Recent improvements in healthcare technology have transformed the healthcare ecosystem. One of the primary factors contributing to higher efficiency, greater satisfaction, decreased costs, and enhanced health results, is Patient Engagement.
Patient engagement solutions can be viewed as a tool that supports and allows patients to be part of their care course continuously. It assures that the subjects are well informed about all the potential treatments, recovery, prescription options, and engage in their treatment decisions.
While designing a patient engagement solution system, it is essential to note that most subjects are regularly not from the healthcare organization and may not be intimate with healthcare’s basic expressions and technologies. The absence of health literacy is the major obstacle that must be overwhelmed while conceiving a patient engagement solution. Many such apparent rifts may harm patient encounters, which in turn deteriorates quality-of-care and increases cost.
Inadequate patient engagement approaches have a radical impact on hospitals and the healthcare area in general — and that’s not to consider patients’ outcomes.
Patients expect doctors to understand their needs and advice treatment accordingly. Hospitals that do not partake such measures, risk losing their patients. There is a commercial upside to patient engagement solutions as well. When entering into risk-based contracts, if hospitals help in building a healthier community, the economic gains can be huge.
Patients who aren’t bothered to actively learn about their health are less likely to stick to the designated treatment plans. Increasing healthcare expenses lead to lesser patients’ engagement in their health and well-being. People avoiding conventionally planned checkups and neglect their chronic ailment management plans usually fail to detect the early signs of conditions, leading to elongated and more costly treatment.
One of the most prominent purposes of IoT in healthcare is remote patient monitoring. Patients use associated devices to obtain relevant medical data and share it with their doctors. For example, IoT devices can accumulate vital signs, such as heartbeat, glucose variations, weight, mood fluctuations, and sleeping patterns. All this information is forwarded to the provider, empowering them to seize on initial signs of variation in patients’ overall well-being. When patients are more aware of their medical circumstances and the data surrounding them, they are more regular in monitoring their health, making them enthusiastic towards selecting a treatment option if applicable.
AI can go over patient information, recognize patients with a high chance of contracting a particular illness, and predict their healthcare requirements. Physicians reach out to high-risk cases and request supplementary screenings or recommend a personalized preventive/curing treatment plan based on this knowledge.
Calling a hospital can be difficult at times, as patient can be placed on hold for increased periods. Intelligent chatbots can work as the first response line by differentiating separating patient calls on an emergency basis, resolving simple queries, leading patients to helpful resources, or redirecting them to a human representative. Chatbots answer patients at any time, extend consistent responses, and can be quickly retrained.
When selecting a patient engagement solution, healthcare organizations have three alternatives to choose from. They can either acquire a current solution, develop their software on an existing content management system, or generate a solution from scratch without any software or workflow constraints. What accommodates hospitals the most will depend on their overall processes, coveted features, resources, and practice strategies.