午夜剧场

The information used by physicians to determine the optimal treatment plan for a patient is diverse. This information is collected multi-dimensionally over time regarding the pathological conditions occurring in the body, and because changes (hereafter, pathological changes) are captured precisely and accurately to lead to predictions, the judgment of frontline clinicians is considered accurate.

In clinical settings, EBM (Evidence Based Medicine) has become self-evident, and clinical research has flourished, leading to the handling of various data and statistical methods. On the other hand, because countless pieces of information are discarded when converting a patient's pathological changes into data, precise results can lead to incorrect interpretations if the generation process is not accurately understood. Data scientists who do not know the clinical field should keep in mind the reality that medical data equals life itself. Meanwhile, toward the realization of Value Based Medicine from the patient's perspective for more optimal medical care, Precision Medicine—which utilizes all information of individual patients, including genes—is progressing, and research has finally evolved to a level that can assist the tacit knowledge of frontline clinicians.

In business, the creation of shared social value has begun to be understood. We have entered an era where it is possible to derive specific optimal solutions for individuals who make up society, suggesting that the challenges of the individual, society, and the planet—which have been seen as trade-offs—can be solved simultaneously. The analysis of small "big data," which also captures the temporal changes of individuals, will make business even more precise and optimized.

Recently, the number of elites who say "evidence" instead of "scientific grounds" has increased. However, when unravelling the content, it becomes clear that they are using it to justify their own words and actions. Furthermore, interpreting results without understanding diversified analysis methods leads one far from the truth. In particular, the abuse of AI without examining algorithms is more dangerous than a cessation of thought. "In the world of belief there is much falsehood; in the world of doubt there is much truth" (Gakumon no susume (An Encouragement of Learning)); there is an urgent need to shift from "How" to "Why" in education.

However, a ray of light is shining. Not everyone changes their behavior based on "evidence." Their feeling that something "doesn't sit right" due to a sense of incongruity with the real world is proof that human sensory knowledge is superior, and it makes us realize once again the importance of "small big data." I want us to be a 午夜剧场 Gijuku Shachu that can maintain relationships where we boldly challenge information that data cannot fully express, and continue to create value while evaluating each other and striving for mutual improvement.