Personal Services Research Articles

Personalized care for complex lives: initial outcomes of a behaviorally-informed complex care intervention

Background5% of patients account for the majority of healthcare spend, but standardized interventions for this complex population struggle to generate return on investment. The aim of this study is the development and proof of concept of an adaptive intervention to reduce cost and risk of readmission for medically high-risk individuals with any behavioral health diagnosis.MethodsA behaviorally-oriented, personalized care service was delivered using a consultative, team-based approach including a physician, counselor, dietitian and social worker in collaboration with nurse care coordinators. Iterative re-conceptualizations informed tailored treatment approaches to prevent acute decompensation while retraining behaviors that impeded recovery. This service was offered to a small set of members of the employee health plan at University Hospitals Cleveland with an existing behavioral health disorder from November of 2020 to March of 2023. 26 members receiving the service were identified and matched with 26 controls using a risk algorithm. Members and controls were then classified as high utilizers (n = 14) or standard utilizers (n = 38) based on utilization claims data.ResultsPrimary outcomes of this study included medical expenditures (delineated as planned and unplanned spend) and readmission risk scores. Compared to risk-matched controls, both planned and unplanned health care expenditures significantly decreased (p < .05) for 7 high utilizers, and unplanned spend only significantly decreased for 19 standard utilizers (p < .05). Risk scores, which predict future spend, decreased significantly for standard utilizers (p < .05), but not for high utilizers.DiscussionThe value of a behaviorally-oriented personalized care intervention for medically high-risk patients in a commercial insurance population was demonstrated through decreased spend for high utilizers and decreased risk for standard utilizers. Further expansion, refinement, evaluation and scaling are warranted.

Key Informants' Visions and Solutions to Improve Home- and Community-Based Services for Older Adults and Persons With Dementia.

Recent decades have seen state successes in rebalancing Medicaid long-term care from institutional care (e.g., nursing homes) into home and community settings. However, significant barriers can prevent access to home and community-based services (HCBS) among older adults and persons with dementia. Qualitative research on potential innovations and solutions in the contemporary context with attention to a wider range of state-level policy contexts is limited. Drawing on interviews with 49 key informants including state Medicaid officials, HCBS providers, and advocates for persons with dementia across 11 states, we examined perceived solutions to barriers. Key informants articulated a range of potential solutions and innovations, ranging from tangible or realized policy changes to 'magic wand' solutions. Policy research has typically focused on the former; excluding the latter may miss opportunities to envision and design a more effective long-term care system for persons living with dementia and older adults.

Improving Performance of Customer Relationship Management to Leverage Customer Loyalty (Case Study: MILKY CRM Loyalty Program)

Customer Relationship Management (CRM) plays a crucial role for businesses as technology advances and consumer demands continue to rise. However, CRM implementation faces challenges from both external and internal factors within an organization. Ineffective CRM implementation can lead to customer dissatisfaction, decreased loyalty, reduced profitability, and missed business opportunities. This research aims to improve the MILKY CRM loyalty program by identifying the key root causes and proposing alternative solutions, ultimately determining the best alternative to enhance the program. The methodology includes in-depth interviews and analysis using the Kepner-Tregoe framework, which involves problem analysis, decision analysis, and potential problem analysis. Supported by external and internal analyses such as Porter’s Five Forces, Customer Journey Mapping, and an Integrated CRM Scorecard, the results are then utilized for a SWOT analysis. The problem analysis identified 21 attributes as the root causes affecting MILKY CRM loyalty program performance. These attributes include Consumer Behaviour Change, Aggressiveness of Competitors, CRM Agency Capability, Healthcare Apps Strategic Partnership, Potential New Segments generated by New Entrants, CRM Differentiation, Strong Brand Reputation, Content Management, Ability Services Program, Customer Engagement, Customer Experience Improvement, Win Back Lapsed Customers, Incomplete metrics tracking on CRM scorecard, Financial Budget Constraints, Personalization Services &amp; Rewards, Digital Acquisition Transition, Segmentation &amp; Tiering Review, Balancing Strategy on Customer Acquisition &amp; Retention, IT System Capabilities, and Human Capability on CRM. In the decision analysis section, alternative solutions were generated through TOWS analysis, and the best alternative was determined using the Analytical Hierarchy Process (AHP) tool. The top chosen strategy, Strategy #2: Optimizing CRM &amp; Organizational Strategies for Enhanced Customer Engagement &amp; Operational Efficiency (W/O Strategies), is recommended for future improvement. Focus areas include communication, resources, technology, and KPI metrics to mitigate potential problems. Overall, this research provides valuable insights and recommendations for enhancing the performance of the MILKY CRM loyalty program, ensuring its effectiveness in meeting customer needs and driving business success.

