KR101007594B1 - System and method for semi automatic response of Clinical Decision Support System in management of blood glucose - Google Patents

Abstract

The present invention is to provide a semi-automated blood sugar management system (SARS) and a method applied to the clinical decision support system (CDSS), the patient condition monitoring unit 11 to extract the blood sugar information by monitoring the patient status of diabetics Wow; A filtering unit 12 for filtering blood sugar information of the diabetic patient extracted by the patient state monitoring unit 11; According to the blood glucose information of the diabetic patients filtered by the filtering unit 12, the patient state determination unit 13 for discriminating the patient state into a group of reinforcement group, normal group, and good group, and processes it into a good state, an undetermined state, and an unfavorable state. Wow; A good state notification unit 14 for notifying the patient terminal 30 of the patient determined to be in a good state by the patient state determination unit 13; An indeterminate state notification unit 15 which notifies the doctor terminal 20 about a patient determined as indeterminate by the patient state determination unit 13; By including the unhealthy state notification unit 16 for notifying the doctor terminal 20 for the patient determined to be unhealthy in the patient state determination unit 13, by automatically analyzing and determining the blood glucose results Implement a web-based blood sugar management system that applies classification logic to generate a list of problem patients or patients who need to manage and report it to the medical staff so that the medical staff can easily identify the condition of the diabetic patient and send recommendations immediately. This will reduce the amount of time required, and increase the degree of compliance with the diabetes management guidelines.

Clinical Decision Support System, CDSS, Semi-Automated, Glucose Management, Patient Condition, Monitoring

Description

System and method for semi automatic response of Clinical Decision Support System in management of blood glucose}

The present invention relates to blood sugar management, and in particular, by implementing a web-based blood sugar management system that applies logic to automatically analyze, determine, and classify blood sugar results, a medical staff can generate a patient list and report to a medical staff. Semi-automated blood sugar management with clinical decision support system, which makes it easy to identify the status of diabetics and send recommendations immediately, reducing the time required for monitoring and increasing the degree of compliance with diabetes management guidelines. A system and method thereof are provided.

As of 2003, the number of diabetic patients in Korea is 4.29 million, or 8.29% of the total population, and considering the current incidence rate, it is estimated to be 4.9 million in 2010, 620 million in 2020, and 720 million in 2030. One out of every seven people is concerned that serious symptoms will occur.

The most serious problems of diabetes are the development of chronic diabetic complications such as diabetic retinopathy, nephropathy, neuropathy, dyslipidemia, cardiovascular diseases (stroke, angina, myocardial infarction, peripheral vascular disease, etc.). Due to these chronic complications, not only personal problems but also national economic losses are significant. In 2004, medical expenses reported to the National Health Insurance Corporation amounted to KRW 277.1 billion.

Regardless of the treatment method, strict blood sugar control is most important for the prevention of diabetic complications. Since most diabetics have no symptoms, only 3-4 hospital visits a year without any efforts to control blood sugar. And while hospitals offer diabetes education programs, there are practical challenges to meeting the needs of different patients.

With the advent of the U-Health concept, efforts are being made to provide health care and medical services that can be used "anytime, anywhere" using wired and wireless networking technology. With the start of these U-health services, existing services that were limited to one-time treatment in hospitals are now extended throughout the life and time in all areas of real life, including at home. Especially in chronic patients, it is possible to continuously monitor the condition of patients for 24 hours.

In the blood glucose management, the concept of u-health was introduced, and a diabetes management system using a mobile terminal or a website has been developed. However, the management level is only to input and confirm the blood sugar level, or to inform the case that there is an abnormality in the blood sugar level, there is a problem that the blood sugar management is not effective because the identification of patients who do not follow the management guidelines is delayed. In addition, there is a problem that the medical staff spends a lot of time in monitoring the patient in the case of a system in which the medical staff checks the blood glucose data for a certain period and periodically recommends the data regardless of the patient's blood sugar level or the degree of management guidelines.

