Mobile Medical Applications Research Articles

A comparative evaluation of mobile medical APPS (MMAS) for reading and interpreting malaria rapid diagnostic tests

BackgroundThe World Health Organization recommends confirmatory diagnosis by microscopy or malaria rapid diagnostic test (RDT) in patients with suspected malaria. In recent years, mobile medical applications (MMAs), which can interpret RDT test results have entered the market. To evaluate the performance of commercially available MMAs, an evaluation was conducted by comparing RDT results read by MMAs to RDT results read by the human eye.MethodsFive different MMAs were evaluated on six different RDT products using cultured Plasmodium falciparum blood samples at five dilutions ranging from 20 to 1000 parasites (p)/microlitre (µl) and malaria negative blood samples. The RDTs were performed in a controlled, laboratory setting by a trained operator who visually read the RDT results. A second trained operator then used the MMAs to read the RDT results. Sensitivity (Sn) and specificity (Sp) for the RDTs were calculated in a Bayesian framework using mixed models.ResultsThe RDT Sn of the P. falciparum (Pf) test line, when read by the trained human eye was significantly higher compared to when read by MMAs (74% vs. average 47%) at samples of 20 p/µl. In higher density samples, the Sn was comparable to the human eye (97%) for three MMAs. The RDT Sn of test lines that detect all Plasmodium species (Pan line), when read by the trained human eye was significantly higher compared to when read by MMAs (79% vs. average 56%) across all densities. The RDT Sp, when read by the human eye or MMAs was 99% for both the Pf and Pan test lines across all densities.ConclusionsThe study results show that in a laboratory setting, most MMAs produced similar results interpreting the Pf test line of RDTs at parasite densities typically found in patients that experience malaria symptoms (> 100 p/µl) compared to the human eye. At low parasite densities for the Pf line and across all parasite densities for the Pan line, MMAs were less accurate than the human eye. Future efforts should focus on improving the band/line detection at lower band intensities and evaluating additional MMA functionalities like the ability to identify and classify RDT errors or anomalies.

Mobile medical applications: opportunities, challenges and prospects

<h3></h3> Смартфоны становятся неотъемлемой частью жизни современного общества. В настоящее время разрабатываются и активно используются различные медицинские мобильные приложения. В статье проанализирован ряд наиболее популярных медицинских приложений, имеющихся на сегодняшний день: приложения, посвященные диете и физической активности, приложения для управления заболеваниями (сахарный диабет, бронхиальная астма, психические расстройства и др.), диагностики и реабилитации, для напоминания о приеме лекарств, приложение «Электронный пациент» (доступ к медицинской документации). Показаны их преимущества, а также имеющиеся недостатки. С учетом низкого уровня доказательной базы необходимо проведение масштабных рандомизированных исследований для ее укрепления и последующего внедрения медицинских мобильных приложений в практическую деятельность врачей и пациентов.

The Elder Health Information Technology Framework for Geriatric Care in Rural India: A Policy Initiative

Healthcare monitoring and analysis of healthcare parameters is a reality to reduce costs and increase access to specialist and experts that holds the future for geriatric care in India. This paper proposes distinct methods towards the implementation of rural elder health information technologies (IT), which includes electronic medical records, clinical decision support, mobile medical applications, and software driven medical devices used in the diagnosis or treatment of disease for the older adult population in the villages of India. The purpose is online patient satisfaction at the microlevel (village panchayat) through methods accessible and affordable by establishing a common standard of operations at the village primary care units giving way to early disease detection and routine screening among the aged population avoiding institutionalization. The rural elder health IT framework is of great interest for all stakeholders in the field, as it benefits the investors and the consumers, adding to the technological infrastructure, thereby opening new avenues of research in health informatics, telemedicine and enhancing the scope of geriatric research, which in turn enhances the health-related quality of life for the rural older adults in the remote villages of the nation.

Privacy-Protection Scheme Based on Sanitizable Signature for Smart Mobile Medical Scenarios

With the popularization of wireless communication and smart devices in the medical field, mobile medicine has attracted more and more attention because it can break through the limitations of time, space, and objects and provide more efficient and quality medical services. However, the characteristics of a mobile smart medical network make it more susceptible to security threats such as data integrity damage and privacy leakage than those of traditional wired networks. In recent years, many digital signature schemes have been proposed to alleviate some of these challenges. Unfortunately, traditional digital signatures cannot meet the diversity and privacy requirements of medical data applications. In response to this problem, this paper uses the unique security attributes of sanitizable signatures to carry out research on the security and privacy protection of medical data and proposes a data security and privacy protection scheme suitable for smart mobile medical scenarios. Security analysis and performance evaluation show that our new scheme effectively guarantees data security and user privacy while greatly reducing computation and communication costs, making it especially suitable for mobile smart medical application scenarios.