The Role of Time Zone Differences on Bilateral Service Flows from Kenya

ABSTRACT This study investigates the effect of time zone differences on service exports (total and nine categories—travel, transport, computer and information, construction, financial, insurance, government, other business services, and personal, cultural, and recreational services) from Kenya. Estimates from the Poisson Pseudo-Maximum Likelihood (PPML) estimator of the gravity model on bilateral service exports data from Kenya to 176 countries, for the period 2005–2019, show that the effects of time zone differences between Kenya and partner countries is positive and statistically significant in technology-sensitive service exports (computer and information) while negative for construction and government service exports. Further analysis shows that these results are robust when an alternative model is employed and overlapping workday hours are used. The authors also find that the effect of time zone differences on services is nonlinear and sensitive to regulations and physical infrastructure (particularly mobile subscriptions). Attracting investment in technology-sensitive sectors should be encouraged through appropriate policy, given the positive impact of time zone differences on their exports. Traders in these sectors can also create networks with foreign firms. Deregulating and developing information and communication infrastructure, to expand mobile subscriptions, should also be encouraged.

A Novel Blockchain-based Responsible Recommendation System for Service Process Creation and Recommendation

Service composition platforms play a crucial role in creating personalized service processes. Challenges, including the risk of tampering with service data during service invocation and the potential single point of failure in centralized service registration centers, hinder the efficient and responsible creation of service processes. This paper presents a novel framework called Context-Aware Responsible Service Process Creation and Recommendation (SPCR-CA), which incorporates blockchain, Recurrent Neural Networks (RNNs), and a Skip-Gram model holistically to enhance the security, efficiency, and quality of service process creation and recommendation. Specifically, the blockchain establishes a trusted service provision environment, ensuring transparent and secure transactions between services and mitigating the risk of tampering. The RNN trains responsible service processes, contextualizing service components and producing coherent recommendations of linkage components. The Skip-Gram model trains responsible user-service process records, generating semantic vectors that facilitate the recommendation of similar service processes to users. Experiments using the Programmable-Web dataset demonstrate the superiority of the SPCR-CA framework to existing benchmarks in precision and recall. The proposed framework enhances the reliability, efficiency, and quality of service process creation and recommendation, enabling users to create responsible and tailored service processes. The SPCR-CA framework offers promising potential to provide users with secure and user-centric service creation and recommendation capabilities.

Aksesibilitas Pelayanan Publik bagi Penyandang Disabilitas pada Pemerintah Daerah Kabupaten Tangerang

In this study, there is an identification of a gap between what is expected and the actual reality in the efforts of the Tangerang district government in fulfilling the rights of persons with disabilities. This gap, which is called das sein and das sollen, encouraged researchers to make a thesis on the issue. The purpose of this study is to provide a detailed description of the level of accessibility of public services available to individuals with disabilities within the Tangerang Regency local government. Zeithaml, Parasuraman, and Berry (as cited in Hardiansyah, 2018: 63) propose that to assess the quality of service actually perceived by consumers, there are specific indicators of service quality that can be categorised into five categories of service quality, namely tangible, reliability, responsiveness, assurance, and empathy. The results of this study have several points 1) Incomplete regulations or technical implementation standards for public services for persons with disabilities in the form of Tangerang Regent regulations as guidelines for the implementation of Tangerang Regency PERDA No. 11/2018 concerning the protection and fulfilment of the rights of persons with disabilities; 2) The attitude of government officials towards persons with disabilities The government is one of the important actors in the successful implementation of public service accessibility for persons with disabilities. 3) Attitudes of non-disabled people towards people with disabilities and people with disabilities towards non-disabled people In addition to the government as an important actor in the successful implementation of accessibility of public services for persons with disabilities, non-disabled people have an important part in the successful implementation of public service accessibility for persons with disabilities. Suggestions for the Tangerang Regency Government, especially public service providers from the executive branch, to immediately make a Tangerang Regent Regulation (PERBUP) regarding the fulfilment of the rights of persons with disabilities so that it can become a guideline and technical guidance for all public service providers.