Accordingly, the present invention has been proposed to solve the above-mentioned conventional problems, and an object of the present invention is to implement a web-based blood sugar management system applying logic for automatically analyzing, determining, and classifying blood sugar results. The present invention provides a semi-automated blood sugar management system and method using a clinical decision support system that can generate a list of patients requiring management and report it to a medical staff.

1 is a block diagram of a semi-automated blood sugar management system to which a clinical decision support system is applied according to an embodiment of the present invention, and FIG. 2 is a conceptual diagram to which FIG. 1 is applied.

As shown therein, the patient condition monitoring unit 11 for monitoring the patient condition of the diabetic patient to extract blood sugar information; A filtering unit 12 for filtering blood sugar information of the diabetic patient extracted by the patient state monitoring unit 11; According to the blood glucose information of the diabetic patients filtered by the filtering unit 12, the patient state judging unit 13 to determine the patient state as a group of reinforcement group, normal group, good group, and treated as good state, undetermined state, unfavorable state (13). )Wow; A good state notification unit 14 for notifying the patient terminal 30 of the patient determined to be in a good state by the patient state determination unit 13; An indeterminate state notification unit 15 which notifies the doctor terminal 20 about a patient determined as indeterminate by the patient state determination unit 13; And a non-healthy state notification unit 16 for notifying the doctor terminal 20 about the patient determined to be unhealthy by the patient state determination unit 13.

In the patient state determination unit 13, the reinforcement group is set to a patient who is 7% or more of the glycated hemoglobin target while being treated with insulin.

When the patient state determination unit 13 manages the reinforcement group in a list, a patient without a blood sugar input, a hypoglycemic patient, a patient having a blood sugar input less than 22 times 4 days or more, and 50% or more of the input blood sugar values deviate from the normal value. Patients, or patients with abnormal blood glucose ratio, characterized in that the management of the strengthening group list including one or more.

In the patient state determination unit 13, the normal group is set as a patient who is being treated with an oral glucose lowering agent and has a glycated hemoglobin target of 7% or more, or a patient who is under insulin treatment and has reached a glycated hemoglobin target of 7% or less.

When the patient state determination unit 13 manages the common group in a list, a patient without a blood sugar input, a hypoglycemic patient, a patient whose blood sugar input is 9 times or less for 3 days, and 50% or more of the blood sugar values entered are normal values. Out of patients, or patients with abnormal blood glucose ratio, characterized in that the management of the common group list including one or more.

In the patient state determination unit 13, the good group is characterized in that it is set as a patient who is being treated with oral hypoglycemic agents and whose glycated hemoglobin target is less than 7% or a patient who is controlled only by diet and exercise therapy.

The patient state determination unit 13, when managing the good group in a list, a patient without a blood sugar input, a hypoglycemic patient, a patient whose blood sugar input is two or less times, a patient whose blood sugar level is 50% or more out of the normal value In addition, the blood sugar ratio is characterized in that it is managed in a good group list including one or more of the patients with abnormalities.

The good state notification unit 14, by using a short message service (SMS) or MMS (Multimedia Messaging Service) to notify the blood sugar-related information to the terminal 30 of the patient, characterized in that do.

The undetermined state notification unit 15, characterized in that the SMBG (Self Monitoring Blood Glucose, self blood sugar monitoring), including the recommendation to implement.

Figure 3 is a flow chart illustrating a semi-automated blood sugar management method applied to the clinical decision support system according to an embodiment of the present invention.

