Connected Health Technologies Research Articles

Who uses connected health technologies after a cancer diagnosis? evidence from the US Health Information National Trends Survey.

As the number of people living with and beyond cancer increases, connected health technologies offer promise to enhance access to care and support, while reducing costs. However, uptake of connected health technologies may vary depending on sociodemographic and health-related variables. This study aimed to investigate demographic and health predictors of connected health technology use among people living with and beyond cancer. Cross-sectional data from the US Health Information National Trends Survey Version 5 Cycle 4 (H5c4) was used. Regression analysis was used to examine associations between sociodemographic factors and the use of connected health technologies. The sample was restricted to individuals who self-reported a cancer diagnosis or history of cancer. In this cycle, 626 respondents self-reported a cancer diagnosis, with 41.1% using connected health technologies (health and wellness apps and/or wearable devices). Most were female (58.9%) and white (82.5%); 43.4% had graduated college or higher education. One third (33.6%) had a household income of $75,000 or more. Respondents who were younger, have higher education, were living as married, had higher incomes, had higher self-rated health and had higher health-related self-efficacy were significantly more likely to use connected health technologies. There were no significant associations between gender, race, stratum, time since diagnosis, history of anxiety or depression, and use of connected health technologies among people living with and beyond cancer. Connected health technology use among people living with and beyond cancer is associated with sociodemographic factors. Future research should examine these demographic disparities as the use of connected health technologies in healthcare continues to gather momentum. The study underscores a disparity in connected heath technology usage among people living with and beyond cancer. There is a pressing need for research into adoption barriers and interventions to ensure equitable digital healthcare integration among this population, especially with the heightened adoption of technology post COVID-19 pandemic.

Connected health in US, EU, and China: opportunities to accelerate regulation of connected health technologies to optimize their role in medicines development.

Connected health technology is playing an increasingly important role in healthcare. The power, complexity, functionality, and accessibility of connected health technologies are increasing rapidly, showing promise for improved and more equitable healthcare outcomes. They are integral to the lifecycle of medical products, from discovery and development to manufacturing and ultimately to the patient. The spectrum of integration between medical products and digital technologies ranges from non-drug specific solutions for supporting adherence or patient monitoring, which may or may not require regulatory approval, to digital therapeutics and software-containing combination products, which make claims supported by clinical evidence. The exponential increase and rapid evolution of connected health technologies - and the accompanying possibilities for innovative healthcare interventions, delivery systems, and clinical trial designs - pose new and complicated regulatory challenges. Currently, connected health may involve the use of regulated medical devices, including software as a medical device, or consumer products, such as wearables or apps, that fall under regulatory discretion. In this paper we examine how connected health technologies intersect with the development and lifecycle of medical products, how they are impacted by existing regulatory frameworks in the US, EU, and China, and propose future focus areas of activity.

Predicting Adherence to Home-Based Cardiac Rehabilitation with Data-Driven Methods

Cardiac rehabilitation (CR) focuses on the improvement of health or the prevention of further disease progression after an event. Despite the documented benefits of CR programs, the participation remains suboptimal. Home-based CR programs have been proposed to improve uptake and adherence. The goal of this study was to apply an end-to-end methodology including machine learning techniques to predict the 6-month adherence of cardiovascular disease (CVD) patients to a home-based telemonitoring CR program, combining patients’ clinical information with their actual program participation during a short familiarization phase. Fifty CVD patients participated in such a program for 6 months, enabling personalized guidance during a phase III CR study. Clinical, fitness, and psychological data were measured at baseline, whereas actual adherence, in terms of weekly exercise session duration and patient heart rate, was measured using wearables. Hierarchical clustering was used to identify different groups based on (1) patients’ clinical baseline characteristics, (2) exercise adherence during the familiarization phase, and (3) the whole program adherence, whereas the output of the clustering was determined using repetitive decision trees (DTs) and random forest (RF) techniques to predict long-term adherence. Finally, for each cluster of patients, network analysis was applied to discover correlations of their characteristics that link to adherence. Based on baseline characteristics, patients were clustered into three groups, with differences in behavior and risk factors, whereas adherent, non-adherent, and transient adherent patients were identified during the familiarization phase. Regarding the prediction of long-term adherence, the most common DT showed higher performance compared with RF (precision: 80.2 ± 19.5% and 71.8 ± 25.8%, recall: 94.5 ± 14.5% and 71.8 ± 25.8% for DT and RF accordingly). The analysis of the DT rules and the analysis of the feature importance of the RF model highlighted the significance of non-adherence during the familiarization phase, as well as that of the baseline characteristics to predict future adherence. Network analysis revealed different relationships in different clusters of patients and the interplay between their behavioral characteristics. In conclusion, the main novelty of this study is the application of machine learning techniques combining patient characteristics before the start of the home-based CR programs with data during a short familiarization phase, which can predict long-term adherence with high accuracy. The data used in this study are available through connected health technologies and standard measurements in CR; thus, the proposed methodology can be generalized to other telerehabilitation programs and help healthcare providers to improve patient-tailored enrolment strategies and resource allocation.

