Question

Van Bemmel’s model of applications in medicine and health care where he assigns a sliding scale of what is being accomplished by man vs. computer. This model was published in 1984. Do you think that this model would look the same today? If not how would it change? Please justify your answers.

Answer 1

This Van Bemmel's model won't look the same today because

1. The development of technology leads to a drastic change in healthcare Over the years especially in R&D sectors computer-based approaches have evolved tremendously and several programming languages are needed to analyze the genetic data or for sequencing purposes.

2. Machines use automated CHIP-based technology as these are very fast and accurate compared to man-made activities and on the other sided man-made errors are also quite less hence very effective and accurate, even to perform basic molecular biology like real-time PCR techniques we need computers to analyze the results.

3. Dependency on computers is rapidly increasing as everyone want accurate and fast results by using advanced technologies with computers with the help of programming approaches

4.Nowadays cloud storage is in tremendous usage to store crucial data, every organization is using the cloud to store information about their employees, health care reports, and about their products. Computers can store large amounts of data than a human brain.

5.It's very easy to store, retrieve, and exchange data with the help of the internet. Data is shared from anywhere without any prior effort.

6.New technology means inventing better machinery for the treatment and for better analyzing  the problem like 3D organ printing, ultra scan, heart rate monitoring, and a lot

7.Nowaday Artificial Intelligence is playing a crucial role in the healthcare sectors. It offers a number of advantages over traditional analytics and clinical decision-making techniques. Learning algorithms can become more precise and accurate as they interact with training data, allowing humans to gain unprecedented insights into diagnostics, care processes, treatment variability, and patient outcomes.

Even though the dependency on computers or computer-based approaches has increased over the past few years still on the level of complexity the dependency on man hasn't changed that much in R & D sectors because humans are required to perform the experiments.