AI Is Reimagining Healthcare For Us

AI refers to artificial intelligence used in computers. It uses cognitive skills akin to human beings applied to complete a task as per the process requirements to automate it partly or completely. 

Healthcare facilities are undergoing a seachange of transformations that are driven by solutions based on AI and ML. Improvements in patient care have been bolstered by ai in healthcare with exceptional results. The automation of processes driven by AI is a digital approach that allows clinicians and nurses to spend their time productively assessing high-priority cases. 

Big data is indispensable for offering insights into problems we cannot even begin to predict. It can also be used for predictive analytics in diagnosis with a recommendation for the right treatment plan. The accuracy of the diagnosis offered through automation tools is back tested with scores of algorithms before being implemented and minimizes errors.

Healthcare industry titans have opened up to the promises that AI holds in developing innovative products to ease patient care and deliver critical treatment and timely support. With pharma and healthcare companies earmarking close to 2 billion dollars for AI outlay, let us examine some healthcare solutions that are guided by AI and ML:

  • Robotic surgeries

Skillful surgeons have appreciated the deftness and precision of robot-assisted surgeries. AI can reduce the variation from case to case by projecting a magnified image in 3D to see the surgery patch. Commonly used robotic surgery devices have a camera arm and a mechanical arm that is controlled by a team doctor.

Challenging hair-trigger procedures with high complexities are performed by robots with unparalleled accuracy. Robots use precision cutting and suturing in surgeries. Minimal invasive procedures are easily performed through bot assistants. 

  • Predictive precision medicine

AI is using big data to analyze and predict patients who are not responding to a treatment plan. The humongous data is crunched within minutes to forecast the patients suffering from the same ailment and belonging to a similar gene pool who will respond to a treatment plan that was effective in controlled cases. The decision of doctors to try an alternate treatment plan to improve patient care in critical cases is enhanced through AI solutions. Diseases in the patient population can be detected through machine learning which previously did not surface through other diagnostic methods with a high accuracy rate. 

  • Non-clinical roles

Virtual health assistants based on the concept of chatbots are accessible 24/7 to assist patients’ general queries. Chatbots engage the customers and offer them real-time answers within a few seconds of them asking a query. Backed by the assistance provided for their health queries patients and their families can access general information related to disease prevention and management. Chatbot services reduce the manpower requirement in handling routine queries. 

  • Screen treatment plans

Natural language processing (NLP) assists doctors to screen through a large number of treatment plans in medical journals for easy referencing. This eases the process for doctors to devise an effective treatment plan for their patients. 

  • General administration

Hospital management is not an easy job. Scheduling appointments and diarising calendars of physicians is dynamic and can alter as per the criticality of the emergency at hand. AI can help hospital administrators to prioritize emergencies and manage routine workflow for nurses and doctors. 

  • Remote patient monitoring

RPM devices help doctors and nurses to monitor their patients securely and non-intrusively by reading the transmitted data and responding to any alert through telehealth tools. Early detection and intervention can help doctors provide critical care to ambulatory patients who are screened post-surgeries at home. 

Conclusion:

Big data is being used industry-wise for improving critical processes that will change human lives and impact the environment positively. The scope of AI is tremendous and the possibilities that have been explored to date are the tip of the iceberg. The speed, accuracy, and efficiency of AI delivering critical solutions are commendable now and will be indispensable in the future. 

Healthcare is not just a profit-oriented industry but one that impacts human lives. AI can de-stress doctors and nurses who are overworked and suffer routine burnout. Preventive precision medicine can detect diseases that are overlooked by traditional systems. Prevention of disease spread and management of health is effective through technology. AI will play a vital role in improving public health services in the future.