194 CONNECTED HEALTH SUSTAINING HOME STAY IN DEMENTIA (CHESS): SMART HEALTH TECHNOLOGY ACCEPTABILITY BY INFORMAL CAREGIVERS OF PEOPLE WITH DEMENTIA

Abstract Background The prevalence of dementia is increasing worldwide, and innovative strategies are required to meet increasing demands on health services. The Connected HEalth Sustaining home Stay in Dementia (CHESS) Study aimed to provide support to People with Dementia (PwD) and their caregivers in their homes. We aimed to quantitatively assess the acceptance of smart connected health technology by caregivers of PwD through use of standardised questionnaires. Methods Fifty-two PwD and their informal caregivers were recruited by convenience sampling to the intervention arm of the CHESS Study. An additional 25 dyads acted as control participants. Questionnaire data were collected following completion of the CHESS study from 27 informal caregivers from the CHESS Technology group and 16 informal caregivers from the Control group. Measures of health technology acceptability included the System Usability Scale (SUS), the eHealth Literacy Scale (eHEALS), the Technology Readiness Index 2.0 (TRI), and the Unified Theory of Acceptance and Use of Technology Scale (UTAUT). Univariate analyses of variance were used to explore differences between groups. Results Internal consistency (Cronbach’s alpha) was high for all measures (range 0.68 – 0.96). The SUS score for the technology group was high (M=70.07, SD=17.69), indicating that the CHESS technology had a high level of usability. All participants had a high level of eHealth literacy (M=33.61, SD=10.51). Both groups performed similarly on the TRI and UTAUT, however the control group indicated greater discomfort with health technology and felt less secure in providing their personal information electronically to healthcare professionals than the technology group. Conclusion Caregivers across the technology and control groups had high levels of eHealth literacy and found health technology to be generally acceptable. The CHESS technology in particular was rated as highly usable on the SUS by those who used it. These findings offer support for a Connected Health model of care.

Impact of connected health interventions on psychological wellbeing and quality of life in patients with cancer: Asystematic review and meta-analysis.

Connected health technologies have the potential to improve access to cancer care and support and reduce costs. We aimed to assess the impacts of interventions delivered using connected health technologies on psychological and quality of life (QoL) outcomes in people living with and beyond cancer. PUBMED, PsycINFO, Web of Science, and EMBASE were searched using terms relating to (i) cancer, (ii) connected health, and (iii) QoL/psychological wellbeing. Studies were included if they evaluated interventions using connected health technologies and assessed psychological and/or QoL outcomes for adults at any stage of cancer treatment or survivorship. Thirty-seven studies met the inclusion criteria with a total of 8956 participants. Connected health technologies included web-based applications (n=24), smart applications (n=12), and wearable devices (n=1). Studies were heterogeneous in terms of intervention components. We identified five clusters: (i) Psychosocial support and rehabilitation, (ii) psychoeducation and information support, (iii) symptom monitoring, reporting and self-management, (iv) peer and social support, and (v) health coaching and physical activity training. Due to heterogeneity of outcome measures, the meta-analysis included only seven RCTs; pooled mean estimates showed connected health interventions were moderately effective in reducing symptoms of depression (SMD: -0.226, 95% CI -0.303/-0.149) and anxiety (SMD: -0.188, 95% CI: 0.279/-0.0963) compared with usual care. While the considerable heterogeneity observed highlights the need for more rigorous studies to improve reproducibility and efficiency, results suggest that connected health interventions have the potential to improve psychological wellbeing and QoL outcomes in people living with and beyond cancer.

