Artificial Intelligence Directly Improving Patient Care

Artificial Intelligence Directly Improving Patient Care

In this article, let’s explore a few real-world scenarios that showcase artificial intelligence engaging directly in patient-centric care.

Artificial intelligence continues to make major waves throughout the healthcare industry. Take a look at machine learning, and you’ll see its applications being used to improve processes ranging from administrative efficiencies to medical research. There’s no question that artificial intelligence workings have a top-down approach to bettering healthcare services. Still, some people may be unaware of the immediate potential AI holds in improving patient care as we know it. In this article, let’s explore a few real-world scenarios that showcase artificial intelligence engaging directly in patient-centric care.

Diagnostic Imaging and Detection

Artificial intelligence can identify patterns with their self-learning capabilities much more closely than human healthcare providers can. Technology has powerful processing capabilities that can catch what a physician can miss. Imaging analysis programs can detect even the most minute data abnormality when it can work from its existing pool of information. This makes it easier for AI to identify even rare diseases — diseases the physician may not have even seen for themselves before — with astonishing accuracy.

Hospitalization Risk Assessment

AI technology can help doctors more quickly assess a person’s need for hospital admission. The software can better piece together a full picture of a patient’s current health condition based on a patient’s collected health information and medical history. From there, the program can suggest to the attending physician a course of action based on the generated risk assessment. Human physicians are still involved in patient-care decision-making, but the technology cuts down considerably on the demand for the healthcare provider’s time. As a result, physicians are practicing medicine with less-divided attention.

Predictive Capabilities from Collected Medical Data

Today’s patient care uses modern medical devices and health sensors. This amounts to so much collected health data, and AI can make use of it through predictive feedback capabilities. As such, artificial intelligence programs can sort through all the data to detect the early signs of adverse conditions. Early detection and rapid response keep providers in control over a patient’s health. Indeed, there are real benefits to real-time health assessment by AI-enabled devices and software.

Smart Chatbots Assist Patients

Most patients won’t go to a healthcare facility at the first sign of health concern. Instead, they will look to the Internet for searches regarding their symptoms and other concerns. Providers are realizing that patients will go online in search of answers, so implementing smart chatbots proves to be an excellent way to guide patient queries. The intelligent chatbots can assess a patient’s information through prompts, and adjust their responses based on each new patient input. In the end, the chatbot can encourage a patient to seek out further medical attention from a professional or provide other useful resources. 

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This entry was posted on Friday, June 12th, 2020 at 9:35 pm. Responses are currently closed, but you can trackback from your own site.