Digital Product Development Research Articles

PENGEMBANGAN BUKU DIGITAL BERBASIS STEM MATERI PENCEMARAN TANAH KELAS VII SMPN 2 RAMBIPUJI

The purpose of the research is the development of STEM-based digital book media products in science subjects, especially soil pollution material that can be used and feasible as student learning media. The type of research is R&D (Research and Development) development using the 1999 Plomp model. Plomp’s design has three stages, namely from analysis, design and development, and evaluation. The trial on the digital book consisted of validity tests on material and media validators. Data analysis obtained from the validity test results from material experts showed that the book was very effective with an average score of 90%, while the validity test results from media experts showed that STEM-based digital books entered the effective criteria with an average score of 81,66%. Based on the results of the validity test above, the STEM-based digital book on soil pollution material is declared feasible to use.

Long-Arm Jurisdiction in Cross-Border Data Flows: EU-US Gaming and Balancing

In the era of digital economy, the power struggle and legal challenges arising from cross-border data flows have become increasingly prominent, making data governance a focal topic in the international community. Countries are competing and cooperating in formulating rules on cross-border data flows, as this phenomenon becomes more significant with the global popularity and rapid development of big data-based digital products like ChatGPT. As traditional powers in this field, the United States and the European Union have established long-arm jurisdiction systems with unique characteristics and have engaged in multiple rounds of fierce gamesmanship over dominance in global data flow governance standards, while constantly seeking power balance in bilateral cooperation. Through historical research, comparative analysis, and case studies, this paper analyzes and summarizes the governance principles, regulatory models, and competitive and compromising processes of transatlantic data flows, leading to the conclusion that Chinas data governance strategy should balance data security and data freedom, while transforming its approach to regulating data outflows and emphasizing the importance of efficiency values in maintaining data sovereignty. By expanding international cooperation and promoting the signing of regional data flow agreements, China can enhance its voice in the global data governance system.

Cost of illness in inclusion body myositis: results from a cross-sectional study in Germany

BackgroundInclusion body myositis (IBM) is the most frequent type of myositis in elder patients with a slow chronic progression and refractory to treatment. Previous cost of illness (COI) studies in IBM used claims data to estimate direct costs in the US. No evidence exists globally on both direct and indirect costs in IBM from a societal perspective. We conducted a survey in patients registered in the German IBM patient registry. Self-developed items were used to assess the utilized healthcare resources and estimate the cost. The German Self-Administered Comorbidity Questionnaire (SCQ-D), the sIBM Physical Functioning Assessment (sIFA) and patient-reported measures for satisfaction and improvements in healthcare were applied for an explorative analysis.ResultsIn total, 82 patients completed the survey. We estimated the mean total annual per capita COI of US$102,682 (95% CI US$82,763–US$123,090) in 2021. 92.7% of the total COI were direct costs. Medical costs were similar to nonmedical costs, with substantial costs for pharmacotherapy and informal care. Depending on the prevalence estimate, the total national COI per year were US$42.7 million–US$213.7 million. Significant differences in total COI were identified for the degree of disability, marital and employment status (p < 0.05).ConclusionsWe identified remarkable and heterogenous cost in IBM. As informal care costs represented the most relevant cost driver, caregiver burden is a major factor in the patient journey. For the first time, comprehensive economic potentials were identified as a basis to improve the actual care situations and prioritizing future activities for research, pharmaceutical and digital product development as well as health politics.

