CN112349366A - Cloud APP-based follow-up management system for malignant tumor complicated with diabetes - Google Patents
Cloud APP-based follow-up management system for malignant tumor complicated with diabetes Download PDFInfo
- Publication number
- CN112349366A CN112349366A CN202011216421.XA CN202011216421A CN112349366A CN 112349366 A CN112349366 A CN 112349366A CN 202011216421 A CN202011216421 A CN 202011216421A CN 112349366 A CN112349366 A CN 112349366A
- Authority
- CN
- China
- Prior art keywords
- patient
- management
- module
- doctor
- unit
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
Abstract
The invention discloses a cloud APP-based follow-up management system for malignant tumor complicated with diabetes, which comprises the following components: the cloud management platform comprises a patient end and a doctor end; the patient side comprises a personal information module, a disease knowledge module, a patient data monitoring module and a doctor-suffering communication module; the medical terminal comprises a patient filing module, an information publishing module, a doctor-patient communication module, a doctor-patient data monitoring module and a management platform application, wherein the management platform application comprises management group training, study effect assessment and follow-up management.
Description
Technical Field
The invention relates to the field of follow-up management of malignant tumor complicated diabetes, in particular to a cloud APP-based follow-up management system for malignant tumor complicated diabetes.
Background
In 2006, malignant tumors have been defined as controllable chronic diseases by the world health organization, follow-up management is an important component of a malignant tumor prevention and treatment link, the requirements of the international anti-cancer alliance require that the follow-up rate reaches over 90 percent, but the follow-up work of tumors is still unsatisfactory no matter in a tumor-specific hospital or a comprehensive hospital in China at present, and the improvement of the follow-up rate as far as possible and the guarantee of the management effect are key links for improving the prognosis quality of malignant tumor patients. The comprehensive treatment of surgery assisted with radiotherapy, chemotherapy and the like is the first clinical treatment scheme of the esophageal squamous carcinoma, but adverse reactions such as postoperative pain, gastric reflux, diarrhea, eating obstruction, anxiety, sleep disorder and the like influence endocrine functions such as glycolipid metabolism and the like of patients. A plurality of studies at home and abroad and previous studies show that the change of blood sugar level and glycolipid metabolism has great relevance with postoperative complications and postoperative recurrence risks of esophageal cancer. After being discharged from hospital, the patient with esophageal squamous carcinoma and diabetes returns to home, and whether the follow-up management outside the hospital is effective or not directly influences the prognosis quality of the patient.
The traditional follow-up mode has low efficiency, poor data quality, large workload of medical staff, high lost visit rate and limited management effect.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a follow-up management system for malignant tumor complicated diabetes based on cloud APP, which is characterized in that a WeChat platform-based esophageal squamous carcinoma complicated diabetes perioperative management small program is developed by using a mobile internet technology, and the small program comprises a patient end and a doctor end, and can realize multiple functions of patient self-management, data entry, doctor-patient communication, doctor-patient monitoring, on-line follow-up, data supervision, real-time communication and the like.
In order to achieve the purpose, the invention provides the following technical scheme:
a follow-up management system for malignant tumor complicated with diabetes based on cloud APP comprises: the cloud management platform comprises a patient end and a doctor end;
the patient side comprises a personal information module, a disease knowledge module, a patient data monitoring module and a doctor-suffering communication module;
the doctor end comprises a patient filing module, an information publishing module, a doctor-patient communication module and a doctor data monitoring module.
Management platform applications, wherein the management platform applications comprise management group training, learning effect assessment and follow-up management;
and (3) management effect evaluation, wherein the management effect evaluation carries out corresponding intervention according to individual conditions of the patient, maintains the blood sugar and glycolipid metabolism levels of the patient within a reasonable range, and evaluates the application effect of the mode according to the operation quality and the prognosis quality.
By adopting the technical scheme.
Further, the personal information module and the patient profiling module each include a personal profile, a case record, and a visit record of the patient.
By adopting the technical scheme, an internet technology and a WeChat platform are utilized to develop a management platform suitable for the patient with the esophageal squamous cell carcinoma combined diabetes, scientific management is carried out on indexes such as blood sugar level, glycolipid metabolism and the like of the patient in the perioperative period and within 1 year after discharge, a set of scientific and feasible management mode for the patient with the esophageal squamous cell carcinoma combined diabetes based on the mobile internet is formed, and the improvement of the operation quality and prognosis of the patient is promoted;
by the whole-process management and control of blood sugar and glycolipid metabolism, the management effect of patients suffering from esophageal squamous cell carcinoma combined diabetes is improved, the occurrence risk of complications related to diabetes and the risk of tumor recurrence of the patients are reduced, and the survival rate and the life quality of the patients are improved.