Machine Learning for Evaluating Hospital Mobility: An Italian Case Study

This study delves into hospital mobility within the Italian regions of Apulia and Emilia-Romagna, interpreting it as an indicator of perceived service quality. Utilizing logistic regression alongside other machine learning techniques, we analyze the impact of structural, operational, and clinical variables on patient perceptions of quality, thus influencing their healthcare choices. The analysis of mobility trends has uncovered significant regional differences, emphasizing how the regional context shapes perceived service quality. To further enhance the analysis, SHAP (SHapley Additive exPlanations) values have been integrated into the logistic regression model. These values quantify the specific contributions of each variable to the perceived quality of service, significantly improving the interpretability and fairness of evaluations. A methodological innovation of this study is the use of these SHAP impact scores as weights in the data envelopment analysis (DEA), facilitating a comparative efficiency analysis of healthcare facilities that is both weighted and normative. The combination of logistic regression and SHAP-weighted DEA provides a deeper understanding of perceived quality dynamics and offers essential insights for optimizing the distribution of healthcare resources. This approach underscores the importance of data-driven strategies to develop more equitable, efficient, and patient-centered healthcare systems. This research significantly contributes to the understanding of perceived quality dynamics within the healthcare context and promotes further investigations to enhance service accessibility and quality, leveraging machine learning as a tool to increase the efficiency of healthcare services across diverse regional settings. These findings are pivotal for policymakers and healthcare system managers aiming to reduce regional disparities and promote a more responsive and personalized healthcare service.

Taxation Models and Improvement Proposals for Personal Income Tax in the Sharing Economy

As an innovative economic model, the sharing economy has seen rapid growth globally in recent years. It has not only brought a profound impact on traditional economies but also injected new vitality and momentum into the sustainable development of the social economy. However, for the sharing economy, the process of collecting personal income tax is facing several issues, such as the ambiguity of tax policies regarding personal income, challenges in identifying taxpayers, and difficulties in defining income. To achieve the fairness and efficiency of personal income tax collection in the sharing economy, this study proposes optimized regulatory mechanisms and conducts in-depth discussions on the adjustment of personal income tax policies, innovation in tax management technology, and improvement in the quality of personal income tax services.

On-Device Semi-Supervised Activity Detection: A New Privacy-Aware Personalized Health Monitoring Approach.

This paper presents an on-device semi-supervised human activity detection system that can learn and predict human activity patterns in real time. The clinical objective is to monitor and detect the unhealthy sedentary lifestyle of a user. The proposed semi-supervised learning (SSL) framework uses sparsely labelled user activity events acquired from Inertial Measurement Unit sensors installed as wearable devices. The proposed cluster-based learning model in this approach is trained with data from the same target user, thus preserving data privacy while providing personalized activity detection services. Two different cluster labelling strategies, namely, population-based and distance-based strategies, are employed to achieve the desired classification performance. The proposed system is shown to be highly accurate and computationally efficient for different algorithmic parameters, which is relevant in the context of limited computing resources on typical wearable devices. Extensive experimentation and simulation study have been conducted on multi-user human activity data from the public domain in order to analyze the trade-off between classification accuracy and computation complexity of the proposed learning paradigm with different algorithmic hyper-parameters. With 4.17 h of training time for 8000 activity episodes, the proposed SSL approach consumes at most 20 KB of CPU memory space, while providing a maximum accuracy of 90% and 100% classification rates.

