With the development of large-scale biological sample databases, powerful omics and medical technologies, computing tools and big data, the status of precision medicine has been significantly improved. As a new treatment method based on the genetic and health differences of each individual to develop personalized treatment and prevention programs, precision medicine may lead the new medical era.
The trend and value of big data is now the hottest topic, and it has changed the way many companies operate. It is a big challenge for all walks of life. Can we see the power of big data from crisis to turn? Has the operator changed the thinking of the traditional type?
What is big data?First of all, what is big data? The amount of data in traditional data is about 3TB per year. In terms of today's data, the amount of data per day is 50TB. From this simple data difference, it can be known how much the difference between traditional data and current data is, which is now commonly known. Big Data Era. Under the huge data, whether in the banking industry, the traditional retail industry, the social construction public aspect or even the health care industry, the data processing, analysis methods and the mode of operating enterprises will change.
In the past medical diagnosis history, it takes a lot of time to wait for a visit to the hospital, and it takes another time for the doctor to see the doctor. When a doctor asks a patient to take an X-ray or test, it takes another extra time to diagnose. In Taiwan, where medical information is highly developed today, the number of data visits from the Internet registration, waiting list, medical records, medical orders, prescriptions, radiographic access, inspection and inspection data storage, etc. Transfer, exchange, and store in the hospital. At the same time, most of the physiological test information can be retrieved from the electronic medical record when you return to the clinic. These information processing that we take for granted is only a small amount of time in Taiwan, which is completed in one morning, and all this depends on medical information. Analyze the exchange processing with medical big data.
The emergence of medical big data is mainly due to breakthroughs in the fields of digitalization of medical devices and the development of electronic medical records. Through the digitization of instruments, hospitals have been able to obtain more records of disease and health information for patients. In the medical diagnosis of patients, in order to improve the records of patient personal data, diagnostic data and past medical records, it has contributed to the development of electronic medical record systems. The development of medical big data has been transformed from past paper records, digitalization of paper information, medical record storage to today's multi-information, and its data volume has exploded. It has not only expanded from past personal social information, diagnostic information and other text media to multimedia images. Information such as X-ray images, dynamic video image information, such as nuclear magnetic resonance MRI and electrical signal information, such as electrocardiogram, etc., these large medical data collection and highly integrated technical capabilities, is the leading cause of Taiwan's medical information field development, while More appears to be the multi-application of medical data development and its importance.
In the medical and health insurance industry, the emergence of personal medical information terminals has brought revolutionary changes to the medical industry, linking traditional hospitals, government (social security), insurance companies, drug production companies and other related industries to form a new industry ecology. ring. Connect Internet + Healthcare to build a smart health system with intelligent partners throughout the health system, including hospitals, doctors, clinics, academic centers, insurance companies, pharmaceutical companies, medical device manufacturers, governments, etc. Etc., and then generate a personalized care system that includes personal health, cost savings, efficiency, patient education, communication, performance measurement, prevention and other related content, making people have a healthier society.
The medical cloud, care cloud, and health cloud that are often heard are all using cloud technology combined with big data to provide health consultation services. With the popularity of the Internet, a smart phone allows these clouds to be used. Customers only need to use health-aware terminals, including wearable devices, love sleeping treasures, televisions and related smart measuring devices. Let your loved ones, doctors and related caregivers know about your current physical condition. Not only that, but you can also remotely monitor and remote clinics. Everything is safe, convenient, fast, healthy and comfortable through telemedicine platforms.
Big data is in the development and application of biotechnology and health care. Big data has been deeply rooted in the economic field and has created huge economic value.
The big data industry in the United States has created tremendous value, as reflected in the fact that big data has improved the quality of medical services in the United States.
For providers and payers of medical services, continuously improving medical quality and efficiency while reducing medical costs remains an elusive goal, and this is a major opportunity to improve people's livelihood. In 2010, medical expenses in the United States accounted for 17.9% of GDP, an increase of 13.8% over 2000. Moreover, the prevalence of certain chronic diseases such as diabetes is increasing and is consuming more medical resources.