Medical Assistant Mobile Application for Diabetes Control by Simulating a Compartmental Model

This paper presents an educational mobile assistant application for type 1 diabetes patients. The proposed application is based on four mathematical models that describe the glucose-insulin-glucagon dynamics using a compartmental model, with additional equations to reproduce aerobic exercise, gastric glucose absorption by the gut, and subcutaneous insulin absorption. The medical assistant was implemented in Java and deployed and validated on several smartphones with Android OS. Multiple daily doses can be simulated to perform intensive insulin therapy. As a result, the proposed application shows the influence of exercise periods, food intakes, and insulin treatments on the glucose concentrations. Four parameter variations are studied, and their corresponding glucose concentration plots are obtained, which show agreement with simulators of the state of the art. The developed application is focused on type-1 diabetes, but this can be extended to consider type-2 diabetes by modifying the current mathematical models.

Smartphone and medical application use among dentists in China

BackgroundWith the development of information technology, an increasing number of healthcare professionals are using smartphones and mobile medical applications (apps) in their clinical practice. The objective of this study was to survey the use of smartphone-based medical apps among dentists in China and determine dentists’ perceptions of such apps.MethodsAll data were collected using anonymous questionnaires. The questionnaires for this cross-sectional study were randomly sent to dentists by email, and 379 dentists responded. Dentists’ demographics and perceptions of WeChat, QQ (the most popular social media apps in China) and other medical apps were assessed; the questionnaire including questions on the purpose, frequency, daily use, and opinion of the apps they used. Questions were answered using a Likert scale (1 = strongly agree, 2 = agree, 3 = not sure, 4 = disagree, and 5 = strongly disagree).ResultsA total of 379 valid responses were received; the respondents had a median age of 33.6 years old (63.3% female). All subjects (100%) owned a smartphone, and all of them installed and used WeChat or QQ in their clinical practice. Only 76% of subjects installed medical apps (other than WeChat and QQ) on their smartphones. Male dentists were more likely to install medical apps than female dentists (p < 0.05). With increasing age, the percentage of dentists who installed medical apps decreased (p < 0.001). The frequency and daily use were higher for WeChat and QQ than for medical apps. Medical apps were positively perceived, with dentists reporting that they recommend these medical apps to their peers (Likert score: 1.67 ± 0.68).ConclusionMedical apps were perceived to have a positive impact on clinical practice, education and patient care in dentistry by providing relevant medical information. However, there will still be much room for improvement in the future.

Mobile Medical Applications and Cloud Federation Challenges

Abstract Issue Given the importance, of cloud environments for mobile telemedicine information systems, focus is given in this paper on the challenges rising. We discuss the pros of the access to computing services and resources on demand without having own infrastructures, and the need of advanced interoperability data formats and application program interfaces (APIs) to facilitate the usage of the infrastructure. Description of the problem Cloud-Oriented Architecture (COA) describes the architecture, where applications act as services and serve other applications in the cloud environment. The aim is IT infrastructure and software applications to be optimized for their use in cloud computing environments. But what happens in the specific field of health as data interoperability for mobile telemedicine information systems? Results Two architectures were presented using a patient's compliance and engagement solution. A simple Representational State Transfer (REST) based architectural style was implemented in a three-layered architecture first and then compared to a cloud federation model. In the second the interaction goes through the federation via a middleware layer. Internal operations of cloud providers in the federation are still transparent to the cloud users. The middleware layer aims to coordinate the interaction with cloud users and providers in the federation. But, to avoid delays in those interactions interoperability of data formats and APIs. Lessons A Fast Healthcare Interoperability Resources (FHIR) based application was developed. Mobile telemedicine information systems are a strong instrument in patients' compliance. Many systems have proved that the used resources combined can solve clinical and administrative problems in a secure environment. Key messages The use of cloud is wide spread in the health sector. The challenge is to combine this infrastructure into one federated platform and maximize the added value by using advanced interoperability data formats and APIs.

Impact of mobile health and medical applications on clinical practice in gastroenterology.

