A REMEDY PRESCRIPTION SYSTEM

Abstract

Disclosed herein is a remedy prescription system (100) comprising a user device (102) to collect patient data based on patient-reported symptoms; a microprocessor (106) to process the collected data that further comprises a data input module (112) to receive the data from user device (102); a data-determining module (114) to distinguish unstructured and structured data; a data processing module (116) to convert the unstructured data into structured data; a keyword identification module (118) to split the data into individual keywords; an extraction module (120) to extract the keywords; a calculation module (122) to calculate the match percentage based on the total number of keywords and the number of overlapping keywords; a listing module (124) to add the results in a matches list; a sorting module (126) to sort the matches list in descending order; and an output module (128) to display the results on the display screen (110).

Specification

Description:FIELD OF DISCLOSURE
[0001] The present disclosure generally relates to health care system, more specifically, relates to a remedy prescription system for the clinical documents based on patient-reported symptoms.
BACKGROUND OF THE DISCLOSURE
[0002] The implementation of digital health technologies in clinical settings are emerging as a compelling topic of interest. These technologies are more convincing and complex, provide transformative change in diagnosing disease and providing the treatment. Due to increased number of available diagnostic test, the data comprising patient symptoms is often unstructured and difficult to compare with the existing medical data. Hence, there is major need to differentiate between the conditions with non-specific or overlapping symptoms for accurate diagnosis of disease.
[0003] Traditional methods of diagnosis and medication rely on broad and less structured symptom which often face significant challenges in ensuring accurate and timely assessments. These approaches struggle with imprecise symptom matching, leading to greater risk of misdiagnosis. Consequently, less efficient in prescribing the effective remedies and treatment for diseases, causing prolong patient suffering.
[0004] The present invention overcomes the drawback of prior art by introducing a remedy prescription system for clinical documents that improves diagnostic precision and efficiency by systematically organizing symptoms and calculating symptom overlap to identify the most likely diseases quickly and accurately.
[0005] The unique aspect of the present invention lies in its systematic approach to symptom data preparation and the precise calculation of symptom overlap using percentage matching. It enhances diagnostic accuracy by leveraging symptom similarity to narrow down potential diagnoses. The present invention delineates an effective solution for addressing particular individual diseases. It provides enhanced outcomes even in intricate scenarios, presenting an invaluable approach for medicinal therapy.
[0006] Thus, in light of the above-stated discussion, there exists a need for a remedy prescription system.
SUMMARY OF THE DISCLOSURE
[0007] The following is a summary description of illustrative embodiments of the invention. It is provided as a preface to assist those skilled in the art to more rapidly assimilate the detailed design discussion which ensues and is not intended in any way to limit the scope of the claims which are appended hereto in order to particularly point out the invention.
[0008] According to illustrative embodiments, the present disclosure focuses on a remedy prescription system which overcomes the above-mentioned disadvantages or provide the users with a useful or commercial choice.
[0009] An objective of the present disclosure is to establish a remedy prescription system specifically tailored for clinical documents.
[0010] Another objective of the present disclosure is to improve the accuracy of potential disease identification based on patient-reported symptoms.
[0011] Another objective of the present disclosure is to provide a system to ensure a more effective prescription of remedies for diagnosed disease.
[0012] Another objective of the present disclosure is to provide a system that reduce ambiguity and enhance the diagnosing efficiency by streamlining the diagnostic process.
[0013] Yet another objective of the present disclosure is to provide a system that facilitates the early intervention strategies and minimizing the unnecessary time and procedures.
[0014] In light of the above, in one aspect of the present disclosure, a remedy prescription system is disclosed herein. The system may include a user device configured to collect patient data based on patient-reported symptoms. The system may also include a microprocessor connected to the user device via a communication network and configured to process the collected data, wherein the microprocessor further comprises a data input module configured to receive the data from user device, a data-determining module configured to distinguish between unstructured and structured data, a data processing module configured to convert the unstructured data into structured data and transform the structured data to lowercase, a keyword identification module configured to split the lowercase data into individual keywords, an extraction module configured to extract the keywords associated with the patient symptoms, a calculation module configured to calculate the match percentage based on the total number of keywords and the number of overlapping keywords with patient symptoms, a listing module configured to add the results in a matches list as a tuple, a sorting module configured to sort the matches list in descending order based on match percentage and return a pre-defined number of top matches and an output module configured to display the results on a display screen integrated with the user device.