As shown therein, a first step (ST1) of monitoring a patient state of a diabetic patient to collect blood sugar related information and determining whether there is a blood sugar input; A second step (ST2 to ST4) of notifying the patient terminal 30 of a text message recommending blood sugar input or notifying the doctor terminal 20 of related information, if it is determined that there is no blood sugar input in the first step; A third step (ST5) of determining whether there is hypoglycemia when it is determined that there is a blood sugar input in the first step; A fourth step (ST6) of making a low blood sugar list and notifying the doctor terminal 20 if it is determined that there is hypoglycemia in the third step; If it is determined in the third step that there is no hypoglycemia, the blood glucose measurement is more than a predetermined number of times for a predetermined period (for example, two weeks) (for example, 23 or more 5 days, 10 or more 4 days, or 3 or more times a day) A fifth step ST7 for determining whether it is measured; A sixth step (ST8) of determining whether the number of blood sugar measurements of the fortified group and the normal group is within a preset range if the blood glucose measurement has not been measured more than a preset number of times in the fifth step; In the sixth step, if the number of times of blood sugar measurement between the fortified group and the normal group is not within a preset range, a text message recommending blood sugar input is notified to the patient terminal 30 or the related information to the doctor terminal 20. Steps ST9 and ST10; In the fifth step, if the blood glucose measurement is measured more than a predetermined number of times for a predetermined period, or if the blood sugar measurement number of the fortified group and the normal group is within the preset range in the sixth step, it is determined whether the blood sugar ratio is within the preset range. And an eighth step (ST11 to ST21) of notifying the patient terminal 30 or the doctor terminal 20.

The second step is to send a text message to the patient terminal 30 recommending that the blood sugar is input once every two days for the strengthening group, once every three days for the normal group, and once every seven days for the good group. It is characterized by.

The fifth step is characterized in that it is determined whether at least 23 times, four days 10 times, or three times or more measured five days during the two-week period.

The eighth step, if it is determined that the abnormal blood sugar patients, the step of performing a list-up to the abnormal blood sugar patient management target; characterized in that it comprises a.

In the eighth step, when the blood sugar ratio is abnormal, it is determined whether the blood sugar is normal blood sugar, and then a list of patients having a blood sugar equal to or greater than a preset value (for example, the rate at the 6-week time point for two consecutive three times a week) To perform (ST21); characterized in that performed.

Semi-automated blood sugar management system and method using clinical decision support system according to the present invention implement a web-based blood sugar management system that applies logic to automatically analyze, determine and classify blood sugar results, and problem patients or patients who need management By creating a list and reporting it to the staff, the staff can easily identify the condition of the diabetic and send recommendations immediately, reducing the time it takes to monitor and improving the patient's compliance with diabetes management guidelines. do.

A semi-automated blood sugar management system to which the clinical decision support system according to the present invention configured as described above is applied and a preferred embodiment of the method will be described in detail with reference to the accompanying drawings. In the following description of the present invention, detailed descriptions of well-known functions or configurations will be omitted if it is determined that the detailed description of the present invention may unnecessarily obscure the subject matter of the present invention. In addition, terms to be described below are terms defined in consideration of functions in the present invention, which may vary according to intention or precedent of a user or an operator, and thus, the meaning of each term should be interpreted based on the contents throughout the present specification. will be.

First, the present invention is to implement a web-based blood sugar management system applying the logic to automatically analyze, determine and classify blood sugar results to generate a patient list or a patient list that requires management to report to the medical staff.

Here, the Clinical Decision Support System (CDSS) is a system that helps a clinician (usually a doctor) to see a subject's (usually a patient's) status and help them make decisions about treatment, prescription, etc. A system that a computer can support directly or indirectly in the decision making process of a doctor. To this end, the CDSS applies the medical knowledge of a given patient's specific problem to derive the best solution and provide it in a convenient form for the user. In particular, as knowledge acquisition methods, mainly AI technology is used to provide solutions to problems, thereby directly supporting decision making. Neural networks, case based reasoning (CBR), statistical methods, and data mining are used as knowledge acquisition methods in the CDSS. In order to increase the predictive power of the knowledge acquisition model, it is necessary to first select the subjects who can represent the characteristics of the disease, and to select the optimal characteristics of them to develop a knowledge acquisition model.

1 is a block diagram of a semi-automated blood sugar management system to which a clinical decision support system is applied according to an embodiment of the present invention, and FIG. 2 is a conceptual diagram to which FIG. 1 is applied.

First, the patient state monitoring unit 11 extracts blood sugar information by monitoring a patient state of a diabetic patient.

