Healthcare Data

VR therapy is the use of virtual reality equipment and programs within a therapeutic setting, sometimes as the primary therapy used, to address both mental illness and physical injury. In many cases, VR headsets are used in combination with biometric sensors like heartbeat or electrodermal activity sensors.

CCBT stands for Computerized Cognitive Behavioral Therapy and refers to the use of apps or other programs to do CBT therapy on a personal basis.

Cognitive behavioral therapy is, essentially, a method of training people to recognize fallacious beliefs or self-destructive behavior in themselves and then working with them to change their beliefs and behaviors to more healthy, productive ones. For example, someone prone to catastrophizing (assuming the worst outcome of a situation) may need to learn how to identify more likely outcomes.

CBT works best with mild to moderate emotional disturbances, especially depression and anxiety. Patients may use these programs in concert with their therapists or general practitioners, but cCBT has also proven itself very effective when used on its own.

Machine learning models help identify, analyze, and predict stress in individuals and larger populations. Stress management programs use these models to help people improve their responses to stressors and thus reduce their overall stress levels.

With the expanding online fitness and wearable health device industries, there is an increased interest in health-related apps and devices; stress management programs that integrate with these apps and devices should continue to grow in size and number.

The online fitness industry consists of videos, video-based classes, personalized coaching, wearable technology, and more. An online fitness program uses data generated by users themselves to create a custom fitness coaching experience.

Online fitness has experienced a massive growth over the past year with lockdowns and is likely to stay very popular.

MFA stands for multi-factor authentication. It refers to the use of more than one means of identification to access a secure software system. Usually, MFA security uses a combination of traditional security measures, like keycards and passwords, and biometric measures, like retinal scans.

A subset of MFA security, which uses two, three, or more authentication measures, 2FA security uses two.

Athletic performance data measures an athlete’s performance as well as their overall health. This includes their history of injuries, current mood, stress levels, and more.

Cities produce large amounts of waste, from litter to sewage; managing this waste is a constant challenge for municipal authorities. Waste management as part of the smart city model involves the use of IoT technology and machine learning to run and to optimize city waste management.

The system for maintaining a healthy body weight, human or animal, is weight management.

Whether for vehicles, industrial equipment, or mental health conditions, diagnosis is crucial to resolving problems but very difficult to do remotely. Thankfully, however, new advances in technology and artificial intelligence have made remote diagnostics possible.

The translation of text between languages comes with a wealth of challenges, even for deep learning AI programs. However, machine translation has made great strides in this area of linguistics.

Drug discovery covers the whole field of the drug development process, from identifying chemical compounds that could become useful drugs to the clinical trial phase. The drug discovery process is long and complicated, with every stage ripe for implementation of artificial intelligence models.

Machine learning models, referred to as EHRs (electronic health records) or EMRs (electronic medical records), help clinicians better manage patient health records through population management, diagnostics and smart documentation. Clinicians also use these models to perform other clinical tasks.

Clinical Decision Support (CDS) provides clinicians, staff, and patients with patient information, usually at the point of care. Clinical Decision Support takes over many routine tasks from clinicians and flags potential problems and solutions for the medical team and patient.

Case management is the optimization of customer care through the construction of a network of formal and informal activities, services, and supports.