Abstract P121: Sensitivity And Specificity Of The Biobeat Watch In Monitoring Covid19 Patients: Preliminary Data

Background: Connected health technology can enable healthcare professionals to provide multiple solutions to meet the growing demand of care and control of COVID-19 infected patients, by optimizing economic resources and extending the scope of monitoring beyond the hospital. An innovative mobile device, the BioBeat Watch®, developed in Israel, with an APP that can be downloaded directly to the Smart Phone, is characterized by sensors already validated according to the regulations of the Food and Drug Administration for vital signs, the ECG track and the European Society Hypertension for the detection of blood pressure. Purpose: Wearable medical devices and the BioBeat software platform are appropriate for use in different settings for the management of acute, chronic cardiovascular, respiratory and inflammatory pathology, a tool capable of early identification of the instrumental signs of deterioration even before the exclusively clinical recognition that becomes even more difficult if we consider the patients at home.The aim of this study is to test the sensitivity and specificity of the biobeat wearable system applied in patients with paucisymptomatic COVID-19 infection (group A) and in those with previous SARS-COV2 disease discharged from the hospital who still needed post-acute monitoring (group B) and compared with clinical control, managing to determine early the clinical signs of worsening. Methods: The data recorded by individual patients are systolic and diastolic blood pressure, heart and respiratory rate, peripheral oxygen saturation and body temperature. The criteria of deterioration or worsening of the clinical condition are represented by the need to hospitalize the patient, alteration of one of the criteria grouped in the ABCDE. Results: We calculated the sensitivity of the methodology related to the alerts detected and the outcome of the patients. Sensitivity was 86.3% with a 95% CI of 0.71 to 1.03 and a specificity of 7.7%. Conclusions: Continuous monitoring with biobeat watch showed a high sensitivity in detecting early any alerts predictive of worsening of the disease.

A technology assisted precision ketogenic diet intervention for cardio-renal-metabolic health in overweight or obese adults: Protocol for a randomized controlled trial

BackgroundThe obesity epidemic is a public health concern, as it is associated with a variety of chronic conditions. The ketogenic diet has drawn much scientific and public attention. However, implementation is challenging and its effect on cardio-renal-metabolic health is inconclusive. This study will assess the feasibility, acceptability, and preliminary efficacy of a technology-assisted ketogenic diet on cardio-renal-metabolic health. MethodsThis is a single center, 6-month, stratified, randomized controlled trial. A total of 60 overweight/obese adults (18+ years old) will be enrolled, including 20 without type 2 diabetes (T2D) and without chronic kidney disease (CKD); 20 with T2D, but without CKD; and 20 with early-stage CKD. Participants will be stratified based on health conditions and randomized into a ketogenic diet (n = 30) or a low-fat diet group (n = 30). Health education involving diet and physical activity will be delivered both digitally and in-person. Mobile and connected health technologies will be used to track lifestyle behaviors and health indicators, as well as provide weekly feedback. The primary outcome (weight) and the secondary outcomes (e.g., blood pressure, glycemic control, renal health) will be assessed with traditional measurements and metabolomics. DiscussionMobile and connected health technologies provide new opportunities to improve chronic condition management, health education attendance, planned lifestyle changes and engagement, and health outcomes. The advancement of bioinformatics technology offers the possibility to profile and analyze omics data which may advance our understanding of the underlying mechanisms of intervention effects on health outcomes at the molecular level for personalized and precision lifestyle interventions.

Does Connected Health Technology Improve Health-Related Outcomes in Rural Cardiac Populations? Systematic Review Narrative Synthesis.

Individuals living in rural areas are more likely to experience cardiovascular diseases (CVD) and have increased barriers to regular physical activity in comparison to those in urban areas. This systematic review aimed to understand the types and effects of home-based connected health technologies, used by individuals living in rural areas with CVD. The inclusion criteria included technology deployed at the participant’s home and could be an mHealth (smart device, fitness tracker or app) or telehealth intervention. Nine electronic databases were searched across the date range January 1990–June 2021. A total of 207 full texts were screened, of which five studies were included, consisting of 603 participants. Of the five studies, four used a telehealth intervention and one used a form of wearable technology. All interventions which used a form of telehealth found a reduction in overall healthcare utilisation, and one study found improvements in CVD risk factors. Acceptability of the technologies was mixed, in some studies barriers and challenges were cited. Based on the findings, there is great potential for implementing connected health technologies, but due to the low number of studies which met the inclusion criteria, further research is required within rural areas for those living with cardiovascular disease.

