SYSTEM AND METHOD FOR PROVIDING CLINICAL DECISION SUPPORT

• US 20140025393A1
• Filed: 07/16/2013
• Published: 01/23/2014
• Est. Priority Date: 07/17/2012
• Status: Abandoned Application

• Current Assignee: Healthfortis Inc.
• Original Assignee: Healthfortis Inc.
• Inventors: Wang, Kang, Wong, Wilson S., Berdichevsky, Dmitry
• Application Number:
  US13/942,925
• Publication Number:
  US 20140025393A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A clinical decision support system comprises a memory device having a plurality of routines stored therein, a processor configured to execute the plurality of routines stored in the memory device, the plurality of routines comprising a routine configured to receive primary clinical information from a user associated with a patient, a routine configured to derive expanded clinical information from the user-provided primary clinical information, a routine configured to identify relevant rules from a data store based on the user-provided clinical information and the expanded clinical information, a routine configured to compute a diagnostic relevancy score for each of the identified relevant rules; a routine configured to assign by the processing device the computed diagnostic relevancy score to each identified relevant rule, and a routine configured to display each identified rule in ranked order based on the rule'"'"'s assigned diagnostic relevancy score.

Claims

1. An interactive computer assisted method in a clinical computing environment for providing clinical decision support, the method comprising the steps of:

a) receiving from a user, at a processing device, primary clinical information associated with a patient, wherein the primary clinical information includes one or more primary clinical terms;

b) deriving, by the processing device, expanded clinical information from the user-provided primary clinical information, wherein said expanded clinical information includes one or more expanded clinical terms;

c) identifying, by the processing device, one or more relevant rules based on the user-provided primary clinical information and the expanded clinical information,

d) computing, by the processing device, the diagnostic relevancy score for each identified rule, and

e) displaying each identified relevant rule to the user in ranked order based on the rule'"'"'s computed diagnostic relevancy score.

2. The method of claim 1, wherein a rule comprises one or more patient conditions and one or more candidate procedures associated with the one or more patient conditions.

3. The method of claim 1, wherein said expanded clinical information is derived either by inference or by querying one or more internal and/or external data sources.

4. The method of claim 2, wherein for each rule, the diagnostic relevancy score is computed as a sum of partial relevancy scores computed as a function of the user-provided primary clinical information and the derived expanded clinical information.

5. The method of claim 4, wherein computing the partial relevancy scores further comprises:

computing, by the processing device, a first set of partial relevancy scores for the identified rules as a function of said user-provided primary clinical terms that are determined to be relevant to at least one identified patient condition of an identified rule, and

computing, by the processing device, a second set of partial relevancy scores as a function of said expanded clinical term that are determined to be relevant to said at least one identified patient condition of the identified rule,

computing, by the processing device, a further partial relevancy score as a function of the frequency of previous selections of the identified rule under the same set of clinical terms and expanded terms as the received one or more primary clinical terms and the one or more expanded clinical terms, and

summing the first set of partial relevancy scores and the second set of partial relevancy scores and the further partial relevancy score to obtain the diagnostic relevancy score.

6. The method of claim 5, wherein the computation of the first set of partial relevancy scores for an identified rule further comprises:

(a) retrieving a first primary clinical term from among the one or more primary clinical terms previously received as one input to the rules engine,

(b) accessing a mapping file comprising mapping data, wherein said mapping data comprises data associating patient conditions to clinical terms, wherein the patient condition and clinical term association has an associated weight value,

(c) using the primary clinical term as an index to the mapping file to identify a patient condition in the mapping file that is a part of the identified rule,

(d) assigning the weight value associated with the identified patient condition and the first primary clinical term as a first partial relevancy score of the identified rule, and

(e) repeating steps (a)-(d) for the other clinical terms from among the one or more primary clinical terms provided as further inputs to the rules engine.