The management of these diseases and other related health services will profoundly affect the well-being of the country. Big data can make a difference in this regard. In order to achieve the most effective medical results in the general population, the increased use of electronic health records (electronic health records), combined with new analytical tools, will provide opportunities to mine information. Researchers can use information to find effective statistical trends and conduct medical assessments based on real medical service quality.
Service model (patient-centered, forming the whole process of residents' health), from passive to active; medical model (mainly prevention, everyone enjoys basic medical and health services, and shifts the focus of medical and health work from post-treatment to preventive health care) ), from treatment to disease prevention; diagnosis and treatment mode (avoiding each other's politics, implementing upper and lower unions, professional division of labor), from exclusion to linkage; data model (transforming from business system data to overall data, changing past data is not uniform, not interoperable, Not sharing), from isolation to the whole; technology mode (using various new technologies, including big data, cloud computing, Internet of Things, mobile Internet, etc., to form technical synergy), from simple to comprehensive.
It is understood that the 2017 China International Big Data Industry Expo sub-forum has identified the final core forum theme, namely the “3rd China Big Data Security High-Level Forumâ€. At that time, 300 guests from government departments, large industry, industry representatives, experts and scholars will attend the forum to discuss big data security. And medical big data, as part of the weightlifting of big data, has always been a pleasure for everyone, so what is its position in the development of precision medicine?
Medical Big Data + Artificial IntelligenceIn 1998, Lloyd and colleagues reported for the first time around the world a rare disease called the "upper semicircular canal syndrome." People with this disease are sensitive to abnormal sounds and severe symptoms such as dizziness. The United Kingdom also reported that a woman with this disease can not only hear her heartbeat, the sound of the brain, but even a bite of apple will feel deafening. After Lloyd published a paper on the disease online, people from all over the world began to search for information about the disease through the Internet. Through this online search, patients who have not been able to find the cause for many years or have tested the treatment plan in the wrong department have finally been diagnosed. Using the information that is diagnosed, these patients can be sent to the right place to get the right treatment.
This is the driving force of “Internet +†in the medical field, and behind the impetus, there is the application of medical big data.
Only the flow of big data can form value, and the carrier of the flow is the Internet.
Lloyd's example inspired scientists at Stanford Medical School to begin the path of "Internet +". Lloyd, now the dean of the Stanford University School of Medicine, is advancing a new research project with a group of innovative medical experts and experts in the Internet medical industry: "Patients like you." This is an artificial intelligence system, through which the patient can self-monitor disease monitoring and inspection through the database and knowledge base search algorithms. This system can reduce misdiagnosis and missed diagnosis by doctors.
Such a combination of artificial intelligence and medical big data has changed the pattern of medical treatment in the traditional medical field. In the traditional mode of medical treatment, doctors treat patients by “one-on-oneâ€. However, as the complexity of the disease increases, the experience of doctors is more and more limited. In many cases, there are no precise medical indicators. Data, doctors cannot diagnose accurately and quickly.
This traditional model, whether it is a 30-year or 50-year experience of a doctor, cannot be compared to the volume of medical big data. In the Internet age, patient-centered individual medical big data may be more knowledgeable than any experienced doctor. After artificial intelligence processing, the treatment plan screened by the system may be better than the doctor's program.
Such an artificial intelligence system based on medical big data is likely to change the traditional model of the medical field in the future. For example, at Harvard Medical School, doctors have tried to treat breast cancer patients. First, the system screens the medical records of breast cancer patients in the United States, and then selects the age or living environment, mutation genes, etc., which are the same or similar to the specific patients, and finally selects them. A treatment plan with the highest quality of life and quality of life is provided to the patient. This is the most successful case of “Medical Big Data + Artificial Intelligenceâ€.
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