product development

Leveraging Patient-Generated Data for Better MS Care

We explored how healthcare professionals (HCPs) perceive and utilize patient-generated health data (PGHD) from mobile health (mHealth) solutions in managing multiple sclerosis (MS). Through interviews and participatory workshops, we found that HCPs valued subjective data, such as patient habits, lifestyles, and fatigue-inducing activities, but faced challenges in making this data actionable. These findings highlight the potential of mHealth in fostering...

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Emerging Personalization Elements in Finnish Primary Healthcare

We explored how healthcare professionals in Finnish primary healthcare integrate personalization into their practices, focusing on the role of information technology (IT). Through semi-structured interviews, we identified three themes: enablers such as electronic health records and clinical guidelines, service delivery practices like baseline assessment and progress monitoring, and the incorporation of patient characteristics, including habits, life situations, and motivation. Our...

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Personalizing Physiotherapy Through Data-Driven Posture Scanning

We investigated how digital posture scanning data can enhance and personalize physiotherapy services. Through a case study of a posture scan recording system (PSRS), we identified three key roles of posture scanning: diagnosing conditions, visualizing data for shared decision-making, and evaluating treatment impact. These findings illustrate how integrating digital tools into care pathways can empower both patients and professionals in...

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Detecting Gamification in Breast Cancer Apps: An Automated Screening Tool

We developed a predictive model to automatically detect gamification elements in breast cancer mobile apps, addressing the lack of scalable methods for analyzing large datasets. Using titles and descriptions from app stores, our model achieved high accuracy (85% ROC) in identifying gamified apps. This tool enables researchers to efficiently screen apps for gamification, supporting further exploration of its role in...

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Motivating mHealth Design for Chronic Conditions: The 3MD Model

I developed the Model for Motivational Mobile-health Design (3MD), a conceptual framework to guide the creation of gamified mHealth solutions for chronic conditions. By integrating condition-specific insights, motivational strategies, and technological capabilities, 3MD provides designers with a structured approach and illustrative design questions to enhance user engagement and health outcomes. (more…)

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Designing Chatbots for Depression Screening: Lessons from Research and Practice

We explored the design of chatbots for depression screening, leveraging advancements in natural language processing and artificial intelligence. Using a research-through-design approach, we developed a chatbot prototype that integrates the Patient Health Questionnaire (PHQ-9), a validated depression screening tool. Our findings emphasize the importance of ethical considerations, tailored personality design, effective conversational flow, and predictability to ensure safety and user...

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Exploring Mobile Apps for Multiple Sclerosis: A Systematic Review

We conducted a systematic review of mobile applications for individuals with Multiple Sclerosis (MS) to understand the current landscape of these digital tools. Searching major app stores, we identified 25 relevant apps from over 1,600 initial results. Most apps focused on providing information about MS and its treatments, with limited features supporting disease management or patient support. Our findings highlight...

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Standardizing Kidney Donor Education: A Digital Solution

We evaluated the Living Donor Digital Care Path (LD-dcp), an interactive health technology tool designed to standardize the informed consent process for living kidney donors. Over three years, the tool demonstrated high usability and engagement, effectively educating donors about the medical, psychological, and procedural aspects of kidney donation. While it supported standardized information delivery, its role in influencing donor decisions...

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Adopting Smart Health Technologies in Dementia Care: Insights and Recommendations

We explored the factors that influence the adoption of smart health technologies by people with dementia and their informal caregivers. Through a scoping review of 109 studies, we identified key barriers and facilitators, ranging from design challenges to ethical concerns. Based on these insights, we proposed the DemDesCon framework, which outlines essential design considerations for creating effective s-Health solutions for...

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Do mHealth Apps for Multiple Sclerosis Meet Patient Needs?

We assessed how well mobile health apps meet the needs of people with multiple sclerosis (MS). From a systematic review of app stores, we identified 30 apps focused on MS. While many offered patient education and data visualization, critical features like energy management, remote monitoring, and gamification were largely absent. Our findings suggest that current MS mHealth apps fall short...

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