Digital Health Technologies Research Articles

Challenges of asthma therapy adherence in adolescents and solutions (literature review)

Introduction. Asthma is a globally significant non-communicable disease with serious public health implications, affecting both children and adults. It includes high morbidity and mortality rates in severe cases. Understanding the reasons for decreased adherence to asthma therapy in adolescents remains a pressing issue for physicians across various specialties. It is important to analyze the challenges faced by young people that lead to ineffective asthma control.Aim. To review the latest literature to understand the driving factors behind non-adherence to treatment regimens in adolescents with asthma, their consequences, and potential solutions to ensure better disease control.Materials and methods. A systematic search was conducted in electronic databases including PubMed, Cochrane Library, Elsevier, Embase, Wiley, and CyberLeninka. The planned search depth was 2019-2024, using keywords: adherence to therapy in adolescents, asthma, therapy control.Results. The literature review discusses the unique aspects of adherence to asthma therapy in adolescence, along with programs and methods successfully used to optimize medical care for adolescents with asthma.Conclusion. The course of asthma during adolescence changes due to various factors: hormonal changes, the child's desire for separation from parents, fear of being different from peers, increased societal and school demands, stress, and psychological characteristics. Consequently, researchers from various countries are developing methods to improve therapy adherence and asthma control, such as educational programs in schools, the use of digital health technologies, and even financial incentives for adolescents. Implementing modern methods to enhance medical care for young people with asthma may help reduce mortality rates in this age group.

Exploring the perspectives of health care professionals on digital health technologies in pediatric care and rehabilitation

BackgroundDigital health technologies are increasingly used by healthcare professionals working in pediatric hospital and rehabilitation settings. Multiple factors may affect the implementation and use of digital health technologies in these settings. However, such factors have not been identified in a multidisciplinary, pediatric context. The objective of this study was to describe actual use and to identify the factors that promote or hinder the intention to use digital health technologies (mobile learning applications, virtual/augmented reality, serious games, robotic devices, telehealth applications, computerized assessment tools, and wearables) among pediatric healthcare professionals.MethodsAn online survey evaluating opinions, current use, and future intentions to use digital health technologies was completed by 108 professionals at one of Canada’s largest pediatric institutes. Mann-Whitney U tests were used to compare the attitudes of healthcare professionals who intend to increase their use of digital health technologies and those who do not. Linear regression analyses were used to determine predictors of usage success.ResultsHealthcare professionals reported mostly using mobile and tablet learning applications (n = 43, 38.1%), telehealth applications (n = 49, 43.4%), and computerized assessment tools (n = 33, 29.2%). Attitudes promoting the intention to increase the use of digital health technologies varied according to technology type. Healthcare professionals who wished to increase their use of digital health technologies reported a more positive attitude regarding benefits in clinical practice and patient care, but were also more critical of potential negative impacts on patient-professional relationships. Ease of use (β = 0.374; p = 0.020) was a significant predictor of more favorable usage success. The range of obstacles encountered was also a significant predictor (β = 0.342; p = 0.032) of less favorable evaluation of usage success. Specific factors that hinder successful usage are lack of training (β = 0.303; p = 0.033) and inadequate infrastructure (β = 0.342; p = 0.032).ConclusionsWhen working with children, incorporating digital health technologies can be effective for motivation and adherence. However, it is crucial to ensure these tools are implemented properly. The findings of this study underscore the importance of addressing training and infrastructure needs when elaborating technology-specific strategies for multidisciplinary adoption of digital health technologies in pediatric settings.

Exploring the impact of digital distrust on user resistance to e-health services among older adults: the moderating effect of anticipated regret

This study investigates the factors influencing user resistance to e-health services among older adults, focusing on the role of information inequality, digital distrust, low self-efficacy, perceived risk, and social influence. Structured questionnaires were used to gather data from 301 older adult participants, and the structural equation modeling method was used to analyze the results. The results show that digital distrust, perceived risk, and user resistance have a significant positive relationship, underscoring the significance of resolving trust and risk concerns in e-health interventions. The study also finds that the association between digital distrust and user resistance is moderated by anticipated regret, indicating that people who anticipate regretting not adopting electronic health services are less likely to oppose digital technologies despite their distrust. Surprisingly, the study did not find support for the hypothesized relationship between information inequality and user resistance, indicating the need for further exploration of this complex relationship. The study contributes to a better understanding of the factors influencing user resistance to e-health services among older adults, offering valuable insights for policymakers and practitioners seeking to promote the adoption of digital health technologies in aging populations.

