Methods and systems for automated monitoring and control of adherence parameters

A computer-implemented method for computing adherence to an action relating to a data item, the method comprising:

• receive one or more input signals, the one or more input signals comprising information associated with a first data item stored in the database, the first data item associated with a first value;
• perform an interpolation process on the input signals, the interpolation process comprising:
• deriving one or more conditions associated with the data item,
• mapping the conditions to classes of data items based on a mapping data structure, and
• mapping the classes of data items to a set of data items in the database based on the received information associated with the first data item, wherein the set of data items includes the first data item and a second data item;
• generating a tracking data structure based on the interpolation process, the tracking data structure comprising:
• a user identifier, a condition identifier, a class of data items, a data item identifier, a time corresponding to a change in the data time, an amount of time associated with the change in the data item;
• for each condition derived in the interpolation process, computing an adherence value from the tracking data structure based on the values of the first data item and the second data item;
• determining that at least one of the adherence values is below a predetermined threshold value;
• generating one or more warning signals in response to the at least one adherence value being below the predetermined threshold value;
• and
• transmitting the one or more warning signals to a server associated with the data item.

An apparatus configured to compute adherence to an action relating to a data item, the apparatus comprising:

• a hardware interface configured to receive one or more input signals, the one or more input signals comprising information associated with a first data item stored in the database, the first data item associated with a first value;
• a hardware processor configured to:
• perform an interpolation process on the input signals, the interpolation process comprising:
• deriving one or more conditions associated with the data item,
• mapping the conditions to classes of data items based on a mapping data structure, and
• mapping the classes of data items to a set of data items in the database based on the received information associated with the first data item, wherein the set of data items includes the first data item and a second data item;
• generate a tracking data structure based on the interpolation process, the tracking data structure comprising:
• a user identifier, a condition identifier, a class of data items, a data item identifier, a time corresponding to a change in the data time, an amount of time associated with the change in the data item;
• for each condition derived in the interpolation process, compute an adherence value from the tracking data structure based on the values of the first data item and the second data item;
• determine that at least one of the adherence values is below a predetermined threshold value;
• generate one or more warning signals in response to the at least one adherence value being below the predetermined threshold value;
• and
• a non-transitory computer readable medium configured to store the tracking data structure;
• wherein
• the hardware interface is further configured to transmit the one or more warning signals to a server associated with the data item.