The filtering unit 12 filters the blood glucose information of the diabetic patient extracted by the patient state monitoring unit 11 so that the patient state determination unit 13 may determine the patient state and take necessary measures.

The patient state determination unit 13 determines the patient state into a group of reinforcement group, normal group, and good group according to the blood glucose information of the diabetic patient filtered by the filtering unit 12, and processes it into a good state, an undetermined state, and an unhealthy state. .

The good state notification unit 14 notifies the patient terminal 30 of the patient determined to be in a good state by the patient state determining unit 13. In this case, the patient terminal 30 may be a mobile communication terminal or a computer capable of using e-mail. The patient terminal 30 may be a short message service (SMS) or a multimedia messaging service (MMS). ) To notify of blood sugar related information or via e-mail. Of course, the good state notification unit 14 may not only notify the blood glucose good state of the patient, but also notify the undetermined state and ungood state to the patient terminal 30.

The undecided state notification unit 15 notifies the doctor terminal 20 about the patient determined as undecided by the patient state determination unit 13. At this time, the undetermined state notification unit 15 performs a recommendation for the implementation of the Self Monitoring Blood Glucose (SMBG) and notifies the pseudo terminal 20 of the result. The pseudo terminal 20 may be a computer connected to the semi-automated blood glucose management system (SARS) of the present invention.

The unfavorable state notification unit 16 notifies the doctor terminal 20 about the patient determined to be unhealthy in the patient state determination unit 13. Such an unhealthy state notification unit 14 may perform notification of a good state and an undetermined state to the doctor terminal 30 as well as a notification of a blood sugar non-good state of a patient.

Figure 3 is a flow chart illustrating a semi-automated blood sugar management method applied to the clinical decision support system according to an embodiment of the present invention.

First, the blood glucose related information is collected by monitoring the patient state of the diabetic patient to determine whether there is a blood sugar input (ST1).

If it is determined that there is no blood sugar input, a text message is recommended to input blood sugar once every two days for the fortified group, once every three days for the normal group, and once every seven days for the good group (ST2). 30) (ST3). And it repeats this for 15 days and performs a list up (ST4).

In addition, by analyzing the blood sugar input information of the patient measured for one week, it is determined whether the patient has hypoglycemia (ST5). Therefore, if it is determined that there is hypoglycemia, a hypoglycemic list is prepared and notified to the doctor terminal 20 (ST6).

In addition, it is determined whether the blood glucose measurement is measured more than a predetermined number of times (eg, 5 days 23 days, 4 days 10 times, or 3 times a day) for a predetermined period (eg, 2 weeks) (ST7).

Therefore, if the blood glucose measurement is not measured more than a predetermined number of times in a predetermined period, it is determined whether the number of times the blood glucose measurement of the fortified group and the normal group is within the preset range. That is, the fortification group may be in the range of "12 <= blood sugar <= 22", and the normal group may be in the range of "6 <= blood sugar <= 9" (ST8). So, if the number of blood glucose measurement within this range is not available, "Please measure blood glucose level more than 23 times 5 days", "Please measure blood sugar level more than 4 times 10 times", or "Check blood sugar level more than 3 times a day" Please send a recommendation message such as "please" (ST9), and receives the measurement value three times in a row for two weeks and performs a list-up of the patient's blood glucose information list at 6 weeks (ST10).

If blood glucose is measured more than 23 times 5 days before or after> = 10, postprandial> = 7, or if blood sugar is measured more than 10 times 4 days before or after meals> = 5, postprandial> = 3 or 3 If measured more than once, it is determined whether> = 2 before meals and> = 1 after meals (ST11).

If the range of blood sugar ratio is satisfied, whether it is normal 12 times when measured more than 23 times in 5 days, 6 times normal when measured more than 10 times in 4 days, or 2 times normal when measured more than 3 times a day. Determine (ST12). If it is determined that the normal blood sugar message is sent to the patient terminal 30, such as "ST13". Also, if it is determined that it is normal, but the blood sugar before meals, after meals, and before bedtime is in the range of 61 to 79 (ST14), a text message such as "well managed but at risk of hypoglycemia" is sent to the patient terminal 30 (ST15). In addition, if it is determined that it is not normal, it is selected as the target of [abnormal blood glucose patients] management and performs a list up (ST17).