Modern approaches to digital product development in the conditions of market variability

Currently, the interest in design thinking in the world has made it possible to add many techniques and visual schemes that can solve various kinds of problems, including for building a strategy to achieve the company’s goals, its corporate spirit and the development of creative skills of its employees. Already today, it is possible to call the merit of design thinking the shift of emphasis in corporate goals to customer orientation, to the mobilization of collective intelligence to solve problems, to understanding the importance of empathy, creativity and entrepreneurship. A comparative analysis of existing design thinking frameworks is given, including from researchers of companies and design centers such as Hasso Plattner Institute of Design at Stanford University (d.school), The HPI-Stanford Design Thinking Research Program, Stanford d.school’s Design Thinking framework (IDEO), Google, Intel. Frameworks structure the process of design thinking in 5-6 phases: from empathy, when the needs and requests of consumers are studied, to testing an innovative product or service being created. The place of “design thinking” approach in the general concept of human-centered design is shown. The task of design thinking, the development of innovative products or services focused on human needs, is to provide a solution to a specific problem of a certain target audience. The paper outlines the principles of designing a digital innovative product. The five steps of designing a new product are described and the features of using various visualization techniques are given. The study uses such tools as the “Persona” model, Job Stories and User Stories frameworks. The creating process features of an innovative product based on the integration of design thinking, Lean Startup methodology and the theory of Jobs to Be Done are described. The life cycle of the innovation development “Creation – Evaluation – Training” is presented which is based on the process of validated learning. Changes in the outline of the business model in the lean startup methodology are presented. New segments have been added to the Lean Canvas business model – “Key Partners”, “Key Activities”, “Key Resources”, “Consumer Relations”.

К ПРОБЛЕМЕ ВЛИЯНИЯ ЦИФРОВЫХ СРЕДСТВ НА ПСИХИКУ ОБУЧАЮЩЕГОСЯ РЕБЁНКА

In the era of digital transformation of society and education, the mental development of a child goes differently than before. The purpose of the article is to briefly analyse the state of study of the problem of the influence of digital media on the cognitive development of pre-school and primary school age students. The analysis of foreign and domestic studies revealed the insufficiency, fragmentation and inconsistency of available data on the peculiarities of the cognitive sphere of students using digital media. Noting the impossibility of cancelling the sociocultural evolution of the psyche in the new digital environment, the prospect of systemic research into the child's mental development in the conditions of mixed reality on the basis of the working concept of digital socialisation is emphasised. The analysis of studies of the possible positive and negative effects of school education under conditions of digitalisation has shown the increasing cognitive inefficiency of this largely spontaneous practice. Since the digit itself is not capable of transforming information into knowledge and action, the transition to a properly organised digital education system requires the substantiation of the theory of effective digital learning and the development of digital educational products that offer new ways of organising students' attention, memory, thinking and communication, adequate to their age and psychological characteristics.

Developers' decision to navigate resource adversity in crowdfunded digital development projects

In a world where funding institutions and venture capitalists dominate the digital product development landscape, crowdfunding engages a global crowd to finance visionary ideas and address underrepresented needs. However, despite recognizing the challenges of managing crowd expectations, there is limited understanding of how developers navigate these challenges following the successful funding of their proposals. Drawing on a comparative, longitudinal, and in-depth grounded investigation, this study illuminates the prevalence of "resource adversity" within crowdfunded digital development projects. Resource adversity, characterized by scarcities of critical resources such as funding and human capital, affects crowdfunded development despite substantial support from a large crowd, potentially leading to complex outcomes. While adversity compels developers to seek additional funding and advocate for changes in various project aspects, this perspective departs from resource-centric viewpoints and emphasizes resourceful decisions to proactively establish resilience, resist precarious changes, and facilitate the release of high-quality products and post-adversity benefits. The perspective contributes to the dominant research focus on post-adversity decision-making and restoration by discussing connections across pre-adversity, adversity, and post-adversity stages. By focusing on preparedness and resourcefulness, the decision-making insights expand research on managing resource-limited development while meeting diverse stakeholder expectations. Moreover, the perspective enriches extant understanding of community-based innovation by elucidating how product improvisation, community resource engagement, and bricolage are interrelated and contribute to shaping evolving digital products. The article concludes by discussing practical implications for entrepreneurs and platform owners and by exploring avenues for future research.