Further, the disease knowledge module comprises a science popularization knowledge unit, a self-management knowledge unit, a blood sugar management knowledge unit, a glycolipid management knowledge unit, a diet knowledge unit and an exercise knowledge unit.
By adopting the technical scheme, doctors issue disease knowledge regularly for patients to read, a comment area function is reserved below each article, the patients can ask questions in the articles, and the authors answer the questions of the patients.
Further, the patient data monitoring module includes a blood glucose detection unit, a glycolipid detection unit, and a complication feedback unit.
Through adopting above-mentioned technical scheme, according to the monitoring time that the doctor set for, remind the patient regularly to upload blood sugar monitoring result, glycolipid metabolism index testing result, blood sugar monitoring result obtains according to the domestic blood glucose meter of freely granting, and the order patient uploads blood glucose meter data photo when typing into blood sugar monitoring result every day, guarantees the authenticity of data.
Further, the patient communication module and the doctor-patient communication module both comprise communication initiating, message reminding and appointment re-diagnosis.
By adopting the technical scheme, the patient can initiate real-time communication to the responsible physician, and the responsible physician can select a communication time period and communicate with the patient in the forms of characters, voice, video and the like; the message reminding function comprises a re-diagnosis reminding function, a data entry reminding function, a data abnormity warning function, a doctor communication reminding function and the like; the patient can use the appointment re-diagnosis function to realize one-key registration appointment, and meanwhile, the doctor can actively communicate with the patient, remind the patient and the like.
Further, the doctor data detection module comprises an early warning setting unit, a data uploading reminding unit and a data early warning intervention unit.
By adopting the technical scheme, according to the disease condition characteristics of a patient, setting individual blood sugar level, glycolipid metabolism index early warning values and glycolipid metabolism index review time intervals for the patient, ordering the patient to upload blood sugar and glycolipid metabolism index detection results regularly, if the detection results exceed the early warning values, popping up a prompt by a system, enabling a doctor to communicate with the patient in time, determining the reason of abnormal detection results, and adjusting an intervention scheme or ordering the patient to come to a hospital for review if necessary.
Further, the information issuing module comprises a disease knowledge issuing unit and a consultation information issuing unit.
By adopting the technical scheme, the system can be positioned to issue the review information for each patient and can issue the related disease knowledge.
Furthermore, the management platform is used for training the established management group, and requires members in the group to master the use modes of a patient end and a doctor end of the management platform, so that the learning effect of the members in the group is checked, the members can participate in management after the check is passed, and the members are subjected to follow-up management based on the management platform for at least 1 year after the operation.
By adopting the technical scheme, the patient can more quickly master the application of the software, and the postoperative patient can be more conveniently subjected to follow-up management.
In summary, the invention mainly has the following beneficial effects:
by applying the internet technology and the WeChat platform, a management platform suitable for patients with esophageal squamous cell carcinoma combined diabetes is developed, scientific management is carried out on indexes such as blood sugar level, glycolipid metabolism and the like of the patients in the perioperative period and within 1 year after discharge, a set of scientific and feasible management mode for patients with esophageal squamous cell carcinoma combined diabetes based on the mobile internet is formed, and the improvement of the operation quality and prognosis of the patients is promoted;
through the whole-process management and control of blood sugar and glycolipid metabolism, the management effect of patients suffering from esophageal squamous carcinoma combined diabetes is improved, the occurrence risk of complications related to diabetes and the tumor recurrence risk of the patients are reduced, the survival rate and the life quality of the patients are improved, a practical basis and a reference basis can be provided for the management of other chronic diseases, the prevention and control effect of the chronic diseases in China is integrally improved, and the life quality of the chronic diseases are improved.
Drawings
FIG. 1 is a schematic diagram of a preferred structure of the present invention;
FIG. 2 is a schematic diagram of the management platform application of the present invention;
FIG. 3 is a schematic diagram of the patient end of FIG. 1 according to the present invention;
FIG. 4 is a schematic structural diagram of the Chinese medicine tip of FIG. 1 according to the present invention.
