Role of Personalized Smart Phone Devices in Preventive Health Care
Let us take an example of an elderly person who has cardiac ailments. He cannot be provided a recommendation of an excruciating fitness regime which can otherwise be recommended to a young and healthy individual. Therefore, to account for a higher degree of personalization, information regarding the personal traits of the user needs to be integrated with the application.
With technological advancements, we will see intelligent wellness applications replacing these generic ones. These smart apps are expected to address the problem in a multidimensional approach, including:
1. Tapping into the user's personal health record to get meaningful insight into the patient's personal, behavioral and clinical state. This will enable the application to recommend a personalized wellness / fitness regime for the user instead of a generic recommendation. Taking the same example as above, by factoring in this dimension, we can ensure that the cardiac patient is recommended a milder form of exercise considering his age and health pre-disposition compared to a healthy, young individual.
2. Monitoring real-time wellness data by suitably integrating with device sensors (such as GPS chipsets, accelerometer, gyroscope etc.) available within smart phones. For e.g., the GPS chipset can calculate speed of jogging, the accelerometer and gyroscope could help track the spatial orientations thereby differentiating between activities such as pushups or climbing a staircase etc. Inculcating such features into the application allows users to track the progress of their fitness objectives accurately.
3. Providing innovative, pro-active features (such as alerts and notifications), and thereby enhancing the user experience. For e.g., by integrating with the user's calendar, the application can pro-actively alert the users about an impending exercise schedule. GPS feature can be leveraged by the application to notify the user of prevalent infectious diseases when he travels to foreign locations.
Applications developed with this underlying approach will help in adding in the personalization factor. Further, by incentivizing the usage of such applications, health plans can ensure their increased adoption with their subscriber base. Creating such an ecosystem where the primary motivation is to keep the members and their families fit and healthy will also go a long way in reducing the overall healthcare costs of payers.