Impact of Digital Technologies on Business Performance in Serbia

Research Question: The main goal of the study was to investigate the degree to which Serbian businesses accept and use digital technologies as part of the digital business transformation process. Motivation: The main aim was to research the specific determinants of the digital economy, digital technology and digital business transformation. Through an empirical analysis, digital technologies were classified as primary and secondary and the motive was to examine whether digital technologies affect revenue growth, productivity improvement, increase in market share, customer satisfaction and employee satisfaction, reduction in operating costs, development and use of digital products, digital market expansion and digital platform development. Idea: The main idea behind the study was to determine to what extent the said technologies are employed in Serbian businesses, as well as to develop a model of the impact of digital technologies on business performance, which may serve as a basis for further research. Data: The research was conducted from October 2020 to March 2021. A questionnaire was sent to over 500 email addresses of Serbian companies, and 98 questionnaires were filled in and duly returned. We displayed the most important characteristics of our sample and that way pointed out its randomness and representativeness and explained the choice of data analytics methods we use. Tools: The research instrument was a questionnaire including the general information (Part I). Part II included the question regarding the primary and secondary digital technologies used in their daily business activities. In Part III, the participants were required to state the specific outcomes their company expects to obtain as a result of digital business transformation. Findings: Mobile technologies, social networks and cloud computing were found to be dominantly employed technologies by the Serbian businesses from the sample. In percentage terms, the second class of disruptive technologies was shown to be insignificantly present in the Serbian companies. Finally, it appears that the role and importance of robotics and artificial intelligence have started to be recognised on the business scene. There is a significant impact of digital technologies on business performances, and we also give correlations between specific digital technologies and business performances, and intensity and statistical significance of impact in each case. We have also determined that some significant technologies make a latent, indirect impact on performances and shown the way that occurs. The analysis is performed after standardizing the ordinal scale values of variables making the results more accurate. Contribution: The paper provides the state of affairs regarding digital technologies use by Serbian businesses, as well as that of digital business transformation.

UTILIZING LEARNING PLATFORMS AND BEHAVIOR ANALYSIS OF STUDENTS IN COMPLETING ASSIGNMENTS

The era of the industrial revolution 4.0 is closely related to the use of technology. In its development, technology is integrated into various sectors, one of which is the education sector. The use of technology in the field of education is shown by the development of various digital products that facilitate students in the learning process. This research tries to identify the various platforms used by students in their learning process, especially in helping them with their coursework. In addition, this research also reveals the advantages and disadvantages of platforms that are considered by students in utilizing the platform. This research is a descriptive qualitative research involving students of Undergraduate Program of Islamic Education at Universitas Islam Indonesia from various years informants. The informant determination technique was carried out through a purposive sampling technique and data collected through interviews. Analysis of the data that has been collected is carried out through data reduction, data presentation, and drawing conclusions. The results of this study indicate that; 1) The platforms used by students can be grouped based on the type of task activities. In coordination and discussion activities, students generally use WhatsApp, Zoom, and Google Documents. In the activity of writing academic papes, many students use Google Scholar and Researchgate. Meanwhile, for designing presentation slides, the platforms that are widely used are Slidesgo, Genially, and Canva. Apart from that, students also use Adobe Premiere, Adobe Illustrator, Coreldraw, VN Editor, Figma, SPSS, and Google Classroom to work on assignments with special criteria. 2) The advantages of the various platforms are practical, easy to use, facilitate group coordination, flexibility, foster creativity, and interesting. While the disadvantages are that some platforms need to be paid, the features are limited, some tools are difficult to use, require high device specifications, and not all platforms can be accessed offline.

