Collection method of quality of life based on cloud computing

Abstract

The invention discloses a quality of life condition collection method based on cloud computing, which comprises the following steps: (1) utilizing a mobile terminal to collect user information, storing the user information in a database, and adding a unique identifier to differentiate; and (2) differentiating and uploading data not synchronized via the identifier in the database, and downloading new data in a server. The quality of life condition collection method continuously monitors each individual patient's quality of life for a long term, scientifically collects and analyzes the each individual patient's state of quality of life, selects the most reasonable and economical treatment scheme by combining individual condition, improves the patient's quality of life and subsistence benefit, enables different patients' different changes of quality of life to be fully considered, obtains the optimal benefits, and avoids medical resource waste caused by empirical selection.

Description

Technical field [0001] The present invention relates to data collection technology, in particular to a method for collecting life quality information based on cloud computing. Background technique [0002] Patients with advanced tumors rarely get a complete cure due to the heavier tumor burden. The tumor itself invades the body and the physical damage, side effects and high treatment costs caused by various treatments often cause physical and mental pain to the patient. For advanced cancer patients, improving their quality of life is a very important goal pursued by treatment. Palliative, symptomatic and supportive treatment for patients with advanced cancer can significantly improve the quality of life of patients, thereby significantly improving the overall survival of patients. To improve the quality of life of patients, we must first understand the concept of quality of life and its collection methods. The method to obtain the quality of life of patients has a very mature ...

AI Technical Summary

Problems solved by technology

[0003] Disadvantages of the current quality of life scale collection method: the particularity of clinical work makes the work of filling in and collecting patients' quality of life very complicated and difficult. At this stage, if most medical workers want to know the quality of life of patients, they must Fill out the paper version of the quality of life scale

First of all, the process of filling in is cumbersome and consumes a lot of time and energy; sometimes patients fill in without the company and guidance of clinical staff, and the quality of the obtained information is not effectively guaranteed

Furthermore, due to the paper version of the quality of life survey results, statistics and analysis will also generate a lot of work, and the efficiency of the whole process is not high. In addition to clinical workers, a third party may be required to complete the statistics and analysis of quality of life, increasing spending extra money

Finally, there is a lack of communication and communication between different medical institutions, and the results of paper-based quality of life surveys cannot be shared among medical institutions. Suppose a tumor patient goes to a new hospital for treatment, then the old data will be used as an important condition If the data cannot be applied in the patient's diagnosis and treatment plan, the treatment effect will be compromised

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