Also, if the range of blood sugar ratio is not satisfied, is it normal 12 times when measured more than 23 times in 5 days, 6 times normal when measured more than 10 times in 4 days, or 2 times normal when measured more than 3 times a day. Is determined (ST16). If it is determined that it is not normal, it is selected as the target of [abnormal blood glucose patient] and performs a list up (ST17).

Also, if it is determined that it is normal, a text message such as "Measure blood sugar is very good evenly" is sent to the patient terminal 30 (ST18). Then, the measurement value is input three times in two consecutive weeks and a list of blood glucose information list of the patient is performed at 6 weeks (ST21).

Also, if it is determined that it is normal, but before the meal, after meals, and before the bedtime blood sugar ranges from 61 to 79 (ST19), a text message such as "well managed but at risk of hypoglycemia and evenly measured" is sent to the patient terminal 30 ( ST20). Then, the measurement value is input three times in two consecutive weeks and a list of blood glucose information list of the patient is performed at 6 weeks (ST21).

Figure 4 is a table showing an example of dividing the diabetic patients into groups in the present invention, it shows an example of providing a blood glucose measurement recommendation to the patient divided into three groups according to the type of treatment and the degree of glycemic control of the diabetic patient.

Thus, the enrichment group is set to patients who are on insulin therapy and whose glycated hemoglobin target is 7% or more. The recommended number of blood glucose measurements for these fortified groups can be set at least twice daily.

In addition, the normal group may be set as a patient who is treated with oral hypoglycemic agents and has a glycated hemoglobin target of 7% or more or a patient who has been treated with insulin and has reached a glycated hemoglobin target of 7% or less. The recommended number of blood glucose measurements for this common group can be set at least once daily.

In addition, the good group can be set as a patient who is being treated with oral hypoglycemic agents and under the glycosylated hemoglobin target of 7% or who is only controlled by diet or exercise therapy. The recommended number of blood glucose measurements for this good group can be set at least twice per week.

Figure 5 is a table showing the contents of the text message sent according to the blood sugar measurement result in the present invention, it shows an example of a message sent to the patient according to the number or results of blood sugar measurement.

So, for the Ganghwa, Normal, and Good groups, 1) No blood sugar input, 2) Insufficient blood glucose measurement, 3) Blood sugar ratio is normal and blood sugar is normal, 4) Blood sugar ratio is normal, but the blood sugar is normal, After eating, in the range of 61 ~ 79 before bedtime, 5) blood sugar ratio is abnormal, but blood sugar is normal, 6) blood sugar ratio is abnormal, blood sugar is before meal, after meals, bedtime before the range of 61 ~ 79 Select and send the appropriate text message as shown in 5.

Figure 6 is a table showing an example of providing a reason for the evaluation and the detailed reason for the patient is generated in the list that requires the management of the medical staff in the present invention.

Therefore, the strengthening group may be set as a patient without a blood sugar input, a hypoglycemic patient, a patient whose blood sugar input is 22 or less 4 times a day, a patient whose 50% or more of the blood glucose level is out of the normal value, or a patient whose blood sugar ratio is abnormal.

In addition, the general group may be set as a patient without a blood sugar input, a hypoglycemic patient, a patient whose blood glucose input is 9 times or less for 3 days, a patient whose 50% or more of the input blood glucose level is out of the normal value, or a patient whose blood sugar ratio is abnormal.

In addition, the good group may be set as a patient without a blood sugar input, a hypoglycemic patient, a patient whose blood sugar input is twice or less, a patient whose blood glucose level is 50% or more out of a normal value, or a patient whose blood sugar ratio is abnormal.

FIG. 7 is a view related to an actual screen of a semi-automated blood sugar managing program in the present invention, and shows an example of providing a list of management subjects displayed on a medical staff screen and a reason thereof.