Detailed Description
The invention is described in further detail below with reference to figures 1-4.
A cloud APP-based follow-up management system for malignant tumor complicated with diabetes, as shown in FIGS. 1-4, comprises: the cloud management platform comprises a patient end and a doctor end;
the patient side comprises a personal information module, a disease knowledge module, a patient data monitoring module and a doctor-suffering communication module;
the doctor end comprises a patient filing module, an information publishing module, a doctor-patient communication module and a doctor data monitoring module.
Management platform applications, wherein the management platform applications comprise management group training, learning effect assessment and follow-up management;
and (3) management effect evaluation, wherein the management effect evaluation carries out corresponding intervention according to individual conditions of the patient, maintains the blood sugar and glycolipid metabolism levels of the patient within a reasonable range, and evaluates the application effect of the mode according to the operation quality and the prognosis quality.
The remote management platform utilizes the mobile internet technology, develops scientific management software for patients with esophageal squamous cell carcinoma combined with diabetes on the basis of the WeChat platform, is not limited to the WeChat platform, and can also use other platforms.
Preferably, the personal information module and the patient profiling module each include a personal profile, a case record, and a visit record of the patient.
The personal information includes sex, age, personal history, past history, diagnosis results, etc., wherein each patient in the management platform sets a personal ID, wherein the patient ID is the same as the ID distributed by the hospital HIS system, and the medical record is also synchronized with the HIS system.
Preferably, the disease knowledge module comprises a science popularization knowledge unit, a self-management knowledge unit, a blood glucose management knowledge unit, a glycolipid management knowledge unit, a diet knowledge unit and an exercise knowledge unit.
Doctors can regularly release disease knowledge in WeChat groups for patients to read, a comment area function is reserved below each article, the patients can ask questions in the articles, and the authors answer the questions of the patients.
Preferably, the patient data monitoring module comprises a blood glucose detection unit, a glycolipid detection unit and a complication feedback unit.
According to the monitoring time set by a doctor, reminding a patient to upload a blood sugar monitoring result and a glycolipid metabolism index detection result regularly, wherein the blood sugar monitoring result is obtained according to a freely-issued household glucometer, and advising the patient to upload a data photo of the glucometer while inputting a daily blood sugar monitoring result, so that the authenticity of data is ensured; the glycolipid metabolism index detection result is obtained according to the inpatient hospital examination result, the patient can upload pictures, and the system automatically inputs data through Optical Character Recognition (OCR); the doctor sets individual blood sugar and glycolipid metabolism index early warning values for each patient, if data input by the patient exceeds the early warning values, an early warning prompt is sent to the patient and a responsible doctor, the doctor needs to contact with the patient as soon as possible, the reason of data abnormity is determined, and the patient is advised to make a double-check to adjust an intervention scheme if necessary. Wherein the blood glucose level monitoring index comprises fasting blood glucose (FPG) and blood glucose 2h after breakfast, lunch and dinner; the glycolipid metabolism assay index includes serum Glucose (GLU), Total Cholesterol (TC), Triglyceride (TG), high density lipoprotein cholesterol (HDL-C) and low density lipoprotein cholesterol (LDL-C).
Preferably, the patient communication module and the doctor-patient communication module each include initiating communication, message reminding and appointment re-diagnosis.
Preferably, the doctor data detection module comprises an early warning setting unit, a data uploading reminding unit and a data early warning intervention unit.
Setting individual blood sugar level, glycolipid metabolism index early warning values and glycolipid metabolism index rechecking time intervals for a patient according to the disease condition characteristics of the patient, ordering the patient to upload blood sugar and glycolipid metabolism index detection results regularly, if the detection results exceed the early warning values, popping up a prompt by a system, enabling a doctor to communicate with the patient in time, determining the reason of abnormal detection results, and adjusting an intervention scheme or ordering the patient to come to a hospital for rechecking if necessary.
Preferably, the information issuing module comprises a disease knowledge issuing unit and a consultation information issuing unit.
Preferably, the management platform is used for training the established management group, the members in the group are required to master the use modes of the patient side and the doctor side of the management platform, the learning effect of the members in the group is checked, the members can participate in management after the check is passed, and the members are subjected to follow-up management based on the management platform for at least 1 year after the operation.