The relationship of socio-demographic factors and patient attitudes to connected health technologies: A survey of stroke survivors.

More evidence is needed on technology implementation for remote monitoring and self-management across the various settings relevant to chronic conditions. This paper describes the findings of a survey designed to explore the relevance of socio-demographic factors to attitudes towards connected health technologies in a community of patients. Stroke survivors living in the UK were invited to answer questions about themselves and about their attitudes to a prototype remote monitoring and self-management app developed around their preferences. Eighty (80) responses were received and analysed, with limitations and results presented in full. Socio-demographic factors were not found to be associated with variations in participants' willingness to use the system and attitudes to data sharing. Individuals' levels of interest in relevant technology was suggested as a more important determinant of attitudes. These observations run against the grain of most relevant literature to date, and tend to underline the importance of prioritising patient-centred participatory research in efforts to advance connected health technologies.

Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World.

As COVID-19 hounds the world, the common cause of finding a swift solution to manage the pandemic has brought together researchers, institutions, governments, and society at large. The Internet of Things (IoT), artificial intelligence (AI)—including machine learning (ML) and Big Data analytics—as well as Robotics and Blockchain, are the four decisive areas of technological innovation that have been ingenuity harnessed to fight this pandemic and future ones. While these highly interrelated smart and connected health technologies cannot resolve the pandemic overnight and may not be the only answer to the crisis, they can provide greater insight into the disease and support frontline efforts to prevent and control the pandemic. This article provides a blend of discussions on the contribution of these digital technologies, propose several complementary and multidisciplinary techniques to combat COVID-19, offer opportunities for more holistic studies, and accelerate knowledge acquisition and scientific discoveries in pandemic research. First, four areas, where IoT can contribute are discussed, namely: 1) tracking and tracing; 2) remote patient monitoring (RPM) by wearable IoT (WIoT); 3) personal digital twins (PDTs); and 4) real-life use case: ICT/IoT solution in South Korea. Second, the role and novel applications of AI are explained, namely: 1) diagnosis and prognosis; 2) risk prediction; 3) vaccine and drug development; 4) research data set; 5) early warnings and alerts; 6) social control and fake news detection; and 7) communication and chatbot. Third, the main uses of robotics and drone technology are analyzed, including: 1) crowd surveillance; 2) public announcements; 3) screening and diagnosis; and 4) essential supply delivery. Finally, we discuss how distributed ledger technologies (DLTs), of which blockchain is a common example, can be combined with other technologies for tackling COVID-19.

The Landscape of Connected Cancer Symptom Management in Rural America: A Narrative Review of Opportunities for Launching Connected Health Interventions.

BackgroundThe 2016 President’s Cancer Panel called for projects focusing on improving cancer symptom management using connected health technologies (broadband and telecommunications). However, rural communities, like those in Appalachia, may experience a “double burden” of high cancer rates and lower rates of broadband access and adoption necessary for connected health solutions.PurposeTo better understand the current landscape of connected health in the management of cancer symptoms in rural America.MethodsA literature search was conducted using four academic databases (PubMed, CINAHL, MEDLINE, and PsycINFO) to locate articles published from 2010 to 2019 relevant to connected cancer symptom management in rural America. Text screening was conducted to identify relevant publications.ResultsAmong 17 reviewed studies, four were conducted using a randomized controlled trial; the remainder were formative in design or small pilot projects. Five studies engaged stakeholders from rural communities in designing solutions. Most commonly studied symptoms were psychological/emotional symptoms, followed by physical symptoms, particularly pain. Technologies used were primarily telephone-based; few were Internet-enabled video conferencing or web-based. Advanced mobile and Internet-based approaches were generally in the development phase. Overall, both rural patients and healthcare providers reported high acceptance, usage, and satisfaction of connected health technologies. Ten of the 17 studies reported improved symptom management outcomes. Methodological challenges that limited the interpretation of the findings were summarized.ImplicationsThe review identified a need to engage rural stakeholders to develop and test connected cancer symptom management solutions that are based on advanced mobile and broadband Internet technologies.