Epistemic inequality in the digital era: Unpacking biases in digital mental health

This article examines biases in digital mental health and their impact on technical, social, and political systems. Rising health expenditures and the politics of public health have increased individuals’ responsibility for managing their own health. Global e-health initiatives promise mental health metrics through digital technologies. However, obstacles such as neo-colonial workings of the global economy, embedded biases in technology, and exclusion of psychological therapeutic approaches hinder the digital shift in mental health. This article analyzes the ecosystem of digital mental health technologies, challenging assumptions about psychological normality and algorithmic bias. It explores issues in individualized digital healthcare, cultural biases in psychological assessments, and disciplinary biases in psychology and psychotherapy integrated into digital health tools. By exposing biases and power dynamics, the article emphasizes the need for ethical considerations and offers insights into the potentials and limitations of mental health technologies.

User Experience of a Large-Scale Smartphone-Based Observational Study in Multiple Sclerosis: Global, Open-Access, Digital-Only Study.

The Floodlight Open app is a digital health technology tool (DHTT) that comprises remote, smartphone sensor-based tests (daily activities) for assessing symptoms of multiple sclerosis (MS). User acquisition, engagement, and retention remain a barrier to successfully deploying such tools. This study aims to quantitatively and qualitatively investigate key user experience (UX) factors associated with the Floodlight Open app. Floodlight Open is a global, open-access, digital-only study designed to understand the drivers and barriers in deploying a DHTT in a naturalistic setting without supervision and onboarding by a clinician. Daily activities included tests assessing cognition (Information Processing Speed and Information Processing Speed Digit-Digit), hand-motor function (Pinching Test and Draw a Shape Test), and postural stability and gait (Static Balance Test, U-Turn Test, and Two-Minute Walk Test [2MWT]). All daily activities except the 2MWT were taken in a fixed sequence. Qualitative UX was studied through semistructured interviews in a substudy of US participants with MS. The quantitative UX analysis investigated the impact of new UX design features on user engagement and retention in US participants for 3 separate test series: all daily activities included in the fixed sequence (DA), all daily activities included in the fixed sequence except the Static Balance Test and U-Turn Test (DAx), and the 2MWT. The qualitative UX substudy (N=22) revealed the need for 2 new UX design features: a more seamless user journey during the activation process that eliminates the requirement of switching back and forth between the app and the email that the participants received upon registration, and configurable reminders and push notifications to help plan and remind the participants to complete their daily activities. Both UX design features were assessed in the quantitative UX analysis. Introducing the more seamless user journey (original user journey: n=608; more seamless user journey: n=481) improved the conversion rate of participants who enrolled in the study and proceeded to successfully activate the app from 53.9% (328/608) to 74.6% (359/481). Introducing reminders and push notifications (with reminders and notifications: n=350; without reminders and notifications: n=172) improved continuous usage time (proportion of participants with ≥3 consecutive days of usage: DA and DAx: ~30% vs ~12%; 2MWT: ~30% vs ~20%); test completion rates (maximum number of test series completed: DA: 279 vs 64; DAx: 283 vs 126; 2MWT: 302 vs 76); and user retention rates (at day 30: DA: 53/172, 30.8% vs 34/350, 9.7%; DAx: 53/172, 30.8% vs 60/350, 17.1%; 2MWT: 39/172, 22.6% vs 22/350, 6.2%). Inactivity times remained comparable. The remote assessment of MS with DHTTs is a relatively nascent but growing field of research. The continued assessment and improvement of UX design features can play a crucial role in the successful long-term adoption of new DHTTs.

