Diabetes data analysis and interpretation method

The method of operating a digital computer for automated diabetes data interpretation by processing recorded diabetes data, including data corresponding to blood glucose levels and insulin therapy for a diabetic patient taken over a period of time, said method comprising the steps of:

• i) loading said diabetes data into said digital computer;
• ii) processing said diabetes data with said digital computer to
• a) identify insulin intake regimens corresponding to predefined significant changes in insulin therapy which are sustained for at least a predefined segment of said period of time,
• b) identify resulting statistically significant changes in said blood glucose levels within said identified insulin intake regimens, and
• c) identify clinically significant changes in said blood glucose levels from said identified statistically significant changes;
• and
• iii) generating an output from said digital computer highlighting the results of said processing of said diabetes data, including details pertaining to said identified insulin intake regimens and said clinically significant changes in said blood glucose levels,
• wherein said predefined significant changes in insulin therapy include (i) a change in number of shots per day, (ii) a change in amount of long-acting insulin, (iii) a change in amount of intermediate-acting insulin, and (iv) a change in amount of short-acting insulin.

A method of operating a digital computer for automated diabetes data interpretation by processing recorded diabetes data, including data corresponding to blood glucose levels and insulin therapy for a diabetic patient taken over a period of time, said method comprising the steps of:

• i) loading said diabetes data into said digital computer;
• ii) processing said diabetes data with said digital computer to
• a) identify insulin intake regimens corresponding to predefined significant changes in insulin therapy which are sustained for at least a predefined segment of said period of time,
• b) identify resulting statistically significant changes in said blood glucose levels within said identified insulin intake regimens, and
• c) identify clinically significant changes in said blood glucose levels from said identified statistically significant changes;
• and
• iii) generating an output from said digital computer highlighting the results of said processing of said diabetes data, including details pertaining to said identified insulin intake regimens and said clinically significant changes in said blood glucose levels, wherein said statistically significant changes in said blood glucose levels are identified by analysis of variance tests on said blood glucose levels and by mealtimes during which said data corresponding to said blood glucose levels were taken.

A method of operating a digital computer for automated diabetes data interpretation by processing recorded diabetes data, including data corresponding to blood glucose levels and insulin therapy for a diabetic patient taken over a period of time, said method comprising the steps of:

• i) loading said diabetes data into said digital computer;
• ii) processing said diabetes data with said digital computer to
• a) identify insulin intake regimens corresponding to predefined significant changes in insulin therapy which are sustained for at least a predefined segment of said period of time,
• b) identify resulting statistically significant changes in said blood glucose levels within said identified insulin intake regimens, and
• c) identify clinically significant changes in said blood glucose levels from said identified statistically significant changes;
• and
• iii) generating an output from said digital computer highlighting the results of said processing of said diabetes data, including details pertaining to said identified insulin intake regimens and said clinically significant changes in said blood glucose levels,
• wherein said clinically significant changes in said blood glucose levels are identified from said identified statistically significant changes by filtering said identified statistically significant changes in accordance with a set of screen rules based on clinical knowledge.

A method of operating a digital computer for automated diabetes data interpretation by processing recorded diabetes data, including data corresponding to blood glucose levels and insulin therapy for a diabetic patient taken over a period of time, said method comprising the steps of:

• i) loading said diabetes data into said digital computer;
• ii) processing said diabetes data with said digital computer to
• a) identify insulin intake regimens corresponding to predefined significant changes in insulin therapy which are sustained for at least a predefined segment of said period of time,
• b) identify resulting statistically significant changes in said blood glucose levels within said identified insulin intake regimens, and
• c) identify clinically significant changes in said blood glucose levels from said identified statistically significant changes;
• and
• iii) generating an output from said digital computer highlighting the results of said processing of said diabetes data, including details pertaining to said identified insulin intake regimens and said clinically significant changes in said blood glucose levels,
• wherein said processing of said diabetes data further includes identifying extreme blood glucose readings based on predefined thresholds and generating explanations and characterizations for said extreme blood glucose readings including details on insulin intake most likely to have affected said extreme blood glucose readings.

A method of operating a digital computer for automated diabetes data interpretation by processing recorded diabetes data, including data corresponding to blood glucose levels and insulin therapy for a diabetic patient taken over a period of time, said method comprising the steps of:

• i) loading said diabetes data into said digital computer;
• ii) processing said diabetes data with said digital computer to
• a) identify insulin intake regimens corresponding to predefined significant changes in insulin therapy which are sustained for at least a predefined segment of said period of time,
• b) identify resulting statistically significant changes in said blood glucose levels within said identified insulin intake regimens, and
• c) identify clinically significant changes in said blood glucose levels from said identified statistically significant changes;
• and
• iii) generating an output from said digital computer highlighting the results of said processing of said diabetes data, including details pertaining to said identified insulin intake regimens and said clinically significant changes in said blood glucose levels,
• further comprising the step of analyzing glycemic control and hypoglycemic conditions of said patient, wherein said step of analyzing glycemic control and hypoglycemic conditions of said patient includes computing statistics for blood glucose readings.

