In 2014, when Tang Hairui founded the “Doctor+â€, he was positioned as a doctor's tool to communicate with doctors and patients after the hospital. It is hoped that through the combination of the cloud server and the mobile application, the patient can communicate with the doctor accurately and professionally after the visit, for example, the doctor's post-hospital follow-up and research tools.
The idea is very good. However, when the product came out and I went to talk to the hospital, I found it too difficult to get into the hospital.
The promotion of doctor tools was blocked, and Tang Hairui began to turn to building a medical big data platform.
From hospital data to insurance data
The doctor and the hospital are undoubtedly the key to getting medical data. However, the situation of the doctor's tool project has enabled Tang Hairui to divert data sources to other channels – the new preferred source of data is the insurance company.
"Doctors and hospitals are of course very good channels. The medical data is very comprehensive but there are obvious deficiencies. At present, the main source of data for "Doctor+" is the insurance company. If calculated by dimension, the hospital data may be Five-dimensional or six-dimensional, insurance company data may be only three-dimensional or four-dimensional, of course, the scope of each dimension is not the same between the two. In short, the hospital's data is more comprehensive, but the commercial insurance health data is structured and for the end users The effectiveness and availability are higher." Tang Hairui said.
The hospital has a large amount of data, but the shortcoming is that it includes a lot of unstructured data, such as scanning medical records, image data, etc., there is no good way to structure, and different HIS vendors in the hospital are incompatible. Data integration is also difficult.
In addition to technical factors, it is very difficult to get the data of large hospitals, especially the data of the top three hospitals. Even if you successfully get a few, this successful "experience" is difficult to copy quickly.
On the other hand, the commercial insurance health data, although not as comprehensive as the hospital, does include some unstructured data, but in general, it is mostly structured data, which is better handled and does not require a lot of manual cleaning work. Moreover, there is a certain amount of historical data accumulation, and data interconnection and interconnection of different hospital HIS systems have been realized.
The most critical point is that commercial insurance health data generally contains cost data. First, there are divisions such as inspection fees and drug fees. Second, it is clearly classified from the payment level of self-funding, medical insurance, commercial insurance, and major illness insurance. With cost data, imaginable data mining services and realizing space are much more.
First of all, “Doctor+†can provide back-end services for insurance companies, such as the mining and processing of commercial insurance health data, and build a clinical path economic evaluation system and DRGs (pay-as-you-go) system for data control through data analysis. Fees and future development of new insurance products, providing more accurate data models and actuarial pricing basis.
At the front end, first, “Doctor+†can establish a personal electronic health record for the insured person of the insurance company. With comprehensive personal health data as the basis, then a lot of related services can be superimposed, including personal medical treatment. Control fees, group management of family doctors. In particular, the work of family doctors is difficult to carry out, and the absence of personal electronic health records is a key constraint. In addition, the electronic health file can also be superimposed on graded diagnosis and treatment, providing a data foundation for the treatment and rehabilitation of chronic diseases and serious patients.
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