Meet Dr. Robot, Your New Doctor

Most recently, I called my healthcare provider to schedule a routine screening. At the end of the call, I was asked, “Would you like AI to interpret your test results?” I was confused; What was the purpose of my doctor? What would she be doing? Does she know a robot is replacing her? And, oh, does my insurance pay for a robot?

In the realm of modern medicine, the rise of Artificial Intelligence (AI) in healthcare diganostics has ignited a fiery debate, splitting opinions and raising questions about the future of healthcare. Are We Trading Humanity for Efficiency?

Some hail AI as a game-changer. A ‘robot’ can promise faster, more accurate diagnosis, saving countless lives. There is no room for ‘human error,’ and a robot has the ability to analyze vast amounts of data, and detect patterns that may elude human eyes—all in record time! It can even extend its reach to underserved communities and improve access for all.

However, as the saying goes, “Everything glitters is not gold.” Gone are the days of the doctor making home visits—now, you may not see the doctor at all. You may just see Johnny 5, R2D2, or Buzz Lightyear walk into your exam room.

Detractors caution against the dangers of relying too heavily on AI in healthcare. They argue that the increasing automation of diagnostic processes threatens to erode the human connection between patients and healthcare providers. Personalized care and empathy are now being replaced by cold, algorithm-driven assessments.

Furthermore, there are concerns about potential biases in AI algorithms, leading to disparities in healthcare outcomes, particularly for marginalized groups—especially the Black, Brown and Immigrant Communities. Here is the problem:

Biased Data: AI algorithms use historical data to make decisions. AI systems may perpetuate those biases if the data is biased, which is the case for marginalized communities.

Algorithmic Bias: AI algorithms can be biased due to their data or developers’ design choices.

Lack of Diversity in the Development: Historically, humans have created images in their own likeness, how will AI differ in that capacity?

Access to Technology: Lack of access to technology for the underserved communities will exacerbate existing disparities in health care outcomes—enlarging the disparity gap.

Privacy and Data Breaches: Enough said!

While AI holds tremendous promise in improving diagnostic accuracy and efficiency, we must ensure that it does not come at the expense of patient well-being and the essential human touch that defines compassionate healthcare.

Will AI ultimately replace skilled practitioners, relegating them to mere overseers of automated systems? Are you a physician, nurse, or healthcare provider? What are your thoughts regarding AI technology used in healthcare and diagnosis? Comment below!