Digital-Focused Approaches in Cancer Patients’ Management in the Post-COVID Era: Challenges and Solutions

The COVID-19 pandemic has significantly accelerated the adoption of telemedicine and digital health technologies, revealing their immense potential in managing cancer patients effectively. This article explores the impact of recent technological developments and widened consumer perspectives on personalised healthcare and patient awareness, particularly in oncology. Smartphones and wearable devices have become integral to daily life, promoting healthy lifestyles and supporting cancer patients through remote monitoring and health management. The widespread use of these devices presents an unprecedented opportunity to transform clinical trials and patient care by offering convenient and accessible means of collecting health data continuously and non-invasively. However, to fully harness their potential, it is crucial to establish standardised methods for measuring patient metrics to ensure data reliability and validity. This article also addresses the challenges of integrating these technologies into clinical practice, such as cost, patient and professional reluctance, and technological oversaturation. It emphasises the need for continuous innovation, the development of robust digital infrastructures, and the importance of fostering a supportive environment to integrate these advancements permanently. Ultimately, the convergence of technological innovation and personalised healthcare promises to enhance patient outcomes, improve quality of life, and revolutionise cancer management in the post-COVID era.

Comparing Email Versus Text Messaging as Delivery Platforms for Supporting Patients With Major Depressive Disorder: Noninferiority Randomized Controlled Trial.

The prevalence of major depressive disorder (MDD) poses significant global health challenges, with available treatments often insufficient in achieving remission for many patients. Digital health technologies, such as SMS text messaging-based cognitive behavioral therapy, offer accessible alternatives but may not reach all individuals. Email communication presents a secure avenue for health communication, yet its effectiveness compared to SMS text messaging in providing mental health support for patients with MDD remains uncertain. This study aims to compare the efficacy of email versus SMS text messaging as delivery platforms for supporting patients with MDD, addressing a critical gap in understanding optimal digital interventions for mental health care. A randomized noninferiority pilot trial was conducted, comparing outcomes for patients receiving 6-week daily supportive messages via email with those receiving messages via SMS text message. This duration corresponds to a minimum of 180 days of message delivery. The supportive messages maintained consistent length and structure across both delivery methods. Participants (N=66) were recruited from the Access 24/7 clinic in Edmonton, Alberta, among those who were diagnosed with MDD. The outcomes were measured at baseline and 6 months after enrollment using the Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), and the World Health Organization Well-Being Index (WHO-5). Most of the participants were females (n=43, 65%), aged between 26 and 40 years (n=34, 55%), had high school education (n=35, 58%), employed (n=33, 50%), and single (n=24, 36%). Again, most participants had had no history of any major physical illness (n=56, 85%) and (n=61, 92%) responded "No" to having a history of admission for treatment of mood disorders. There was no statistically significant difference in the mean changes in PHQ-9, GAD-7, and WHO-5 scores between the email and SMS text messaging groups (mean difference, 95% CI: -1.90, 95% CI -6.53 to 2.74; 5.78, 95% CI -1.94 to 13.50; and 11.85, 95% CI -3.81 to 27.51), respectively. Both supportive modalities showed potential in reducing depressive symptoms and improving quality of life. The study's findings suggest that both email and SMS text messaging interventions have equivalent effectiveness in reducing depression symptoms among individuals with MDD. As digital technology continues to evolve, harnessing the power of multiple digital platforms for mental health interventions can significantly contribute to bridging the existing treatment gaps and improving the overall well-being of individuals with depressive conditions. Further research is needed with a larger sample size to confirm and expand upon these findings. ClinicalTrials.gov NCT04638231; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8552095/.

The Global Burden of HIV and Progress toward the 2030 UNAIDS Targets: A Comprehensive Review

The Human Immunodeficiency Virus (HIV) epidemic, since its emergence in the early 1980s, claimed millions of lives and remained a significant global public health challenge. As of 2023, approximately 38.4 million people were living with HIV, with Sub-Saharan Africa and key populations disproportionately affected. In response, the international community had set ambitious targets to end the AIDS epidemic by 2030, encapsulated in the UNAIDS 95-95-95 goals. This comprehensive review, conducted through a synthesis of current literature and global data, assessed the global burden of HIV, the progress made toward achieving these targets, and the challenges that threatened this progress. The review also explored opportunities and innovations, including advances in HIV prevention, integration of services, community-led approaches, digital health technologies, and innovative financing models. Addressing the identified challenges and leveraging these innovations were crucial to achieving the 2030 targets. The article concluded that while substantial progress has been made, a renewed commitment to equity and human rights is essential for ending the AIDS epidemic as a public health threat by 2030. Keywords: HIV epidemic, UNAIDS 2030 targets, Global health, Antiretroviral therapy (ART), Prevention and innovation.

