Information supervision and management method and system based on nursing home
By screening feedback information from elderly people with better memory and analyzing its logical structure and authenticity, the problem of false information in nursing home information supervision and management was solved, more accurate supervision and management was achieved, and the rights and interests of the elderly were protected.
Patent Information
- Application Number
- CN202411948307.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-27
- Publication Date
- 2025-09-19
- Estimated Expiration
- 2044-12-27
AI Technical Summary
In the existing nursing home information supervision and management, it is difficult for managers to accurately screen out true and reliable feedback information from the elderly, resulting in inaccurate supervision and management and inability to effectively protect the rights and interests of the elderly.
By obtaining the health information of nursing home users, screening reference users with good memory, analyzing the logical structure and description of the feedback information, verifying the authenticity of the objective information, and comprehensively calculating the credibility of the information, a threshold is set to screen out highly credible feedback information as the basis for supervision and management.
It improves the authenticity and accuracy of information supervision and management, reduces interference from false information, ensures the effectiveness of supervision and management, and protects the rights and interests of the elderly.
Smart Images

Figure CN119379219B_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of information supervision management, and in particular to an information supervision management method and system based on a nursing home. Background Art
[0002] With the passage of time, the establishment of nursing homes has become increasingly common. Nursing homes can provide a variety of services and facilities, including daily living, cultural and recreational facilities, rehabilitation training, and medical care, tailored to the diverse needs and abilities of the elderly. While the establishment of nursing homes has brought convenience to people's lives, protecting the rights and interests of the elderly requires supervision and management of relevant information about nursing homes. Existing supervision and management of nursing homes involves reviewing the qualifications and various safety aspects of nursing homes based on information provided by the enterprise. Supervision and management is also supplemented by feedback and opinions from the elderly. However, there are cases where managers ask the elderly to falsify their feedback, resulting in inaccurate and untrue supervision and failing to fully protect the rights and interests of the elderly. Summary of the Invention
[0003] The purpose of the present invention is to provide an information supervision management method and system based on a nursing home to solve the problems raised in the above background technology.
[0004] In the first aspect, this application provides a method for information supervision and management based on a nursing home, which adopts the following technical solutions:
[0005] Obtain health information of users in the nursing home, screen out users who meet the requirements based on the health information and record them as reference users;
[0006] Obtain feedback information from reference users in nursing homes, analyze the logical structure of the feedback information, and obtain the logic level of the information;
[0007] Extract the description of the feedback information, obtain the life experience of the reference user, and determine the degree of falsification of the feedback information;
[0008] Extract objective information from feedback information, verify whether the objective information is true, and obtain the authenticity of the information;
[0009] The credibility of information is calculated by combining the logic degree, falsification degree and authenticity degree of information;
[0010] Set an information credibility threshold and filter feedback information that meets the information credibility threshold as reference information;
[0011] Extract the effective content of reference information as a reference for supervision and management to obtain the supervision and management results.
[0012] Preferably, the steps of obtaining health information of users in the nursing home, screening users who meet the requirements based on the health information and recording them as reference users are specifically as follows:
[0013] Obtaining health information of users in the nursing home, wherein the health information includes age and health status;
[0014] According to the preset correlation curve between age and memory quality, the memory quality corresponding to the age is found and recorded as the basic memory quality;
[0015] Obtain the user's memory health status based on the user's health information and basic memory quality;
[0016] Set a memory health threshold and select users who meet the memory health threshold as reference users.
[0017] Preferably, the step of obtaining the user's memory health status according to the user's health information and basic memory health status is specifically as follows:
[0018] Extract the user's medication information based on the user's health information, and determine whether the medication affects the user's memory based on the medication information;
[0019] If the drug affects the user's memory, the drug dosage is obtained, and the degree of memory impact is determined based on the drug dosage. The basic memory health level is added to obtain the primary memory health level;
[0020] If the drug does not affect the user's memory, the basic memory health level is recorded as the primary memory health level;
[0021] Extract the affected body part of the user based on the health status and record it as the affected part, and determine whether the affected part is the brain;
[0022] If the affected area is the brain, the degree of brain damage is determined based on the patient's health status, and the degree of memory damage is determined based on the degree of brain damage.
[0023] The primary memory health level and the memory damage level are superimposed to obtain the memory health level.
