As healthcare organizations are exploring how to keep patients healthy remotely, patient engagement technology has become necessary in the aftermath of the pandemic.
FREMONT, CA: While telemedicine, digital health, and other novel patient engagement technologies existed before the COVID-19 pandemic, their adoption by patients and providers may have been limited. These technologies have proven to be beneficial in regulating health and are here to stay.
In the aftermath of the pandemic, patient engagement technology has become a requirement as health care companies are exploring how to best keep patients healthy remotely, involving care coordination and chronic disease management.
As customers want user-friendly, customer-first digital solutions to monitor their condition in the same way they do the rest of their lives, digital patient engagement tools are becoming increasingly popular. The different types of patient engagement technology available attract various consumer preferences, and digital platforms are highly flexible. They can enhance the patient experience by providing consistent care, maintaining open contact lines with clinicians, and providing access to resources.
Remote monitoring devices and wearables
During the pandemic, remote monitoring abilities acquired new popularity, but they've also been shown to benefit patients who are not in quarantine. Patients can use remote monitoring technology to communicate with their doctors whenever they require them and become more active in their care.
In health care, remote monitoring devices transmit data to the electronic health record (EHR) and the care team. They offer a point of communication for patients and providers outside of the office setting by using digital patient engagement tools such as mobile apps and SMS text messaging.
Fitness trackers and smartwatches have become widespread because they are the most common wearables available to patients. Wearables empower patients to participate in and take control of their health.
Personalized health and predictive medicine
Predictive medicine-based personalized treatment plans are already enhancing care delivery, particularly in chronic illness management. This technique employs branching logic or artificial intelligence (AI) to personalize treatment to each patient's requirements. Expanding EHR integration to provide individualized patient education, such as communications and targeted messaging, must be a priority for health care organizations.
AI and machine learning in health care
Artificial intelligence (AI) and machine learning can be implemented into EHR systems to automate regular operations, such as detecting unusual health indicators or patterns and notifying doctors to potential health issues. AI can even help with these notifications from a distance due to wearables and remote monitoring. Implementing AI into an EHR workflow necessitates an initial commitment of extra time, money, and resources into the EHR system, and this technology makes up for the starting investment by enabling a preventative, early detection, and early intervention strategy.