Applying a “medical deserts” lens to cancer care services in the North-West region of Romania from 2009 to 2022 – a mixed-methods analysis

BackgroundMedical deserts pose significant challenges to healthcare systems worldwide, leading to unmet healthcare needs and exacerbated health issues, particularly in underserved regions.MethodsThis study aims to characterise cancer care services in the North-West region of Romania through the lens of medical desertification, employing a mixed-methods approach.Quantitative analysis – descriptive statistics – of secondary data from the Activity of Healthcare Units reports from 2009 to 2022, along with qualitative data – thematic analysis – from interviews with cancer patients and healthcare professionals, were employed to uncover the current state of cancer care in Romania.ResultsThe qualitative analysis highlighted the prevalence of medical deserts in oncology, with inadequate human resources, facility deficiencies, prolonged waiting times, high costs, and socio-cultural barriers hindering access to cancer care.Opportunities for action include revising treatment protocols, enhancing palliative care, implementing prevention strategies, promoting collaboration among healthcare professionals, and digitalising the healthcare system. However, challenges persist, including a shortage of oncology specialists, geographical disparities in cancer prevalence, and limited access to advanced treatment modalities in rural areas.ConclusionsAddressing medical deserts in cancer care requires comprehensive approaches, including strategic resource allocation, workforce development, infrastructure investments, access to innovative treatments, and digital health technologies. Collaboration among policymakers, healthcare providers, and communities is crucial to mitigating medical deserts and improving cancer outcomes.Despite limitations, this study provides valuable insights into cancer care services and underscores the need for concerted efforts to overcome medical desertification and ensure equitable access to high-quality cancer care.

Intention to use personal health record system and its predictors among chronic patients enrolled at public hospitals in Bahir Dar city, northwest Ethiopia: using modified UTAUT2 model.

Chronic diseases are the leading causes of death in the world. In sub-Saharan Africa, it leads to more mortality than almost every other region in the world. Currently, digital health technology like personal health records plays a crucial role in managing patients with chronic diseases. In low-resource countries like Ethiopia, it is uncertain how many chronic patients intend to use PHRs and the accompanying circumstances. Hence, the aim of this study was to assess chronic patients' intention to use PHRs and its predictors enrolled in public health hospitals in Bahir Dar city, northwest Ethiopia. An institutional-based cross-sectional study was conducted among 924 respondents from April 5 to May 9, 2023, in Bahir-Dar city public hospitals. A stratified sampling technique followed by a systematic sampling technique was applied to select the study participants. An interviewer-administrated questionnaire was conducted using Kobo Collect. A UTAUT2 model was applied to develop theoretical frameworks. SPSS version 25 software was used to estimate the descriptive statistics, and the structural equation model analysis was used to evaluate model constructs using AMOS version 21 software. In this study, a total of 908 study subjects participated. The proportion of chronic patients' intention to use PHR was 46.7% [95.0% CI (43.4-50.1)]. According to the findings, performance expectancy (β = 0.259, p-value <0.001), effort expectancy (β = 0.214, p-value <0.001), social influence (β = 0.174, p-value <0.001), and facilitating condition (β = 0.114, p-value <0.01) had a significant effect on the intention to use PHRs. Generally, the overall intention to use PHR was low. Our finding illustrates that the effects of performance expectancy, effort expectancy, social influence, and facilitating conditions had a positive effect on patients' intentions to use PHRs. The effect of effort expectancy on the intention to use a PHR was positively moderated by age. Since the findings of this study would help policymakers and programmers to future academics interested in this area and insight to future research workers. Therefore, implementers should focus on improving patient capacity, motivating users, and raising awareness regarding PHR.

Value of Engagement in Digital Health Technology Research: Evidence Across 6 Unique Cohort Studies.

