Health Tech

Patient Data Analytics:

Data analytics provides a complete analysis of patient data to discover insights and suggest actions. AI allows the health tech industry to analyze clinical data and generate deep insights into patient health. It provides an opportunity to reduce the cost of care, use resources efficiently, and manage population health easily.

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Patient Prescreening:

AI can provide patient pre-screening through a user-friendly pre-screening questionnaire with expanded voice- and text-based communication. Additionally, AI can learn new patterns and more accurately diagnose patients’ symptoms through machine learning. AI could also provide the next steps in seeking care for the patient.

Data-driven Preventive Healthcare:

AI applications are robust in predictive maintenance. In Healthtech, wearable fitness and medical devices act as sensors that support preventative care. The data collected from these wearable devices could revolutionize preventative healthcare by forecasting health issues before they occur. The large amount of data collected from these devices could be used to design analytical models that predict specific diagnoses.

Centralized View:

Predictive analytics could predict everything from the likely number of available ICU beds to supply needs to in-patient bed availability. It could help in creating a centralized view that provides all admin-related information. This system can alert administrators to take proactive decisions for any potential emergency.