Patients : Wearable Devices to monitor Blood Pressure, heart rate, fitness bands, glucometer and wireless devices to monitor Patient Vitals Devices. Any deviations or changes in the Vitals can send alerts or alarms. This will assist patients in Cost reduction cutting down hospital visits and readmissions.

Physicians : Physicians can monitor the patients health using these wearable IoMT devices and best treatments to be planned , attend to emergency medical situations and the outcomes. This will assist in improved/proactive medical treatment , faster diagnosis ,and informed decisions.

Hospitals : Realtime monitoring of patients , monitoring equipment and deployment of staff , spread of disease, requirements to meet patients emergency situation , asset management, management of drugs etc.

Health Insurance Companies : IoMT devices can be used by healthcare insurers for underwriting and claims operations along with risk assessment . They also assist in assessing false claims, ensure transparency , offer health incentive and adequate visibility into underlying thought behind every decision made and process outcomes error free.

It is pivotal to discuss the major components of IoMT platforms that cater to health care business needs and that mine the insights from collected data.

• Generation of data by connected devices and sensors
• Data format conversion and integration to allow convergence from a different source, to build related intelligence on top of the data collected from devices and perform defined actions.
• Analytics to leverage the volume of data and process real-time for efficient services for the users.
• Interaction with different end-user applications and user-centric services (reporting to the physician, monitoring centers, etc.) for required actions or awareness based on analytics results from the above step.
• Connected Devices

Devices are an integral part of any IoMT solution since they enable the capability of generating real-time user vitals. But more important is their connectivity to the Internet as the data must be sent to a central location, where intelligence can be built on this data to provide better and efficient services to the user.

To build sensible, context-driven wellness and health applications that generate important patient-designated cues and alerts, IoMT solution must be able to integrate data from multiple sources and medical devices (e.g. blood pressure monitors, scales, thermometers, pulse-oximeters, glucose meters, ECG monitors, imaging system) to various types of equipment like fitness and strength machines. Solutions should also be able to integrate patient-targeted contextual data with mobile devices, social community feeds, and other web assets.

Data analytics is the key to make vital patient diagnoses and provide actionable services. Simply collecting data and monitoring vital signs are not sufficient for patient care. It is also significant to analyze all collected vital signs by discovering the interdependency and correlations among them. For example, preventing heart disease requires health providers to study a patient’s cholesterol levels in addition to his/her age, weight, and other vital signs.

Another evolving trend is precision medicine (PM), in which physicians and other caregivers consider individual differences in genes, socioeconomic status, and lifestyles when developing a personalized treatment for patients. This approach, used to treat chronic diseases like diabetes, cancer, and cardiovascular disease, is progressing rapidly with the growth of data analytics and cognitive computing in health information technology.

IoT platforms have the unique capability of developing and deploying applications by different users for specific needs. End-user applications may include web apps, backend services, or batch programs that can send relevant actions or reports based on analysed data stored in third-party remote applications.

Some examples of the end-user mobile applications are Fitbit and Google Fit, which help users improve their lifestyles through activity tracking. Remote patient monitoring apps include Citrix’s XenApp, Doxy.me, Am well, and Health Tap. Other possible applications include clinical monitoring, asset management, precision medicine, personalized health management, and analytical applications (e.g., predicting a patient’s arrival due to illness and the severity of disease).

These platforms usually support a model-driven approach and application runtime, as well as different programming languages, tools for rendering, and visualization interfaces.

Trends show that the number of wearable devices purchased is growing faster as millions of people adopt them to monitor their health vitals. There is a great demand to scale and simplify health care services in response to an aging population.

IoMT platform solutions provide timely patient care at a lower cost. There are opportunities to develop applications for the remote health management, lifestyle, fitness, and wellness segments to offer health services. Investments from Patients and Providers on IoM are on the rise.