Wearable digital health technologies and mobile apps (personal digital health technologies [DHTs]) hold great promise for transforming health research and care. However, engagement in personal DHT research is poor. The objective of this paper is to describe how participant engagement techniques and different study designs affect participant adherence, retention, and overall engagement in research involving personal DHTs. Quantitative and qualitative analysis of engagement factors are reported across 6 unique personal DHT research studies that adopted aspects of a participant-centric design. Study populations included (1) frontline health care workers; (2) a conception, pregnant, and postpartum population; (3) individuals with Crohn disease; (4) individuals with pancreatic cancer; (5) individuals with central nervous system tumors; and (6) families with a Li-Fraumeni syndrome affected member. All included studies involved the use of a study smartphone app that collected both daily and intermittent passive and active tasks, as well as using multiple wearable devices including smartwatches, smart rings, and smart scales. All studies included a variety of participant-centric engagement strategies centered on working with participants as co-designers and regular check-in phone calls to provide support over study participation. Overall retention, probability of staying in the study, and median adherence to study activities are reported. The median proportion of participants retained in the study across the 6 studies was 77.2% (IQR 72.6%-88%). The probability of staying in the study stayed above 80% for all studies during the first month of study participation and stayed above 50% for the entire active study period across all studies. Median adherence to study activities varied by study population. Severely ill cancer populations and postpartum mothers showed the lowest adherence to personal DHT research tasks, largely the result of physical, mental, and situational barriers. Except for the cancer and postpartum populations, median adherences for the Oura smart ring, Garmin, and Apple smartwatches were over 80% and 90%, respectively. Median adherence to the scheduled check-in calls was high across all but one cohort (50%, IQR 20%-75%: low-engagement cohort). Median adherence to study-related activities in this low-engagement cohort was lower than in all other included studies. Participant-centric engagement strategies aid in participant retention and maintain good adherence in some populations. Primary barriers to engagement were participant burden (task fatigue and inconvenience), physical, mental, and situational barriers (unable to complete tasks), and low perceived benefit (lack of understanding of the value of personal DHTs). More population-specific tailoring of personal DHT designs is needed so that these new tools can be perceived as personally valuable to the end user.

Innovations in HIV Prevention and Treatment: The Future of HIV Care

The Human Immunodeficiency Virus (HIV) continues to pose a significant global health challenge, despite substantial progress in treatment and prevention. This review explored recent innovations in HIV prevention and treatment, highlighting advancements such as long-acting pre-exposure prophylaxis (PrEP), long-acting injectable antiretroviral therapy (ART), and emerging research into potential cures. It also examined integrated care approaches, digital health innovations, and innovative financing models that are shaping the future of HIV care. The review synthesized recent research, evaluated the impact of these innovations, and discussed future directions to advance global health goals. The methodology for this review involved a comprehensive analysis of current literature, clinical trial data, and expert opinions to provide a holistic overview of how these advancements are transforming HIV care and addressing existing challenges. Keywords: HIV Innovations, Prevention Strategies, Long-Acting ART, Integrated Care Models, Digital Health Technologies.

Enhancing Public Healthcare Security: Integrating Cutting-Edge Technologies into Social Medical Systems

To reduce the negative effects of digitization, normative advice in international human rights legislation incorporates digital health into ethical and human rights frameworks. The use of digital health technology for universal health coverage (UHC) is acknowledged to have benefits, but its implementation must be based on respect for human rights, equity, and ethics, as well as upholding norms of acceptable quality, safety, and morality. The WHA acknowledged the necessity to use digital health technologies in the wake of the COVID-19 pandemic in 2020, but stressed that in doing so, they must "pay particular attention to digital inclusion, patient empowerment, data privacy and security, legal and ethical issues, and the protection of personal data." This paper's goal is to critically assess the proposed legislative framework and policy that regulate digital health technologies in India, as well as the implementation of digital health.

Healthcare Technology Management: Electronic Health Records and Informatics

The application of health informatics enables the creation of customised health interventions based on each person's requirements, preferences, and risk factors. Public health organisations can identify people who are at high risk for specific illnesses and provide tailored interventions to reduce risk factors and enhance outcomes by using data analytics and predictive modelling. Furthermore, via the use of social media platforms, digital health technologies, and personalised health interventions, health informatics enables public health organisations to interact with communities, encourage healthy lifestyles, and address health inequities. The importance of promoting teamwork, standardising data exchange procedures, and investing in workforce development is emphasised in this work. Public health management can meet these obstacles and fully utilise the advantages of health informatics to enhance population health outcomes.

Methodological approaches in developing and implementing digital health interventions amongst underserved women.

