The fiery concept of big data has made many people go through the concept. Many people are still confused. There is no way to really understand what big data is. What is the use of big data? McKinsey's 2011 report, "The Next Frontier of Big Data: Innovation, Competition, and Productivity," is optimistic about five major application areas: European public sector, US health care , manufacturing, US retail, and geo-location-based services. . Among them, how can the medical and health field rise with the help of big data?
In McKinsey's 2011 report, "The Next Frontier of Big Data: Innovation, Competition, and Productivity," it is optimistic about five major application areas: European public sector, US health care, manufacturing, US retail, and geo-location. Service. Looking back now, big data is really a big play. Among them, the most influential are the retail industry and location-based services, because users in these two fields are mainly digital indigenous (those born in the late 1980s, early 1990s and later generations). So the spread is also the fastest, and the order of magnitude is the biggest. In contrast, the manufacturing, public sector, and health care impacts are not as deep. According to statistics, the value of data analysis is less than 30% of the estimated potential value five years ago. In other words, the gap between them is getting bigger and bigger.
The potential value of data analysis in five major areas (2011)
In addition, data analysis has created several disruptive innovation models. The following is a brief description of several new data sets that can break the established industrial landscape, break through information silos, and create new landscapes. For example, ultra-large-scale digital platforms enable real-time transactions, which are useful for inefficient commodity markets; refined data can be used to personalize product/service design, especially for medical treatment; and new analytical techniques can facilitate discovery of innovation. Taken together, data analysis makes evidence-based decisions more precise and efficient.
So in the process of big data business exploration, stakeholders may be lost from unpredictable data analysis and be overwhelmed. However, in the medical field, it is another scene, because the regulations will restrict this, which will cause obstacles. The 2011 report estimates that data analysis can generate $300 billion in potential value per year in the medical field, with an annual production growth rate of 0.7%. However, in 2011, only 10 to 20% can be achieved, that is, the value of 30 to 60 billion US dollars will be generated. There are two reasons, one is that clinical trials are needed; the other is that there are still a lot of problems in the implementation of data sharing and interoperability.
As of now, US health care has only seized 10-20% of the opportunities in data analysis in the medical field. There are also a number of issues that need to be addressed, such as lack of incentives, institutional reform difficulties, shortage of technical talent, data sharing challenges and regulatory oversight.
But it has indeed achieved some results. For example, in clinical practice, the greatest success is the adoption of electronic medical records, although it seems that the massive data has not yet been fully explored. But payers are already using big data to make reimbursement decisions, so data analysis will have innovative utility in public health oversight. In addition, many pharmaceutical companies are also applying data analysis to research and development, especially in simplifying clinical trials. However, if you continue to lag behind, you will miss a lot of opportunities to reform clinical care and personalized medication.
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