A method of operating a digital computer for automated diabetes data interpretation by processing recorded diabetes data including data corresponding to blood glucose levels and insulin therapy for a diabetic patient taken over a period of time, said method comprising the steps of:

• i) loading said diabetes data into said digital computer;
• ii) processing said diabetes data with said digital computer to
• a) identify insulin intake regimens corresponding to predefined significant changes in insulin therapy which are sustained for at least a predefined segment of said period of time,
• b) identify resulting statistically significant changes in said blood glucose levels within said identified insulin intake regimens, and
• c) identify clinically significant changes in said blood glucose levels from said identified statistically significant changes;
• and
• iii) generating an output from said digital computer highlighting the results of said processing of said diabetes data, including details pertaining to said identified insulin intake regimens and said clinically significant changes in said blood glucose levels,
• where said steps of generating an output from said digital computer includes generating a global summary including identification of said insulin intake regimens having statistically different effects on blood glucose levels, a comparison of said patient's average blood glucose level to a prescribed target range for said patient, and a report of occurrence of extreme ones of said blood glucose levels of said patient.

A method of operating a digital computer for automated diabetes data interpretation by processing recorded diabetes data, including data corresponding to blood glucose levels and insulin therapy for a diabetic patient taken over a period of time, said method comprising the steps of:

• i) loading said diabetes data into said digital computer;
• ii) processing said diabetes data with said digital computer to
• a) identify insulin intake regimens corresponding to predefined significant changes in insulin therapy which are sustained for at least a predefined segment of said period of time,
• b) identify resulting statistically significant changes in said blood glucose levels within said identified insulin intake regimens, and
• c) identify clinically significant changes in said blood glucose levels from said identified statistically significant changes;
• and
• iii) generating an output from said digital computer highlighting the results of said processing of said diabetes data, including details pertaining to said identified insulin intake regimens and said clinically significant changes in said blood glucose levels,
• wherein said step of generating an output from said digital computer includes generating an insulin dose summary including data specifying a display of said insulin intake regimens as a bar graph on a time line illustrating a relative duration of each of said insulin intake regimens.

A method of operating a digital computer for automated diabetes data interpretation by processing recorded diabetes data, including data corresponding to blood glucose levels and insulin therapy for a diabetic patient taken over a period of time, said method comprising the steps of:

• i) loading said diabetes data into said digital computer;
• ii) processing said diabetes data with said digital computer to
• a) identify insulin intake regimens corresponding to predefined significant changes in insulin therapy which are sustained for at least a predefined segment of said period of time,
• b) identify resulting statistically significant changes in said blood glucose levels within said identified insulin intake regimens, and
• c) identify clinically significant changes in said blood glucose levels from said identified statistically significant changes;
• and
• iii) generating an output from said digital computer highlighting the results of said processing of said diabetes data, including details pertaining to said identified insulin intake regimens and said clinically significant changes in said blood glucose levels,
• wherein said step of generating an output from said digital computer includes generating data specifying a bar graph indicating insulin dose recording frequency with regions on said bar graph marked to indicate either a presence or absence of recorded data for respective time periods on said bar graph corresponding to said regions.

A method of operating a digital computer for automated diabetes data interpretation by processing recorded diabetes data, including data corresponding to blood glucose levels and insulin therapy for a diabetic patient taken over a period of time, said method comprising the steps of:

• i) loading said diabetes data into said digital computer;
• ii) processing said diabetes data with said digital computer to
• a) identify insulin intake regimens corresponding to predefined significant changes in insulin therapy which are sustained for at least a predefined segment of said period of time,
• b) identify resulting statistically significant changes in said blood glucose levels within said identified insulin intake regimens, and
• c) identify clinically significant changes in said blood glucose levels from said identified statistically significant changes;
• and
• iii) generating an output from said digital computer highlighting the results of said processing of said diabetes data, including details pertaining to said identified insulin intake regimens and said clinically significant changes in said blood glucose levels,
• wherein said step of generating an output from said digital computer includes generating data specifying a bar graph indicating blood glucose measurement frequency with regions on said bar graph marked to indicate either a presence or absence of recorded data for respective time periods on said bar graph.