Mobile health apps (MHAs) and medical apps (MAs) are becoming increasingly popular as digital interventions in a wide range of health-related applications in almost all sectors of healthcare. The surge in demand for digital medical solutions has been accelerated by the need for new diagnostic and therapeutic methods in the current coronavirus disease 2019 pandemic. This also applies to clinical practice in gastroenterology, which has, in many respects, undergone a recent digital transformation with numerous consequences that will impact patients and health care professionals in the near future. MHAs and MAs are considered to have great potential, especially for chronic diseases, as they can support the self-management of patients in many ways. Despite the great potential associated with the application of MHAs and MAs in gastroenterology and health care in general, there are numerous challenges to be met in the future, including both the ethical and legal aspects of applying this technology. The aim of this article is to provide an overview of the current status of MHA and MA use in the field of gastroenterology, describe the future perspectives in this field and point out some of the challenges that need to be addressed.

Efficient equalisers for OFDM and DFrFT-OCDM multicarrier systems in mobile E-health video broadcasting with machine learning perspectives

Recently, the orthogonal frequency-division multiplexing (OFDM) system has become an appropriate technique to be applied on the physical layer in various requests, mainly in wireless communication standards, which is the reason to use OFDM within mobile wireless medical applications. The OFDM with cyclic prefix (CP) can compensate lacks for the time-invariant multi-path channel effects using a single tap equaliser. However, for mobile wireless communication, such as the use of OFDM in ambulances, the Doppler shift is expected, which produces a doubly dispersive communication channel where a complex equaliser is needed. This paper proposes a low-complexity band LDLH factorisation equaliser to be applied in mobile medical communication systems. Moreover, the discrete fractional Fourier transform (DFrFT) is used to improve the communication system’s performance over the OFDM. The proposed low-complexity equaliser could improve the OFDM, and the DFrFT-orthogonal chirp-division multiplexing (DFrFT-OCDM) system’s performance, as illustrated in the simulation results. This proves that the recommended system outperforms the standard benchmark system, which is an essential factor as it is to be applied within mobile medical systems.

Impact of a smartphone application (KAIA COPD app) in combination with Activity Monitoring as a maintenance prOgram following PUlmonary Rehabilitation in COPD: the protocol for the AMOPUR Study, an international, multicenter, parallel group, randomized, controlled study

BackgroundIncreasing physical activity (PA) is considered to be an important factor for the efficient management of chronic obstructive pulmonary disease (COPD). Successful methods required to achieve improvements in PA following pulmonary rehabilitation (PR), however, are rarely reported. Therefore, we will conduct this trial to evaluate the effectiveness of using a COPD management program delivered to the patient via the KAIA COPD app, a mobile medical application, after the completion of PR.MethodsThis is the protocol for a randomized, controlled, open-label, multicentered trial that will be carried out at inpatient PR hospital centers in Germany and Switzerland. The interventions will involve the use of the KAIA COPD app program (Arm 1) or an active comparator, i.e., usual care (Arm 2). Patients completing an in-hospital PR program and consenting to participate in the study will be screened with the inclusion and exclusion criteria and enrolled in the study. After fulfilling the screening requirements, the patients will be randomized into one of the two arms with parallel group assignment in a 1:1 ratio. The training program will be delivered to the participants grouped in Arm 1 via the KAIA COPD app and to participants grouped in Arm 2 via the regular recommendations or standard of care by the PI. In total, 104 participants will be included in the trial. The treatment period will last for 24 weeks. Electronic versions of questionnaires will be used to collect patient-reported assessments remotely. The primary outcome measure is the change in physical activity of the intervention group in comparison to the control group, measured over 1 week as the mean steps per day with a Polar A 370 activity tracker, from baseline (end of PR) to the 6-month follow-up. The secondary outcome measures are functional exercise capacity, health status, sleep quality, exacerbation rate, and depression and anxiety symptoms assessed at several intervals.DiscussionThis study seeks to prove the effects of the KAIA COPD mobile application in COPD patients after PR. The app offers educational, exercise training plus activity monitoring and motivational programs that can be easily implemented in the patient’s home setting, enabling patients to maintain the effects that are typically elicited in the short term after pulmonary rehabilitation for the long term.Trial registrationGerman Clinical Trials Register (DRKS00017275). Protocol version 2.0 dated 3 June 2019.

