AI Can Improve Healthcare In More Ways Than One - patient-centric care
Artificial intelligence is one of the cutting edge technologies in science today, but many people—thanks to Hollywood—tend to equate AI with robots trying to wipe out humans. In truth, AI is both less and more powerful than people suspect. While AI isn’t going to be launching nuclear missiles anytime soon, it is making an impact in various industries, including healthcare.

AI & The Virtual Hospital

One concept that companies like the Medically Home Group are pushing forward is the idea of taking hospital treatment and convalescence out of the medical facilities. New treatment methods let people stay at home if they qualify for it after evaluation. This virtual hospital idea requires an adjustment in thinking and how medical treatment is applied and maintained. That’s where AI plays an important role.

Undivided Attention

AI, unlike a human caregiver, does not need to eat, sleep, take breaks, or go on vacation. So AI can medically supervise the patient’s progress with 100% dedication. A person in a virtual hospital may have an assigned AI, monitoring and storing all incoming medical data, and notify appropriate experts, if the data indicates an emergency response.

Admin Error Reduction

Most of the errors that occur in medical treatment occur at the administration level, and AI can be invaluable in that regard. AI can quickly and efficiently collate information from a patient’s electronic health record and from other sources like DNA records. AI can even combine existing data with newly acquired health data, including the latest recording of heart rate, pulse, and sleeping habits.

AI can handle the coordination and filing of the information and instantaneously double and triple-check entries to ensure that information is correct. If used in a medical monitoring situation, AI can even help with patient-centric care by ensuring that proper dosages of medicine are taken at the right time. Medication non-adherence, as it is known, can be responsible not just for ineffective treatment, but a waste of money if the medicine isn’t being used. AI monitoring can reduce those risks and expenses.

Predictive Analytics

Because AI can process so many different sources of information, simultaneously, it can often arrive at conclusions and diagnoses a single medical professional might not, or may take longer to do. AI can offer a valuable “second opinion” when it comes to interpreting medical data, such as CT scans for cancer, but it can also collate disparate sources of information such as DNA records, health records and current medical data to help refine a patient’s progress and diagnosis. In the world of digital health, AI plays a critical role.

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