[0024] Preferably, the step of obtaining feedback information from reference users in the nursing home, analyzing the logical structure of the feedback information, and obtaining the logic level of the information is specifically as follows:
[0025] Obtain feedback from reference users, simplify and divide the feedback, and extract the basic meaning of each feedback sentence;
[0026] Determine whether the basic meaning violates common knowledge. If the basic meaning violates common knowledge, determine that the corresponding feedback information is erroneous information;
[0027] If the basic meaning does not violate common knowledge, the corresponding feedback information is judged to be non-error information;
[0028] Counting the error ratio of error information to total feedback information, when the error ratio exceeds a preset error ratio threshold, the feedback information is judged to be invalid;
[0029] Invalid feedback information is filtered out, and the logic of the feedback information is obtained based on the analysis of non-error information in the valid information.
[0030] Preferably, the step of filtering out invalid feedback information and analyzing the feedback information based on the non-error information in the valid information to obtain the information logic of the feedback information is specifically as follows:
[0031] Extract the basic meanings corresponding to the non-error information, obtain the number of basic meanings of each non-error information and record it as the ambiguity number AQ;
[0032] Determine the number of non-error messages that contradict the basic meaning of each non-error message, and add up the statistics to get the number of contradictions AB;
[0033] Obtain the theme of the feedback, determine the degree of relevance between the basic meaning and the theme and record it as the theme relevance AZ;
[0034] Statistical correlation between non-error information AF, according to the information logic correlation function The information logic degree AX is calculated, where 、 、 、 is the scaling factor and is greater than 0.
[0035] Preferably, the steps of extracting the description of the feedback information, obtaining the life experience of the reference user, and determining the degree of falsification of the feedback information are specifically as follows:
[0036] Extracting a description of the feedback information, wherein the description includes a description vocabulary and a description style;
[0037] Extract professional terms from the description vocabulary, obtain the reference user's education and work experience, and determine whether the reference user matches the professional terms;
[0038] Count the number of professional terms that do not match the reference user and record it as the number of professional terms;
[0039] Extract rhetorical words from the description vocabulary, determine whether the reference user matches the rhetorical words based on the reference user's educational background, and count the number of rhetorical words that do not match the reference user and record it as the number of rhetoric words;
[0040] The number of specialties and the number of rhetoric are added together to get the number of anomalies. The ratio of the number of anomalies to the total number of descriptive words is calculated and recorded as the degree of lexical anomaly.
[0041] The abnormal description degree of the feedback information is judged according to the description style, and the information falsification degree of the feedback information is calculated by combining the vocabulary abnormality degree.
[0042] Preferably, the step of determining the degree of abnormal description of the feedback information based on the description style and calculating the degree of information forgery of the feedback information in combination with the degree of abnormal vocabulary is specifically as follows:
[0043] Obtain historical expression information of the reference user, and form the expression style of the reference user based on the historical expression information;
[0044] Compare the similarity between the expression style and the description style and record it as style similarity;
[0045] The weight ratios of vocabulary abnormality and style similarity are set respectively, and the information falsification degree is calculated according to the vocabulary abnormality, style similarity and the corresponding weight ratios.
[0046] Preferably, the step of extracting objective information from the feedback information, verifying whether the objective information is true, and obtaining the authenticity of the information is specifically as follows:
[0047] Extract objective information from the feedback information, obtain the inspection information submitted by the nursing home, and select the corresponding inspection information based on the objective information;
[0048] Determine whether the objective information is consistent with the corresponding inspection information, count the number of inconsistent objective information and record it as the number of objective anomalies;
[0049] Count the objective information of the same type in all feedback information and determine whether the description of the objective information is consistent;
[0050] If there are differences in the descriptions of all objective information, the difference degree of the objective information is extracted and recorded as the objective difference degree;
[0051] Combining the objective anomaly number and the objective difference degree to obtain the first degree of truth;
[0052] Extracting subjective information from the feedback information and obtaining a second degree of truth based on the subjective information;
[0053] The first authenticity and the second authenticity are superimposed to obtain the information authenticity.
[0054] Preferably, the step of extracting the subjective information from the feedback information and obtaining the second degree of truth according to the subjective information is specifically as follows:
[0055] Extracting subjective information from the feedback information and determining the personal preferences of the reference user corresponding to the subjective information;
[0056] Classify and sort the preferences of different reference users according to their personal preferences to obtain a standard preference order;
[0057] Sort the personal preferences of the reference users reflected by the subjective information to obtain the subjective preference order;
[0058] Determine whether the standard preference order and the subjective preference order are consistent. If not, obtain the degree of order difference;
[0059] The corresponding second degree of truth is obtained by searching according to a correlation curve between the preset order difference degree and the second degree of truth.