The using method comprises the following steps: by applying a mobile internet technology and based on a WeChat platform, scientific management software for patients with esophageal squamous cell carcinoma combined diabetes is developed, the software is divided into a patient end and a doctor end, and the functions of the patient end comprise 4 modules of personal information, disease knowledge, data monitoring and doctor-patient communication; the doctor end functions comprise patient profiling, data monitoring, information publishing and doctor-patient communication, and comprise 4 modules, and perioperative management software which is easy to learn, use, convenient and fast and effective is set up;
wherein the patient side: patient-side, personal information of the patient: the patient can inquire the personal treatment record through a personal information module, and the treatment record covers the treatment time, the treatment hospital, the doctor receiving the treatment and the like;
knowledge of the disease: the disease management system comprises units such as science popularization knowledge, self-management knowledge, blood sugar management knowledge, glycolipid metabolism management knowledge, motion knowledge, diet knowledge and the like, a doctor regularly issues disease knowledge for a patient to read, a comment area function is reserved below each article, the patient can ask questions in the articles, and an author answers the questions of the patient;
patient data monitoring: the method comprises the functions of blood sugar monitoring, glycolipid metabolism index monitoring, complication feedback and the like, and reminds a patient to upload a blood sugar monitoring result and a glycolipid metabolism index detection result regularly according to monitoring time set by a doctor, wherein the blood sugar monitoring result is obtained according to a free household glucometer, and the patient is ordered to upload a glucometer data photo while inputting a daily blood sugar monitoring result, so that the authenticity of data is ensured; the glycolipid metabolism index detection result is obtained according to the inpatient hospital examination result, the patient can upload pictures, and the system automatically inputs data through Optical Character Recognition (OCR); the doctor sets individual blood sugar and glycolipid metabolism index early warning values for each patient, if data input by the patient exceeds the early warning values, an early warning prompt is sent to the patient and a responsible doctor, the doctor needs to contact with the patient as soon as possible, the reason of data abnormity is determined, and the patient is advised to make a double-check to adjust an intervention scheme if necessary. Wherein the blood glucose level monitoring index comprises fasting blood glucose (FPG) and blood glucose 2h after breakfast, lunch and dinner; the glycolipid metabolism assay index comprises serum Glucose (GLU), Total Cholesterol (TC), Triglyceride (TG), high density lipoprotein cholesterol (HDL-C) and low density lipoprotein cholesterol (LDL-C);
doctor-patient communication: the system comprises the functions of communication initiation, message reminding, appointment re-diagnosis and the like, a patient can initiate real-time communication to a responsible physician, and the responsible physician can select a communication time period and communicate with the patient in the forms of characters, voice, videos and the like; the message reminding function comprises a re-diagnosis reminding function, a data entry reminding function, a data abnormity warning function, a doctor communication reminding function and the like; the patient can use the appointment re-diagnosis function to realize one-key registration appointment.
A doctor end: including patient's arching, data monitoring, information issuing, doctor and patient's ditch total 4 modules, wherein the patient arching: after the patients are grouped, the patients are assisted to establish personal files, and are bound with the ID distributed by the HIS system, and the personal files, medical record records and treatment records of the patients are synchronized;
monitoring doctor data: setting individual blood sugar level, glycolipid metabolism index early warning values and glycolipid metabolism index rechecking time intervals for a patient according to the disease condition characteristics of the patient, ordering the patient to upload blood sugar and glycolipid metabolism index detection results regularly, if the detection results exceed the early warning values, popping up a prompt by a system, enabling a doctor to communicate with the patient in time, determining the reason of abnormal detection results, and adjusting an intervention scheme or ordering the patient to come to a hospital for rechecking if necessary;
information release: the system comprises two functions of disease knowledge release and review information release, fixed review time is set for each patient, the system automatically releases message reminding to the patient 3d, 2d and 1d before the review time is reached, and a doctor can set special review time and push reminding messages to the patient through the function;
doctor-patient communication: the doctor can initiatively initiate communication and initiatively set a appointment for the patient;
after the management platform is developed, evaluated, debugged and optimized, management team training is firstly carried out, members in the team are required to master the using modes of a patient end and a doctor end of the management platform, the learning effect of the members in the team is checked, and the members in the team can participate in management after the checking. And simultaneously making an instruction manual of the patient end of the management platform, explaining the use method of the management platform to the patient by the management team member and issuing the instruction manual. The management team member of the program management group guides the use of patient-side software during the traditional perioperative period management, and the program management group receives follow-up management based on a management platform for 1 year after operation;
corresponding intervention is carried out according to individual conditions of the patient, the blood sugar and glycolipid metabolism levels of the patient are maintained within a reasonable range, and the application effect of the mode is evaluated according to the operation quality and the prognosis quality.