As such, the present invention implements a web-based blood sugar management system that applies logic for automatically analyzing, determining, and classifying blood sugar results to generate a patient list and report a patient to the medical staff to easily manage the status of a diabetic patient. The ability to identify and promptly send recommendations can reduce the time it takes to monitor and improve the patient's compliance with diabetes guidelines.

Although the above has been described as being limited to the preferred embodiment of the present invention, the present invention is not limited thereto and various changes, modifications, and equivalents may be used. Therefore, the present invention can be applied by appropriately modifying the above embodiments, it will be obvious that such application also belongs to the scope of the present invention based on the technical idea described in the claims below.

1 is a block diagram of a semi-automated blood sugar management system to which a clinical decision support system is applied according to an embodiment of the present invention.

2 is a conceptual diagram to which FIG. 1 is applied.

Figure 3 is a flow chart illustrating a semi-automated blood sugar management method applied to the clinical decision support system according to an embodiment of the present invention.

Figure 4 is a table showing an example of dividing the diabetic patients into groups in the present invention, it shows an example of providing a blood glucose measurement recommendation to the patient divided into three groups according to the type of treatment and the degree of glycemic control of the diabetic patient.

Figure 5 is a table showing the contents of the text message sent according to the blood sugar measurement result in the present invention, it shows an example of a message sent to the patient according to the number or results of blood sugar measurement.

Figure 6 is a table showing an example of providing a reason for the evaluation and the detailed reason for the patient is generated in the list that requires the management of the medical staff in the present invention.

FIG. 7 is a view related to an actual screen of a semi-automated blood sugar managing program in the present invention, and shows an example of providing a list of management subjects displayed on a medical staff screen and a reason thereof.

Explanation of symbols on the main parts of the drawings

10: Semi-Automated Glucose Management System (SARS)

11: patient condition monitoring unit

12: filtering unit

13: patient status determination unit

14: good status notification unit

15: Indeterminate status notification unit

16: unhealthy status notification unit

20: doctor terminal

30: patient terminal

Claims (14)

