Methods and systems for generating a modified graphical user interface using an optimization protocol
A system for generating a modified graphical user interface using an optimization protocol, wherein the system includes: a display device, at least a computing device, a memory; and a processor communicatively connected to the memory, wherein the memory contains instructions configuring the processor to: receive a plurality of inputs; display a plurality of input triggers; generate, using the at least a processor, an admission pathway as a function of the verified input trigger, wherein generating the admission pathway includes generating an admission pathway machine-learning model using admission pathway training data configured to correlate each input of the plurality of inputs to the admission pathway; optimize each input of the plurality of inputs as a function of the admission pathway machine-learning model; modify the graphical user interface as a function of the admission pathway and an optimized input of the plurality of inputs, and display a modified graphical user interface.
1 . A system for generating a modified graphical user interface using an optimization protocol, wherein the system comprises:
a display device, wherein the display device displays a graphical user interface;
at least a computing device, wherein the computing device comprises:
a memory; and
at least a processor communicatively connected to the memory, wherein the memory contains instructions configuring the at least a processor to:
receive a plurality of inputs using the graphical user interface operating on the display device, wherein the plurality of inputs comprises specific-node data;
display, using the graphical user interface, a plurality of input triggers wherein an input trigger of the plurality of input triggers corresponds to at least a visual element;
generate an admission pathway as a function of the input trigger of the plurality of input triggers;
determine, using the at least a processor, an optimization score for each input of the plurality of inputs, wherein the optimization score comprises a quantitative assessment of each input's relevance to generating the admission pathway;
prioritize, using an optimization protocol, each input of the plurality of inputs as a function of the optimization score;
generate a modified graphical user interface as a function of the admission pathway and an optimized input of the plurality of inputs; and
display at least the admission pathway through the modified graphical user interface.
2 . The system of claim 1 , wherein generating the admission pathway comprises generating the admission pathway as a function of an admission pathway machine-learning model and wherein the admission pathway machine-learning model has been trained using admission pathway training data configured to correlate each input of the plurality of inputs to an admission pathway output.
3 . The system of claim 2 , wherein the admission pathway machine-learning model has been trained using historical data of a plurality of patient records.
4 . The system of claim 1 , wherein displaying at least the admission pathway through the modified graphical user interface comprises displaying, using a display device, at least the admission pathway through the modified graphical user interface.
5 . The system of claim 1 , displaying at least the admission pathway through the modified graphical user interface comprises generating the modified graphical user interface as a function of the admission pathway and an optimized input of the plurality of inputs.
6 . The system of claim 5 , wherein generating the optimized input comprises selecting at least one input of the plurality of inputs as a function of the optimization score.
7 . The system of claim 1 , wherein the plurality of inputs comprises a patient medical history.
8 . The system of claim 1 , wherein the processor is further configured to:
receive a modification to the optimization score through the modified graphical user interface; and
dynamically modify the admission pathway as a function of the modification.
9 . The system of claim 1 , displaying the plurality of input triggers further comprises comparing general-node data received from a database to the specific-node data, wherein the at least a processor is further configured to parse the database for the general-node data comprising at least a characteristic of the specific-node data.
10 . The system of claim 1 , wherein the visual element comprises an interactive element configured to allow a user to interact with the graphical user interface.
11 . A method for generating a modified graphical user interface using an optimization protocol, wherein the method comprises:
receiving, by at least a processor, a plurality of inputs using a graphical user interface operating on a display device, wherein the plurality of inputs comprises specific-node data;
displaying, using the graphical user interface, a plurality of input triggers wherein an input trigger of the plurality of input triggers corresponds to at least a visual element;
generating, using the at least a processor, an admission pathway as a function of the input trigger of the plurality of input triggers;
determining, using the at least a processor, an optimization score for each input of the plurality of inputs, wherein the optimization score comprises a quantitative assessment of each input's relevance to generating the admission pathway;
prioritizing, using an optimization protocol, each input of the plurality of inputs as a function of the optimization score;
generating, using the at least a processor, a modified graphical user interface as a function of the admission pathway and an optimized input of the plurality of inputs; and
displaying, by the at least a processor, at least the admission pathway through the modified graphical user interface.
12 . The method of claim 11 , wherein generating, by the at least a processor, the admission pathway comprises generating the admission pathway as a function of an admission pathway machine-learning model and wherein the admission pathway machine-learning model has been trained using admission pathway training data configured to correlate each input of the plurality of inputs to an admission pathway output.
13 . The method of claim 12 , wherein the admission pathway machine-learning model has been trained using historical data of a plurality of patient records.
14 . The method of claim 11 , wherein displaying, by the at least a processor, at least the admission pathway through the modified graphical user interface comprises displaying, using a downstream device, at least the admission pathway through the modified graphical user interface.
15 . The method of claim 11 , displaying at least the admission pathway through the modified graphical user interface comprises generating the modified graphical user interface as a function of the admission pathway and an optimized input of the plurality of inputs.
16 . The method of claim 15 , wherein generating the optimized input comprises selecting at least one input of the plurality of inputs as a function of the optimization score.
17 . The method of claim 11 , wherein the plurality of inputs comprises a patient medical history.
18 . The method of claim 11 , wherein the processor is further configured to:
receive a modification to the optimization score through the modified graphical user interface; and
dynamically modify the admission pathway as a function of the modification.
19 . The method of claim 11 , wherein:
displaying the plurality of input triggers further comprises comparing general-node data received from a database to the specific-node data; and
the method further comprises parsing, by the at least a processor, the database for the general-node data comprising at least a characteristic of the specific-node data.
20 . The method of claim 11 , wherein the visual element comprises an interactive element configured to allow a user to interact with the graphical user interface.