Medical industry: high-tech database to help medical development

Medical industry: high-tech database to help medical development

Once upon a time, people had high hopes for medical big data investment, but how to turn large and diverse data sets into practical insights has become a hindrance to the desire to come true. In 2016, the medical industry will begin to process these data in a new high-tech way, the so-called “non-associated” database, in order to make full use of the vast amount of consumer and medical data.

Traditional relational databases, such as the Electronic Health Record (HER) system, organize data into columns, rows, and tables, transforming information into predetermined categories. Such databases are ideal for data that can be easily built, but cannot handle such things as doctor notes, lists, and other unstructured data. According to relevant survey results, only 17% of medical providers can integrate population health analysis into their EHR systems.

The medical system uses a new database such as the Montefiore Medical Center and the National Children's Health System, which allows pharmaceutical companies to adopt flexible structures and analyze data in multiple formats.

Take two female consumers, for example, who are 57 years old and suffer from the same chronic disease, asthma. In the associated database, the two women look almost identical: female, 57 years old, with asthma. However, after a more in-depth investigation, we found that one of them was a triathlete and used a respirator before training, while the other used it during the pollen season. These materials come from doctor's handwritten notes, but in relational databases, they are converted to PDF format and cannot be valid information that can be retrieved.

The new database tool can help doctors distinguish the two female patients, give the drug manufacturer feedback on how users use the respirator, provide the pharmacy with a unique purchasing model for such patients, and prompt the patient's doctor for the best symptomatic treatment. The Patient-Centric Results Institute (PCORI) has used these databases in conjunction with consumer medical data for analysis to develop personalized treatment options and promote medical development. To promote such databases, efforts to have a medical system are not enough. Consumers must be willing to share their personal information in order to promote the application of these new features. The 2015 HRI survey found that most consumers are willing to share their medical data with doctors (88%) or local medical systems (78%), but the number of people willing to share information with pharmaceutical companies is much less than the former two ( 53%).

Camera

Camera,Solar Blind Detector,Solar Blind Photodetector,

Shandong Freedom Technology Co.,Ltd , https://www.sdfreedomtech.com