Efecto de normas de persuasión en el servicio personal shopper

Some key disadvantages of online computer sales stem from unmet consumer expectations, insufficient product knowledge, and product returns. This study examined cognitive route factors and persuasive norms in online advertisements to determine the purchase intention of personal shopper services for laptops. Covariates included gender, educational level, marital status, prior shopping experiences, monthly income, and workplace location. The results approach indicate that peripheral route advertising messages positively impact the purchase intention of personal shopper services, especially among women. Findings also demonstrate that monthly income and educational level influence the purchase intention of laptops when aided by a personal shopper. It was found that women prefer personal shoppers providing clear responses, while men prefer those with technical knowledge. Additionally, women prefer to pay for the personal shopper service as 3% of the purchase value, whereas men favoured a single payment. Finally, the purchase intention for the personal shopper service is higher among women. The potential effects of advertising messages on the purchase intentionof the service are discussed.

Acumulación regulatoria y crecimiento económico

Nowadays, there is no consensus on the effects of regulation on economic growth. In this document, we analyze the relationship between regulation and economic growth for Colombia, using data on the accumulation of regulation and real GDP during the 1991 - 2019 period for 9 large productive sectors of the Colombian economy. Different models are estimated using time series and panel data techniques to present evidence at the economic sector level. The results show that, for some sectors, such as agriculture, forestry, fishing, mining, manufacturing, electricity, gas and water, commerce, restaurants and hotels, financial and business services and community, social and personal services, there exists an inverted U relationship between regulatory accumulation and GDP. These results offer important lessons for those responsible for the design and formulation of public policies on matters of regulatory improvement.

Digital Banking Transformation AI Enhances Efficiency And Customer Experience Seminar Perspective Industry

This study examines the transformative impact of artificial intelligence (AI) on operational efficiency in the Indonesian banking sector. It investigates how AI technologies enhance responsiveness to customer inquiries, streamline service processes, and improve overall customer satisfaction. Using a qualitative approach, the research integrates literature reviews, in-depth interviews, and case studies to comprehensively analyze AI adoption and its implications. The findings demonstrate that AI implementation not only boosts operational efficiency but also facilitates personalized customer service through advanced data analytics and AI-driven automation. The study emphasizes the importance of transparent AI algorithms and robust data protection measures to address ethical considerations and ensure adherence to Sharia principles. Insights from leading banks such as Bank Mandiri and Bank BRI highlight substantial reductions in operational costs and enhanced service capabilities following AI integration. This research contributes to a deeper understanding of AI's role in shaping contemporary banking services and provides strategic recommendations for optimizing AI applications in Indonesian banks.

PERSONAL ASSISTANCE AS A CONDITION FOR REALISING THE RIGHT TO LIVE INDEPENDENTLY FOR PEOPLE WITH DISABILITIES

The Draft Act on Personal Assistance, presented at the end of November 2023 by the President’s Chancellery, had been long awaited by the community of people with disabilities and their loved ones. Indeed, a systemic regulation of the assistance service as a public task funded from the state budget is one of the elements enabling people with disabilities to lead independent lives. The article aims to present the essence of the personal assistance service provided for in the bill as well as to attempt to evaluate the regulations adopted by the drafter. For now, this assessment will be very general, as a detailed, practical evaluation will, de facto, be possible only after the statute has been adopted and in force for at least a short time.