A systematic framework to improve the digital green innovation performance of photovoltaic materials for building energy system

Under the current ‘double carbon’ policy, the building materials manufacturing industry has seriously restricted the improvement of social and environmental benefits. Digital green innovation (DGI) in photovoltaic building materials enterprises (PBMES) plays a crucial role in solving the problems of high-quality environmental and economic development. In order to make the DGI of PBMES more effective, it is very critical to evaluate the performance of the DGI activities of PBMES. First, the evaluation index system is constructed. Then, it constructs the theoretical framework of the DGI performance evaluation of PBMES. After that, on the basis of combining various evaluation methods, a combination evaluation model based on compatibility and consistency was constructed and the convergence test and consistency test of the combination evaluation results were carried out by means of the variance method and Spearman rank correlation coefficient, which verified the scientificity and validity of the method. Finally, using the evaluation model, 16 PBMES were empirically studied. It reflected that the DGI performance evaluation index system of PBMES is composed of four indexes, namely, technology input, economic output, scientific and technological output, and social effect. The key factors affecting the DGI performance of PBMES are the investment in talent training, the proportion of digital technology in green products, the success rate of digital innovation product development increased by DGI cooperation, and the digital level of adopting environmental management system. This article combines consistency-based evaluation methods to not only obtain reasonable evaluation results, but also fully utilize multi-level methods to better describe the evaluation object. The means provided in this article are a new way to solve the DGI performance evaluation of PBMES.

Integrating Sustainability Metrics into Project and Portfolio Performance Assessment in Agile Software Development: A Data-Driven Scoring Model

In today’s rapidly evolving information technology sectors, agile methodologies have been employed by software development organizations to facilitate the large-scale, efficient, and swift development of digital products. Notably, it is a widely accepted principle that an increase in project delivery predictability results from more effective portfolio management. Despite the abundant resources within software engineering that address project management and agile development performance, the measurement of portfolio delivery performance integrating sustainability principles is under-researched. This paper aims to underline a solution to bridge this gap by proposing a data-driven scoring model explicitly designed for software firms to integrate sustainability metrics into their project and portfolio performance assessment. The model is primarily aimed at monitoring and enhancing delivery performance while also reinforcing the sustainability of the software development lifecycle. A thorough literature review was conducted to discern gaps in existing practices, followed by development of a scoring model melded with delivery and sustainability metrics seamlessly. Validated through a case study, the findings reveal that the model influences the performance and sustainability dynamics within software development entities. The insights gained from this study underscore the pivotal role of a harmonized delivery and sustainability metrics system in enhancing the sustainability and efficiency of software development undertakings.

Features of Applying Statistical Analysis in Modern Marketing

The article discusses the features of applying statistical analysis in marketing during digital transformation. After explaining the relevance of the study, the authors formulate the challenges of using statistical analysis in marketing, reveal the study goals, objectives, and tools, and provide an overview of the content of statistical analysis (at the company level). In modern Internet marketing, a large number of statistical indicators are used, such as CPC (cost per click), CTR (advertisement click-through rate), CPA (advertising cost), conversion rate, lead cost, and many others. However, according to the authors, the indicators used in most companies are not comprehensive enough. The paper notes that statistical analysis of the digital marketing domain uses several digital products, such as Google Analytics, Adobe Analytics, Mixpanel, Salesforce Analytics Cloud, and Looker. The more specific the information required for statistical analysis, the more the company strives to create its digital product for collecting, analyzing, and interpreting the most important data for marketing about hidden patterns in customer behavior, in their consumer journey, motives, and incentives for their choice. The uniqueness of the artificial intelligence algorithms used for this is ensured by the methods of classification, clustering, regression, and association analysis that are used in machine learning and statistical analysis for the automatic processing and analysis of large amounts of data. The article focuses on the specific results of improving marketing activities based on the development of statistical analysis amidst digital transformation arising from the introduction of digital technologies, and the development of digital products that ultimately give competitive advantages in a particular area of business.

