AI IN HEALTHCARE

Improving Healthcare Service through Predictive Analytics

Meet patients' requirements and enhance the effectiveness of the treatment with predictive analytics solutions.

Data analysis and Machine learning can help in diagnosing and predicting diseases. Data analysis can also help in finding irregularities in a patient's report. By referring to the results, one can tailor-made treatment plans according to the needs of each patient. The medical history can also tell you which medications can cause adverse side effects or reactions and further help in treatment.

By analyzing data, you can also predict and therefore prevent chronic diseases like diabetes and asthma. Predictive analytics will also help identify patients that face a higher risk of such conditions and help predict their future health status. This will significantly lower their chances of getting hospitalized.

Optimization of Healthcare Processes using Optical Character Recognition

Managing loose papers and files can be a real pain; instead of hard copies, digital copies make much more sense, and going digital is simple. Optical Character Recognition (OCR)software can help store and can help you find a patient"s data at a moment's notice. Using OCR solutions, you can store all kinds of medical documents, including patients' medical history, Reports, Prescriptions, etc.

This can also help share data with other organizations and in automatic data entries of new patients. Statistically, OCR solutions have been found to save time, labor, and money.

Document analysis and NLP (Natural language processing)

NLP API software can help you understand your patients' demographic, age, gender interests, jobs, etc. Based on this data, you can adopt new marketing strategies to attract new customers and retain old ones.

GO over reviews on social media and analyze customer experiences whether they are satisfied or if there is any room for improvement. Using this, you can find out specific areas where you are lagging behind and then work on it. This will therefore improve the overall quality of your service and treatment.

Medical Image Analysis with Computer Vision

Physical therapy has been revolutionized with new AI technologies that can accurately estimate your pose, analyze a patient's posture and joints and give appropriate feedback. Encourage patients and guide what exercises would help in therapy. Give real-time updates of the patient's health status and adapt proper treatment.

Personnel Authentication Technologies and tools have become a necessity in every organization in both offline and online sectors. by using top-of-the-line computer vision software that can easily record and store facial and other biometric data. We can use this software to give different clearance levels to personnel and even restrict them from specific areas.

A unique way to improve customer service and impress patients is by using a facial-based greeting tool that will recognize patients and greet them using their names when they enter the premises. This is something that a patient will definitely retain and talk about with friends and family. Computer Vision and machine learning combined can help identify diseases and conditions. This also helps detect anomalies and intervention at the proper time. Which ultimately helps in getting positive patient outcomes.