Automatisering av ekonomiskt bistånd

Standardising the Last Welfare Safety Net? RPA-support in Practical Work with Social Assistance in Sweden In recent years, the use of digital support systems in the administration of Swedish social assistance (SA) has become increasingly widespread. Current surveys show that around 10 percent of Swedish municipalities make use of so-called Robot Process Automation (RPA) in their everyday practice. As key arguments for the use of RPA-support, aspects such as unburdening employees of pure administrative tasks, as well as increased transparency and enhanced legal certainty for applicants, are often highlighted. The present paper presents results from a larger research project addressing the practical use of RPA-support in Swedish Personal Social Services. The analyses are based on cross-sectional quantitative data from 800 cases collected in four medium-sized Swedish municipalities. Half of the cases reflect assessment outcomes before RPA-support was implemented; the other half show outcomes after implementation. The paper aims, first, to describe the character and contents of the different RPA-tools utilised in municipalities. Second, the paper aims to describe and analyse the outcomes of SA decisions before and after the implementation of RPA-support, respectively. Our main findings are as follows: (a) while RPA can partially alleviate the administrative burden on social workers, human involvement remains essential for individual assessments; (b) even though the use of RPA-support does not establish any significant relation to the outcomes of SA eligibility assessments, the assessments are far less generous after the implementation of RPA than before; and (c) the changes in generosity are particularly notable with regard to applications outside of the National Benefit Standard, which is a strong predictor for the rejection of applications.

Exploring the Cost-Effectiveness of Newborn Screening for Metachromatic Leukodystrophy (MLD) in the UK.

Metachromatic leukodystrophy (MLD) is a fatal inherited lysosomal storage disease that can be detected through newborn bloodspot screening. The feasibility of the screening assay and the clinical rationale for screening for MLD have been previously demonstrated, so the aim of this study is to determine whether the addition of screening for MLD to the routine newborn screening program in the UK is a cost-effective use of National Health Service (NHS) resources. A health economic analysis from the perspective of the NHS and Personal Social Services was developed based on a decision-tree framework for each MLD subtype using long-term outcomes derived from a previously presented partitioned survival and Markov economic model. Modelling inputs for parameters related to epidemiology, test characteristics, screening and treatment costs were based on data from three major UK specialist MLD hospitals, structured expert opinion and published literature. Lifetime costs and quality-adjusted life years (QALYs) were discounted at 1.5% to account for time preference. Uncertainty associated with the parameter inputs was explored using sensitivity analyses. This health economic analysis demonstrates that newborn screening for MLD is a cost-effective use of NHS resources using a willingness-to-pay threshold appropriate to the severity of the disease; and supports the inclusion of MLD into the routine newborn screening programme in the UK.

Analysis of visual communication elements in variable font design from the perspective of digital technology

With the maturity of digital technology, the effectiveness of information transmission has received extensive attention. Variable font design is regarded as an extension of graphic design in digital media art, and variable font design is studied from the perspective of information communication design. From the perspective of digital technology, based on the research theory of variable information communication design, combined with the specific methods of font design, the perception, cognitive methods, and aesthetic laws of aesthetic subject vision and psychology in the field of font variable design are discussed. Provide relevant theoretical support for information communication design activities with variable fonts. Based on artificial intelligence technology, a new interactive art expression method is proposed. By analyzing the main expression scenarios of interactive art, namely user information communication scenarios, interactive art push scenarios, interactive art promotion scenarios and personal service scenarios, it provides a scenario application basis for interactive expression, calculate the space complexity, space complexity and resource complexity, according to the complexity calculation results, carry out interaction design from three aspects of visual elements, multimedia elements, and human-computer interaction elements, integrate the topology structure after the interaction is realized, and in the network topology structure. The proposed model consists mainly of visual design, basic design elements, basic visual design, complete design and solution generation. It realizes the expression of interactive art of multimedia elements in display and control. The experimental results show that the interactive element extraction speed of the visual communication expression method based on artificial intelligence technology is increased by 30%, and the flexibility is stronger.