[0015] In one embodiment, the user device collects the patient data encompassed in a variety of format, but not limited to image, table and chart.
[0016] In one embodiment, the calculation module calculates the symptom overlap by determining the percentage of patient symptoms that match the symptoms associated with each disease, thereby identifying the diseases with the highest symptom overlap.
[0017] In one embodiment, the calculation module calculates the match percentage as the ratio of overlapping symptoms to the total symptoms of the disease, expressed as a percentage.
[0018] In one embodiment, the system further comprises a cloud database configured to store disease associated keywords.
[0019] In one embodiment, the listing module stores the match results for each disease in matches list including the disease type, the homeopathic remedy, the number of overlapping symptoms, and the match percentage columns.
[0020] In one embodiment, the sorting module returns the pre-defined number of top matches which are total 10 in number.
[0021] In one embodiment, the system further provides tailored homeopathic remedies for the treatment of individual diseases.
[0022] In light of the above, in another aspect of the present disclosure, a method for remedy prescription system is disclosed herein. The method comprises collecting patient data based on patient-reported symptoms via a user device. The method also includes processing the collected data via a microprocessor comprising further modules. The method also includes receiving the data from user device via a data input module. The method also includes distinguishing between unstructured and structured data via a data-determining module. The method also includes converting the unstructured data into structured data and transform the structured data to lowercase data via a data processing module. The method also includes splitting the lowercase data into individual keywords via a keyword identification module. The method also includes extracting the keywords associated with the patient symptoms an extraction module. The method also includes calculating the match percentage based on the total number of keywords and the number of overlapping keywords with patient symptoms via a calculation module. The method also includes adding the results in a matches list as a tuple via a listing module. The method also includes sorting the matches list in descending order based on match percentage and return a pre-defined number of top matches via a sorting module. The method also includes displaying the results on a display screen integrated with the user device via an output module.
[0023] These and other advantages will be apparent from the present application of the embodiments described herein.
[0024] The preceding is a simplified summary to provide an understanding of some embodiments of the present invention. This summary is neither an extensive nor exhaustive overview of the present invention and its various embodiments. The summary presents selected concepts of the embodiments of the present invention in a simplified form as an introduction to the more detailed description presented below. As will be appreciated, other embodiments of the present invention are possible utilizing, alone or in combination, one or more of the features set forth above or described in detail below.
[0025] These elements, together with the other aspects of the present disclosure and various features are pointed out with particularity in the claims annexed hereto and form a part of the present disclosure. For a better understanding of the present disclosure, its operating advantages, and the specified object attained by its uses, reference should be made to the accompanying drawings and descriptive matter in which there are illustrated exemplary embodiments of the present disclosure.
BRIEF DESCRIPTION OF THE DRAWINGS
[0026] To describe the technical solutions in the embodiments of the present disclosure or in the prior art more clearly, the following briefly describes the accompanying drawings required for describing the embodiments or the prior art. Apparently, the accompanying drawings in the following description merely show some embodiments of the present disclosure, and a person of ordinary skill in the art can derive other implementations from these accompanying drawings without creative efforts. All of the embodiments or the implementations shall fall within the protection scope of the present disclosure.
[0027] The advantages and features of the present disclosure will become better understood with reference to the following detailed description taken in conjunction with the accompanying drawing, in which:
[0028] FIG. 1 illustrates a block diagram of a remedy prescription system, in accordance with an exemplary embodiment of the present disclosure;
[0029] FIG. 2 shows an example table displaying the output generated by the system, in accordance with an exemplary embodiment of the present disclosure;
[0030] FIG. 3 illustrates a pie chart depicting the distribution of symptoms across different disease types, in accordance with an exemplary embodiment of the present disclosure; and
[0031] FIG. 4 illustrates a flowchart of a method, outlining the sequential steps for disease diagnosing and remedy prescription, in accordance with an exemplary embodiment of the present disclosure.