The role of Connected Health technologies in supporting families affected by paediatric cancer: A systematic review.

Families impacted by paediatric cancer are met with logistical, financial and psychological impacts, with severe acute respiratory syndrome coronavirus two creating additional barriers and stressors for these families. Connected Health (CH) may facilitate cancer care. The objective of the present study was to systematically review CH for families/informal caregivers affected by paediatric cancer. Using search terms relating to: (1) paediatric cancer, (2) family/caregivers and (3) CH, the databases of PsycINFO, Pubmed, EMBASE and Web of Science were searched. Inclusion criteria included an evaluation of CH technologies for supportive care for families/caregivers affected by paediatric cancer at any stage of treatment or survivorship. Sixteen studies met inclusion criteria. CH was primarily web-based (n = 6), however smartphone applications (n = 5), telehealth (n = 2) and online groups (n = 3) were utilised. Intervention areas included psycho-social (n = 6), health and information provision (n = 8) and palliative care (n = 2). While limited studies have evaluated the impact of CH on families living with paediatric cancer, emerging evidence suggests potential benefits. More evidenced-based interventions are required.

Electroanalytical Sensor for Diabetic Foot Ulcer Monitoring with Integrated Electronics for Connected Health Application

AbstractL‐tyrosine is an amino acid, the concentration of which is found to be highly elevated in patients suffering from diabetic foot ulcer (DFU). The latter proves to be fatal when it turns out chronic and may lead to amputation. The conventional clinical diagnostic methods are costly and time consuming, in which case, the condition of patient(s) may deteriorate long before proper treatment commences. Herein, we report the development of smart band‐aid for real time monitoring of L‐tyrosine by employing enzymatic bio‐sensor using α‐MnO2/tyrosinase. The smart band‐aid was further integrated with portable electronics capable of wireless data transmission to a personal digital assistant, and its tyrosine sensing performance was evaluated. Anodic current was found to vary linearly with the concentrations of L‐tyrosine in the range of 5 nM–500 μM. The developed sensor displayed a limit of detection and sensitivity of 0.71 nM and 0.67 μA/nM/mm2 respectively, with a stability of 25 days. The developed sensor was validated using a commercial impedance analyzer. The impedance response was found to be consistent with the cyclic voltammogram obtained and demonstrated to be a linear function of tyrosine concentration. The developed sensing platform combines early diagnosis with connected health technologies, thus, fitting well into modern healthcare needs.

The impact of connected health technologies on the quality of service delivered by home care companies: Focus on trust and social presence

The objective of this paper is to focus on the impact of connected health technologies on the quality of service delivered by home care companies for the seniors. The focus will be on “trust” and “social presence” dimensions. We used SERVQUAL for measuring the quality of service delivered by home care companies. We targeted elderly people using connected health technologies (assistive alarm, telecare, sensors, etc.) at home and receiving health care at home. We received 213 questionnaires back by post. As we had several latent variables, we used partial least squares (PLS). The results show that the level of trust in these technologies impacts significantly almost all dimensions of SERVQUAL. In parallel, the perception of the social presence with the use of these technologies impacts positively the empathy and tangibles dimensions of SERVQUAL.

Feasibility of Remote Monitoring to Confirm Exercise Adherence in High Risk Pregnant Women [15N

INTRODUCTION: Pregnancy is an ideal opportunity for women to focus on physical health; however, exercise recommendations are rarely met. At-home fitness is more accessible than ever due to technology-based interventions, and with the addition of wearable technology, real-time adherence and intensity feedback is possible. The objective of our study is to determine if contemporaneous, mobile technology can provide an innovative method to monitor exercise in a high-risk pregnant population remotely. METHODS: This is a prospective, randomized controlled pilot study with two arms: exercise vs. standard counseling. Exercise was logged and tracked remotely in both groups. Once an exercise session was recorded, participation was confirmed by cross-referencing participant's FitBit activity and heart rate monitor (San Francisco, CA), thus providing a method to confirm participation and monitor degree of exercise intensity. RESULTS: Sixteen total patients were enrolled, eight in each arm. 102 exercise sessions were logged: 80 (78%) in the intervention group vs. 22 (22%) in the non. Exercise was confirmed in 79 of the 102 exercise sessions (77%). Interestingly, only 18% of recorded sessions reached moderate intensity based on heart rate parameters, and none reached vigorous intensity. CONCLUSION: Connected health technologies can provide a reliable, cost effective, and efficient method to determine adherence to and degree of exercise intensity in a high-risk pregnant population. Providing feedback to patients about their actual vs. perceived exercise intensity may improve the efficacy of their regimens. Additional research is needed to determine which methods are most effective to motivate exercise in pregnancy.