A patient state monitoring unit 11 for monitoring blood glucose information by monitoring a patient state of a diabetic patient; A filtering unit 12 for filtering blood sugar information of the diabetic patient extracted by the patient state monitoring unit 11; According to the blood glucose information of the diabetic patients filtered by the filtering unit 12, the patient state determination unit 13 for discriminating the patient state into a group of reinforcement group, normal group, and good group, and processes it into a good state, an undetermined state, and an unfavorable state. Wow; A good state notification unit 14 for notifying the patient terminal 30 of the patient determined to be in a good state by the patient state determination unit 13; An indeterminate state notification unit 15 which notifies the doctor terminal 20 about a patient determined as indeterminate by the patient state determination unit 13; An unhealthy state notification unit 16 for notifying the doctor terminal 20 of the patient determined to be unhealthy by the patient state determination unit 13; Semi-automated blood sugar management system applied to the clinical decision support system, characterized in that configured to include. The method according to claim 1, Reinforcement group in the patient state determination unit 13, A semi-automated blood sugar management system to which the clinical decision support system is applied, wherein the patient is under insulin treatment and has a glycated hemoglobin target of 7% or more. The method according to claim 1, The patient state determination unit 13, When managing the Ganghwa group as a list, one of the patients without blood sugar input, hypoglycemic patients, patients with blood glucose input less than 22 times per day, patients with 50% or more of the blood glucose level out of the normal value, or patients with abnormal blood glucose ratio Semi-automated blood sugar management system to which the clinical decision support system is applied, characterized in that it is managed by the reinforcement group list including the above. The method according to claim 1, In the patient state determination unit 13, the ordinary group, A semi-automated glycemic management system to which a clinical decision support system is applied which is set as a patient who is treated with an oral glycemic agent and has a glycated hemoglobin target of 7% or more or a patient who is treated with insulin and has reached a glycated hemoglobin target of 7% or less. The method according to claim 1, The patient state determination unit 13, When managing the common group, patients with no blood sugar input, hypoglycemic patients, patients with blood glucose input less than 9 times in 3 days, patients with more than 50% of the blood glucose level out of the normal value, or patients with abnormal blood glucose ratio Semi-automated blood sugar management system to which the clinical decision support system is applied, characterized in that it is managed by the common group list including one or more. The method according to claim 1, The good group in the patient state determination unit 13, A semi-automated glycemic management system to which a clinical decision support system is applied, which is being treated with oral hypoglycemic agents and set to a patient whose glycated hemoglobin target is less than 7% or a diet or exercise therapy. The method according to claim 1, The patient state determination unit 13, When managing good groups, one or more patients without blood sugar input, hypoglycemic patients, patients with less than 2 blood sugar inputs, patients with 50% or more of their blood glucose levels out of normal, or patients with abnormal blood glucose percentages Semi-automated blood sugar management system applied to the clinical decision support system, characterized in that to manage the list of good groups, including. The method according to any one of claims 1 to 7, The good state notification unit 14, Semi-automated blood sugar management system applied to the clinical decision support system, characterized in that notifying the blood sugar-related information to the terminal of the patient by using the SMS or MMS. The method according to any one of claims 1 to 7, The undecided state notification unit 15, Semi-automated blood sugar management system to which clinical decision support system is applied, including SMBG implementation recommendation. A first step (ST1) of monitoring a patient state of a diabetic patient to collect blood sugar related information and determining whether there is a blood sugar input; A second step (ST2 to ST4) of notifying the patient terminal 30 of the text message recommending blood sugar input or of the related information to the doctor terminal 20 when it is determined that there is no blood sugar input in the first step; A third step (ST5) of determining whether there is hypoglycemia when it is determined that there is a blood sugar input in the first step; A fourth step (ST6) of making a low blood sugar list and notifying the doctor terminal 20 when it is determined that there is hypoglycemia in the third step; A fifth step (ST7) of determining whether there is no hypoglycemia in the third step, whether the blood glucose measurement is measured more than a predetermined number of times for a predetermined period; A sixth step (ST8) of determining whether the number of blood sugar measurements of the fortified group and the normal group is within a preset range if the blood glucose measurement has not been measured more than a preset number of times in the fifth step; In the sixth step, if the number of times of blood sugar measurement between the fortified group and the normal group is not within a preset range, a text message recommending blood sugar input is notified to the patient terminal 30 or the related information to the doctor terminal 20. Steps ST9 and ST10; In the fifth step, if the blood glucose measurement is measured more than a predetermined number of times for a predetermined period or in the sixth step, if the blood sugar of the fortified group and the normal group is within a preset range, it is determined whether the blood sugar ratio is within the preset range. An eighth step (ST11 to ST21) for notifying the terminal 30 or the pseudo terminal 20; Semi-automated blood sugar management system applied to the clinical decision support system, characterized in that to perform. The method according to claim 10, The second step, Clinician, characterized in that to send a text message to the patient terminal 30 recommended to enter the blood sugar once every 2 days for the Ganghwa group, once every 3 days for the normal group, once every 7 days for the good group Semi-automated blood sugar management system with decision support system. The method according to claim 10, The fifth step, A semi-automated blood sugar management system to which a clinical decision support system is applied, characterized in that it is determined whether at least 23 times, 4 times 10 times, or 3 times a day for 5 weeks. The method according to any one of claims 10 to 12, The eighth step, If it is determined that the abnormal blood sugar patients, the step of the abnormal blood sugar patient management list (ST17); Semi-automated blood sugar management system applied to the clinical decision support system, characterized in that to perform. The method according to any one of claims 10 to 12, The eighth step, When the blood sugar ratio is abnormal, determining whether the blood sugar is normal blood sugar and then performing a list up of patients having a blood sugar of a predetermined value or more (ST21); Semi-automated blood sugar management method applied to the clinical decision support system, characterized in that to perform.

Images