[0032] Like reference, numerals refer to like parts throughout the description of several views of the drawing.
[0033] The remedy prescription system is illustrated in the accompanying drawings, which like reference letters indicate corresponding parts in the various figures. It should be noted that the accompanying figure is intended to present illustrations of exemplary embodiments of the present disclosure. This figure is not intended to limit the scope of the present disclosure. It should also be noted that the accompanying figure is not necessarily drawn to scale.
DETAILED DESCRIPTION OF THE DISCLOSURE
[0034] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings. The embodiments are in such detail as to communicate the disclosure. However, the amount of detail offered is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the present disclosure.
[0035] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be apparent to one skilled in the art that embodiments of the present disclosure may be practiced without some of these specific details.
[0036] Various terms as used herein are shown below. To the extent a term is used, it should be given the broadest definition persons in the pertinent art have given that term as reflected in printed publications and issued patents at the time of filing.
[0037] The terms "a" and "an" herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced items.
[0038] The terms "having", "comprising", "including", and variations thereof signify the presence of a component.
[0039] Referring now to FIG. 1 to FIG. 4 to describe various exemplary embodiments of the present disclosure. FIG. 1 illustrates a block diagram of a remedy prescription system 100, in accordance with an exemplary embodiment of the present disclosure.
[0040] The system 100 may include a user device 102, microprocessor 106, which further comprises a data input module 112, a data determining module 114, a data processing module 116, a keyword identification module 118, an extraction module 120, a calculation module 122, a listing module 124, a sorting module 126, an output module 128.
[0041] The user device 102 serves as a fundamental component of the system 100, configured to collect patient data-based symptoms reported by patients themselves. It acts as a crucial interface, establishing a seamless connection between user and the system 100, thereby enabling efficient communication and interaction. The user device 102 further comprises a display screen 110 to display the output generated by system 100.
[0042] In one embodiment of the present invention, the user device 102 collects the patient data encompassed in a variety of format, but not limited to image, table and chart. The user device 102 plays an integral role in capturing and transforming the relevant data. It systemically collects and organise patient data encompassed in a variety of formats including, but not limited to images, tables and charts. This multifaceted approach facilitates a better understanding and decision-making process.
[0043] The microprocessor 106 connected to the user device 102 via a communication network 104 and configured to efficiently process the collected data. It is enabled to perform computational tasks and analyse the complex data into simpler form, giving information with precision in a concrete and concise manner. Several modules are integrated within the microprocessor 106 including a data input module 112, a data determining module 114, a data processing module 116, a keyword identification module 118, an extraction module 120, a calculation module 122, a listing module 124, a sorting module 126, an output module 128.
[0044] The data input module 112 serves as a crucial component of the system 100. It is responsible for receiving and managing the data from user device 102. It acts as primary interface ensuring the user generated data is captured accurately and efficiently.
[0045] The data-determining module 114 is essential for effective data management. It ensures to distinguish appropriately between unstructured and structured data to drive insights. It enables the tailored processes to improve the data utility and value.
[0046] The data processing module 116 vital component to convert the unstructured data into structured formats and normalizing structured data. It is integrated to transform the structured data to lowercase in order to improve search functionality by eliminating search sensitivity.
[0047] The keyword identification module 118 plays a vital role in finding valuable insights from data by identifying relevant keywords. It is configured to split the lowercase data into individual keywords and helps to improve the data analysis.
[0048] The extraction module 120 is configured to extract the keywords associated with the patient symptoms to access the clear and relevant information. It is prominent for accurate diagnosis, treatment planning and research purpose.
[0049] The calculation module 122 enhance the clinical relevance of data by calculating the match percentage that indicates how closely the keywords corresponds to the patient reported symptoms. The calculated match percentage is based on the total number of keywords and the number of overlapping keywords with patient symptoms.
[0050] In one embodiment of the present invention, the calculation module 122 calculates the symptom overlap by determining the percentage of patient symptoms that match the symptoms associated with each disease, thereby identifying the diseases with the highest symptom overlap.