Minority populations are utilizing mobile health applications more frequently to access health information. One group that may benefit from using mHealth technology is underserved women, specifically those on community supervision. Discuss methodological approaches for navigating digital health strategies to address underserved women's health disparities. Using an intersectional lens, we identified strategies for conducting research using digital health technology and artificial intelligence amongst the underserved, particularly those with community supervision. We explore (1) methodological approaches that combine traditional research methods with precision medicine, digital phenotyping, and ecological momentary assessment; (2) implications for artificial intelligence; and (3) ethical considerations with data collection, storage, and engagement. Researchers must address gendered differences related to health, social, and economic disparities concurrently with an unwavering focus on the protection of human subjects when addressing the unique needs of underserved women while utilizing digital health methodologies. Women on community supervision in South Central Texas helped inform the design of JUN, the mHealth app we reported in the case exemplar. JUN is named after the Junonia shell, a native shell to South Texas, which means strength, power, and self-sufficiency, like the participants in our preliminary studies.

Digital Technology Use in US Community-Dwelling Seniors With and Without Homebound Status

ObjectivesTo examine (1) the prevalence of digital technology use, including information and communication technology devices, everyday technology use, and digital health technology use among community-dwelling older adults with or without homebound status and (2) the associations of digital technology use with homebound status. DesignCross-sectional study. Setting and ParticipantsWe used the 2022 National Health and Aging Trends Study (NHATS) data that included 5510 community-dwelling older adults. MethodsDigital technology use was assessed using self-reported outcomes of the technological environment component of the NHATS, including information and communication technology devices, everyday technology use, and digital health technology use. Homebound status was measured with 4 mobility-related questions regarding the frequency, independence, and difficulties of leaving home. Survey-weighted, binomial logistic regression was used to examine the associations of 17 technological-related outcomes and homebound status. ResultsOverall, the prevalence of homebound older adults was 5.2% (95% CI, 4.4%–6.1%), representing an estimated 2,516,403 people. The prevalence of digital technology use outcomes varied according to homebound status. The prevalence of any technology used in homebound, semi-homebound, and non-homebound populations was 88.5%, 93.3%, and 98.5%, respectively. Compared with non-homebound older adults, semi-homebound older adults had lower odds of emailing (OR, 0.71; 95% CI, 0.53–0.94), using the internet for any other reason (OR, 0.70; 95% CI, 0.49–0.99), visiting medical providers (OR, 0.68; 95% CI, 0.48–0.95), and handling insurance (OR, 0.75; 95% CI, 0.56–0.99); homebound older adults had lower odds of using a phone (OR, 0.41; 95% CI, 0.28–0.59), using any everyday technology (OR, 0.58; 95% CI, 0.38–0.89), visiting medical providers (OR, 0.52; 95% CI, 0.35–0.76), and handling insurance (OR, 0.57; 95% CI, 0.38–0.86). Conclusions and ImplicationsNon-homebound older adults are more likely to use digital technology than those who are semi-homebound or homebound. Public health care providers should prioritize efforts to enhance digital inclusion to ensure that all older adults can benefit from the advantages of digital technology.

Prescription Precision: A Comprehensive Review of Intelligent Prescription Systems.

Intelligent Prescription Systems (IPS) represent a promising frontier in healthcare, offering the potential to optimize medication selection, dosing, and monitoring tailored to individual patient needs. This comprehensive review explores the current landscape of IPS, encompassing various technological approaches, applications, benefits, and challenges. IPS leverages advanced computational algorithms, machine learning techniques, and big data analytics to analyze patient-specific factors, such as medical history, genetic makeup, biomarkers, and lifestyle variables. By integrating this information with evidence-based guidelines, clinical decision support systems, and real-time patient data, IPS generates personalized treatment recommendations that enhance therapeutic outcomes while minimizing adverse effects and drug interactions. Key components of IPS include predictive modeling, drug-drug interaction detection, adverse event prediction, dose optimization, and medication adherence monitoring. These systems offer clinicians invaluable decision-support tools to navigate the complexities of medication management, particularly in the context of polypharmacy and chronic disease management. While IPS holds immense promise for improving patient care and reducing healthcare costs, several challenges must be addressed. These include data privacy and security concerns, interoperability issues, integration with existing electronic health record systems, and clinician adoption barriers. Additionally, the regulatory landscape surrounding IPS requires clarification to ensure compliance with evolving healthcare regulations. Despite these challenges, the rapid advancements in artificial intelligence, data analytics, and digital health technologies are driving the continued evolution and adoption of IPS. As precision medicine gains momentum, IPS is poised to play a central role in revolutionizing medication management, ultimately leading to more effective, personalized, and patient-centric healthcare delivery.