7. The method of claim 5, wherein the computation of the second set of partial relevancy scores for an identified rule further comprises:

(a) retrieving an expanded clinical term from among the one or more expanded clinical terms previously received as one input to the rules engine,

(b) accessing a mapping file comprising mapping data, wherein said mapping data comprises data associating patient conditions to clinical terms, wherein the patient condition and clinical term association has an associated weight value,

(c) using the expanded clinical term as an index to the mapping file to identify a patient condition in the mapping file that is a part of the identified rule,

(d) assigning the weight value associated with the identified patient condition and the expanded clinical term as a second partial relevancy score of the identified rule, and

(e) repeating steps (a)-(d) for the other clinical term from among the one or more primary clinical terms provided as further inputs to the rules engine.

8. The method of claim 2, wherein a rule may be identified as relevant even if not all of the patient conditions are determined to be relevant to a user provided clinical term or an derived expanded clinical term.

9. The method of claim 1, wherein said step of identifying one or more rules as being relevant at said step (c), further comprises the steps of:

accessing a mapping file comprising mapping data, wherein said mapping data comprises data associating patient conditions to clinical terms,

determining, by a processing device, if one or more of said clinical terms in said mapping file matches one or more of said user-provided primary clinical terms or expanded clinical terms,

selecting the patient conditions from the mapping file associated with matching clinical terms included in the mapping file at said determining step,

accessing a rule set comprising a set of rules, wherein each of said rules in said rule set comprises rules associating one or more patient conditions to one or more candidate procedures,

identifying one or more rules from said rule set that include at least one of the selected patient conditions and

excluding any rules having a patient condition portion that is contradictory with one of the selected patient conditions.

10. The method of claim 1, further comprising the step of:

the user ruling out one or more recommended patient conditions associated with a displayed rule and repeating steps (c) through (e) of claim 1.

11. The method of claim 1, further comprising the act of displaying to the user an appropriateness score for each candidate procedure of an identified relevant rule.

12. The method of claim 10, further comprising:

a user entering a procedure,

comparing, by the processing device, the user-entered procedure with the candidate procedures associated with the previously identified rules to determine if there is a match; and

assigning, by the processing device, the lowest appropriateness score from among the matching candidate procedures from among the previously identified rules.

20. A storage medium storing instructions executable by a digital processor (20) to perform the CDS method set forth in claim 1.

13. A system comprising:

a memory device having a plurality of routines stored therein;

a processor configured to execute the plurality of routines stored in the memory device, the plurality of routines comprising;

a routine configured to, when executed, receive primary clinical information from a user associated with a patient;

a routine configured to, when executed, derive expanded clinical information from the user-provided primary clinical information;

a routine configured to, when executed, identify relevant rules from a data store based on the user-provided clinical information and the expanded clinical information;

a routine configured to, when executed, compute a diagnostic relevancy score for each of the identified relevant rules;

a routine configured to, when executed, assign, by the processing device, the computed diagnostic relevancy score to each identified relevant rule; and

a routine configured to, when executed, display each identified rule in ranked order based on the rule'"'"'s assigned diagnostic relevancy score.

14. The system of claim 13, further comprising, a mapping file configured as a plurality of records mapping patient conditions to clinical terms associated with the patient conditions.

15. The system of claim 13, further comprising, a user interface (UI) component that displays each identified patient condition/procedure candidates based rule in ranked order based on the rule'"'"'s assigned diagnostic relevancy score.

16. The system of claim 13, further comprising, a web service interface configured to receive the user-provided clinical information from an external system.

17. The system of claim 13, further comprising, a rules Loader component configured to receive one or more rule sets provided from one or more rule providers.

18. The system of claim 13, further comprising, an ETL dictionary loader component configured to receive dictionary data such as SNOMED, IC9 and CPT codes from one or more sources.

19. The system of claim 13, further comprising, a rules indexer component configured to receive a mapping file, configured as a plurality of records, where each record maps one or more patient conditions to one or more clinical terms associated with the one or more patient conditions.