[0060] Secondly, this application provides an information supervision and management system based on a nursing home, which adopts the following technical solutions:
[0061] An information supervision and management system based on a nursing home, comprising:
[0062] The reference user module obtains the health information of users in the nursing home, screens users who meet the requirements based on the health information and records them as reference users;
[0063] The information logic module obtains feedback information from reference users in the nursing home, analyzes the logical structure of the feedback information, and obtains the information logic degree;
[0064] The information forgery module extracts the description of the feedback information, obtains the life experience of the reference user, and determines the degree of forgery of the feedback information;
[0065] The information authenticity module extracts objective information from the feedback information, verifies whether the objective information is true, and obtains the information authenticity;
[0066] The information credibility module calculates the information credibility by combining the information logic, information forgery and information authenticity;
[0067] Reference information module, setting the information credibility threshold, screening the feedback information that reaches the information credibility threshold as reference information;
[0068] The supervision and management module extracts the effective content of the reference information as a reference for supervision and management, and obtains the supervision and management results.
[0069] In summary, this application includes at least one of the following beneficial technical effects:
[0070] 1. Based on their age, health status, and medication use, users with relatively normal memories were selected as reference users. The feedback from these reference users was then evaluated for logic, falsification, and authenticity, and the credibility of the information was calculated. After further screening based on the credibility of the information, authentic and valid feedback was selected as a reference for information management and control in nursing homes. This effectively reduced the interference of false information and improved the authenticity of information management and control in nursing homes.
[0071] 2. Extract descriptive vocabulary and description style from the feedback information. Based on the reference user's education and work experience, determine the number of professional and rhetorical vocabulary in the description vocabulary that do not match the reference user's. The sum of these numbers is used to calculate the vocabulary anomaly. The reference user's expression style is formed by comparing it with the description style using the reference user's historical expression information. This style similarity is then compared with the description style to determine the style similarity. Combined with the vocabulary anomaly, the information fabrication degree is calculated. This provides a reliable basis for determining the credibility of the information, improves the accuracy of data screening, and thus improves the accuracy of information supervision and management based on nursing homes.
[0072] 3. Objective information is extracted from the feedback. Based on this objective information, the corresponding inspection information submitted by the nursing home is selected to determine its authenticity. The authenticity of the information is also determined based on whether different users of the same objective information have consistent descriptions. Furthermore, subjective information is extracted from the feedback and ranked based on preference. The accuracy of the information is determined based on whether the preference ranking of the subjective information matches the standard preference ranking of the reference user. This facilitates the selection of more authentic data as a reference for supervision and management, improves the authenticity of information supervision and management based on nursing homes, and better protects the rights and interests of the elderly. BRIEF DESCRIPTION OF THE DRAWINGS
[0073] Figure 1 It is a schematic diagram of the specific steps of an embodiment of an information supervision management method based on a nursing home of the present invention.
[0074] Figure 2 This is a module connection diagram of an embodiment of an information supervision management system based on a nursing home of the present invention. DETAILED DESCRIPTION
[0075] Below is a combination of the embodiments and Figure 1-Figure 2 The present invention will be described in further detail, but the embodiments of the present invention are not limited thereto.
[0076] The present invention discloses an information supervision and management method based on a nursing home, which specifically includes the following steps:
[0077] Step S1, obtaining health information of users in the nursing home, screening users who meet the requirements based on the health information and recording them as reference users.
[0078] Step S2: Obtain feedback information from reference users in the nursing home, analyze the logical structure of the feedback information, and obtain the information logic level.
[0079] Step S3: extract the description of the feedback information, obtain the life experience of the reference user, and determine the degree of forgery of the feedback information.
[0080] Step S4: extract objective information from the feedback information, verify whether the objective information is true, and obtain the authenticity of the information.
[0081] Step S5: Calculate the information credibility by combining the information logic, information forgery and information authenticity.
[0082] The weight ratios of information logic, information falsification and information authenticity are set respectively, and the information credibility is calculated based on the weight ratios.
[0083] Step S6: setting an information credibility threshold, and screening feedback information that reaches the information credibility threshold as reference information.
[0084] Step S7: extract the valid content of the reference information as a reference for supervision and management, and obtain the supervision and management results.
[0085] Extract valid information from the reference information, such as information about hygiene and diet, and remove useless information, such as information about whether children visit the elderly and information irrelevant to nursing home supervision. Use this valid information as a reference for supervision and management, and use this reference to determine the results. For example, if an elderly person reports that their hygiene is unhealthy, the supervision and management result will be unsatisfactory hygiene.
[0086] In practice, monitoring nursing homes helps protect the rights and interests of the elderly. This supervision is based on both reports submitted by nursing homes and user feedback. However, this feedback can be falsified by ghostwriting and instigation. Monitoring and supervision based on this falsified feedback can lead to inaccurate and unreliable monitoring, which in turn harms the rights and interests of the elderly. Therefore, filtering feedback and selecting the most authentic and reliable information as the basis for monitoring and supervision can help achieve more accurate and reliable feedback.
