PATIENT CARE SURVEILLANCE SYSTEM AND METHOD

• US 20150025329A1
• Filed: 07/09/2014
• Published: 01/22/2015
• Est. Priority Date: 07/18/2013
• Status: Abandoned Application

• Current Assignee: Parkland Center for Clinical Innovation
• Original Assignee: Parkland Center for Clinical Innovation
• Inventors: Amarasingham, Rubendran, Siva, Vaidyanatha, Shah, Monal, Shah, Anand, Oliver, George, Cherian, Praseetha, Velazquez, Javier, Mayer, Paul III
• Application Number:
  US14/326,863
• Publication Number:
  US 20150025329A1
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/412 Detecting or monitoring sepsis
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/00 ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
• CPC Class Codes: G16H 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

A patient care surveillance system comprises a data store operable to receive and store clinical and non-clinical data associated with at least one patient, a user interface configured to receive user input of current information related to at least one patient, a monitor configured to sense at least one parameter associated with at least one patient, and further configured to generate real-time patient monitor data, a data analysis module configured to access the data store and analyze the clinical and non-clinical data, receive and analyze the current information and real-time patient monitor data, and identify at least one adverse event associated with the care of at least one patient, and a data presentation module operable to present information associated with at least one adverse event to a healthcare professional, the information including contextual information associated with the adverse event.

Claims

1. A patient care surveillance system, comprising:

a data store operable to receive and store clinical and non-clinical data associated with at least one patient;

a user interface configured to receive user input of current information related to the at least one patient;

a monitor configured to sense at least one parameter associated with the at least one patient and further configured to generate real-time patient monitor data;

a data analysis module configured to access the data store and analyze the clinical and non-clinical data, receive and analyze the current information and real-time patient monitor data, and identify at least one adverse event associated with the care of the at least one patient; and

a data presentation module operable to present information associated with the identified at least one adverse event to a healthcare professional.

2. The patient care surveillance system of claim 1, further comprising a data analysis module configured to access the data store and analyze the clinical and non-clinical data, receive and analyze the current information and real-time patient monitor data, and identify at least one disease associated with the at least one patient.

3. The patient care surveillance system of claim 1, further comprising a data analysis module configured to access the data store and analyze the clinical and non-clinical data, receive and analyze the current information and real-time patient monitor data, and identify at least one hospital readmission risk associated with the at least one patient.

4. The patient care surveillance system of claim 1, further comprising a data analysis module configured to access the data store and analyze the clinical and non-clinical data, receive and analyze the current information and real-time patient monitor data, and identify at least one recommended treatment option for the at least one patient.

5. The patient care surveillance system of claim 1, wherein the data analysis module comprises a natural language processing module.

6. The patient care surveillance system of claim 1, wherein the data analysis module comprises a data integration module configured to perform data extraction, cleansing, and manipulation.

7. The patient care surveillance system of claim 1, wherein the data analysis module comprises a predictive model.

8. The patient care surveillance system of claim 1, wherein the data analysis module comprises an artificial intelligence tuning module configured to fine tune the data analysis based on actual observed outcomes compared to predicted outcomes to provide more accurate results.

9. The patient care surveillance system of claim 1, wherein the clinical and non-clinical data are selected from the group consisting of:

past medical history, age, weight, height, race, gender, marital status, education, address, housing status, allergy and adverse medical reactions, family medical information, prior surgical information, emergency room records, medication administration records, culture results, clinical notes and records, gynecological and obstetric information, mental status examination, vaccination records, radiological imaging exams, invasive visualization procedures, psychiatric treatment information, prior histological specimens, laboratory results, genetic information, socio-economic status, type and nature of employment, job history, lifestyle, hospital utilization patterns, addictive substance use, frequency of physician or health system contact, location and frequency of habitation changes, census and demographic data, neighborhood environments, diet, proximity and number of family or care-giving assistants, travel history, social media data, social workers'"'"' notes, pharmaceutical and supplement intake information, focused genotype testing, medical insurance information, exercise information, occupational chemical exposure records, predictive screening health questionnaires, personality tests, census and demographic data, neighborhood environment data, and participation in food, housing, and utilities assistance registries.

10. The patient care surveillance system of claim 1, wherein the user interface is configured to receive user input of a patient'"'"'s symptoms.

11. The patient care surveillance system of claim 1, wherein the monitor comprises a vital signs monitor configured to continually measure the at least one patient'"'"'s vital signs and transmit the vital signs data for analysis by the data analysis module.

12. The patient care surveillance system of claim 1, wherein the monitor comprises at least one presence sensor configured to sense and monitor the presence of the at least one patient.

