Diverse disciplines, including Human-Computer Interaction have explored how mobile health (mHealth) applications can transform healthcare and health promotion. Increasingly, research has explored how mHealth tools can promote healthy behaviors within vulnerable populations-groups that disproportionately experience barriers to wellness. We conducted a systematic review of 83 papers from diverse disciplines to characterize the design and impact of mHealth tools in low-socioeconomic (low-SES) and racial/ethnic minority individuals. Our findings highlight that the diversity within low-SES and racial/ethnic minority groups was not reflected in the populations studied. Most studies focused on improving the health of individuals, often neglecting factors at the community and society levels that influence health disparities. Moreover, few improvements in health outcomes were demonstrated. We further discuss factors that acted as barriers and facilitators of mHealth intervention adoption. Our findings highlight trends that can drive critically needed digital health innovations for vulnerable populations.

Although the positive effects of exercise on the well-being and quality of independent living for older adults are well accepted, many elderly individuals lack access to exercise facilities, or the skills and motivation to perform exercise at home. To provide a more engaging environment that promotes physical activity, various fitness applications have been proposed. Many of the available products, however, are geared toward a younger population and are not appropriate or engaging for an older population. To address these issues, we developed an automated interactive exercise coaching system using the Microsoft Kinect. The coaching system guides users through a series of video exercises, tracks and measures their movements, provides real-time feedback, and records their performance over time. Our system consists of exercises to improve balance, flexibility, strength, and endurance, with the aim of reducing fall risk and improving performance of daily activities. In this paper, we report on the development of the exercise system, discuss the results of our recent field pilot study with six independently living elderly individuals, and highlight the lessons learned relating to the in-home system setup, user tracking, feedback, and exercise performance evaluation.

Sensory-motor performance is indicative of both cognitive and physical function. The Halstead-Reitan finger tapping test is a measure of sensory-motor speed commonly used to assess function as part of a neuropsychological evaluation. Despite the widespread use of this test, the underlying motor and cognitive processes driving tapping behavior during the test are not well characterized or understood. This lack of understanding may make clinical inferences from test results about health or disease state less accurate because important aspects of the task such as variability or fatigue are unmeasured. To overcome these limitations, we enhanced the tapper with a sensor that enables us to more fully characterize all the aspects of tapping. This modification enabled us to decompose the tapping performance into six component phases and represent each phase with a set of parameters having clear functional interpretation. This results in a set of 29 total parameters for each trial, including change in tapping over time, and trial-to-trial and tap-to-tap variability. These parameters can be used to more precisely link different aspects of cognition or motor function to tapping behavior. We demonstrate the benefits of this new instrument with a simple hypothesis-driven trial comparing single and dual-task tapping.

Early and reliable detection of cognitive decline is one of the most important challenges of current healthcare. In this project, we developed an approach whereby a frequently played computer game can be used to assess a variety of cognitive processes and estimate the results of the pen-and-paper trail making test (TMT)--known to measure executive function, as well as visual pattern recognition, speed of processing, working memory, and set-switching ability. We developed a computational model of the TMT based on a decomposition of the test into several independent processes, each characterized by a set of parameters that can be estimated from play of a computer game designed to resemble the TMT. An empirical evaluation of the model suggests that it is possible to use the game data to estimate the parameters of the underlying cognitive processes and using the values of the parameters to estimate the TMT performance. Cognitive measures and trends in these measures can be used to identify individuals for further assessment, to provide a mechanism for improving the early detection of neurological problems, and to provide feedback and monitoring for cognitive interventions in the home.

In emergency medicine, patient care is intense and stressful, often requiring paramedics to consult with remote physicians to convey the patient's condition. We present a framework for context-management in telemedicine developed in collaboration between engineers, physicians, and paramedics. We describe a mobile platform and embedded wireless sensors to capture physiological and audio context into a comprehensive patient record, accessible locally and remotely. We describe a first evaluation of this technology by trained paramedics in simulated scenarios and evaluate key aspects of system performance. Early results suggest that wireless sensing can provide reliable and low latency data both locally and to remote physicians. In addition, audio context capture is a promising approach to capturing a comprehensive patient record, with a low rate of medically important errors.

OBJECTIVE: Patient portals may improve pediatric chronic disease outcomes, but few have been rigorously evaluated for usability by parents. Using scenario-based testing with think-aloud protocols, we evaluated the usability of portals for parents of children with cystic fibrosis, diabetes or arthritis. DESIGN Sixteen parents used a prototype and test data to complete 14 tasks followed by a validated satisfaction questionnaire. Three iterations of the prototype were used. MEASUREMENTS: During the usability testing, we measured the time it took participants to complete or give up on each task. Sessions were videotaped and content-analyzed for common themes. Following testing, participants completed the Computer Usability Satisfaction Questionnaire which measured their opinions on the efficiency of the system, its ease of use, and the likeability of the system interface. A 7-point Likert scale was used, with seven indicating the highest possible satisfaction. RESULTS: Mean task completion times ranged from 73 (+/- 61) seconds to locate a document to 431 (+/- 286) seconds to graph laboratory results. Tasks such as graphing, location of data, requesting access, and data interpretation were challenging. Satisfaction was greatest for interface pleasantness (5.9 +/- 0.7) and likeability (5.8 +/- 0.6) and lowest for error messages (2.3 +/- 1.2) and clarity of information (4.2 +/- 1.4). Overall mean satisfaction scores improved between iteration one and three. CONCLUSIONS: Despite parental involvement and prior heuristic testing, scenario-based testing demonstrated difficulties in navigation, medical language complexity, error recovery, and provider-based organizational schema. While such usability testing can be expensive, the current study demonstrates that it can assist in making healthcare system interfaces for laypersons more user-friendly and potentially more functional for patients and their families.