[0087] The steps to obtain the health information of users in the nursing home, screen the users who meet the requirements based on the health information, and record them as reference users are as follows:
[0088] Step S11: Obtain health information of users in the nursing home, where the health information includes age and health status.
[0089] Step S12: Find the memory level corresponding to the age based on the preset correlation curve between age and memory level and record it as the basic memory level.
[0090] As people age, their memory declines.
[0091] Step S13, obtaining the user's memory health level based on the user's health information and basic memory quality.
[0092] Step S14: setting a memory health threshold, and screening users who meet the memory health threshold as reference users.
[0093] In practice, elderly people's memory deteriorates and becomes confused with age. Feedback provided at this time is likely to be inaccurate due to memory issues. Therefore, preliminary user screening of feedback is required. For example, some elderly people with Alzheimer's disease are prone to forgetfulness and memory loss, making them more likely to provide inaccurate feedback. Incorrect feedback not only fails to provide effective information but also interferes with supervision and management, misleading the supervisory process and misleading the supervisory process. Some elderly people's poor memory can also cause erroneous feedback. For example, during the supervision period, a nursing home may be kept clean and hygienic, but the rest of the time, the environment is poor. However, due to the limited memory of the elderly, they may provide feedback that the environment is clean and hygienic, which is inconsistent with the actual situation.
[0094] The steps for obtaining the user's memory health status according to the user's health information and basic memory health status are as follows:
[0095] Step S131 : extracting the user's medication information based on the user's health information, and determining whether the medication affects the user's memory based on the medication information.
[0096] Step S132: If the drug affects the user's memory, the drug dosage is obtained, the degree of memory impact is determined based on the drug dosage, and the basic memory health level is superimposed to obtain the primary memory health level.
[0097] The degree of memory impact is negative, and the basic memory health is positive, so the superposition results in the primary memory health level.
[0098] Step S133: If the drug does not affect the user's memory, the basic memory health level is recorded as the primary memory health level.
[0099] Step S134: extract the affected body parts of the user according to the health condition and record them as affected parts, and determine whether the affected part is the brain.
[0100] Step S135: If the affected part is the brain, the degree of brain damage is determined based on the health condition, and the degree of memory damage is confirmed based on the degree of brain damage.
[0101] The more severe the brain damage, the more severe the memory loss. If the affected area is not the brain, the memory loss is considered to be 0.
[0102] Step S136, superimposing the primary memory health level and the memory damage level to obtain the memory health level.
[0103] The primary memory health is positive and the memory damage is negative, so the memory health is obtained by superposition.
[0104] In practice, certain medications, such as sedatives, sleeping pills, and antidepressants, can affect memory and lead to confusion. Some elderly people require medication for medical conditions, and these medications can affect their memory, further deteriorating their memory beyond their age. Furthermore, some elderly people with medical conditions, such as Alzheimer's disease and vascular dementia, can significantly affect their memory, leading to confusion. When elderly people's memory is compromised, it becomes even more difficult to provide accurate feedback. Furthermore, the degree of impact of medication or illness on elderly people also needs to be stratified. For example, Alzheimer's disease symptoms develop gradually. In the early stages, patients experience mild memory impairment and a reduced ability to learn and retain new information, but they can still provide effective feedback. In the later stages, the condition becomes more severe, particularly with a decline in recent memory, often leading to forgetting everyday tasks and commonly used items. Logical thinking and comprehensive analytical skills are also affected. Similarly, medications can have side effects, and the higher the dosage, the greater the side effects.
[0105] The steps to obtain feedback information from reference users in nursing homes, analyze the logical structure of the feedback information, and obtain the logical degree of the information are as follows:
[0106] Step S21 : obtaining feedback information from reference users, simplifying the feedback information, dividing the feedback information, and extracting the basic meaning of each sentence of feedback information.
[0107] Divide the feedback information into sentences, extract keywords or phrases from each sentence or paragraph, and use algorithms such as TF-IDF and TextRank to summarize the main information of the sentence and obtain the basic meaning of the sentence.
[0108] Step S22 , determining whether the basic meaning violates common knowledge. If the basic meaning violates common knowledge, determining that the corresponding feedback information is error information.
[0109] Step S23: If the basic meaning does not violate common knowledge, the corresponding feedback information is determined to be non-error information.
[0110] Step S24 , calculating the error ratio of error information to total feedback information. When the error ratio exceeds a preset error ratio threshold, the feedback information is determined to be invalid.
[0111] Step S25 , filtering and removing invalid feedback information, and obtaining the information logic of the feedback information based on the analysis of the non-error information in the valid information.
