Effect of Artificial Intelligence (AI) on Healthcare in Future

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What will be the effect of Artificial Intelligence on Health care in Future

From basic biology, all the way on up to populations spread, and AI is playing a role at every step along that continuum. How can AI speed up inefficiencies in the healthcare system? That’s the way it’s automation. You know, there’s only so much we can do with expensive, highly trained humans. We need computer systems, we need automation that can do a lot of the grunt work. I and then that can drive down cost that can open access to health care to far more people, essentially anybody with a cell phone, you know, should be able to access some sort of medical AI that can do a lot of the the basic sorts of recommendations that go require a highly trained human physician, there’s going to be a lot of the sort of diagnosis and back and forth that you can do just with the AI. And so the doctor maybe is there kind of at the end of the chain that, you know, Christie has been talking with this AI is provided information, the AI says we should probably start her on a statin. We, you know, we ought to run this sort of test, and then the doctors role is going to be to double check. So okay, yeah, that that looks reasonable to me, and I approve this. Yeah, I think COVID is just pointing out pretty dramatically, you know, the fundamental flaws in our healthcare system. multiple levels. Medicine has been kind of one of the holdouts you know, it’s just kind of ridiculous that I can order a pack of gum on Amazon.

You know, and getting tracked everywhere along the way, you know, I can get online and find out exactly where it is, you know, when it’ll be delivered. And you know, healthcare is so far away from that, that it’s just pitiful. And yet what’s more important if we can train a model so that when a new patient comes in, we can figure out what is the probability for this particular person, you know, based upon, you know, gender, blood pressure, ethnicity, you know, other medical problems, what’s the odds that this person is going to end up on a ventilator, as opposed to you know, just taking a couple ibuprofen and, you know, sleeping a little bit more for a couple of days. And of course, that’s critical to helping us more intelligently target our efforts in fighting this virus. Now, there are numerous studies that show that AI can diagnose lung cancer f om an X ray as well as the m st qualified physician. It’s t me for a major disruption in healthcare and I think COVID is f rcing it along.

How can artificial intelligence solve problems in healthcare?

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Billions and billions of dollars are spent annually on healthcare. They’re spent to improve healthcare improve the the best way to care for the patients improve the efficiency of it all. The way that healthcare generally works right now is that you’re looking at the population as a whole you’re trying to improve everybody’s outcome. But with all the individual cases and how no two per two people have exactly the same medical history how all our biologies are slightly different and we respond slightly different to treatment that offers a layer of specificity that we can really capitalize on when we look at machine learning and artificial intelligence. Especially nowadays with the rise in digital health and how everything about a particular patient is typically stored in a digital storage or warehouse then you can use artificial intelligence to dig through all that data with experts and very smart researchers in the field and in healthcare and clinicians to try to find all these patterns all these patterns that can really get you down to personalized medicine.

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So imagine in the future in the near future when you can deploy a- an expert system that can continuously and online monitor every single gadget beside a patient’s bed in the ICU and tell you exactly when the clinician need to take a little bit more attention because something might be happening. Imagine if a psychiatrist has access to a piece of data that tells them this particular patient is probably and likely going to respond to this particular medication. Also imagine if the healthcare system has an AI-guided model that can make sure that every single patient that goes through the system is treated in the industry standard making sure that everything goes according to plan while at the same time on the fly making sure that that procedure accounts for their allergies, medication sensitivities, etc. There is so much to discover with healthcare and artificial intelligence do you

Optimize Care with Artificial Intelligence

Decades of artificial intelligence research are paying off in healthcare. At the center of this innovation are the digital systems that enable widespread data standardization and interoperability. This includes user-facing applications, interoperability engines, and networks of electronic medical records. InterSystems IRIS for Health is a full-stack platform for healthcare applications. Integrated AI tools enable developers to build the next generation of apps for patient-centric, value-based care. Developing and deploying a machine- learning model in InterSystems IRIS for Health can be done with a small set of SQL statements.

Researchers can use these built-in machine-learning tools to create models of real systems which help optimize diagnostics, discovery, or administration. In InterSystems IRIS, importing machine-learning models into data pipelines is possible with predictive modeling markup language, or PMML. Connecting to an external AI system, such as cloud-based image recognition, is as simple as invoking the API of a web service from within the interoperability engine. A patient or their medical monitoring device could send regular updates to an application that uses artificially intelligent endpoints for custom response messages.

The time saved by AI applications benefits providers and patients by reducing mistakes, costs, and burnout. Data analysts can use InterSystems IRIS for Health as an open analytics platform to explore their data. Data analysts can clean their data as a first step in building an AI application. They can create dashboards and reports and access data using SQL, ObjectScript, or another programming language. AI systems provide clinicians with meaningful and effective use of patient data, and they support researchers who analyze medical data. Consider which of our many AI integration capabilities are appropriate for your healthcare applications.

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