The parts not involved in the present invention are the same as or can be implemented by the prior art.
The present embodiment is only for explaining the present invention, and it is not limited to the present invention, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present invention.
Claims (8)
1. The utility model provides a follow-up management system of malignant tumor amalgamation diabetes based on high in clouds APP which characterized in that includes: the cloud management platform comprises a patient end and a doctor end;
the patient side comprises a personal information module, a disease knowledge module, a patient data monitoring module and a doctor-suffering communication module;
the doctor end comprises a patient filing module, an information publishing module, a doctor-patient communication module and a doctor data monitoring module.
Management platform applications, wherein the management platform applications comprise management group training, learning effect assessment and follow-up management;
and (3) management effect evaluation, wherein the management effect evaluation carries out corresponding intervention according to individual conditions of the patient, maintains the blood sugar and glycolipid metabolism levels of the patient within a reasonable range, and evaluates the application effect of the mode according to the operation quality and the prognosis quality.
2. The cloud APP-based follow-up management system for malignancy-associated diabetes mellitus of claim 1, wherein: the personal information module and the patient profiling module both comprise a personal profile, a case record and a visit record of the patient.
3. The cloud APP-based follow-up management system for malignancy-associated diabetes mellitus of claim 1, wherein: the disease knowledge module comprises a science popularization knowledge unit, a self-management knowledge unit, a blood sugar management knowledge unit, a glycolipid management knowledge unit, a diet knowledge unit and a motion knowledge unit.
4. The cloud APP-based follow-up management system for malignancy-associated diabetes mellitus of claim 1, wherein: the patient data monitoring module includes a blood glucose detection unit, a glycolipid detection unit, and a complication feedback unit.
5. The cloud APP-based follow-up management system for malignancy-associated diabetes mellitus of claim 1, wherein: the patient communication module and the doctor-patient communication module respectively comprise communication initiating, message reminding and appointment re-diagnosis.
6. The cloud APP-based follow-up management system for malignancy-associated diabetes mellitus of claim 1, wherein: the doctor data detection module comprises an early warning setting unit, a data uploading reminding unit and a data early warning intervention unit.
7. The cloud APP-based follow-up management system for malignancy-associated diabetes mellitus of claim 1, wherein: the information issuing module comprises a disease knowledge issuing unit and a consultation information issuing unit.
8. The cloud APP-based follow-up management system for malignancy-associated diabetes mellitus of claim 1, wherein: the management platform is used for training the established management group, requires the members in the group to master the use modes of the patient end and the doctor end of the management platform, evaluates the learning effect of the members in the group, can participate in management after the evaluation is passed, and is subjected to follow-up management based on the management platform for at least 1 year after the operation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011216421.XA CN112349366A (en) | 2020-11-04 | 2020-11-04 | Cloud APP-based follow-up management system for malignant tumor complicated with diabetes |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011216421.XA CN112349366A (en) | 2020-11-04 | 2020-11-04 | Cloud APP-based follow-up management system for malignant tumor complicated with diabetes |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112349366A true CN112349366A (en) | 2021-02-09 |
Family
ID=74428284
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011216421.XA Pending CN112349366A (en) | 2020-11-04 | 2020-11-04 | Cloud APP-based follow-up management system for malignant tumor complicated with diabetes |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112349366A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113362928A (en) * | 2021-06-11 | 2021-09-07 | 蔡知潼 | Patient interactive communication and medical popularization system |
| CN115547495A (en) * | 2022-09-02 | 2022-12-30 | 广东药科大学 | System for comprehensively evaluating glycolipid metabolism level and application thereof |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107506598A (en) * | 2017-08-31 | 2017-12-22 | 深圳市易特科信息技术有限公司 | Slow sick follow-up monitoring system and method based on health examination all-in-one |