4230 An App a Day: Examining Clinical Evidence for Safety and Efficacy of Diabetes Mobile Health Apps

OBJECTIVES/GOALS: Mobile health applications are widely used by the public but vary in how they are classified and regulated. This study examines the evidence of the safety and efficacy of mobile medical applications specifically focusing on those that are used to manage diabetes. METHODS/STUDY POPULATION: To understand the current regulatory landscape of mobile health applications (mHealth apps) for diabetes, a literature survey was conducted using the Pubmed database. Top mHealth apps were identified by searching the Apple store website using 10 key terms associated with diabetes management applications. A maximum of ten results, when available for each key term, were studied by exploring the FDA databases to understand how the products were regulated and if any were subject to recalls. These selected mHealth apps were also searched on clinicaltrials.gov to see if there were ongoing or completed clinical trials and if the trials were designed to include efficacy and safety outcome measures. RESULTS/ANTICIPATED RESULTS: Of the 71 mHealth apps for diabetes management that were identified, 16 were regulated. These products spanned a diverse range of functions including device data and decision support systems. Although 11 had clinical trial data demonstrating efficacy, only 4 had data demonstrating both efficacy and safety. Two of the regulated applications were subject to product recalls due to programming errors that resulted in incorrect insulin dose recommendations. These two applications had clinical trials evaluating efficacy but not safety. The companies noted that the incorrect insulin calculation from their respective mHealth app could cause either a low- or high-impact hypoglycemic event. DISCUSSION/SIGNIFICANCE OF IMPACT: With little to no clinical trial data to support their safety and efficacy, mHealth apps in the diabetes marketplace pose risks for patients as evidenced by recent safety-related recalls. The results of this study indicate that these products may need to be more tightly regulated.

Development of a health technology assessment module for evaluating mobile medical applications.

The aim of this study was to develop a module which could be used to facilitate the assessment of mobile medical applications (MMA) for regulatory and reimbursement purposes. In-depth interviews were conducted with policymakers, healthcare practitioners, and application developers to determine possible pathways and impediments to MMA reimbursement. These findings were integrated with our previous research on MMA reimbursement and regulation to create a module that could be used with existing health technology assessment (HTA) methodological frameworks to guide the evaluation of MMAs. Stakeholders indicated that they trust how traditional medical devices are currently appraised for reimbursement. They were concerned that there was a lack of clarity regarding which entity in the health system was responsible for determining app quality. They were also concerned about the digital health literacy of medical practitioners and patients. Concepts emerging from our previous research were reinforced by the interview findings, including that the connectivity and cybersecurity of apps need to be considered, along with an assessment of software reliability. It is also critical that the credibility of the information presented in apps is assessed as it could potentially mislead patients and clinicians. An MMA evaluation module was created that would enable an existing HTA process to be adapted for the assessment of MMA technology. These adaptations include making provisions for an assessment of app cybersecurity, the impact on MMA clinical utility of software updates, and compatibility issues. Items to address concerns around practitioner responsibility and app misinformation were also incorporated into the module.

Thailand medical mobile application for patients triage base on criteria based dispatch protocol

BackgroundBefore patients are admitted into the emergency department, it is important to undertake a pre-hospital process, both in terms of treatment performance and a request for resources from an emergency unit. The existing system to triage patients in Thailand is not functioning to its full capacity in either the primary medical system or pre-hospital treatment with shortcomings in the areas of speed, features, and appropriate systems. There is a high possibility of issuing a false Initial Dispatch Code (IDC), which will cause the over or underutilisation of emergency resources, such as rescue teams, community hospitals and emergency medical volunteers.MethodsA usability system design, together with a reliability test, was applied to develop an application to optimise the pre-hospital process, specifically to sort patients, using an IDC to improve the request for emergency resources. The triage mobile application was developed on both iOS and Android operating systems to support patient triage based on Criteria Based Dispatch (CBD). The 25 main symptom categories covered by CBD were used to design and develop the application, and 12 emergency medical staff, including doctors and nurses, were asked to test the system in the aspects of triage protocol correction, triage reliability, usability and user satisfaction.ResultsThe results of testing the proposed triage application were compared with the time used to triage by experienced staff and it was found that, in non-trauma cases, it was faster and more effective to use the application for emergency operations and to correct the IDC code representation.ConclusionsThe triage application will be utilised to support the pre-hospital process and to classify patients’ conditions before they are admitted to the Emergency Department (ED). The application is suitable for users who are not medical emergency staff. Patients with non-trauma symptoms may be a suitable group to use the application in terms of time used to identify IDC for their own symptoms. The use of the application can be beneficial for those who wish to self-identify their symptoms before requesting medical services.