POSTER AS A TOOL FOR DIGITALIZATION OF THE MANAGEMENT SYSTEM OF HOTEL AND RESTAURANT BUSINESS ENTERPRISES

In the basis of the development of modern business, digital transformations have acquired primary importance. The stability of the business, and in general its ability to function, is determined by the level of digitalization. The integration of basic business development tools is considered through the prism of automation, robotics and digitization. In the field of hotel and restaurant business, digital technologies have become the most effective tool for implementing business tasks and solving problems of the control system, constant monitoring and management. The main trajectory of the automation of hospitality enterprises through the prism of the introduction of cloud technologies into business has become the use of software products. Cloud automation systems, in particular the Poster program, serve as a modern tool for accounting, control and business management. The Poster program (system) was the first cloud-based automation system developed in Ukraine to serve hotel and restaurant businesses. This software product has become a successful modern initiative, which is used with pleasure by twenty thousand hospitality establishments. When the enterprise implements this cloud technology, the approach to the organization and conduct of business has completely changed, the management system has acquired a completely new dimension. Important functions of the module have become such as: cash register for waiters with integrated hall cards; the Kitchen Kit application from Poster with a screen in the kitchen/bar, or with a system of runners; automation of the restaurant delivery service to work with orders from aggregators or personal delivery service; Poster mobile cash register; Poster QR for automatic menu creation in Poster-POS, quick payment, the possibility of tipping the waiter, leaving guest reviews, etc.; the Poster Boss app with the ability to work on a smartphone and more. The convenience of working with the Poster software is manifested in its simplicity and easy accessibility for staff training, since even intuitively, in an hour of work with this cloud technology, you can already work freely. The ability to work with cash register modules for sales and a control panel for owners makes the Poster software product both unique due to its multifunctionality and system, and easy to use. The statistics module automatically summarizes revenue data when the check is closed at the cash register. In the process of selling a finished product or service, ingredients (inventories) are written off from the warehouse according to technological maps developed by the institution. The multifunctionality of the Poster program makes running a hotel and restaurant business more efficient, as convenient as possible in management and acts as a high-quality database for making effective management decisions. The complexity and systematicity of this cloud technology brings the innovative orientation of hospitality enterprises to a new level.

The efficacy of self-monitoring of blood glucose (SMBG) intervention package through a subscription model among type-2 diabetes mellitus in Malaysia: a preliminary trial

BackgroundThe aim of this study was to determine the effect of a Self-Monitoring Blood Glucose (SMBG) intervention package through a subscription model in improving HbA1c and health parameters among type-2 diabetes mellitus (T2DM) individuals in Malaysia.MethodsThis is a quasi-experimental study involving a total number of 111 individuals with T2DM (mean age 57.0 ± 11.7 years, 61% men) who were assigned to intervention (n = 51) and control (n = 60) groups. The intervention group participants were the subscribers of SugO365 program which provided a personalized care service based on self-recorded blood glucose values. Subscribers received a Contour® Plus One glucometer which can connect to Health2Sync mobile app to capture all blood glucose readings as well as physical and virtual follow up with dietitians, nutritionists, and pharmacists for 6 months. Outcome measures were body weight, body mass index (BMI), random blood glucose (RBG), glycated haemoglobin (HbA1c) and health-related quality of life (HRQoL, assessed by SF-36 questionnaire). Data were measured at baseline, third and sixth months.ResultsRepeated-measure analysis of covariance showed significant improvement in HbA1c level (ƞp2 = 0.045, p = 0.008) in the intervention (baseline mean 7.7% ± 1.1%; end mean 7.3% ± 1.3%) as compared to control (baseline mean 7.7% ± 0.9%; end mean 8.1% ± 1.6%) group. Similar trend was observed for Role Emotional domain of the quality of life (ƞp2 = 0.047, p = 0.023) in the intervention (baseline mean 62.8 ± 35.1, end mean 86.3 ± 21.3) compared to control (baseline mean group 70.5 ± 33.8; end mean 78.4 ± 27.3) group. Negative association was found in HbA1c changes using Z-score and Physical Function domain (r = − 0.217, p = 0.022).ConclusionA 6 months SMBG intervention package through a subscription model improved blood glucose control as measured by HbA1c and health-related quality of life, particularly the Role Emotional domain. Elevated HbA1c levels are correlated with decreased physical function.There is a need to further examine the efficacy of SMBG intervention package using a larger sample and a longer period of intervention and to determine its cost efficacy.

A Paper Presentation On Review of Mobile (Personal) Services of Indian/International Brands, Its Service Application and Implications

A Paper Presentation On Review of Mobile (Personal) Services of Indian/International Brands, Its Service Application and Implications

Impact of Digitalization on Personal Banking Services

Impact of Digitalization on Personal Banking Services