Alert system for auditory queues

1. A method for generating health alerts, comprising:

identifying a location of a patient in a physical environment;

receiving an audio signal occurring around a patient during a medical procedure based on the identified location of the patient;

identifying unstructured text from the physical environment based on the received audio signal;

performing natural language processing on the unstructured text to produce annotated text;

comparing the annotated text to patient medical information to find a potential conflict; and

generating an alert based on the potential conflict.

2. The method of claim 1 , further comprising:

converting the received audio signal to the unstructured text.

3. The method of claim 1 , further comprising:

receiving a video signal from the physical environment; and

extracting additional unstructured text from the video signal.

4. The method of claim 1 , further comprising:

generating metadata based on the unstructured text, wherein the annotated text includes the metadata.

5. The method of claim 4 , further comprising:

applying one or more inference rules to produce additional risk information, wherein the metadata comprises the additional risk information.

6. The method of claim 1 , further comprising:

receiving a patient medical record; and

performing natural language processing on the patient medical record to generate a set of risk factors, wherein the patient medical information comprises the set of risk factors.

7. The method of claim 6 , wherein:

the set of risk factors comprises allergies, prior medications, diseases, medical history, lab values, movement restrictions, sensitivities, or any combination thereof.

8. The method of claim 1 , further comprising:

identifying the patient located in the physical environment; and

retrieving the patient medical information based on the identification of the patient.

9. The method of claim 8 , wherein:

the patient is identified based on an electronic identification device, a radio frequency identification device, a schedule, a recognition application, or any combination thereof.

10. The method of claim 1 , wherein:

the alert comprises an audio alert, a visible alert, textual, haptic or any combination thereof.

11. The method of claim 1 , wherein:

the alert comprises information regarding the potential conflict.

12. An apparatus for generating alerts based on patient information, comprising: a processor and a memory storing instructions and in electronic communication with the processor, the instructions executable by the processor to:

identify a location of a patient in a physical environment;

receive an audio signal occurring around a patient during a medical procedure based on the identified location of the patient;

identify unstructured information from the physical environment based on the received audio signal;

perform natural language processing on the unstructured information to produce annotated text;

compare the annotated text to patient medical information to find a potential conflict; and

generate an alert based on the potential conflict.

13. The apparatus of claim 12 , the processor being further configured to execute the instructions to:

convert the audio signal to the unstructured information.

14. The apparatus of claim 12 , the processor being further configured to execute the instructions to:

receive a patient medical record; and

perform natural language processing on the patient medical record to generate a set of risk factors, wherein the patient medical information comprises the set of risk factors.

15. The apparatus of claim 12 , the processor being further configured to execute the instructions to:

identify the patient located in the physical environment; and

retrieve the patient medical information based on the identification of the patient.

16. A non-transitory computer readable medium storing code for generating alerts based on patient information, the code comprising instructions executable by a processor to:

identify a location of a patient in a physical environment;

receive an audio signal occurring around a patient during a medical procedure based on the identified location of the patient

identify unstructured information from the physical environment based on the received audio signal;

produce annotated text by processing the unstructured information using a machine learning model, wherein the unstructured information is provided as an input to the machine learning model and at least a portion of the annotated text comprises an output of the machine learning model;

compare the annotated text to patient medical information to find a potential conflict; and

generate an alert based on the potential conflict.

17. The non-transitory computer readable medium of claim 16 , the code further comprising instructions executable by the processor to:

convert the audio signal to the unstructured information.

18. The non-transitory computer readable medium of claim 16 , the code further comprising instructions executable by the processor to:

apply one or more inference rules to produce additional risk information, wherein the annotated text comprises the additional risk information.

19. The non-transitory computer readable medium of claim 16 , the code further comprising instructions executable by the processor to:

receive a patient medical record; and

perform natural language processing on the patient medical record to generate a set of risk factors, wherein the patient medical information comprises the set of risk factors.

20. The non-transitory computer readable medium of claim 16 , the code further comprising instructions executable by the processor to:

identify the patient located in the physical environment; and

retrieve the patient medical information based on the identification of the patient.