| CN109102847A (en) * | 2018-06-28 | 2018-12-28 | 上海长海医院 | A kind of prediabetes " PC- wechat " intelligent management and follow-up system |
| US20190069779A1 (en) * | 2016-03-17 | 2019-03-07 | Koninklijke Philips N.V. | Method and apparatus for detecting clinical deterioration in patients on a telehealth service |
| CN111833976A (en) * | 2020-07-02 | 2020-10-27 | 中南大学湘雅医院 | Chronic arthritis patient follow-up management system based on block chain |
-
2020
- 2020-11-04 CN CN202011216421.XA patent/CN112349366A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20190069779A1 (en) * | 2016-03-17 | 2019-03-07 | Koninklijke Philips N.V. | Method and apparatus for detecting clinical deterioration in patients on a telehealth service |
| CN107506598A (en) * | 2017-08-31 | 2017-12-22 | 深圳市易特科信息技术有限公司 | Slow sick follow-up monitoring system and method based on health examination all-in-one |
| CN109102847A (en) * | 2018-06-28 | 2018-12-28 | 上海长海医院 | A kind of prediabetes " PC- wechat " intelligent management and follow-up system |
| CN111833976A (en) * | 2020-07-02 | 2020-10-27 | 中南大学湘雅医院 | Chronic arthritis patient follow-up management system based on block chain |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113362928A (en) * | 2021-06-11 | 2021-09-07 | 蔡知潼 | Patient interactive communication and medical popularization system |
| CN115547495A (en) * | 2022-09-02 | 2022-12-30 | 广东药科大学 | System for comprehensively evaluating glycolipid metabolism level and application thereof |
| CN115547495B (en) * | 2022-09-02 | 2023-09-12 | 广东药科大学 | System for comprehensively evaluating glycolipid metabolism level and application thereof |
| WO2024046160A1 (en) * | 2022-09-02 | 2024-03-07 | 广东药科大学 | System for comprehensively evaluating glycolipid metabolic level and use thereof |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Abbasi | Interest in the ketogenic diet grows for weight loss and type 2 diabetes | |
| Kwon et al. | Establishment of blood glucose monitoring system using the internet | |
| Freckmann et al. | Continuous glucose profiles in healthy subjects under everyday life conditions and after different meals | |
| Saudek et al. | Implantable insulin pump vs multiple-dose insulin for non—insulin-dependent diabetes mellitus: a randomized clinical trial | |
| Grant et al. | Quality of diabetes care in US academic medical centers: low rates of medical regimen change | |
| Kim | A randomized controlled trial of a nurse short-message service by cellular phone for people with diabetes | |
| Hanley et al. | Qualitative study of telemonitoring of blood glucose and blood pressure in type 2 diabetes | |
| Valenzuela et al. | Insulin pump therapy and health-related quality of life in children and adolescents with type 1 diabetes | |
| Shapses et al. | Vitamin D and prevention of cardiovascular disease and diabetes: why the evidence falls short | |
| Ong et al. | Using an electronic self‐management tool to support patients with chronic kidney disease (CKD): A CKD clinic self‐care model | |
| CN106845085A (en) | The online monitoring system and its application method of a kind of diabetes | |
| Cho et al. | An Internet-based health gateway device for interactive communication and automatic data uploading: clinical efficacy for type 2 diabetes in a multi-centre trial | |
| Mann et al. | Trends in medication use among US adults with diabetes mellitus: glycemic control at the expense of controlling cardiovascular risk factors | |
| CN112349366A (en) | Cloud APP-based follow-up management system for malignant tumor complicated with diabetes | |
| Mangione et al. | Screening for prediabetes and type 2 diabetes in children and adolescents: US Preventive Services Task Force recommendation statement | |
| Wingard et al. | The “right” of passage: Surviving the first year of dialysis | |
| Brown et al. | Use of acute care services among older homeless adults | |
| Cho et al. | Effectiveness and safety of a glucose data-filtering system with automatic response software to reduce the physician workload in managing type 2 diabetes | |
| Hempler et al. | Dietary education must fit into everyday life: a qualitative study of people with a Pakistani background and type 2 diabetes | |
| Silva et al. | High-intensity interval training improves cardiac autonomic function in patients with type 2 diabetes: A randomized controlled trial | |
| Rosman et al. | Individual goal-based plan based on nursing theory for adults with type 2 diabetes and self-care deficits: a study protocol of a randomised controlled trial | |
| Minkin et al. | Effectiveness of a motivational interviewing intervention on medication compliance | |
| Chen et al. | Effects of journaling dietary intake app on the health outcomes of chronic kidney disease stage 3B-5 | |
| Usoh et al. | Telehealth technologies and their benefits to people with diabetes | |
| Timmerberg et al. | Feasibility of using videoconferencing to provide diabetes education: a pilot study |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |