Will a patient choose a traditional IVF clinic or an AI-Powered alternative?

Time of publication: 2 weeks ago

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Will a patient choose a traditional IVF clinic or an AI-Powered alternative?

Patients are becoming increasingly aware of the use of AI in healthcare and in the reproductive medicine field in particular.

According to Deloitte Health research, more than half of U.S. consumers believe that AI could improve access issues and shorten wait times for medical care.

One explanation could be that patients see a role for AI in reducing medical errors and bias. A larger share of Americans (40%) think AI use in health and medicine would reduce mistakes made by providers.

Among the majority of Americans who see a problem with racial and ethnic bias in healthcare, a much larger share (51%) say the issue of bias and unfair treatment would improve if AI were used more for tasks like diagnosing diseases and recommending treatments for patients.

However, to educate and empower patients, many experts believe transparency would greatly help in the process. Various surveys and research show that the majority of patients have no idea if their healthcare provider is using AI. A poll led by Carta Healthcare reached 1,027 U.S. adults in August and shows that nearly 4 in 5 patients in the U.S. reported not knowing whether their provider is using AI. In reality, Carta executives said, all healthcare providers use AI and have been for a long time, but the patients were not aware.

Then there is a group of patients who are more aware of the capabilities of AI or had an opportunity to be exposed to fair information about the benefits and limitations of AI. They hope that AI will automate and standardize various tasks so that medical staff can allocate more time to their patients. This view is shared by some health experts as well.

According to the Clinician of the Future 2023 report by Elsevier Health, while only 11% of today’s clinical decisions are assisted by generative AI tools, it is [projected that in 2-3 years, that number will grow to 48%.

Jan Herzhoff, President of Elsevier Health, said: “By equipping clinicians with advanced tools and training to support their clinical decision-making, doctors and nurses will be empowered to allocate more time to the human aspect of patient care.”

So if a patient truly understood the benefits of AI  and was presented with a choice between using a traditional IVF clinic versus an AI-powered alternative…

…What would the patient choose?


The AI-powered clinics already attract patients seeking cutting-edge solutions and superior outcomes.  The allure of advanced technology coupled with the promise of higher success rates, may sway prospective clients away from conventional establishments. However, there are more direct benefits of using AI  in IVF clinics, exclusively benefiting the patient.



Let’s look at the most common benefits of AI in the IVF setting from the patient’s perspective – here is the list of the top 9.

1. Specialist Time Optimization:

AI saves specialists time by automating routine tasks, allowing them to focus on services that require personal interaction with the patient. This facilitates more in-depth consultations and treatments, enhancing the overall quality of care provided in person.


2. Efficiency Gap:

AI streamlines administrative tasks, optimizes resource allocation, and minimizes errors in real-time, resulting in heightened efficiency and productivity. In contrast, clinics reliant on manual processes might struggle to match the pace and precision of AI-powered competitors, leading to longer wait times, increased administrative burdens, and lower patient satisfaction.


3. Balancing Hard and Soft Skills:

AI assists with technical tasks, freeing up time for doctors to engage in soft-skilled activities such as patient communication and personalized care. This balance enhances the doctor-patient relationship and leads to higher satisfaction levels, benefiting the clinic’s reputation.


4. Stagnation in Innovation:

AI-powered clinics continuously evolve their algorithms based on real-time data inputs and feedback. Clinics resistant to AI risk stagnation, falling behind as AI-equipped competitors refine their techniques and outcomes for their patients, leveraging data as the new currency for greater insights.



5. Personalized Treatment Plans:

AI analyzes vast amounts of patient data to create highly personalized treatment plans, accounting for individual variations in physiology, lifestyle factors, and medical history. Traditional clinics may struggle to offer the same level of customization, leading to suboptimal outcomes and patient dissatisfaction.


6. Enhanced Patient Experience:

AI-driven solutions like MIM Fertility,  include features such as patient reports or 24/7 access to support resources. These conveniences contribute to a seamless, transparent, and satisfying patient experience, fostering loyalty and positive word-of-mouth referrals. Clinics without AI may struggle to meet the evolving expectations of tech-savvy patients


7. Data-Driven Decision-Making and Quality Control:

AI algorithms used in tools such as EMBRYOAID or FOLLISCAN can analyze vast datasets to identify patterns, trends, and correlations, enabling more informed decisions regarding treatment protocols, medication dosages, and timing of procedures that benefit the patients.  Traditional clinics may rely on subjective judgment and trial-and-error methods, leading to inefficiencies and suboptimal results


8. Research and Collaboration Opportunities:

AI-powered clinics have access to vast networks of data and expertise, facilitating collaboration with researchers, pharmaceutical companies, and other healthcare providers. These collaborations lead to advancements in treatment protocols, access to cutting-edge therapies, and participation in clinical trials. Traditional clinics may miss out on these opportunities, widening the gap with AI-equipped competitors.



9. Future-Proofing Healthcare:

Integrating AI in clinics prepares them for future advancements in medical technology and patient care. By adopting AI, clinics position themselves at the forefront of innovation, ensuring they remain competitive and capable of providing the highest standards of care as the healthcare landscape evolves.


In conclusion, the adoption of AI technology in neighboring IVF clinics presents numerous challenges for traditional establishments. From personalized treatment planning to enhanced patient experiences, and data-driven decision-making to research opportunities, the benefits of AI integration are undeniable.

To remain competitive and relevant in this rapidly evolving landscape, IVF clinics must recognize the importance of embracing AI and leveraging its transformative potential to improve patient outcomes and drive innovation.




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