Transformative Role of Artificial Intelligence in the Pharmaceutical Sector

Background: The pharmaceutical sector is a critical component of healthcare, driving innovation in drug discovery, development, and delivery. With the increasing integration of artificial intelligence (AI), digital health technologies, and biotechnology, the industry is transforming rapidly. This review examines the key areas of the pharmaceutical industry and highlights the growing impact of AI in enhancing various processes, from drug discovery to clinical trials. To explore the applications of AI in drug discovery, development, manufacturing, clinical trials, personalized medicine, and regulatory compliance. This review also addresses the challenges, such as data privacy and interoperability, that accompany the adoption of AI in the pharmaceutical sector. Methods: A comprehensive review of existing literature and case studies on the application of AI in pharmaceutical research and operations was conducted. Key areas of focus include AI's role in predictive analytics, target identification, manufacturing, supply chain management, clinical trial optimization, and pharmacovigilance. Results: AI significantly enhances drug discovery by improving target identification, predictive modeling, and high-throughput screening. It optimizes manufacturing through real-time quality control and process automation. In clinical trials, AI facilitates patient recruitment and adaptive trial designs, while in personalized medicine, it enables biomarker discovery and treatment optimization. AI also supports regulatory compliance through automated monitoring and risk assessment. Conclusion: AI is transforming the pharmaceutical sector, making processes more efficient, precise, and tailored to individual patients. However, challenges such as data privacy, ethical considerations, and interoperability must be addressed to fully harness AI's potential. Standardization and collaboration will be essential in driving the next phase of innovation in pharmaceutical development and healthcare delivery.

The Role of Digital Health in Managing Chronic Pain

Chronic pain, which affects almost a billion people worldwide, is a major health concern that places a large cost strain on healthcare systems. Traditional pain management strategies frequently fall short, demanding novel alternatives. Telemedicine, mobile health applications, and remote monitoring tools are all examples of digital health technologies that show promise for chronic pain management. This study examines the present issues in chronic pain treatment, the importance of digital health treatments, and the efficacy of evidence-based methods including cognitive behavioural therapy (CBT) and machine learning for personalised care. Patients suffering from chronic pain now have new hope thanks to digital health solutions that allow for patient self-management, real-time monitoring, and enhanced access to care. Through evaluating clinical trials and research findings, this review sheds light on the future potential and opportunities for incorporating digital health technologies into chronic pain care. Keywords: Chronic Pain, Digital Health, Telemedicine, Cognitive Behavioral Therapy (CBT), Remote Monitoring.

How Do We Better Serve Excluded Populations When Delivering Digital Health Technology? Inclusion Evaluation of a Digital Musculoskeletal Self-Management Solution.

Digital self-management platforms have been proposed as a solution to better support people manage their musculoskeletal (MSK) condition. However, research studies often explicitly exclude people who can't access internet connected devices. An important consideration is that digital exclusion (for people without access to an internet connected device) from these new digital options will worsen already existing inequality and inequity in healthcare. To evaluate the acceptability and potential causes of digital exclusion of the South West London (SWL) MSK self-management app. (1) Explore why some patients are not using the app and any barriers they have. Explore why some clinicians are not prescribing the app. (2) Make recommendations, based on these findings, to improve digital inclusion. An explanatory sequential mixed method service evaluation that consisted of initial questionnaires to identify suitable collaborators, followed by structured interviews of patients and clinicians. Following a comprehensive data analysis, 10 sub-themes were grouped into four main themes: (1) Beliefs: Importance of understanding the role of digital; face to face consultation is still valued and needed. (2) Barriers: Lack of digital literacy; lack of physical examination/contact with a clinician. (3) Enablers: Immediate access to advice and information; perceived better control over health; ease of use; no appointment needed. (4) Solutions: Support and training; greater awareness. As digital health technology develops, strategies must change, requiring deliberate work and investments to improve inclusion. Our findings highlight how digital technology design and delivery can be adapted to address the causes of digital exclusion.