System and user interface for use in providing medical information and health care delivery support

• US 6,551,243 B2
• Filed: 07/05/2001
• Issued: 04/22/2003
• Est. Priority Date: 01/24/2001
• Status: Active Grant

• Current Assignee: Siemens Medical Solutions USA Incorporated (Siemens AG)
• Original Assignee: Siemens Medical Solutions Health Services Corporation (Siemens AG)
• Inventors: Bocionek, Siegfried, Hanslik, Margo, Russwurm, Siegfried
• Primary Examiner(s): Winakur, Eric F.
• Assistant Examiner(s): McCrosky, David J.
• Application Number:
  US09/899,798
• Publication Number:
  US 20020099273A1
• Time in Patent Office: 656 Days
• Field of Search: 600/300, 600/301, 705/2, 705/3, 128/903, 128/904, 128/920-925
• US Class Current: 600/300
• CPC Class Codes: A61B 5/0013 Medical image data A61B1/00011, A61B6/56, A61B8/56 take precedence
• CPC Class Codes: A61B 5/411 Detecting or monitoring allergy or intolerance reactions to an allergenic agent or substance
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• 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 70/40 relating to drugs, e.g. their side effects or intended usage
• CPC Class Codes: Y10S 128/923 by comparison of patient data to other data

Abstract

A medical information system processes information from multiple sources suitable for access by healthcare personnel for use in clinical (e.g., critical) care delivery. The system includes a communication interface for receiving information from patient monitoring devices and for bidirectionally communicating with a hospital information database containing patient records. The system also includes a data processor using the communication interface for acquiring patient record information from the hospital information database and for acquiring information from patient monitoring devices. The data processor updates the acquired patient record information based on the acquired information from the patient monitoring devices and communicates updated patient record information to the hospital information database, A display processor initiates display of the updated patient record information to a user. The data processor may also include a data analysis unit for analyzing stored patient parameters by correlating stored parameters, patient record information, corresponding medical outcomes and medication database information to identify alternative medication options and improve decision processing. The data processor combines acquired medical parameter information and an acquired patient medical image to provide a composite image for display and storage.

Claims

1. A medical information system for processing information from a plurality of sources suitable for use in critical clinical care delivery, comprising:

a communication interface for receiving medical parameters from patient monitoring devices attached to a particular patient and for bidirectionally communicating with a hospital information database containing patient records;

a data processor using said communication interface for acquiring patient record information for said particular patient from said hospital information database and for collating and storing received medical parameters for said particular patient from monitoring devices; and

a decision processor supporting making of a treatment decision concerning a patient medical condition by suggesting at least one treatment based on passively acquired medical parameters received from said monitoring devices independently of patient interaction and processed by said decision processor to support treatment decision making concurrently with patient monitoring and using a treatment information database.

2. A system according to claim 1, wherein

said medical parameters are received and processed in substantially real-time, and

said passively acquired medical parameters received from said monitoring devices independently of patient interaction comprise medical parameters acquired without said particular patient being required to interactively respond to questions and including

an output processor for communicating said suggested treatment for presentation to support physical application of said treatment to said patient by a healthcare worker.

3. A system according to claim 1, wherein

said medical parameters are received substantially in real-time and comprise parameters indicative of vital signs sampled at intervals of less than 10 minutes to be suitable to support interventional critical care decision making in at least one of, (a) an Intensive Care Unit (ICU), (b) an Operating Room (OR) and (c) an Emergency Room (ER).

4. A system according to claim 1, wherein

said treatment information database includes historical treatment and outcome data for a plurality of patients and

said decision processor suggests a treatment based on at least one of, (a) a received patient parameter exceeding a predetermined threshold value and (b) a received patient parameter being outside a value range determined by upper and lower predetermined threshold values and an individual predetermined threshold value is derived from processing historical data comprising a plurality of threshold values associated with treatment provided to a corresponding plurality of different patients and contained in said treatment information database.

5.A system according to claim 4, wherein said medical information system includes

a data analyzer for intermittently parsing and analyzing stored collated medical parameters from a plurality of patients in said treatment information database to identify an improved threshold value based on previous treatment outcomes and to adaptively update said threshold value to said improved threshold value.

5. A system according to claim 1, including

an update processor for initiating updating of said patient record information to record a determined treatment.

6. A system according to claim 1, wherein

said decision processor identifies a complication involved in using a particular treatment for said patient.

7. A medical information system for processing information from a plurality of sources suitable for use in critical clinical care delivery, comprising:

a communication interface for receiving medical parameters from patient monitoring devices and for receiving information from a treatment information database and for bidirectionally communicating with a hospital information database containing patient records;

a data processor using said communication interface for acquiring patient record information for a particular patient from said hospital information database; and

a decision processor supporting making of a treatment decision concerning a patient medical condition by suggesting at least one treatment based on,

passively acquired medical parameters received from said monitoring devices independently of patient interaction and processed by said decision processor in substantially real-time to support treatment decision making concurrently with patient monitoring and

said acquired particular patient record information and

information from said treatment information database.