[0051] In one embodiment of the present invention, the calculation module 122 calculates the match percentage as the ratio of overlapping symptoms to the total symptoms of the disease, expressed as a percentage.
[0052] The listing module 124 is configured to compile the results in a matches list as a tuple. By representing the results as tuples, it aids data management and facilitates the data evaluation.
[0053] In one embodiment of the present invention, the listing module 124 stores the match results for each disease in matches list. The list involves different columns for various types of data including the disease type, the homeopathic remedy, the number of overlapping symptoms, and the match percentage.
[0054] The sorting module 126 is essential to organize the results in a structured manner. It is configured to sort the matches list in descending order based on match percentage and return a pre-defined number of top matches.
[0055] In one embodiment of the present invention, the sorting module 126 returns the pre-defined number of top matches which are total 10 in number. The matches list contains 10 different disease types with corresponding keywords associated with symptoms and the prescribed homeopathic remedies.
[0056] The output module 128 is configured to display the results on a display screen 110 integrated with the user device 102 to facilitates the visualisation appealing and comprehensible display.
[0057] In one embodiment of the present invention, the system 100 further comprises a cloud database 108 which is an integral part of the system 100 and is configured to store disease associated keywords. It provides scalable storage and security for data management and analytics.
[0058] In one embodiment of the present invention, the system 100 further provides tailored homeopathic remedies that address the patient suffering from various diseases. It facilitates a more integrated approach for providing timely and targeted treatment plans and enhance the health management.
[0059] FIG. 2 shows an example table 200 displaying the output generated by the system 100, in accordance with an exemplary embodiment of the present disclosure. The table 200 is an example of the output results produced by the system. It indicates several columns, specifically detailing the type of disease, with total 10 different disease types. It also lists keywords associated with symptoms and the prescribed homeopathic remedies for the disease treatment.
[0060] In one embodiment of the present disclosure, the table 200 illustrates the different types of diseases, symptoms presented as keywords and the homeopathic remedy prescription. For instance, when considering asthma as disease, its is characterised by symptoms such as shortness of breath, wheezing, chest tightness and coughing at night. The prescribe homeopathic remedy for this condition incorporates arsenicum album which is implied for anxiety accompanied by breathlessness.
[0061] FIG. 3 illustrates a pie chart 300 depicting the distribution of symptoms across different disease types, in accordance with an exemplary embodiment of the present disclosure. Each slice represents the proportion of symptoms associated with each condition stored in cloud database 108.
[0062] FIG. 4 illustrates a flowchart of a method 400, outlining the sequential steps for disease diagnosing and remedy prescription, in accordance with an exemplary embodiment of the present disclosure. At step 402, collecting patient data based on patient-reported symptoms via a user device. At step 404, processing the collected data via a microprocessor comprising further modules. At step 406, receiving the data from user device via a data input module. At step 408, distinguishing between unstructured and structured data via a data-determining module. At step 410, converting the unstructured data into structured data and transform the structured data to lowercase data via a data processing module. At step 412, splitting the lowercase data into individual keywords via a keyword identification module. At step 414, extracting the keywords associated with the patient symptoms an extraction module. At step 416, calculating the match percentage based on the total number of keywords and the number of overlapping keywords with patient symptoms via a calculation module. At step 418, adding the results in a matches list as a tuple via a listing module. At step 420, sorting the matches list in descending order based on match percentage and return a pre-defined number of top matches via a sorting module. At step 422, displaying the results on a display screen integrated with the user device via an output module.
[0063] While the invention has been described in connection with what is presently considered to be the most practical and various embodiments, it will be understood that the invention is not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the scope of the appended claims.
[0064] A person of ordinary skill in the art may be aware that, in combination with the examples described in the embodiments disclosed in this specification, units and algorithm steps may be implemented by electronic hardware, computer software, or a combination thereof.