Maximizing team development for open innovation in digital product development: the role of collaborative HRM and relational leadership

PurposeThe purpose of the study was to maximize team members' collaboration and develop relationships in a newly formed team to engage with internal and external partners to achieve open innovation (OI) in product development. The authors examine the role of collaborative human resource management (HRM) and relational leadership (RL) in this process.Design/methodology/approachThe study took a two-stage qualitative methodological approach to examine relational leadership as it emerges in a newly formed cross-functional team at a large German fashion house. In stage one, 10 interviews were conducted with members of the new project team over three months and in stage two six external knowledge exchange partners were interviewed.FindingsCollaborative HRM promotes greater social exchange, trust and commitment of team members internal and external to the organization to support the emergence of RL, which is critical for OI. The authors found that collaborative HRM practices such as team-based recruitment, team-based training, team-based performance management with rewards systems and job design support the emergence of RL. Moreover, RL practices such as congruence and commitment towards team goals subsequently promoted the development of knowledge sourcing and sharing (KSS) to support OI.Originality/valueThe study is the first to demonstrate how collaborative HRM enables RL practices to help newly formed teams overcome challenges with achieving KSS to successfully engage with internal and external partners for OI. The authors contribute to HRM theory development of the relationship between HRM and OI by conceptualizing the OI process as a social construction through collaborative HRM and relational leadership.

THE DIGITAL BANKING SERVICES: A SELECTION MODEL FROM ISLAMIC BANKS

The digital banking services which consist of internet banking and mobile banking have occupied an important role in the financial sector. Despite the importance of digital banking, Islamic banks in Indonesia have encountered issues with the adoption of digital banking such as budget constraints as well as sizable investment. Therefore, it is important to examine how to prioritize the selection of digital banking services in Islamic banking. This study aims to propose a model for prioritizing the selection of digital banking services in Islamic banking by applying document research through analyze way the paper or journals and other published sources concerning with the digital banking and product development in Islamic banking. While most of the studies conducted in the conventional banking, in this study the proposed model is built to address the Islamic banking. The proposed model comprisessix criteria and six alternatives of services that should be considered in the selection of digital banking services from Islamic banks perspective. The proposed model involves general criteria that presence in the general banking context (conventional banking or Islamic banking) and specification criteria which only presence in the Islamic banking namely Sharia (Al-Syari’ah). Therefore, the proposed model has characterized the model utilized for the Islamic Bank in prioritizing the services in digital banking.

LINKING DIGITAL B2B PLATFORM BUSINESS MODELS AND PRODUCT DEVELOPMENT: A BIBLIOMETRIC ANALYSIS AND LITERATURE REVIEW

AbstractDeveloping digital platform business models, especially in business-to-business (B2B) markets, has a high potential for companies who successfully develop their products in generations. The model of SGE - System Generation Engineering describes the development of mechatronic systems on subsystem level. The authors investigate to what extent a comprehensive and unified methodology can be identified, connecting the research areas of product development and digital B2B platform business models. Therefore, this study conducted a bibliometric analysis of scientific data to identify a research gap and a qualitative literature review to affirm the relevance of future research in this research area. The results show a gap between the research areas of digital B2B platform business models and product development. Essentially, several renowned platform researchers suggested performing future research with a methodology that fulfils the following purposes: (1) improve the general understanding of digital platforms, (2) understand their success factors and development, and (3) deal with challenges (e.g., monetization) and loss of valued personal relations in B2B markets through digitization.

Innovating the digital product development toolchain with digital twins at Helbling Technik AG

This teaching case examines how engineering consultants Helbling Technik AG overcame challenges in implementing a digital twin approach to mechatronics product development, saving costs, and reducing time to market. It challenges students to understand digital twins in mechatronic system development and their implications for processes, use cases, and service models. This real-world example is relevant for students and educators interested in the challenges and opportunities of digital twin implementation.