Augmented Reality for Rehabilitative Therapy: Patient experiences and Practitioner perspectives

Over the past 20 years, researchers have investigated the potential of Virtual Reality (VR) to enhance rehabilitative therapies by improving motor control, supporting motivation, and offering analgesic effects. Prior work indicates that patient adherence to prescribed in-home regimens has significant impact on recovery time. Though Connected Health Technologies and Virtual and Augmented Reality (AR/VR) may maximize in-home adherence and recovery, questions about design and deployment remain. We designed a first-person Augmented Reality (AR) experience to elicit user and practitioner perspectives about AR for rehabilitative contexts. We found significant differences between patient and practitioner-report of regimen adherence. We also identified key attitude barriers to adopting VR/AR for clinical practice which may impact support for in-home VR/AR use. Findings from these studies inform directions for future research and development about the use of VR/AR in a therapeutic context.

Senior citizens' acceptance of connected health technologies in their homes.

The objective of this paper is to focus on seniors' acceptance of the usage of connected healthcare technologies in their homes. The authors integrated into technology acceptance model (TAM) several latent variables such as social presence, trust and degree of intrusiveness perceived with the use of connected health technologies. The authors distributed the survey by post to 605 seniors. The authors targeted elderly people using connected health technologies (assistive alarm, telecare, sensors, etc.) at home and/or receiving healthcare at home. The authors received 213 questionnaires back. As The authors had several latent variables, the authors used partial least squares (PLS), a variance-based structural equation modeling method. The results show that the level of trust in these technologies impacts significantly the perception of usefulness and the degree of intrusiveness. In parallel, the degree of usefulness of these technologies impacts positively elderly people's intention to accept their usage. Finally, one can claim that the perception of the social presence with the use of these technologies impacts positively the degree of perceived usefulness, trust and intrusiveness. The sample covers a population benefiting from similar connected health technologies. It was difficult to distinguish and interpret the added value of each technology separately. As more and more elderly people use or are least familiarizing themselves with a range of connected technologies it would be interesting to identify which sets of connected technologies contribute the most to a positive feeling of social presence. These results are particularly relevant to stakeholders in the health industry in their quest to improve their products/services. A better understanding of the relation that the elderly have with connected health technologies is an essential prerequisite to supporting the development of new solutions capable of meeting the specific needs of our seniors. The authors want to apply the TAM to connected health technologies designed for elderly people and the authors also want to extend it by integrating the social presence, trust and degree of intrusiveness variables to our research model.

Impact of Automated Digital Navigation Program on Bowel Preparation Quality and Patient Satisfaction for Colonoscopy: A Comparative Study Across Multiple Sites

