From the smallest sensors to entire operating room systems, the IOT in healthcare play a main role to save lives and changing the practice of medicine. By remotely capturing medical data, facilitating accurate medication delivery and enabling digital health applications, the IoT delivers greater convenience and functionality to patients and their physicians.
Along with opportunity, the IoT also presents new risks for technology companies. Should the technology fail to work as intended, a patient could be injured or sensitive personal health information may be exposed. Building in safeguards can help technology companies who produce IoT products, component parts and related software mitigate those risks.
Applications of IoT in Healthcare Domain
- Better disease management: Since patients are monitored regularly ,the doctors are finding easier to prescribe the most effective medicine to the patients and treat the disease before it turns into something serious.
- Effective drug management: With IoT management of drugs, is easier and cost-effective for the healthcare practices.
- IoT enables physician to connect their healthcare equipment and devices through cloud computing and render caregivers the ability to obtain real-time data, make informed decisions and offer treatment based on evidence.
- Exceptional patient experience: The connectivity of healthcare devices and systems via IoT (Internet of Things) has been taking the patient experience to the higher level. Now, patients can have the right treatment and care at home only and Doctors can find out when a patient deviates from the prescribed routine when the caregiver should check in, when there is a medical emergency, and so on. This as a whole improves the patient experience and build trust between the two.
- Decreased costs: With the advent of connected systems, healthcare providers can monitor the patients in real-time from anywhere anytime. This cuts down the unnecessary doctor visits, longer hospital stays, and re-admissions. As a result, lesser cost investment.
- Lesser errors: Real-time collection of data using connected devices, automated workflow and data-driven decisions have helped in reducing errors in the data and processing.