[0065] The foregoing descriptions of specific embodiments of the present disclosure have been presented for purposes of illustration and description. They are not intended to be exhaustive or to limit the present disclosure to the precise forms disclosed, and many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described to best explain the principles of the present disclosure and its practical application, and to thereby enable others skilled in the art to best utilize the present disclosure and various embodiments with various modifications as are suited to the particular use contemplated. It is understood that various omissions and substitutions of equivalents are contemplated as circumstances may suggest or render expedient, but such omissions and substitutions are intended to cover the application or implementation without departing from the scope of the present disclosure.
[0066] Disjunctive language such as the phrase "at least one of X, Y, Z," unless specifically stated otherwise, is otherwise understood with the context as used in general to present that an item, term, etc., may be either X, Y, or Z, or any combination thereof (e.g., X, Y, and/or Z). Thus, such disjunctive language is not generally intended to, and should not, imply that certain embodiments require at least one of X, at least one of Y, or at least one of Z to each be present.
[0067] In a case that no conflict occurs, the embodiments in the present disclosure and the features in the embodiments may be mutually combined. The foregoing descriptions are merely specific implementations of the present disclosure, but are not intended to limit the protection scope of the present disclosure. Any variation or replacement readily figured out by a person skilled in the art within the technical scope disclosed in the present disclosure shall fall within the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.
, Claims:I/We Claim:
1. A remedy prescription system (100), the system (100) comprising:
a user device (102) configured to collect patient data based on patient-reported symptoms;
a microprocessor (106) connected to the user device (102) via a communication network (104) and configured to process the collected data, wherein the microprocessor (106) further comprises:
a data input module (112) configured to receive the data from user device (102);
a data-determining module (114) configured to distinguish between unstructured and structured data;
a data processing module (116) configured to convert the unstructured data into structured data and transform the structured data to lowercase;
a keyword identification module (118) configured to split the lowercase data into individual keywords;
an extraction module (120) configured to extract the keywords associated with the patient symptoms;
a calculation module (122) configured to calculate the match percentage based on the total number of keywords and the number of overlapping keywords with patient symptoms;
a listing module (124) configured to add the results in a matches list as a tuple;
a sorting module (126) configured to sort the matches list in descending order based on match percentage and return a pre-defined number of top matches; and
an output module (128) configured to display the results on a display screen (110) integrated with the user device (102).
2. The system (100) as claimed in claim 1, wherein the user device (102) collects the patient data encompassed in a variety of format, but not limited to image, table and chart.
3. The system (100) as claimed in claim 1, wherein the calculation module (122) calculates the symptom overlap by determining the percentage of patient symptoms that match the symptoms associated with each disease, thereby identifying the diseases with the highest symptom overlap.
4. The system (100) as claimed in claim 1, wherein the calculation module (122) calculates the match percentage as the ratio of overlapping symptoms to the total symptoms of the disease, expressed as a percentage.
5. The system (100) as claimed in claim 1, wherein the system (100) further comprises a cloud database (108) configured to store disease associated keywords.
6. The system (100) as claimed in claim 1, wherein the listing module (124) stores the match results for each disease in matches list including the disease type, the homeopathic remedy, the number of overlapping symptoms, and the match percentage columns.
7. The system (100) as claimed in claim 1, wherein the sorting module (126) returns the pre-defined number of top matches which are total 10 in number.
8. The system (100) as claimed in claim 1, wherein the system (100) further provides tailored homeopathic remedies for the treatment of individual diseases.
9. A method (400) for a remedy prescription system (100), the method (400) comprising:
collecting patient data based on patient-reported symptoms via a user device (102);
processing the collected data via a microprocessor (106) comprising further modules;
receiving the data from user device (102) via a data input module (112);
distinguishing between unstructured and structured data via a data-determining module (114);
converting the unstructured data into structured data and transform the structured data to lowercase data via a data processing module (116);
splitting the lowercase data into individual keywords via a keyword identification module (118);
extracting the keywords associated with the patient symptoms an extraction module (120);
calculating the match percentage based on the total number of keywords and the number of overlapping keywords with patient symptoms via a calculation module (122);
adding the results in a matches list as a tuple via a listing module (124);
sorting the matches list in descending order based on match percentage and return a pre-defined number of top matches via a sorting module (126); and
displaying the results on a display screen (110) integrated with the user device (102) via an output module (128).

Documents