[0112] In practice, even after preliminary screening of user information, there's no guarantee that all user feedback is accurate. Some users may be unable to provide correct feedback due to unexpected circumstances. If a user's feedback directly contradicts common sense, such as the sun rising in the west, the more such errors there are, the less reliable the feedback provided by the reference user, and therefore the less effective it is for supervisory management. If there's too much invalid content, the reference user is considered unconscious and the feedback provided is invalid. If there's less invalid content, it can be considered a slip of the tongue or a mistake caused by distraction.
[0113] The steps of filtering out invalid feedback information and analyzing the non-error information in the valid information to obtain the information logic of the feedback information are as follows:
[0114] Step S251 , extracting the basic meanings corresponding to the non-error information, obtaining the number of basic meanings of each non-error information and recording it as the number of ambiguities AQ.
[0115] Step S252 , determining the number of non-error messages that contradict the basic meaning of each non-error message with the basic meaning of other non-error messages, and performing superposition statistics to obtain a contradictory number AB.
[0116] Extract descriptions or emotional expressions of the same thing, compare them, and determine whether the basic meaning is the same.
[0117] Step S253 : obtaining the subject of the feedback, determining the degree of relevance between the basic meaning and the subject, and recording the degree of relevance as the subject relevance AZ.
[0118] A keyword extraction algorithm is used to identify keywords or phrases in the text. The extraction is performed by calculating the overlap between keywords and topic vocabulary to obtain the degree of relevance between the basic meaning and the topic.
[0119] Step S254: Count the correlation degree AF between the non-error information, and calculate the correlation degree AF according to the information logic correlation function. The information logic degree AX is calculated, where 、 、 、 is the scaling factor and is greater than 0.
[0120] In practice, the logic of a user's natural language can reflect their sobriety and ability to accurately express their thoughts. The stronger the logic, the more credible the information. If a sentence has more than one meaning, it can be ambiguous, making it harder to accurately convey the user's thoughts. For example, "Xiao Ming said he wasn't coming to lunch" could mean Xiao Ming wasn't coming to lunch, or it could mean someone else wasn't coming to lunch. This makes it difficult to accurately extract the meaning, resulting in inaccurate expression. Such ambiguous sentences can also easily lead to misperceptions when used as a reference. Furthermore, if the context contradicts, the feedback's logic becomes even more confusing. For example, if a user mentions that the rice is a bit hard in one sentence and then says it's soft later, it's difficult to determine which statement is true. Furthermore, the less relevant the feedback is to the topic and the less relevant the context, the weaker the logic.
[0121] The steps of extracting the description of the feedback information, obtaining the life experience of the reference user, and determining the degree of falsification of the feedback information are as follows:
[0122] Step S31: extracting the description of the feedback information, where the description includes description vocabulary and description style.
[0123] Step S32: extract professional vocabulary from the description vocabulary, obtain the reference user's education background and work experience, and determine whether the reference user matches the professional vocabulary.
[0124] Step S33: Count the number of professional words that do not match the reference user and record it as the professional number.
[0125] Step S34, extracting rhetorical words from the description words, judging whether the reference user matches the rhetorical words based on the reference user's educational background, and counting the number of rhetorical words that do not match the reference user and recording it as the rhetorical number.
[0126] Step S35: superimpose the number of professional terms and the number of rhetoric terms to obtain the number of abnormalities, calculate the ratio of the number of abnormalities to the total number of descriptive words and record it as the vocabulary abnormality degree.
[0127] Step S36 , judging the abnormal description degree of the feedback information according to the description style, and calculating the information forgery degree of the feedback information in combination with the vocabulary abnormality degree.
[0128] In practical applications, some feedback information from reference users may be written by staff members or formed through the instigation and teaching of staff members. The authenticity of this feedback information is greatly reduced and cannot provide true and reliable information. By judging based on the life experiences of reference users, the authenticity of the feedback information is obtained. First, the knowledge reserve of humans is limited, and they cannot know all the professional terms in all industries and specialties. If the professional terms do not match the education level and work experience of the reference user, the more mismatched terms there are, the smaller the probability that the information is expressed by the reference user himself. For example, an elderly person who has not studied medicine hardly uses professional terms such as threshold potential and glomerular filtration rate. For some rhetorical terms, if the education level of the reference user is not high, the probability of using some overly difficult idioms or advanced words will be relatively small. If a large number of difficult idioms or advanced words are suddenly used, the probability that the feedback information is expressed by the reference user personally is relatively small. For example, row upon row: like the teeth of a comb and the scales of a fish, arranged densely. The probability of an elderly person with a lower education level using it is even lower. Therefore, when there are a large number of descriptive terms in the feedback information that do not match the reference user himself, the probability of forgery is greater.
