A method and system for channel collaboration satisfaction survey based on big data

Abstract

The invention discloses a method and system for channel collaboration satisfaction survey based on big data. The method includes the following steps: step 1, constructing a preference model; step 2, constructing content compression rules; step 3, optimizing service deployment; step 4, generating Investigation task; step five, execute the investigation task. The system includes: a preference module, a content compression module, and a survey module. The preference module, including an acquisition module, a processing module, and a training module, is used to obtain and organize the data of the respondents, and discover the preferences of the respondents through machine learning; The content compression module is used to compress the survey data so that the survey items are more applicable to the respondents; the survey module generates and executes survey tasks based on the preference module and the content compression module.

Description

technical field [0001] The invention relates to the technical field of satisfaction survey, in particular to a method for channel collaborative satisfaction survey based on big data. Background technique [0002] With the improvement of medical services, more and more attention has been paid to patient satisfaction surveys. Patient satisfaction is the direct evaluation of the service quality provided by patients and their families on medical institutions, and it is also an important channel for medical institutions to obtain external opinions and suggestions. Hospitals can refer to patients Satisfaction conducts internal assessments on the affiliated medical staff, and improves the weak link of centralized feedback from patients; health administrative departments can use this to grasp the health needs of the masses and supervise the basic conditions of medical institutions, so as to plan the further development direction of medical institutions. [0003] At present, many med...

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Problems solved by technology

[0005] The limitations of the above methods still exist: (1) Due to the lack of understanding of the patient's medical situation, the invalid content of the questionnaire arouses the disgust of the patient. Feelings; (2) The investigation channel is single, and the patient’s willingness to participate is not high. For example, office workers may be resistant to receiving investigation reports during working hours; (3) The investigation contact time is lack of control, and the best contact time period within one week after leaving the hospital is missed. ; (4) The synergistic effect of multiple channels is not fully utilized, the survey coverage is narrow, and the sample lacks representativeness

The above factors will cause patients to refuse to accept the survey or withdraw from the survey to varying degrees, increase the number of invalid surveys, and increase the workload of the survey. Factors (1), (2) and (3) will lead to low recovery rates, and ( 4) Points will affect the objectivity and validity of the survey results

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