Integrating technology to support data management abstraction of adverse events (AE) and concomitant medications (ConMed) from the electronic health record (EHR) to sponsor electronic data capture (EDC) systems using design thinking (DT) methodology.

e13624 Background: Manual abstraction of data from a site’s EHR to pharmaceutical sponsor’s EDC system is labor intensive and inefficient. To reduce the time and effort of this process for data managers (DM), a web-based application, Clinical Trials Data Hub (CTDH), was developed using Design Thinking methods. It extracts and consolidates AE and ConMed data from the EHR and displays it in a user friendly, automated, and consolidated view for easy entry into EDC forms. Methods: Following DT methodology to develop CTDH, we interviewed 12 DMs to identify data entry bottlenecks, and ideated solutions for what is now CTDH. To evaluate CTDH’s value, we built a functioning prototype using Splunk and conducted pilot A/B testing with 6 DMs for 2 use cases (Case I: basic easy to find ConMed linked to the AE, and Case 2: complex, where the ConMed linked to the AE was buried in a 33-page document) using their current workflow (A) versus CTDH (B) where a 5-minute training of CTDH occurred prior to testing. We hypothesized that CTDH would outperform current workflows across 3 primary outcomes: 1) correct data identification, 2) time to identify data, and 3) using a modified Single Ease Question (SEQ) rating scale to assess how difficult users found the task. This study was conducted in Jan-Aug 2022 at a large single-center cancer hospital. Results: DMs spend ~20 hours/week on data entry; the majority of which is spent searching the EHR for which ConMeds are associated with an AE. A/B testing results are noted in Table I (see below). Use case 2 showed that DMs using CTDH reduced the time to find one ConMed linked to an AE by 148%, saving ~5 minutes in one task. 5 of 6 participants preferred CTDH to existing clinical systems. Conclusions: Our findings suggest that CTDH allows DMs to 1) identify AE and ConMed data required for EDCs more quickly than in current workflow, 2) identify data more accurately to be entered in sponsor EDCs, and 3) perceive the task of identifying this data to be easier. CTDH reduces the time DMs spend searching clinical systems and documents and has the potential to save meaningful time per patient per study. CTHD will launch into production in May 2023. Digital tool product development using DT methodology has the potential to improve operational efficiency and the clinical staff user experience. This is particularly important in an industry that has struggled with burnout, cost containment, and high turnover. [Table: see text]

Strategi Pemasaran Digital Usaha Mikro, Kecil, Dan Menengah Di Desa Batu Makap Kabupaten Murung Raya

This study aims to contribute knowledge about Indonesian consumer behavior and marketing strategies through social media that can help businesses increase their product sales in the increasingly competitive Murung Raya district market. A qualitative research method was used in this study. The research location is the Batu Makap Industrial Tourism Village in Murung Raya Regency. In Batu Makap village, researchers conducted structured interviews with respondents from SMEs and digital village managers. The existence of this information technology has an impact on existing markets and existing business agreements. Steps will be taken to introduce SMEs to digital marketing and attract them to participate in loan programs to use digital marketing techniques. In addition, MSME players will also learn about marketing strategies such as digital marketing, online shopping, and product development. Digital marketing enables marketing and selling products based on customer location. Some MSMEs have mastered using technology to sell their products. In developing a digital village in Makapu Village, Murung Raya District, digital marketing has enabled MSMEs to lead their marketing. Steps have been taken to introduce MSMEs to digital marketing and encourage them to participate in lending programs and use digital marketing techniques.&#x0D;

The impact of Industry 4.0 on the digital transformation of manufacturing enterprises in Ukraine

