PROFESSIONAL NETWORKING PLATFORM WITH RANKED PATIENT INFORMATION DELIVERY

• US 20140058753A1
• Filed: 08/22/2013
• Published: 02/27/2014
• Est. Priority Date: 08/22/2012
• Status: Abandoned Application

• Current Assignee: David Wild
• Original Assignee: David Wild
• Inventors: WILD, David
• Application Number:
  US13/973,505
• Publication Number:
  US 20140058753A1
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G16H 80/00 ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

Provided are a method, system, means for, and processor-readable non-transitory medium incorporating instructions that provide a social network platform, particularly for members in a professional field. Patient data is received from an electronic patient data source. Target patient information associated with a first patient is identified, when the first target patient information corresponds to the at least one evaluation criterion, and the first patient is assigned a first priority ranking, according to the at least one evaluation criterion. According to the assigned first priority ranking, information regarding the first patient is displayed to the members of the social network more prominently than information regarding other patients of the plurality of patients. Weighting of the target information according to the evaluation criterion may be performed. The first priority ranking may correspond to acuity of a health condition of the first patient.

Claims

1. A processor-readable non-transitory medium incorporating instructions configured to provide, when executed by a data processor, a social network platform that is accessible, over a computer network, by members of a social network, the instructions comprising:

an evaluation criterion storage module configured to store and to retrieve at least one evaluation criterion;

a patient data reception module comprising instructions configured to receive, from an electronic patient data source, patient data regarding a plurality of patients;

an information ranking engine comprising instructions configured to identify, in the patient data, first target patient information associated with a first patient, when the first target patient information corresponds to the at least one evaluation criterion, and to assign a first priority ranking, according to the at least one evaluation criterion, to the first patient of the plurality of patients;

a network member updater comprising instructions configured to provide, according to the assigned first priority ranking, information regarding the plurality of patients such that information regarding the first patient is displayed to the members of the social network more prominently than information regarding other patients of the plurality of patients.

2. The processor-readable non-transitory medium of claim 1, wherein the patient data source is a data feed from an electronic medical records system of a medical facility.

3. The processor-readable non-transitory medium of claim 1, wherein the information regarding the first patient is displayed at a position higher on a display of the members of the social network than information regarding the other patients of the plurality of patients.

4. The processor-readable non-transitory medium of claim 1, wherein the information regarding the first patient is displayed using at least one a font, a character style, an underlining, a bolding, and a color different from that of the other patients of the plurality of patients.

5. The processor-readable non-transitory medium of claim 1, wherein the at least one evaluation criterion comprises at least two criteria, and the first priority ranking corresponds to an acuity of a health condition of the first patient.

6. The processor-readable non-transitory medium of claim 1, wherein the information regarding the first patient is displayed such that a findings field of the patient data is displayed more prominently than any other medical patient data for the first patient,

wherein the findings field comprises conclusions, findings, impressions or recommendations of a health care professional based on an analysis by the health care professional of medical information regarding the first patient.

7. The processor-readable non-transitory medium of claim 1, wherein the information ranking engine comprising instructions configured:

to identify in the patient data second target patient information corresponding to the at least one evaluation criterion; and

to assign a second priority ranking, according to the at least one evaluation criterion, to a second patient of the plurality of patients, when the target patient information is associated with the second patient,

wherein the network member updater provides information to the members of the social network such that, when the first priority ranking is higher than the second priority ranking, the information regarding the first patient is displayed more prominently than information regarding the second patient, and, when the second priority ranking is higher than the first priority ranking, the information regarding the second patient is displayed more prominently than the information regarding the first patient, and

wherein the information regarding the first and second patients is displayed more prominently than information regarding the other patients of the plurality of patients.

8. The processor-readable non-transitory medium of claim 1, further comprising:

filter instructions comprising instructions configured to receive from a first member of the social network a filter selection designating a new content filter to be applied to the patient data regarding the plurality of patients, and to identify, as a subset of patients of the plurality of patients, patients who have information received within a previously specified period of time by the patient data reception module,

wherein the network member updater provides information to the members only for the subset of patients.

9. The processor-readable non-transitory medium of claim 1, further comprising:

filter instructions comprising instructions configured to receive from a first member of the social network a filter selection designating a status filter to be applied to the patient data regarding the plurality of patients, and to identify, as a subset of patients of the plurality of patients, patients who have patient information indicating a change in medical status received by the patient data reception module,

wherein the network member updater provides patient information to the members only for the subset of patients.

10. The processor-readable non-transitory medium of claim 1, further comprising:

filter instructions comprising instructions configured to receive from a first member of the social network a filter selection designating a laboratory filter to be applied to the patient data regarding the plurality of patients, and to identify, as a subset of patients of the plurality of patients, patients who have patient information indicating a laboratory report received by the patient data reception module,

wherein the network member updater provides patient information to the members only for the subset of patients.

11. The processor-readable non-transitory medium of claim 1, further comprising:

filter instructions comprising instructions configured to receive from a first member of the social network a filter selection designating an imaging filter to be applied to the patient data regarding the plurality of patients, and to identify, as a subset of patients of the plurality of patients, patients who have patient information indicating a report describing medical imaging received by the patient data reception module,

wherein the network member updater provides patient information to the members only for the subset of patients.

12. The processor-readable non-transitory medium of claim 1, further comprising:

filter instructions comprising instructions configured to receive from a first member of the social network a filter selection designating a location filter to be applied to the patient data regarding the plurality of patients, and to identify, as a subset of patients of the plurality of patients, patients who are associated with a location of a medical facility,

wherein the network member updater provides information to the members only for the subset of patients.

13. The processor-readable non-transitory medium of claim 12, wherein the location is at least one of a floor, a wing or a unit of the medical facility.

