The Journal of mHealth Vol 1 Issue 3 (June 2014) - Page 7

Deploying mHealth: Overcoming Barriers to Adoption Many medical disciplines are now underscored by the use of data-driven systems, yet the data, itself, can be the source of problems. New care and insurance models, electronic information transmission, and inter-connected boundaries among industry participants increases the complexity of managing protected health information. The consequences of digitising healthcare means that there are an ever-increasing number of networked connections within the system, which in turn is increasing the chance of data breaches, malware infections, and vulnerability to unauthorised access. As technology disseminates beyond the confines of the hospital or GP practice the challenges of maintaining data integrity become even more difficult. Introducing mobile and digital solutions to a range of stakeholders, using different technology providers, decentralises the role of data management, which can in turn result in greater opportunity for breach. Similarly, where organisations use ‘bring-your-own-device (BYOD)’ Applications must be able to communicate, which means developers and system providers need to use internationally accepted standards, in order to ensure that they can be easily adopted. These standards become even more vital when organisations begin to demand and implement a multi-system solution, and require those solutions to inter-connect. In order to be effective, technology must also integrate within work flows. Healthcare professionals are unlikely to use a system that places unnecessary, additional, burdens on their time or working practices. Careful strategic management is needed to ensure that a solution does what it is designed to do; that in doing so it does not add additional complication to existing care packages; and that the necessary support structures are instigated to help deliver seamless deployment. This may mean using small trails to test deployment, and determine implementation strategies. It may also mean ensuring that the necessary training and assistance is in place, to help considered proprietary and is held within compartmentalised silos, all of which have different ownership, management and processing protocols. It is recognised, that for a true digital revolution of healthcare, it is necessary for the many different IT, mobile/ digital systems, and networks to interact, and exchange data, with one another. In doing so this delivers systems that are able to analyse, and utilise, data in order to derive useful insight. This exchange of data across networks is something that has traditionally been problematic, and despite some changes for the better, remains a major barrier to deployment. ADOPTION AT SCALE The ability to deploy mobile and digital health solutions across a small number of users, is relatively straight-forward. Difficulties arise when trying to deliver those same solutions at scale, to a much larger user base. Increasing users, raises the amount of data produced, as well Despite the promise and potential of mobile and digital health solutions...there remains a significant number of ‘barriers’ that continue to hinder adoption and dissemination of technology methods to deploy mobile technologies then it becomes necessary to implement robust models for asset management, policy enforcement, and distributing profiles, apps and content. Potential patient safety, economic, and reputational damage may arise if organisations lack appropriate security and privacy controls. INTEGRATION The ability to effectively integrate mobile and digital health solutions within existing infrastructure is critical. Integration encompasses both the technological and the human factors of care delivery. users adapt to the technology. DATA SILOS The current rise of data-driven solutions in healthcare is resulting in the creation of large volumes of clinical, personal, operational, and institutional data that is growing at a rapid pace. As more digital solutions are deployed then consequently the amounts of data will continue to rise. Data can obviously have very significant and beneficial outcomes on health, however, it can also be problematic. As we discussed earlier there are the issues of data management, but one must also consider the challenges of cross network data connections. At present much of the data collected via digital systems is as the required number of connections involved. It also means that there are greater burdens on networks, an increased potential for security breaches, as well as difficulties integrating with other care provision. Each issue grows exponentially with the addition of u