Uncertain Multiplicative Language Decision Method Based on Group Compromise Framework for Evaluation of Mobile Medical APPs in China.

The mobile medical application (M-medical APP) can optimize medical service process and reduce health management costs for users, which has become an important complementary form of traditional medical services. To assist users including patients choose the ideal M-medical APP, we proposed a novel multiple attribute group decision making algorithm based on group compromise framework, which need not determine the weight of decision-maker. The algorithm utilized an uncertain multiplicative linguistic variable to measure the individual original preference to express the real evaluation information as much as possible. The attribute weight was calculated by maximizing the differences among alternatives. It determined the individual alternatives ranking according to the net flow of each alternative. By solved the 0–1 optimal model with the objective of minimizing the differences between individual ranking, the ultimate group compromise ranking was obtained. Then we took 10 well-known M-medical APPs in Chinese as an example, we summarized service categories provided for users and constructed the assessment system consisting of 8 indexes considering the service quality users are concerned with. Finally, the effectiveness and superiority of the proposed method and the consistency of ranking results were verified, through comparing the group ranking results of 3 similar algorithms. The experiments show that group compromise ranking is sensitive to attribute weight.

A Systematic Literature Review Paper on Online Medical Mobile Applications in Malaysia

Abstract—The introduction of mobile devices to the worldwide market has marvelous possible to disturb the way Health care is providing. In this paper, we will overview the work done in the five years from 2014 to 2018 in the field of mHealth in Research perspective. For that purpose, we choose the Scopus database to review the past research published on mHealth in Malaysia. For that purpose, the quantitative review has been observed in bibliometric analysis and a Qualitative review is done through systematic review in the order through PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analysis). After the selection of 58 papers, the process based on the different steps. In the first step, the corresponding to Microsoft excels in a descriptive analysis of the published literature on mobile Healthcare in the field of online Healthcare like the distribution of the year, distribution of subjects and distribution of the author. Quantitative studies are 15 in number collected from the past literature, the researcher used the quantitative method for measuring the results Quantitative research collects data that will be processed to understand the indicators, overall trends, and requirements of the market. The qualitative studies collected from past research were 27 in numbers, collected studies were processed on the excel sheet to find out the areas discussed in the past. Traditional Health Care of Malaysia is top of the list in the world, but the mHealth still needs to improve in the region. Past studies in the mHealth are discussing physical health and wearable devices in detail with connectivity to smartphones but serious diseases are cover in very some studies. Like diabetes and HIV apps and patient are not highlighted in the collected data. Patient record management and coordination with families are also part of some research studies and that is very important for recovery in some cases.

The role of smartphone applications in clinical practice: a review.

The number of medical mobile phone applications continues to grow. Although otorhinolaryngology-specific applications represent a small proportion, there are exciting innovations emerging for the specialty. This article will assess the number of applications available and review how they may be used in clinical practice. The application stores of the two most popular mobile phone platforms, Apple and android, were searched using multiple search terms. A total of 107 ENT applications were identified and categorised according to intended use. Eight applications were reviewed in more detail and assessed on whether a doctor or allied health professional was involved in their design and if they were evidence-based. There are a number of ENT-specific smartphone applications currently available. As the technology progresses, their scope has extended beyond being purely for reference. Nevertheless, it remains difficult to assess the validity and security of these applications.

Individualised MRI training for paediatric neuroimaging: A child-focused approach

Magnetic Resonance Imaging (MRI) in paediatric cohorts is often complicated by reluctance to enter the scanner and head motion-related imaging artefacts. The process is particularly challenging for children with neurodevelopmental disorders where coping with novel task demands in an unfamiliar setting may be more difficult due to symptom-related deficits or distress. These issues often give rise to excessive head motion that can significantly reduce the quality of images acquired, or render data unusable. Here we report an individualised MRI training procedure that enables children with Autism Spectrum Disorders (ASD) to better tolerate the MRI scanner environment based on a child-focused approach and individualised familiarisation strategies, including a pre-visit interview, familiarisation package, and personalised rewards. A medical imaging mobile application was utilised to familiarise participants to multi-sensory aspects of the neuroimaging experience through a variety of themed mini-games and activities. The MRI training procedure was implemented for monozygotic twins (n = 12; 6 twin pairs; age range 7.1–12.9 years) concordant or discordant for ASD. MRI image quality indices were better or comparable to images acquired from a large independent multi-centre ASD cohort. Present findings are promising and suggest that child-focused strategies could improve the quality of paediatric neuroimaging in clinical populations.