14. The processor-readable non-transitory medium of claim 12, wherein the information ranking engine comprising instructions configured:

to identify in the patient data second target patient information corresponding to the at least one evaluation criterion; and

to assign a second priority ranking, according to the at least one evaluation criterion, to a second patient of the plurality of patients, when the target patient information is associated with the second patient,

wherein the network member updater provides information to the members of the social network such that, when the first priority ranking is higher than the second priority ranking, the information regarding the first patient is displayed less prominently than information regarding the second patient, and, when the second priority ranking is higher than the first priority ranking, the information regarding the second patient is displayed less prominently than the information regarding the first patient.

15. The processor-readable non-transitory medium of claim 1, further comprising:

filter instructions comprising instructions configured to receive from a first member of the social network a filter selection designating a past patient filter to be applied to the patient data regarding the plurality of patients, and to identify, as a subset of patients of the plurality of patients, patients for whom the first member had previously provided care and to whom the first member is not currently assigned,

wherein the network member updater provides information to the members only for the subset of patients.

16. The processor-readable non-transitory medium of claim 1, wherein the instructions further comprise social network database instructions,

wherein the members are represented as nodes, and the database uses a graph data model architecture for relating nodes to each other.

17. The processor-readable non-transitory medium of claim 1, wherein the information ranking engine is configured identify, in the first patient target information, a first numeric value associated with the at least one evaluation criterion, and

to assign the priority ranking by first assigning a first weight to the first numeric value.

18. The processor-readable non-transitory medium of claim 17, wherein the at least one information criterion comprises a first evaluation criterion and a second evaluation criterion different from the first evaluation criterion, and

the information ranking engine is configured to identify, in a second patient target information associated with the first patient, a second numeric value associated with the second evaluation criterion,

to assign a second weight to the second numeric value, and

to assign the priority ranking according to a sum of the first numeric value multiplied by the first weight and a second numeric value multiplied by the second weight.

19. The processor-readable non-transitory medium of claim 1, wherein the at least one evaluation criterion comprises at least one of a time since admission, a patient age, a number of prescribed medications, a number of exams within a previously specified previous period, a number of diagnosed medical conditions, and a number of care giver queries of patient status within a previously specified previous period.

20. The processor-readable non-transitory medium of claim 1, further comprising:

a professional field storage module configured to store and to retrieve a professional field of members,

wherein the information updater provides the patient information regarding the plurality of patients only to a subset of the members of the social network whose professional field is relevant a medical status of the patient.

21. The processor-readable non-transitory medium of claim 1, further comprising:

a professional field storage module configured to store and to retrieve a professional field associated with each member, each professional field associated with a plurality of medical condition fields, each medical condition field comprising a medical field relevance value,

wherein the information ranking engine further comprises instructions configured to identify medical condition data for the first patient, and to assign, according to the medical field relevance value, a professional field ranking to each member for the first patient of the plurality of patients, and

wherein the network member updater further comprises instructions configured to provide, according to the professional field ranking, information regarding the first patient more prominently than information regarding other patients of the plurality of patients for members with a high professional field ranking.

22. The processor-readable non-transitory medium of claim 1, wherein the patient data source is a data feed from a records system compliant with HL 7.

23. A method of providing a social network platform by a data processor, the platform being accessible, over a computer network, by members of a social network, the method comprising:

storing a first evaluation criterion and a second evaluation criterion different from the first evaluation criterion;

receiving automatically, from an electronic medical records system, patient data regarding a plurality of patients;

identifying automatically, in the patient data, by the data processor, first target patient information associated with a first patient and corresponding to the first evaluation criterion, including a first numeric value associated with the first evaluation criterion, and assigning a first weight to the first numeric value, for a first patient of the plurality of patients;

identifying automatically, in the patient data, second target patient information associated with a second patient and corresponding to the second evaluation criterion, including a second numeric value associated with the second evaluation criterion, and assigning a second weight to the second numeric value, for the first patient;

assigning automatically, by the data processor, a first priority ranking according to a sum of the first numeric value multiplied by the first weight and a second numeric value multiplied by the second weight; and

transmitting automatically, by the data processor, according to the assigned first priority ranking, information regarding the plurality of patients such that information regarding the first patient is displayed to the members of the social network more prominently than information regarding other patients of the plurality of patients.

24. The method of claim 23, wherein the first and second evaluation criteria each comprises at least one of a time since admission, a patient age, a number of prescribed medications, a number of exams within a previously specified previous period, a number of diagnosed medical conditions, and a number of care giver queries of patient status within a previously specified previous period.

25. The method of claim 23, wherein the method further comprises:

selecting automatically, as followers of the first patient, a subset of the members comprising fewer than all members,

wherein the followers comprise care givers who have at least one of ordered a test for the first patient, ordered a laboratory analysis for the first patient, ordered medical imaging for the first patient, and prescribed a medication for the first patient,

wherein the transmitting of the patient information for the first patient is performed only to the followers of the first patient.

26. The method of claim 25, wherein the method further comprises:

receiving a follow patient instruction from a first member; and

automatically adding the first member, as a follower of the first patient, responsive to the follow patient instruction received.

27. A method of providing, by a data processor, a platform for ranking each location of a plurality of locations, a current patient being associated with each location, the platform being accessible, over a computer network, by members, the method comprising:

receiving for each location, from an electronic data source, data regarding a status of the patient associated with the respective location, the patient status information indicating steps necessary before patient discharge;

ranking each location, based on the patient status information, according to a number of the steps, such when the patient status information shows fewer steps, the respective location received a higher ranking; and

transmitting the data for each location in an order according to the ranking, such that a location with a higher ranking is displayed more prominently than other locations.

28. The method of claim 27, wherein each location is a bed in a medical facility.