Can Healthcare Take a Chance on Machine Learning Technology?

Can Healthcare Take a Chance on Machine Learning Technology?

The healthcare industry is notoriously slow to evolve. It has more red tape and regulations than many other industries, perhaps because it affects our live quality and expectancy rather directly. Healthcare cannot afford to make technological mistakes if the cost is reduced quality of care. However, as machine learning continues to make significant strides, the healthcare field cannot afford to turn a blind eye.

Machine-to-Human Interactions

Medical professional use machines on a regular basis to perform their job. However, it is always a one-way transfer of information. The medical provider inputs data into the machine and that is the end of the conversation. With machine learning, the healthcare industry could revolutionize patient care and improve client satisfaction. Machine-to-human interaction would pick up where the doctor’s data left off.

Machine Learning and Patient Care

For example, when a doctor inputs patient data after a visit, the machine can act as a virtual assistant. Machine learning requires the technology to compute sets of data and draw conclusions without a program telling it how to do so. These machines could compare data to help doctors make highly educated medical decisions and recognize patterns well before they could without technological support.

Machine Learning and Customer Service

Machines can perform a variety of services for patients that improve their experience both in and out of the office. When a patient arrives at a new medical facility, he or she may not know where to go. This confusion is common but unnecessary. Machines can perform wayfinding services to help direct patients to the right location. Machines can also track a patient’s medical history and provide navigational assistance each time the patient changes doctors during their course of treatment.

Machines can also assist with patient health even when the patient is not in the building. Patients who suffer from chronic conditions such as high blood pressure or high blood sugar could benefit from reminders but no doctor has the time to send emails or text messages to each individual patient. Machines can track patient information with ease and issue medical alerts reminding them to follow a specific course of treatment for best results.

While the healthcare industry is hesitant to implement big changes concerning machine learning, it is on the horizon. As technology advances, patients will demand better service. They know it exists, and any provider who wants to succeed will eventually see the need for machine automation. To stay abreast of the latest innovations in the medical field, contact Trion today.