Background Nearly 1 in 5 patients suffers from inadequate or poor bowel preparation in advance of a colonoscopy. Prior studies have shown that this leads to a decrease in adenoma detection rate, increased time spent in completing efficiency in endoscopy suite, as well as an overall increase in cost of care from 13-20%. With the shift to value-based care in the American healthcare system, there is an urgent need for solutions that can automate pre-procedure guidance and post-procedure follow up. Objective As part of the American Gastroenterology Association digital transformation network, we sought to automate and improve pre-procedure navigation for colonoscopy using connected health technologies (specifically digital navigation). At Arizona Center for Digestive Health (AZCDH), we assessed the impact of digital navigation on bowel preparation quality, patient engagement, and patient satisfaction. We also sought to assess the reproducibility of outcomes seen at AZCDH at additional sites that have implemented digital navigation for endoscopic procedures as part of the American Gastroenterology Association network, including Yale New Haven Hospital (YNHH) and three Mount Sinai Hospital locations. Methods At AZCDH, we compared two cohorts of patients (usual care versus digital navigation) scheduled for colonoscopy. The digital navigation cohort received usual care in addition to time based messages and education content pathways on smartphones and delivered through Rx.Health’s digital medicine platform. Bowel preparation quality was then assessed, as well as patient satisfaction with the digital navigation intervention. Patient engagement and satisfaction were then compared with initial data from other sites within the network. Results Of the 217 patients prescribed the digital navigation program at AZCDH, 93 completed the procedure to date and had bowel preparation results documented in the electronic endoscopic record system. After implementing the digital navigation program the rate of aborted procedures decreased from 2.2% at baseline to 1.07%. In a follow up survey, 93% of respondents “strongly agreed” or “agreed” that the digital navigation program was helpful in preparing for their colonoscopy. At other locations to date, 433 patients have been prescribed the pathway at YNHH along with 213 patients at Mount Sinai locations. One hundred percent and 94% of respondents “strongly agreed” or “agreed” that the digital navigation program was helpful in preparing for their procedure at YNHH and Mount Sinai locations, respectively. Conclusions Our single-site study at AZCDH paved the way to implementing digital navigation pathways at YNHH and Mount Sinai endoscopy locations by demonstrating that colonoscopy instructions are well received by patients, can reduce the rate of aborted procedures and can result in higher patient satisfaction as well as a higher quality of bowel preparation. Further, patient engagement rates and satisfaction with the program was consistent at all sites across the US where the digital navigation program has been implemented. In the future, we plan to report on patient outcomes (including reduction in no shows, poor bowel preparation) to allow benchmarking on a national scale.

The change of pediatric surgery practice due to the emergence of connected health technologies

PurposeDisruptive connected health technologies, or digitalization, are suggested to tackle the healthcare challenges and transform traditional care models. In Finland, the transformation is manifested by the development of various digital hospitals and citizen-centric care models that foster self-care by utilizing connected health technologies. In this paper we introduce qualitative research that uses social practice theory in order to understand how connected health technologies shape a pediatric day surgery practice in future digital hospitals. Major improvement needs were identified to center on discursive actions (i.e., communication that occurs between health professionals and patients), since hospital IT systems, data exchange, and internal and external communication were found to not support pediatric surgery practice as expected. To improve the current situation, we found out that there is a need to change the patient role to be more active, creating data that health professionals could use through their own patient record systems. Connected health solutions allow this type of interaction between things (i.e., communication through mobile apps, medical devices, etc.) and agents (i.e., health professionals). There is an urgent need to improve communication channels such as Chat, WhatsApp, and mobile applications that gather all necessary information and instructions from patients before and after the surgery. However, these solutions cannot be co-created separately from the clinical decision systems that allow discursive actions among healthcare professionals. These solutions, e.g. mobile applications designed to support patients going through the surgery practice, will also significantly impact and change pediatric surgery practice at hospitals.

Connected Health Technology for Cardiovascular Disease Prevention and Management.

Advances in computing power and wireless technologies have reshaped our approach to patient monitoring. Medical grade sensors and apps that were once restricted to hospitals and specialized clinic are now widely available. Here, we review the current evidence supporting the use of connected health technologies for the prevention and management of cardiovascular disease in an effort to highlight gaps and future opportunities for innovation. Initial studies in connected health for cardiovascular disease prevention and management focused primarily on activity tracking and blood pressure monitoring but have since expanded to include a full panoply of novel sensors and pioneering smartphone apps with targeted interventions in diet, lipid management and risk assessment, smoking cessation, cardiac rehabilitation, heart failure, and arrhythmias. While outfitting patients with sensors and devices alone is infrequently a lasting solution, monitoring programs that include personalized insights based on patient-level data are more likely to lead to improved outcomes. Advances in this space have been driven by patients and researchers while healthcare systems remain slow to fully integrate and adequately adapt these new technologies into their workflows. Cardiovascular disease prevention and management continue to be key focus areas for clinicians and researchers in the connected health space. Exciting progress has been made though studies continue to suffer from small sample size and limited follow-up. Efforts that combine home patient monitoring, engagement, and personalized feedback are the most promising. Ultimately, combining patient-level ambulatory sensor data, electronic health records, and genomics using machine learning analytics will bring precision medicine closer to reality.