Purpose. To study the impact of Industry 4.0 on the current state of the digital transformation of the state’s industry and to substantiate promising directions of development. Methodology. The study used a systematic and comparative analysis to provide a comprehensive understanding of the current state of digital transformation of industry in Ukraine. Research on the impact of Industry 4.0 on digital transformation was based on the results of a statistical analysis of the effect and the potential annual effect of the introduction of the Internet of Things on industrial and construction sites. Also, the method of deduction, logical research, and a graphical way of presenting information were used to demonstrate the significant results of the study. Findings. In the process of research, the digital transformation of industry under the influence of Industry 4.0, which is accelerating, was considered. It has been proven that the digital transformation of Ukrainian enterprises must be carried out at several levels: in terms of industrial equipment, IT systems and internal business processes. Originality. The influence of Industry 4.0 on the digital transformation of industry in Ukraine is substantiated. Eight main levers of value creation due to the implementation of “Industry 4.0” technologies in production are highlighted: optimization of equipment operation modes; optimization of equipment loading; increasing productivity and labor safety; logistic optimization; improvement of product quality; improvement in demand forecasting; shortening the terms of bringing products to the market; improvement of after sales service. Recommendations were given to enterprises regarding the formation of industry partnerships for joint financing of projects, risk reduction, interaction with state bodies, technological companies and research centers, within which expert consulting centers are to be created. Practical value. The results of the research can be used by economists, scientists and practitioners for the development of further perspectives. Establishing strong horizontal ties with educational and research organizations, high-tech companies, as well as with public administration bodies will allow effective exchange of experience, development of joint innovative digital solutions, products and standards for a particular industry, adaptation of educational programs and development of skills in the application of digital technologies.

Organizational Inertia, Digital Capabilities, Digital Transformation, and Firm Competencies

Research Aims: This research aims to look at the impact of organizational inertia on digital capabilities and digital transformation to optimise firm competencies. Design/Methodology/Approach: The dataset was produced through a quantitative survey of 125 Indonesian businesses using the Structural Equation Model (SEM) to analyse the data. Research Findings: The results of this study indicate that digital capabilities and digital transformation indirectly impact business competencies due to organizational inertia. While organizational inertia affects digital capabilities but not digital transformation, the latter affects both a firm's skills. Theoretical Contribution/Originality: This study contributes to the literatures on organizational behaviour and strategic management by investigating the impact of organizational inertia on the achievement of digital transformation and its impact on firm competencies. Managerial Implication in the South East Asian context: The research findings embrace digital transformation practices by enhancing firms' digital capabilities, particularly in digital transformation response, digital opportunity identification, innovative digital technology product development, acquisition, and mastery of cutting-edge digital technologies. Research Limitation &amp; Implications: The findings of this study reflect the conditions of numerous enterprises operating in several industry sectors in Indonesia during the chaotic post-COVID-19 pandemic period. Furthermore, the survey respondents represent a diverse range of businesses at varying stages of digital transformation implementation. Keywords: Inertia, Digital Capabilities, Digital Transformation, Firm Competencies

User experience research in the development of digital health products: Research letter

BackgroundDigital health solutions are facing an increasing impact on healthcare. The current scientific focus is mainly set on clinical studies providing efficacy for different indications. In contrast to pharmaceutical therapy, user experience plays a major role in digital health. However, fundamental scientific knowledge about patient engagement, adoption and qualitative user experience of digital health solutions is missing. ObjectiveTo perform user experience design research for the development of a disease management platform for fibromyalgia-like post-COVID19 syndrome. To discuss relevant user experience and its current status in digital health products development. MethodsA literature review on PubMed and interviews with digital health stakeholders were performed. German registered digital health applications (DiGAs) for musculoskeletal indications were reviewed in terms of front-end design and navigation. An online user experience design survey about Patient Reported Outcomes (PROs) collection was sent to patients from a Swiss post-COVID19 patient association. ResultsThe literature documenting patient experience aspects in digital health is poor despite all stakeholders agreed on its importance, potentially also influencing efficacy of the therapies. Currently available DiGAs have a heterogeneous front-end design without clear user interface design or navigation strategy, respectively. Patient online surveys have shown to be easily feasible and effective tools for qualitative user experience research. Basic user experience research provided helpful guidelines for choices in design features for the purpose of the development of a digital health product. ConclusionsUser experience research as a tool in the patient-centric development of a digital health product provides valuable data. This data has the potential to help increase adoption and efficacy of the product. Further research studies are needed to clarify the role of user experience in digital therapies.