants rated program benefits such as breaking away from other responsibilities, staying on task with writing goals, and receiving social support as most beneficial. During interviews, participants (n = 14) described five major themes related to the benefits received: 1) belonging to a community of writers; 2) managing writing-related emotions; 3) improved productivity; 4) establishing helpful writing habits; and 5) improved motivation for scholarly writing. This first-year programmatic evaluation demonstrates the writing program's effectiveness as a campus-level development resource supported by a research center. Both survey and interview data affirmed that participants perceived autonomy, competence, and relatedness were supported through participation in the writing program. Participants placed particular emphasis on the writing program's successful development of a community of scholarly writers.

Enhancing Employee Retention: The Impact of Training, Career Development and Remuneration Benefits in Selected Manufacturing Companies of Johor Bahru

The lack of employee retention programs is the most persistent difficulty in most organizations today. Employees are a crucial and precious asset for an organization for them to achieve their company goals and objectives. This has raised the demand for staff training programs, career development, and remuneration benefits in most organizations to ensure employee retention. The study aimed to identify the influence of employee training, career development, and remuneration benefits on employee retention in selected manufacturing companies in Johor Bahru, Malaysia. For data collection, a structured questionnaire was administered to 152 employees from seven departments of manufacturing companies in Johor Bahru. All the data was analyzed using SPSS statistics. The finding implies that career development appeared to be the most significant variable among all independent variables. Therefore, organizations should put more focus on the improvement of career development among their employees. Top management should emphasize career development and regularly offer training programs to gain employees’ interest in staying in the organizations. Top management should also highlight the importance and benefits of the career development programs and encourage them to join. This in turn enhances retention and increases productivity at selected manufacturing companies in Johor Bahru, Johor.

Sustainability and Environmental Performance in Selective Collection of Residual Materials: Impact of Modulating Citizen Participation Through Policy and Incentive Implementation

The effective management of urban waste represents a growing challenge in the face of demographic evolution and increased consumption. This study explores the impacts of municipal strategic decisions on household waste management behaviours and sustainability performance outcomes through agent-based modelling. Using data from Gatineau and Beaconsfield in Quebec, Canada, the model is calibrated and validated to represent diverse urban contexts. Our analysis demonstrates that reducing collection frequency leads to notable increases in participation rates, reaching 78.2 ± 5.1% for collections every two weeks and 96.5 ± 8.3% for collections every five weeks. While this reduction improves bin filling levels, it concurrently decreases the recovery of recyclable materials by 2.8% and 19.5%, significantly undermining the environmental benefits of the recycling program. These findings highlight a complex interplay between collection frequency, citizen participation behaviour, waste stream characteristics, and overall environmental performance. While reducing collection frequency initially appears beneficial, it leads to operational challenges and increased CO2 emissions due to reduced material recovery. The research emphasises the need for tailored holistic waste management strategies that optimise performance outcomes while minimising environmental impacts. By understanding these dynamics, municipalities can develop more effective waste management policies that promote sustainability.

Decreased variability in the site-specific results during participation in the External Quality Assurance Program Oversight Laboratory (EQAPOL) proficiency program for IFN-gamma enzyme-linked immunospot (IFN-γ ELISpot) assay

The NIAID DAIDS-sponsored External Quality Assurance Program Oversight Laboratory (EQAPOL) manages an interferon-gamma (IFN-γ) enzyme-linked immunospot (ELISpot) external proficiency program. The ELISpot program evaluates the accuracy and variability of results across laboratories. The variability in the program is quantified via the dispersion, which is the ratio of the variance over the mean of the background-corrected spot-forming cells (SFC) replicates obtained under stimulation with different peptide pools (CMV, CEF). This report includes the longitudinal analysis of the ELISpot program cohort composed of 22 laboratories from 2011 to 2022 to assess whether the within-lab variability has improved over time. Random intercept models of the dispersion over time showed a significant decrease in overall dispersion from an average of approximately 1.8 in 2011 to approximately 1.25 in 2022. Out of the 21 sites, 16 sites (4 being statistically significant) had a negative trend for dispersion over time. Our finding of a reduction of overall within-lab variability demonstrates the need for and benefit of proficiency testing programs.

Investigating the effects of a daily multidisciplinary intensive outpatient rehabilitation program on innovative biomarkers in people with Parkinson's disease: Study protocol for a phase III randomized controlled clinical trial.

To date, there has been no medication that has prevented the progression of Parkinson's disease (PD). Many benefits of intensive and multidisciplinary rehabilitation program for PD are supported by clinical, epidemiological, and experimental data. The main question is whether high-intensity motor and cognitive exercises have an effect on the disease's biological mechanisms. This study protocol is a Randomized Controlled Trial (RCT) designed to determine the efficacy of an experimental, intensive, and multidisciplinary treatment in comparison to a home-based self-treatment in improving biomolecular and functional parameters in PD. A total of 72 participants will be randomly allocated to two different groups, experimental (n = 36) and control group (n = 36). The rehabilitation program will last 6 consecutive weeks and will involve the execution of a total of 30 sessions, one for each day of the week from Monday to Friday. Participants allocated to the control group will carry out a home-based self-treatment program that includes muscle-stretching and active mobilization exercises for 40'/day for 6 consecutive weeks. The primary outcome measure is the effects of both treatments on a new set of molecular biomarkers such as oligomeric alpha-synuclein and neurotrophic factors measured in peripheral neural derived extracellular vesicles (NDEVs). Secondary outcomes will include changes of motor and non-motor symptoms, balance and gait performance and cognitive functioning. This RCT has been registered as "Intensive Multidisciplinary Rehabilitation and Biomarkers in Parkinson's Disease" on 30 May, 2022 to ClinicalTrials.gov with the Study ID number: NCT05452655. This rehabilitation program is believed to be crucial in modifying biomolecular and functional parameters in people with PD. We expect that this study will provide additional evidence to understand the impact of an aerobic and intensive rehabilitation program on brain plasticity in patients with PD.