[0129] The steps for judging the degree of abnormal description of the feedback information according to the description style and calculating the information forgery degree of the feedback information in combination with the vocabulary abnormality degree are specifically as follows:
[0130] Step S361, obtain the historical expression information of the reference user, and form the expression style of the reference user according to the historical expression information.
[0131] The historical expression information can be the daily conversations of the user or the content of the diary written by the user, etc.
[0132] Step S362, compare the similarity degree between the expression style and the description style and record it as the style similarity degree.
[0133] Step S363, respectively set the weight ratios of the vocabulary abnormality degree and the style similarity degree, and calculate the information forgery degree according to the vocabulary abnormality degree, the style similarity degree and the corresponding weight ratios.
[0134] In practical applications, everyone's expression style is different. Some people express more directly, while some people express more euphemistically. The different expression styles also reflect the authenticity of the feedback information. For example, direct description: directly use words and sentences to objectively and directly describe things, such as "This is a red apple". Indirect description: indirectly describe things through metaphors, symbols, etc., such as "Her smile is as warm as the spring sun". According to the different occasions and contexts, the description methods of natural languages are divided into formal and informal. Formal descriptions pay attention to accuracy and rigor and are often used in written languages; informal descriptions are more casual and friendly and are often used in spoken languages. Therefore, different styles can also reflect whether it is the reference user himself who gives the feedback.
[0135] The steps of extracting objective information from feedback information, verifying whether the objective information is true, and obtaining the authenticity of the information are as follows:
[0136] Step S41: extract objective information from the feedback information, obtain the inspection information submitted by the nursing home, and select corresponding inspection information based on the objective information.
[0137] Step S42 , determining whether the objective information is consistent with the corresponding inspection information, and counting the number of inconsistent objective information and recording it as the number of objective anomalies.
[0138] Step S43: Count the objective information of the same type in all the feedback information and determine whether the description of the objective information is consistent.
[0139] In step S44 , if there are differences in the descriptions of all objective information, the difference degree of the objective information is extracted and recorded as the objective difference degree.
[0140] The objective information with the largest amount is recorded as reference information, and the ratio of objective information that is different from the reference information to the total objective information is counted as the objective difference degree.
[0141] Step S45 , obtaining a first degree of authenticity by combining the objective anomaly number and the objective degree of difference.
[0142] Step S46: extracting subjective information from the feedback information, and obtaining a second degree of truth based on the subjective information.
[0143] Step S47: superimpose the first authenticity and the second authenticity to obtain the information authenticity.
[0144] In practical applications, in addition to determining whether feedback is fabricated, it is also necessary to verify the feedback. Distinguishing between objective and subjective information and verifying each separately can provide a more accurate measure of information authenticity. For example, objective information refers to the objective facts stated by the user. For example, if the user claims to have more than a dozen dishes for lunch every day, the corresponding verification information would be the purchase list. If only a few dishes are purchased on the daily purchase list, this is clearly inconsistent with the facts. This indicates that the information is falsified, and its authenticity is reduced. The greater the number of false statements about the objective facts, the lower the authenticity of the information. We also analyze whether there are discrepancies in the descriptions of the same objective facts. Generally speaking, the same objective facts should be described in the same way. For example, if user A claims to have five dishes every day, user B claims to have seven dishes, and user C claims to have six dishes, then significant discrepancies between the reference users' descriptions indicate a low authenticity level for the event, and the corresponding feedback information is also low in authenticity.
[0145] The steps of extracting subjective information from the feedback information and obtaining the second degree of truth based on the subjective information are specifically as follows:
[0146] Step S461: extracting subjective information from the feedback information, and determining the personal preference of the reference user corresponding to the subjective information.
[0147] Step S462: Classify and sort the preferences according to the personal preferences of different reference users to obtain a standard preference order.
[0148] Step S463 : sorting the personal preference levels of the reference users reflected by the subjective information to obtain a subjective preference order.
[0149] Step S464: determine whether the standard preference order and the subjective preference order are consistent. If not, obtain the degree of order difference.
[0150] Step S465 : searching and obtaining the corresponding second degree of authenticity according to a preset correlation curve between the degree of sequence difference and the second degree of authenticity.
[0151] In practice, in addition to objective information, subjective information can also reflect the authenticity of feedback. First, different people have different perceptions, and the subjective information they provide will naturally vary. For example, users A, B, and C rank their preferences for spiciness as C, B, and A. A, B, and C rated the cafeteria food as "a little spicy," "not spicy," and "very spicy," respectively. Based on the feedback, they rank B, A, and C, which is clearly inconsistent. C should be the least sensitive to spiciness. However, B, originally ranked second, now ranks first, missing one position, accounting for 1 / 3 of the total number of digits, resulting in an order variance of 1 / 3. A's order variance is also 1 / 3, and C's is 2 / 3. The greater the order variance, the lower the second-order authenticity of the feedback.