An efficient architecture for medical high-resolution images transmission in mobile telemedicine systems

Background and ObjectiveThe medical high-resolution image is very important in image processing and computer vision applications, which plays a critical role in image-guided diagnosis, clinical trials, consultation, and case discussion. How to efficiently access medical high-resolution images in mobile telemedicine systems is becoming a big challenge. Therefore, this work proposes an efficient pyramid architecture for optimizing medical high-resolution images transmission and rendering. MethodsThe proposed architecture consists of three core schemes: (1) unbalance pyramid scheme based on geometric relationship, (2) indexing scheme based on hash table and lattice partitioning and (3) query scheme based on similar matching. Then, we design the responsive service components: generating service, indexing service, and query service. Finally, these services are combined into a prototype system that enables efficient transmission and rendering of medical high-resolution images. ResultsThe result shows that the unbalance pyramid scheme can quickly generate the pyramid structure and the corresponding image files. The indexing scheme can create the index structure and the index file in real-time. The query scheme can not only match the best layer to which the image block belongs in real-time, but also can accurately capture the query image block. ConclusionsThe prototype system based on proposed architecture is fully compliant with the DICOM standard, which can be seamlessly integrated with other existing medical systems or mobile applications, and used in various scenarios such as diagnosis, research, and education.

Mobile phone apps for clinical decision support in pregnancy: a scoping review

BackgroundThe use of digital technology in healthcare has been found to be useful for data collection, provision of health information and communications. Despite increasing use of medical mobile phone applications (apps), by both clinicians and patients, there appears to be a paucity of peer-reviewed publications evaluating their use, particularly in pregnancy. This scoping review explored the use of mobile phone apps for clinical decision support in pregnancy. Specific objectives were to: 1. determine the current landscape of mobile phone app use for clinical decision support in pregnancy; 2. identify perceived benefits and potential hazards of use and 3. identify facilitators and barriers to implementation of these apps into clinical practice.MethodsPapers eligible for inclusion were primary research or reports on the development and evaluation of apps for use by clinicians for decision support in pregnancy, published in peer-reviewed journals. Research databases included Medline, Embase, PsychoInfo, the Cochrane Database of Systematic Reviews and the online digital health journals JMIR mHealth and uHealth. Charting and thematic analysis was undertaken using NVivo qualitative data management software and the Framework approach.ResultsAfter screening for eligibility, 13 papers were identified, mainly reporting early stage development of the mobile app, and feasibility or acceptability studies designed to inform further development. Thematic analysis revealed four main themes across the included papers: 1. acceptability and satisfaction; 2. ease of use and portability; 3. multi-functionality and 4. the importance of user involvement in development and evaluation.ConclusionsThis review highlights the benefits of mobile apps for clinical decision support in pregnancy and potential barriers to implementation, but reveals a lack of rigorous reporting of evaluation of their use and data security. This situation may change, however, following the issue of FDA and MHRA guidelines and implementation of UK government and other international strategies. Overall, the findings suggest that ease of use, portability and multi-functionality make mobile apps for clinical decision support in pregnancy useful and acceptable tools for clinicians.

Has Technology Improved Diabetes Management in Relation to Age, Gender, and Ethnicity?

To review the current state of diabetes technology adoption and describe impact on outcomes in the context of age, gender, and ethnicity. We will discuss barriers and propose solutions that may help facilitate the adoption. We are witnessing rapid evolution and increase in adoption of diabetes technology in all its forms, including insulin delivery and glucose monitoring devices, mobile medical applications, and telemedicine. This technology has a great potential to improve diabetes-related outcomes, including acute and chronic complications as well as quality of life for people living with diabetes. However, currently available outcome data are showing modest efficacy and evidence for disparities when it comes to age, gender, and ethnicity. Despite multiple barriers, the adoption of technology is steadily increasing. It is clear that disparities exist in terms of access to and use of technology, but they may be at least in part driven by unmet needs of end users and as such are not unsurmountable. While more research is needed to identify the specific causes for the disparities, future development of diabetes technology that is based on adaptation of behavioral theories has a potential to address the gaps. The disparities can be lessened by understanding the needs of end users and with improvement in personalization of technology, allowing the right device to be used by the right patient. Targeted interventions to increase awareness and education and help navigate the processes involved in currently available technology may help diminish the gaps in health equity.