13. The patient care surveillance system of claim 1, wherein the monitor comprises a plurality of RFID sensors configured to sense the presence of an RFID tag on the at least one patient.

14. The patient care surveillance system of claim 1, wherein the monitor comprises a subcutaneous glucose sensor configured to measure a blood glucose level of the at least one patient.

15. The patient care surveillance system of claim 1, wherein the monitor comprises at least one video camera configured to capture moving images of the at least one patient.

16. The patient care surveillance system of claim 1, wherein the data presentation module is configured to receive user input of parameters specifying an adverse event type, a time window, and unit of interest.

17. The patient care surveillance system of claim 1, wherein the data presentation module is configured to present a graphical representation of relevant data.

18. The patient care surveillance system of claim 1, wherein the data presentation module is configured to present a list view communicating one of:

a list of patients with impending failures on any aspect of the metric under consideration (risk view), and a list of patients who actually failed on any aspect of the metric under consideration (event view).

19. The patient care surveillance system of claim 1, wherein the data presentation module is configured to present a pareto view communicating at least one of the total number and percentage of actual failures on any aspect of the metric under consideration (event view), and the total number of patients who actually failed on any aspect of the metric under consideration (pareto list view).

20. The patient care surveillance system of claim 1, wherein the data presentation module is configured to present a failure view communicating at least one of the metric failure(s) encountered by each patient.

21. The patient care surveillance system of claim 1, wherein the data presentation module is configured to present a tile view communicating at least one of the total number of patients with an impending failure for the specific adverse event under consideration (risk view), and the total number of patients who actually failed for each specific adverse event under consideration (event view).

22. The patient care surveillance system of claim 1, wherein the data store comprises a plurality of databases.

23. The patient care surveillance system of claim 1, wherein the data analysis module is configured to issue a notification, and the data presentation module is configured to transmit the notification to personnel relevant to the care of the at least one patient.

24. The patient care surveillance system of claim 1, wherein the data analysis module is configured to issue a notification, and the data presentation module is configured to transmit the notification in the form of at least one of a page, a text message, a voice message, an email message, a telephone call, and a multimedia message to personnel relevant to the care of the at least one patient.

25. The patient care surveillance system of claim 1, wherein the data analysis module is configured to issue a notification in response to the at least one patient'"'"'s status being inconsistent with an expected status, and the data presentation module is configured to transmit the notification to personnel relevant to the care of the at least one patient.

26. The patient care surveillance system of claim 1, wherein the data analysis module is configured to issue a notification in response to an ordered activity associated with the at least one patient being incomplete within a required time period, and the data presentation module is configured to transmit the notification to personnel relevant to the care of the at least one patient.

27. The patient care surveillance system of claim 1, wherein the data analysis module is configured to issue a notification in response to a monitored location of the at least one patient being inconsistent with an ordered treatment for the patient, and the data presentation module is configured to transmit the notification to personnel relevant to the care of the at least one patient.

28. A patient care surveillance method, comprising:

accessing stored clinical and non-clinical data associated with at least one patient;

receiving user input of current information related to the at least one patient;

sensing at least one parameter associated with the at least one patient, and further generating real-time patient monitor data;

analyzing the clinical and non-clinical data, receiving and analyzing the current information and real-time patient monitor data, and identifying at least one adverse event associated with the care of the at least one patient; and

presenting information associated with identification of at least one adverse event to a healthcare professional.

29. The patient care surveillance method of claim 28, further comprising accessing the data store and analyzing the clinical and non-clinical data, receiving and analyzing the current information and real-time patient monitor data, and identifying at least one disease associated with at least one patient.

30. The patient care surveillance method of claim 28, further comprising accessing the data store and analyzing the clinical and non-clinical data, receiving and analyzing the current information and real-time patient monitor data, and identifying at least one hospital readmission risk associated with the at least one patient.

31. The patient care surveillance method of claim 28, further comprising accessing the data store and analyzing the clinical and non-clinical data, receiving and analyzing the current information and real-time patient monitor data, and identifying at least one recommended treatment option for the at least one patient.

32. The patient care surveillance method of claim 28, further comprising accessing the data store and analyzing the clinical and non-clinical data, receiving and analyzing the current information and real-time patient monitor data, and identifying at least one recommended course of action for the at least one patient.

33. The patient care surveillance method of claim 28, wherein analyzing the data comprises performing natural language processing, data extraction, data cleansing, and data manipulation.

34. The patient care surveillance method of claim 28, wherein analyzing the data comprises fine tuning the data analysis based on actual observed outcomes compared to predicted outcomes to provide more accurate results.

