Healthcare object recognition, systems and methods
Healthcare object (HCO) discriminator systems and methods are presented. Systems can obtain a digital representation of a scene via a sensor interface. An HCO discriminator platform analyzes the digital representation to discriminate objects within the scene as being associated with a type of HCO or as being unrelated to a type of HCO. Once the HCO recognition platform determines that a type of HCO is relevant, it instantiates an actual HCO. The HCO can be routed to one or more destinations based on routing rules generated from a template or based on the manner in which the objects in the scene were discriminated.
1. A system for routing healthcare objects, the system comprising:
memory configured to store one or more discriminator algorithms and computer-executable instructions;
a destination device including a display;
at least one sensor configured to obtain a digital representation of a scene; and
at least one processor configured to execute the computer-executable instructions to:
receive the digital representation of the scene from the at least one sensor;
derive a set of discriminator characteristics via execution of the one or more discriminator algorithms on the digital representation according to data modalities within the digital representation, the set of discriminator characteristics comprising a vector of discriminator characteristics, the vector of discriminator characteristics comprising multiple vector members, and each vector member corresponding to a different modality of data;
discriminate objects in the scene by recognizing an object as a healthcare object type based on the set of discriminator characteristics;
instantiate a healthcare object from the recognized object according to the healthcare object type;
route the healthcare object to the destination device according to routing rules associated with the healthcare object; and
cause the destination device to enable rendering of a user interface on the display in response to receiving the healthcare object.
2. The system of claim 1 , wherein the user interface is rendered on a cell phone.
3. The system of claim 1 , wherein the user interface is rendered on a browser device.
4. The system of claim 1 , wherein the at least one processor is configured to execute the computer-executable instructions to request additional medically-relevant information via the user interface.
5. The system of claim 1 , wherein instantiating the healthcare object includes provisioning the healthcare object with destination attributes.
6. The system of claim 5 , wherein the destination attributes include the routing rules.
7. The system of claim 5 , wherein the destination attributes comprise at least one destination address.
8. The system of claim 7 , wherein the at least one destination address comprises a document object identifier.
9. The system of claim 1 , wherein the modality of data comprises one of image features, audio features, or OCRed text.
10. The system of claim 1 , wherein the set of discriminator characteristics comprises an N-tuple of characteristics.
11. The system of claim 10 , wherein the N-tuple of characteristics comprises attribute names along with one or more corresponding values.
12. The system of claim 1 , wherein the one or more discriminator algorithms include at least one of SIFT, BRISK, GLOW, SURF, SLAM, vSLAM, a hidden markov model, optical character recognition, a support vector machine, or dynamic time warping.
13. The system of claim 1 , wherein the at least one processor is configured to recognize objects in the scene as non-healthcare objects.
14. The system of claim 1 , wherein instantiating the healthcare object includes populating fields of a healthcare object template.
15. The system of claim 14 , wherein the fields of the healthcare object template include required fields or optional fields.
16. The system of claim 1 , wherein instantiating the healthcare object includes causing a mechanical turk computer system to construct a mechanical turk task.
17. The system of claim 16 , wherein the at least one processor is configured to populate fields of the healthcare object based on information resulting from the mechanical turk task.
18. The system of claim 1 , wherein the at least one processor is configured to encrypt the healthcare object.
19. A non-transitory computer-readable storage medium storing computer-executable instructions which, when executed by at least one processor, cause the processor to perform operations comprising:
receiving, by at least one processor from at least one sensor, a digital representation of a scene;
deriving, by the at least one processor, a set of discriminator characteristics via execution of one or more discriminator algorithms on the digital representation according to data modalities within the digital representation, the set of discriminator characteristics comprises a vector of discriminator characteristic, the vector of discriminator characteristics comprises multiple vector members, and each vector member corresponds to a different modality of data;
discriminating, by the at least one processor, objects in the scene by recognizing an object as a healthcare object type based on the set of discriminator characteristics;
instantiating, by the at least one processor, a healthcare object from the recognized object according to the healthcare object type;
routing, by the at least one processor, the healthcare object to a destination device according to routing rules associated with the healthcare object; and
causing, by the at least one processor, the destination device to enable rendering of a user interface on a display in response to receiving the healthcare object.
20. The non-transitory computer-readable storage medium of claim 19 , wherein the one or more discriminator algorithms include at least one of SIFT, BRISK, GLOW, SURF, SLAM, vSLAM, a hidden markov model, optical character recognition, a support vector machine, or dynamic time warping.