[0152] An information supervision and management system based on a nursing home, by applying the above-mentioned information supervision and management method based on a nursing home, comprises:
[0153] The reference user module obtains the health information of users in the nursing home, screens the users who meet the requirements based on the health information and records them as reference users.
[0154] The information logic module obtains feedback information from reference users in the nursing home, analyzes the logical structure of the feedback information, and obtains the information logic degree.
[0155] The information forgery module extracts the description of the feedback information, obtains the life experience of the reference user, and determines the degree of information forgery of the feedback information.
[0156] The information authenticity module extracts objective information from the feedback information, verifies whether the objective information is true, and obtains the information authenticity.
[0157] The information credibility module calculates the information credibility by combining the information logic, information forgery degree and information authenticity.
[0158] The reference information module sets an information credibility threshold and filters feedback information that reaches the information credibility threshold as reference information.
[0159] The supervision and management module extracts the effective content of the reference information as a reference for supervision and management, and obtains the supervision and management results.
[0160] In actual use, feedback is screened, and feedback from users with severe memory loss or confusion is eliminated. The authenticity of the feedback is then determined based on its logical structure, description, and objective information. After further screening, authentic and valid feedback is selected as a reference for information supervision and management in the nursing home. This extracts valid information and generates supervisory and management results. This effectively reduces the interference of false information and improves the authenticity of information supervision and management in the nursing home.
[0161] The above are all preferred embodiments of the present application, and are not intended to limit the scope of protection of the present application. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the scope of protection of the present application.
Claims
1. A method for information supervision and management based on a nursing home, characterized in that: The following steps are involved: Obtain health information of users in the nursing home, screen out users who meet the requirements based on the health information and record them as reference users; Obtain feedback information from reference users in nursing homes, analyze the logical structure of the feedback information, and obtain the logic level of the information; Extract the description of the feedback information, obtain the life experience of the reference user, and determine the degree of falsification of the feedback information; Extract objective information from feedback information, verify whether the objective information is true, and obtain the authenticity of the information; The credibility of information is calculated by combining the logic degree, falsification degree and authenticity degree of information; Set an information credibility threshold and filter feedback information that meets the information credibility threshold as reference information; Extract the effective content of reference information as a reference for supervision and management, and obtain the supervision and management results; The steps of obtaining feedback information from reference users in the nursing home, analyzing the logical structure of the feedback information, and obtaining the logic level of the information are specifically as follows: Obtain feedback from reference users, simplify and divide the feedback, and extract the basic meaning of each feedback sentence; Determine whether the basic meaning violates common knowledge. If the basic meaning violates common knowledge, determine that the corresponding feedback information is erroneous information; If the basic meaning does not violate common knowledge, the corresponding feedback information is judged to be non-error information; Counting the error ratio of error information to total feedback information, when the error ratio exceeds a preset error ratio threshold, the feedback information is judged to be invalid; Filter out invalid feedback information, and analyze the non-error information in the valid information to obtain the information logic of the feedback information; The steps of filtering out invalid feedback information and analyzing the non-error information in the valid information to obtain the information logic of the feedback information are specifically as follows: Extract the basic meanings corresponding to the non-error information, obtain the number of basic meanings of each non-error information and record it as the ambiguity number AQ; Determine the number of non-error messages that contradict the basic meaning of each non-error message, and add up the statistics to get the number of contradictions AB; Obtain the theme of the feedback, determine the degree of relevance between the basic meaning and the theme and record it as the theme relevance AZ; Statistical correlation between non-error information AF, according to the information logic correlation function The information logic degree AX is calculated, where 、 、 、 is the scaling factor and is greater than 0.
2. The information supervision and management method based on a nursing home according to claim 1 is characterized in that: The steps of obtaining health information of users in the nursing home, screening users who meet the requirements based on the health information and recording them as reference users are specifically as follows: Obtaining health information of users in the nursing home, wherein the health information includes age and health status; According to the preset correlation curve between age and memory quality, the memory quality corresponding to the age is found and recorded as the basic memory quality; Obtain the user's memory health status based on the user's health information and basic memory quality; Set a memory health threshold and select users who meet the memory health threshold as reference users.
