Making Better Decisions with AI in Healthcare

Introduction

Artificial intelligence (AI) is no longer a futuristic concept. It's already being used to assist doctors and nurses in diagnosing disease, prescribing medications, and even conducting surgeries.

While many of these applications require less discretion than those that involve human decision-making, they still raise important questions about the ethical implications of using AI tools to make decisions on behalf of patients.

In this article, we'll explore some of the benefits that can come from using AI in healthcare decision-making and discuss why some experts have expressed concerns about these applications—including questions about informed consent and data privacy rights for patients who aren't aware that their confidential information may be used as part of an algorithm designed to predict disease or diagnose illness.

A reliable source of evidence-based information

One area in which AI can be used to find information about a patient's condition is that of genomics.

Doctors are able to access an increasing amount of genetic data for patients, some of which is useful in determining the best course of action for their illnesses. In addition, many diseases have genetic factors that indicate how they should be treated and what side effects may occur during treatment.

Having this information available at hand can help doctors make better decisions about treatment options and may also help patients understand their condition better by providing them with certain statistical probabilities based on their specific genome composition—for example: if you have one particular gene variant, then your likelihood of developing cancer is higher than average.

Improved accuracy in diagnosing and treating patients

Doctors can use AI to make better decisions. One example is the use of deep learning algorithms to identify patterns in the data that they would not otherwise be able to see.

For example, a deep learning algorithm may be trained on a large database of medical images and then used to compare new patient scans against that database. The algorithm can then provide a probability score for various diseases or conditions based on its analysis of the scans.

This allows doctors to prioritize their time and energy by focusing on patients who have higher scores for certain conditions; it also allows them to assess whether more tests are needed before making any diagnoses or treatment plans.

This type of application has been shown in multiple studies to lead directly towards improved accuracy in diagnosing and treating patients (Chen et al., 2018).

Higher quality evidence for clinical guidelines and trials

You may be wondering how AI can help with clinical decision-making.

It’s true that evidence-based medicine is the gold standard of care, but there are still many challenges to obtaining strong evidence in healthcare.

One way that AI could provide a boost is by helping us identify biases in the evidence we use for clinical guidelines and trials.

This is particularly important as more companies start to get into this space and some may not be as careful about designing their studies properly.

Partnerships with doctors and clinicians to make the best decisions for patients

Doctors aren't going anywhere anytime soon, and that's good news if you're someone who enjoys having a doctor.

Not only are they the most qualified at making medical decisions, but they also play an important role in helping patients understand their own health and make better choices for themselves. That's why it's so important that doctors partner with AI systems to make the best decisions for their patients—not just for them to be replaced by robots!

AI systems have been shown to improve physician workflow by analyzing large amounts of data, detecting patterns between symptoms and treatment outcomes, and providing alerts when something is out of the ordinary.

This means that physicians can spend less time on paperwork and more time focusing on what they do best: treating patients!

With these tools at their disposal, physicians can provide better care in less time than ever before.

Conclusion

We believe that AI is an exciting new tool for medical decision-making.

It’s important to remember that this technology is still in its early stages, and it has yet to be fully implemented in hospitals.

Many ethical issues will undoubtedly arise as we continue developing these systems and integrating them into clinical practice.

But if we can work together to address those challenges now, AI could be a valuable resource for doctors and patients alike!