8. A system according to claim 8, including

a repository of accumulated utilization data determining usage rates of at least one of, (a) medical goods and (b) medical services in treatment of different medical conditions for a plurality of patients and

a data analyzer for analyzing said utilization data to identify a cost threshold representative of an expected cost limit and for using said threshold in identifying a treatment case exceeding said expected cost limit.

9. A system according to claim 8, wherein

said medical parameters comprise parameters indicative of vital signs sampled at intervals of less than 10 minutes to be suitable to support critical care decision making in at least one of, (a) an emergency room, (b) an intensive care unit, (c) an operating room and (d) another clinical care delivery setting.

10. A system according to claim 8, including

a workflow processor for identifying task sequences to be performed in critical care treatment in response to a received command and

said decision processor is responsive to a command from said workflow processor in supporting treatment decision making concerning a patient medical condition.

11. A system according to claim 8, including

a workflow processor for generating task sequences to be performed in critical care treatment, said task sequences being generated in response to incorporate identified improvement derived from statistical analysis of treatment and associated outcome data in said treatment information database.

12. A system according to claim 8, including

an update processor for initiating updating of said patient record information to record a determined treatment.

13. A medical information system for processing information from a plurality of sources suitable for use in critical clinical care delivery, comprising:

a communication interface for receiving medical parameters from patient monitoring devices attached to a patient and for bidirectionally communicating with a hospital information database containing patient records;

a data processor using said communication interface for acquiring patient record information from said hospital information database and for collating and storing received patient medical parameters from monitoring devices; and

a data analysis unit for identifying alternative treatment options, by comparing acquired medical parameters received from said monitoring devices with a metric derived by correlating historical data comprising stored parameters and corresponding medical outcomes, said medical parameters being acquired independently of patient interaction and processed by said data analysis unit to support identification of alternative treatment options concurrently with patient monitoring.

14. A system according to claim 14, wherein

said data analysis unit includes a data mining unit for analyzing stored patient parameters by searching for patterns in stored patient parameters and corresponding medical outcomes to identify statistically significant data correlation.

15. A system according to claim 14, wherein

said data analysis unit identifies alternative treatment options using information acquired from a plurality of sources by a data aggregation unit, said data aggregation unit acquiring information from said plurality of sources using standard medical terminology and medical code sets.

17. A system according to claim 14, including

a repository of accumulated utilization data determining usage rates of at least one of, (a) medical goods and (b) medical services in treatment of different medical conditions for a plurality of patients and

a data resource analyzer for analyzing said utilization data to identify a cost threshold representative of an expected cost limit and for using said threshold in identifying a treatment case exceeding said expected cost limit.

18. A system according to claim 14, including

a workflow processor for identifying task sequences to be performed in critical care treatment in response to a received command and

said data analysis unit is responsive to a command from said workflow processor in supporting alternative treatment identification.

16. A system according to claim 16, wherein

said data aggregation unit includes a map associating medical codes of a first code set with corresponding codes of a different second code set for use in associating information elements from different sources.

19. A method for use by a medical information system for processing information from a plurality of sources for use in critical clinical care delivery, comprising the steps of:

receiving medical parameters from patient monitoring devices attached to a particular patient;

bidirectionally communicating with a hospital information database containing patient records;

collating and storing received medical parameters for said particular patient from monitoring devices; and

supporting making of a treatment decision concerning a patient medical condition by suggesting at least one treatment, concurrently with patient monitoring, and based on passively acquired medical parameters received from said monitoring devices independently of patient interaction.

20. A method for use by a medical information system for processing information from a plurality of sources suitable for use in critical clinical care delivery, comprising the steps of:

receiving medical parameters from patient monitoring devices and information from a treatment information database;

bidirectionally communicating with a hospital information database containing patient records to acquire patient record information for a particular patient; and

supporting making of a treatment decision concerning a patient medical condition concurrently with patient monitoring by suggesting at least one treatment based on,

passively acquired medical parameters received from said monitoring devices in substantially real-time and independently of patient interaction and

said acquired particular patient record information and

information from said treatment information database.

21. A method for use by a medical information system for processing information from a plurality of sources suitable for use in critical clinical care delivery, comprising the steps of:

receiving medical parameters from patient monitoring devices attached to a patient, bidirectionally communicating with a hospital information database containing patient records;

acquiring patient record information from said hospital information database;

collating and storing received patient medical parameters from monitoring devices;

deriving a metric by correlating historical data comprising stored parameters and corresponding medical outcomes; and

identifying alternative treatment options by comparing acquired medical parameters received from said monitoring devices with said metric, said medical parameters being acquired independently of patient interaction to support identification of alternative treatment options concurrently with patient monitoring.