A review on usability, security and privacy for mobile health applications

Mobile health applications, or mHealth, deal with health issues or medical supported by smartphones. mHealth applications are able to improve both the safety of the patients and the quality of medical services. It is considered to be a recent field with great potential that appeal to the interests of the stakeholders and the developers. By adopting the systematic literature review method, this paper presents a broad review of usability, security and privacy for mHealth applications. Specifically, we discussed the limitations as well the recommendations of USP characteristics in mHealth applications. It is crucial to learn and understand to overcome the conflict between usability, security and privacy in mHealth applications

A Systems Engineering Approach to a Just-In-Time intervention system

Systems Engineering, a diverse engineering field provides tools and processes to develop efficient systems across different domains. Design thinking, and Agile methodologies are some of the commonly used tools in system design. A mobile health solution using Systems Engineering principle is proposed in managing one of the costliest and common chronic diseases, Asthma. Out of many chronic diseases, Asthma is chosen to be studied, since it has shown a multi-fold increase in the last thirty years. Also, one in nine children in the United States is affected by Asthma. There is no cure for this chronic disease, but it can be controlled by proper medication and symptom tracking. The Just-in-Time Asthma Self-Management and Intervention (JASMIN) is a hybrid mobile application that provides efficient ways for patients to track the asthma symptoms, to learn and get educated about Asthma and their allergens, to communicate and get the necessary support from the care team in the long-term asthma control. JASMIN system is built on a Bio-Behavioral model which encourages and enables the use of system including parents, peers, school personnel and health care providers. JASMIN sends text message interventions to the entire care team when the child fails to track the symptom, ensuring the regularity in symptom adherence. The action plan which is rarely used when written in a physical journal has been given a digital form in JASMIN enabling the provider or parent to update it whenever the need arises. JASMIN is proposed to be used in a pilot study at East Tennessee Children Hospital recruiting 60 children who are between 7-17 years old and their parents and the providers treating their asthma

A model for context awareness for mobile applications using multiple-input sources

Context-aware computing enables mobile applications to discover and benefit from valuable context information, such as user location, time of day and current activity. However, determining the users’ context throughout their daily activities is one of the main challenges of context-aware computing. With the increasing number of built-in mobile sensors and other input sources, existing context models do not effectively handle context information related to personal user context. The objective of this research was to develop an improved context-aware model to support the context awareness needs of mobile applications. An existing context-aware model was selected as the most complete model to use as a basis for the proposed model to support context awareness in mobile applications. The existing context-aware model was modified to address the shortcomings of existing models in dealing with context information related to personal user context. The proposed model supports four different context dimensions, namely Physical, User Activity, Health and User Preferences. A prototype, called CoPro was developed, based on the proposed model, to demonstrate the effectiveness of the model. Several experiments were designed and conducted to determine if CoPro was effective, reliable and capable. CoPro was considered effective as it produced low-level context as well as inferred context. The reliability of the model was confirmed by evaluating CoPro using Quality of Context (QoC) metrics such as Accuracy, Freshness, Certainty and Completeness. CoPro was also found to be capable of dealing with the limitations of the mobile computing platform such as limited processing power. The research determined that the proposed context-aware model can be used to successfully support context awareness in mobile applications. Design recommendations were proposed and future work will involve converting the CoPro prototype into middleware in the form of an API to provide easier access to context awareness support in mobile applications