3. The information supervision and management method based on a nursing home according to claim 2 is characterized in that: The step of obtaining the user's memory health status based on the user's health information and basic memory health status is specifically as follows: Extract the user's medication information based on the user's health information, and determine whether the medication affects the user's memory based on the medication information; If the drug affects the user's memory, the drug dosage is obtained, and the degree of memory impact is determined based on the drug dosage. The basic memory health level is added to obtain the primary memory health level; If the drug does not affect the user's memory, the basic memory health level is recorded as the primary memory health level; Extract the affected body part of the user based on the health status and record it as the affected part, and determine whether the affected part is the brain; If the affected area is the brain, the degree of brain damage is determined based on the patient's health status, and the degree of memory damage is determined based on the degree of brain damage. The primary memory health level and the memory damage level are superimposed to obtain the memory health level.
4. The information supervision and management method based on a nursing home according to claim 3 is characterized in that: The steps of extracting the description of the feedback information, obtaining the life experience of the reference user, and determining the degree of falsification of the feedback information are specifically as follows: Extracting a description of the feedback information, wherein the description includes a description vocabulary and a description style; Extract professional terms from the description vocabulary, obtain the reference user's education and work experience, and determine whether the reference user matches the professional terms; Count the number of professional terms that do not match the reference user and record it as the number of professional terms; Extract rhetorical words from the description vocabulary, determine whether the reference user matches the rhetorical words based on the reference user's educational background, and count the number of rhetorical words that do not match the reference user and record it as the number of rhetorical words; The number of specialties and the number of rhetoric are added together to get the number of anomalies. The ratio of the number of anomalies to the total number of descriptive words is calculated and recorded as the degree of lexical anomaly. The abnormal description degree of the feedback information is judged according to the description style, and the information falsification degree of the feedback information is calculated by combining the vocabulary abnormality degree.
5. The information supervision management method based on a nursing home according to claim 4 is characterized in that: The step of determining the abnormal description degree of the feedback information based on the description style and calculating the information forgery degree of the feedback information in combination with the vocabulary abnormality degree is specifically as follows: Obtain historical expression information of the reference user, and form the expression style of the reference user based on the historical expression information; Compare the similarity between the expression style and the description style and record it as style similarity; The weight ratios of vocabulary abnormality and style similarity are set respectively, and the information falsification degree is calculated according to the vocabulary abnormality, style similarity and the corresponding weight ratios.
6. The information supervision and management method based on a nursing home according to claim 5 is characterized in that: The steps of extracting objective information from the feedback information, verifying whether the objective information is true, and obtaining the authenticity of the information are specifically as follows: Extract objective information from the feedback information, obtain the inspection information submitted by the nursing home, and select the corresponding inspection information based on the objective information; Determine whether the objective information is consistent with the corresponding inspection information, count the number of inconsistent objective information and record it as the number of objective anomalies; Count the objective information of the same type in all feedback information and determine whether the description of the objective information is consistent; If there are differences in the descriptions of all objective information, the difference degree of the objective information is extracted and recorded as the objective difference degree; Combining the objective anomaly number and the objective difference degree to obtain the first degree of truth; Extracting subjective information from the feedback information and obtaining a second degree of truth based on the subjective information; The first authenticity and the second authenticity are superimposed to obtain the information authenticity.
7. The information supervision management method based on a nursing home according to claim 6 is characterized in that: The step of extracting the subjective information from the feedback information and obtaining the second degree of truth according to the subjective information is specifically as follows: Extracting subjective information from the feedback information and determining the personal preferences of the reference user corresponding to the subjective information; Classify and sort the preferences of different reference users according to their personal preferences to obtain a standard preference order; Sort the personal preferences of the reference users reflected by the subjective information to obtain the subjective preference order; Determine whether the standard preference order and the subjective preference order are consistent. If not, obtain the degree of order difference; The corresponding second degree of truth is obtained by searching according to a correlation curve between the preset order difference degree and the second degree of truth.
8. An information supervision and management system based on a nursing home, characterized in that: By applying the information supervision and management method based on a nursing home as described in any one of claims 1 to 7, the method comprises: The reference user module obtains the health information of users in the nursing home, screens users who meet the requirements based on the health information and records them as reference users; The information logic module obtains feedback information from reference users in the nursing home, analyzes the logical structure of the feedback information, and obtains the information logic degree; The information forgery module extracts the description of the feedback information, obtains the life experience of the reference user, and determines the degree of forgery of the feedback information; The information authenticity module extracts objective information from the feedback information, verifies whether the objective information is true, and obtains the information authenticity; The information credibility module calculates the information credibility by combining the information logic, information forgery and information authenticity; Reference information module, setting the information credibility threshold, screening the feedback information that reaches the information credibility threshold as reference information; The supervision and management module extracts the effective content of the reference information as a reference for supervision and management, and obtains the supervision and management results.
Citation Information
Patent Citations
Internet false information screening system and method thereof
CN117951368A