Unexpected stimuli are a challenge to any machine learning algorithm. Here we identify distinct types of unexpected events, focusing on 'incongruent events' - when 'general level' and 'specific level' classifiers give conflicting predictions. We define a formal framework for the representation and processing of incongruent events: starting from the notion of label hierarchy, we show how partial order on labels can be deduced from such hierarchies. For each event, we compute its probability in different ways, based on adjacent levels (according to the partial order) in the label hierarchy . An incongruent event is an event where the probability computed based on some more specific level (in accordance with the partial order) is much smaller than the probability computed based on some more general level, leading to conflicting predictions. We derive algorithms to detect incongruent events from different types of hierarchies, corresponding to class membership or part membership. Respectively, we show promising results with real data on two specific problems: Out Of Vocabulary words in speech recognition, and the identification of a new sub-class (e.g., the face of a new individual) in audio-visual facial object recognition.

OBJECTIVE: The aim of this study was to evaluate the impact of introducing health information technology (HIT) on physician-patient interactions during outpatient visits. DESIGN: This was a longitudinal pre-post study: two months before and one and seven months after introduction of examination room computers. Patient questionnaires (n = 313) after primary care visits with physicians (n = 8) within an integrated delivery system. There were three patient satisfaction domains: (1) satisfaction with visit components, (2) comprehension of the visit, and (3) perceptions of the physician's use of the computer. RESULTS: Patients reported that physicians used computers in 82.3% of visits. Compared with baseline, overall patient satisfaction with visits increased seven months after the introduction of computers (odds ratio [OR] = 1.50; 95% confidence interval [CI]: 1.01-2.22), as did satisfaction with physicians' familiarity with patients (OR = 1.60, 95% CI: 1.01-2.52), communication about medical issues (OR = 1.61; 95% CI: 1.05-2.47), and comprehension of decisions made during the visit (OR = 1.63; 95% CI: 1.06-2.50). In contrast, there were no significant changes in patient satisfaction with comprehension of self-care responsibilities, communication about psychosocial issues, or available visit time. Seven months post-introduction, patients were more likely to report that the computer helped the visit run in a more timely manner (OR = 1.76; 95% CI: 1.28-2.42) compared with the first month after introduction. There were no other significant changes in patient perceptions of the computer use over time. CONCLUSION: The examination room computers appeared to have positive effects on physician-patient interactions related to medical communication without significant negative effects on other areas such as time available for patient concerns. Further study is needed to better understand HIT use during outpatient visits.

The U.S. has experienced a rapid growth in the use of computers by elders. E-mail, Web browsing, and computer games are among the most common routine activities for this group of users. In this paper, we describe techniques for unobtrusively monitoring naturally occurring computer interactions to detect sustained changes in cognitive performance. Researchers have demonstrated the importance of the early detection of cognitive decline. Users over the age of 75 are at risk for medically related cognitive problems and confusion, and early detection allows for more effective clinical intervention. In this paper, we present algorithms for inferring a user's cognitive performance using monitoring data from computer games and psychomotor measurements associated with keyboard entry and mouse movement. The inferences are then used to classify significant performance changes, and additionally, to adapt computer interfaces with tailored hints and assistance when needed. These methods were tested in a group of elders in a residential facility.

OBJECTIVE: The goal of the project was to create recommendations and design specifications for a multimedia tool to enhance the informed consent process for clinical trials. The authors focused on the needs of patients with potential cognitive impairment. DESIGN: The authors first performed a needs assessment using focus groups and interviews with health care researchers, institutional review board members, and three groups of patients (who had depression, breast cancer, or schizophrenia). Their feedback was incorporated into the design of a prototype multimedia tool. The design included general modules with information about clinical trials and informed consent as well as trial-specific modules. The authors then used the resulting prototype multimedia tool for informed consent in follow-up focus groups and interviews to obtain feedback on the feasibility and potential effectiveness of using such a tool routinely for clinical trials. RESULTS: The authors showed that it was feasible to adapt a structured multimedia informed consent system to a specific clinical trial and to incorporate techniques to improve the understandability of informed consent content. Patients generally felt the prototype system was useful and could replace the paper document. They felt using the system would be less stressful, because they would have a greater sense of control and could proceed at their own pace. They liked the hierarchic and modular approach to providing information and felt that the use of video made information more understandable. Researchers and institutional review board members also found the system to be valuable in these ways but had concerns about how to review the system for potential biases in presentation and about the legal issues associated with replacing the paper document.

Consumer health informatics represents a diverse field devoted to the development, implementation, and research on telecommunication and computer applications designed for consumers to access information on a wide variety of health care topics. This technology, both hardware and software, is part of a growing trend toward empowering consumers to take a more active role in their own health care and to provide the necessary information to enhance their decision making. Research indicates that access to health information enables patients to be more active participants in the treatment process, which can lead to better medical outcomes. This article covers the technology advances, the computer programs that are currently available, and the basic research that addresses both the effectiveness of computer health informatics and its impact on the future direction of health care. © 1995 John Wiley & Sons, Inc.