The Economic Benefits of a Major Canadian Forestry Contribution Program for Indigenous Peoples

This paper evaluates whether the First Nations Forestry Program (FNFP), a contribution program for Indigenous Peoples in Canada, had a statistically measurable effect on the well-being of participating reserves’ inhabitants. Funding data from 1,078 projects was paired with reserve inhabitant profiles from two Statistics Canada censuses. Multiple regression models were then used to test for the statistical significance of project-funding treatments. The results suggest that from 2006 to 2010, the FNFP significantly affected the after-tax incomes of reserve inhabitants who had worked in forestry, as well as a lesser effect on the after-tax incomes of reserve families.

Exploring the effectiveness of the Career Guidance and Counseling Program on the perceived readiness for the job market: a lived experience among nursing students.

The current workforce demands that nursing graduates possess the necessary skills and knowledge to perform in complex clinical and professional environments. Career guidance can potentially improve students' job readiness by increasing their confidence in career pursuits, simplifying career decisions, and helping them address decision-making challenges. This phenomenological study aimed to explore nursing students and interns' perspectives on the effectiveness of the Career Guidance and Counseling Program (CGCP) and its impact on their readiness for the job market through their lived experiences while participating in the program. Data were collected through in-depth semi-structured interviews with a purposive sample of 28 Saudi university students and continued until data saturation was reached. Thematic analysis was used for the data analysis. Seven themes emerged: personal experiences with the CGCP, the program's importance, effectiveness, benefits, strengths, and weaknesses, and recommendations for improvement. Overall, participants expressed gratitude for the CGCP and believed that it would positively impact their future career success. They also felt that the program provided them opportunities to share ideas, information, and concerns, thereby improving their career decision-making and adaptability. The results show that CGCP positively affected participants' lives by providing support, guidance, and resources for informed career decision-making, developing essential career-related skills, and navigating career transitions. These findings have practical implications for nursing colleges implementing similar programs for better integration into the curriculum and for the continuity of such vital programs to help students. Future studies should explore this topic in different colleges and specialties.

Transformative Experiences During Short-Term Immersion Trips Abroad: An Examination of MSW Students in Panama and Italy

ABSTRACT Although several studies highlight the benefit of short-term immersion programs abroad among social work students, few studies have examined their transformative nature. In response, this study aimed to describe the transformative change experienced by MSW students from the Southwest USA who participated in a short-term, immersion program in either Panama or Italy. The structure of the program consisted of two components: a 10-week hybrid classroom during the semester and a 12–13 day, short-term immersion program during the summer. Content analysis was utilized to examine student reflections on the impact of the short-term study abroad experience in areas such as cultural awareness and humility, professional and personal growth, and the most impactful and transformative experiences. The results included the following themes: (1) Community, (2) Adaptation, (3) Empowerment/Inspiration/Transformation, &; (4) Culture. Implications for future research in this area are identified along with considerations for educators regarding planning, teaching, and/or leading the in-country experience to best support student transformation in short-term immersion programs abroad.

Revolutionizing Pharmacy Benefit Management: Cost-Reduction through Artificial Intelligence and Data Analytics in Healthcare

Pharmacy Benefit Managers (PBMs) are third party companies that function as intermediaries between insurance providers and pharmaceutical manufacturers. PBMs create formularies, negotiate rebates (discounts paid by a drug manufacturer to a PBM) with manufacturers, process claims, create pharmacy networks, review drug utilization, and occasionally manage mail-order specialty pharmacies. [1] Pharmacy benefit management (PBM) is important for keeping prescription drug costs under control. But the problem is that drug prices keep going up, which makes things tough for the healthcare industry. In this article, we look at how fancy technology like artificial intelligence (AI) and data analysis can help PBM find new ways to save money. By using advanced technology to study a large amount of information, PBMs can find patterns and make educated guesses about how to best use medications. Artificial intelligence makes this even more advanced by helping to quickly find and stop fraud, personalize medication plans, and predict costs more accurately. Remember this: AI and data analytics are being used to make pharmacy benefit programs work better. This helps save money and makes things better for patients. We look at how machine learning models can predict patient adherence, how natural language processing (NLP) can improve medication reviews, and how blockchain technology can keep supply chains transparent and secure. Real-world examples show how these technologies are already making a difference, such as cutting down on administrative work, reducing drug waste, and getting the most out of drug utilization. As more healthcare systems start using these advanced tools, it’s becoming clear that continual innovation and the inclusion of AI and data-driven methods are essential. This article highlights the importance of staying updated with the ever-changing ways of controlling prescription drug expenses by using new technology. For pharmacy benefit managers (PBMs) focused on offering the best value and working effectively despite increasing healthcare costs, adopting these advancements is not just a good choice, it's necessary.