A method of operating a digital computer for automated diabetes data interpretation by processing recorded diabetes data, including data corresponding to blood glucose levels and insulin therapy for a diabetic patient taken over a period of time, said method comprising the steps of:

• i) loading said diabetes data into said digital computer;
• ii) processing said diabetes data with said digital computer to
• a) identify insulin intake regimens corresponding to predefined significant changes in insulin therapy which are sustained for at least a predefined segment of said period of time,
• b) identify resulting statistically significant changes in said blood glucose levels within said identified insulin intake regimens, and
• c) identify clinically significant changes in said blood glucose levels from said identified statistically significant changes;
• and
• iii) generating an output from said digital computer highlighting the results of said processing of said diabetes data, including details pertaining to said identified insulin intake regimens and said clinically significant changes in said blood glucose levels,
• wherein said step of generating an output from said digital computer includes generating data specifying separate histograms of glucose measurements taken during respective ones of said insulin intake regimens.

A method of operating a digital computer for automated diabetes data interpretation by processing recorded diabetes data, including data corresponding to blood glucose levels and insulin therapy for a diabetic patient taken over a period of time, said method comprising the steps of:

• i) loading said diabetes data into said digital computer;
• ii) processing said diabetes data with said digital computer to
• a) identify insulin intake regimens corresponding to predefined significant changes in insulin therapy which are sustained for at least a predefined segment of said period of time,
• b) identify resulting statistically significant changes in said blood glucose levels within said identified insulin intake regimens, and
• c) identify clinically significant changes in said blood glucose levels from said identified statistically significant changes;
• and
• iii) generating an output from said digital computer highlighting the results of said processing of said diabetes data, including details pertaining to said identified insulin intake regimens and said clinically significant changes in said blood glucose levels,
• wherein said step of generating an output from said digital computer includes generating language-independent tokens representing text, and replacing the language-independent tokens with corresponding phrases in a selected natural language.

A method of operating a digital computer for automated diabetes data interpretation by processing recorded diabetes data, including data corresponding to insulin therapy for a diabetic patient taken over a period of time, said method comprising the steps of:

• i) loading said diabetes data into said digital computer;
• ii) processing said diabetes data with said digital computer to identify a series of insulin intake regimens corresponding to predefined significant changes in insulin therapy which are sustained for at least a predefined segment of said period of time;
• and
• iii) generating an output from said digital computer identifying said series of intake regimens in said period of time;
• wherein said predefined significant changes include a hierarchy of clinically significant changes, and wherein said series of insulin intake regimens is identified as having a most significant one of said changes in said hierarchy which is sustained for at least said predefined segment of said period of time.

A method of operating a digital computer for analysis and display of diabetes data, including data corresponding to blood glucose levels and insulin therapy for a diabetic patient taken over a period of time, said method comprising the steps of:

• i) loading said diabetes data into said digital computer;
• ii) processing said diabetes data with said digital computer to generate graphical data specifying a visual image;
• and
• iii) outputting said graphical data from said digital computer to an output device generating said visual image;
• wherein said graphical data specifies a first bar graph displaying insulin dose recording frequency on a first time line, said first bar graph having regions selectively marked to indicate either a presence or absence of recorded insulin dose data at respective times on said first time line, and
• wherein said graphical data specifies a second bar graph displaying blood glucose recording frequency on a second time line, said second bar graph having areas marked to indicate either a presence or absence of recorded blood glucose data at respective times on said second time line.

A method of operating a digital computer for analysis and display of diabetes data, including data corresponding to blood glucose levels and insulin therapy for a diabetic patient taken over a period of time, said method comprising the steps of:

• i) loading said diabetes data into said digital computer;
• ii) processing said diabetes data with said digital computer to generate graphical data specifying components of a visual image;
• and
• iii) outputting said graphical data from said digital computer to an output device generating said visual image;
• wherein said components of said visual image include:
• a) a global summary including identification of insulin treatment regimens having statistically different effects on said blood glucose levels, a comparison of said patient's average blood glucose level to a prescribed target range for said patient, and a report of occurrences of extreme ones of said blood glucose levels of said patient;
• b) an insulin dose summary including a display of said insulin intake regimens on a first time line illustrating a relative duration of each of said insulin intake regimens;
• c) a glucose measurement summary including a display of blood glucose measurements arranged on a second time line;
• d) an analysis of said blood glucose measurements including statistics and complicating factors for predefined daily time intervals;
• and
• e) an analysis of said extreme ones of said blood glucose levels and explanations and characterizations for said extreme ones of said blood glucose levels.