35. The patient care surveillance method of claim 28, wherein receiving and analyzing the clinical and non-clinical data comprises receiving and analyzing data selected from the group consisting of:

past medical history, age, weight, height, race, gender, marital status, education, address, housing status, allergy and adverse medical reactions, family medical information, prior surgical information, emergency room records, medication administration records, culture results, clinical notes and records, gynecological and obstetric information, mental status examination, vaccination records, radiological imaging exams, invasive visualization procedures, psychiatric treatment information, prior histological specimens, laboratory results, genetic information, socio-economic status, type and nature of employment, job history, lifestyle, hospital utilization patterns, addictive substance use, frequency of physician or health system contact, location and frequency of habitation changes, census and demographic data, neighborhood environments, diet, proximity and number of family or care-giving assistants, travel history, social media data, social workers'"'"' notes, pharmaceutical and supplement intake information, focused genotype testing, medical insurance information, exercise information, occupational chemical exposure records, predictive screening health questionnaires, personality tests, census and demographic data, neighborhood environment data, and participation in food, housing, and utilities assistance registries.

36. The patient care surveillance method of claim 28, wherein receiving user input comprises receiving user input of patient'"'"'s symptoms.

37. The patient care surveillance method of claim 28, wherein sensing at least one parameter comprises continually measuring the at least one patient'"'"'s vital signs and transmitting the vital signs data for analysis.

38. The patient care surveillance method of claim 28, wherein sensing at least one parameter comprises sensing and monitoring the presence of the at least one patient.

39. The patient care surveillance method of claim 28, wherein sensing at least one parameter comprises sensing the presence of an RFID tag on the at least one patient.

40. The patient care surveillance method of claim 28, wherein sensing at least one parameter comprises measuring a blood glucose level of at least one patient.

41. The patient care surveillance method of claim 28, wherein sensing at least one parameter comprises capturing still and moving images of at least one patient.

42. The patient care surveillance method of claim 28, wherein presenting information comprises receiving user input of parameters specifying an adverse event type, a time window, and unit of interest.

43. The patient care surveillance method of claim 28, wherein presenting information comprises presenting a graphical representation of relevant data.

44. The patient care surveillance system of claim 28, wherein the data presentation module is configured to present a list view communicating one of:

a list of patients with impending failures on any aspect of the metric under consideration (risk view), and a list of patients who actually failed on any aspect of the metric under consideration (event view).

45. The patient care surveillance system of claim 28, wherein the data presentation module is configured to present a pareto view communicating at least one of the total number and percentage of actual failures on any aspect of the metric under consideration (event view), and the total number of patients who actually failed on any aspect of the metric under consideration (pareto list view).

46. The patient care surveillance system of claim 28, wherein the data presentation module is configured to present a failure view communicating at least one of the metric failure(s) encountered by each patient.

47. The patient care surveillance system of claim 28, wherein the data presentation module is configured to present a tile view communicating at least one of the total number of patients with an impending failure for the specific adverse event under consideration (risk view), and the total number of patients who actually failed for each specific adverse event under consideration (event view).

48. The patient care surveillance method of claim 28, further comprising issuing a notification, and transmitting the notification to personnel relevant to the care of the at least one patient.

49. The patient care surveillance method of claim 28, further comprising issuing a notification, and transmitting the notification in the form of at least a page, a text message, a voice message, an email message, a telephone call, or a multimedia message to personnel relevant to the care of the at least one patient.

50. The patient care surveillance method of claim 28, further comprising issuing a notification in response to at least one patient'"'"'s status is inconsistent with an expected status, and transmitting the notification to personnel relevant to the care of the at least one patient.

51. The patient care surveillance method of claim 28, further comprising issuing a notification in response to an ordered activity associated with the at least one patient being incomplete within a required time period, and transmitting the notification to personnel relevant to the care of the at least one patient.

52. The patient care surveillance method of claim 28, further comprising issuing a notification in response to a monitored location of the at least one patient being inconsistent with an ordered treatment for the patient, and transmitting the notification to personnel relevant to the care of the at least one patient.

53. The patient care surveillance method of claim 28, wherein presenting information comprises presenting contextual information associated with the data.

54. A computer-readable medium having encoded thereon a process for patient care surveillance, the process comprising:

accessing stored clinical and non-clinical data associated with the at least one patient;

receiving user input of current information related to the at least one patient;

sensing at least one parameter associated with at least one patient, and further generating real-time patient monitor data;

analyzing the clinical and non-clinical data, receiving and analyzing the current information and real-time patient monitor data, and identifying at least one course of action associated with the care of the at least one patient; and

presenting information associated with at least one course of action to a healthcare professional.