METHOD OF COLLABORATIVE EVALUATION INFRASTRUCTURE TO ASSESS THE QUALITY OF HEALTHCARE CLNICAL DECISION ACTORS

• US 20090307006A1
• Filed: 06/04/2008
• Published: 12/10/2009
• Est. Priority Date: 06/04/2008
• Status: Abandoned Application

• Current Assignee: Institute For Information Technology Advancement, International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Sow, Daby Mousse, Park, Se Hun, Kim, Andrew Kyu Hyun, Kim, Ji Hyun, Wang, Min, Davis, John Sidney II, Tak, Young Ju
• Application Number:
  US12/132,867
• Publication Number:
  US 20090307006A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G06Q 10/00 Administration; Management
• 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

Abstract

A voting system employing individual healthcare actors is described wherein votes representing the relation between target measurements and actual measurements are aggregated and used to determine treatment of patients.

Claims

1. A method for assessing individual healthcare decision actors using positive and negative votes associated with same to create a rating associated with a particular healthcare decision actor which rating is used in determining treatment for a human patient, which comprises:

(a) providing a database accessible by computer;

(b) providing to said database the following healthcare decision actors;

(i) a target profile for a medical device, wherein said medical device is used to measure a quantifiable physical aspect of a human body, and wherein said target profile for said medical device includes tolerance limits for the accuracy of the quantifiable physical aspect being measured by said medical device; and

(ii) a target profile for a medication, wherein said medication has an expected quantifiable effect on a human patient, and wherein said target profile for said medication includes said expected quantifiable effect; and

(c) generating a vote for each healthcare decision actor as follows;

(i) measuring the physical aspect of the human body in a first human patient using the medical device of (b)(i); and

generating a positive vote if the value measured for said physical aspect is within said tolerance limits of said device, and generating a negative vote if the value measured for said physical aspect is beyond said tolerance limits; and

(ii) ascertaining the actual effect of said medication of (b)(ii) on said first human patient after said medication has been administered; and

generating a positive vote if the actual effect coincides with the expected effect, and generating a negative vote if the actual effect does not coincide with the expected effect; and

(d) providing at least one factor from a medical profile of said first patient to said database, said medical profile optionally including the first patient'"'"'s family medical history;

(e) transmitting the votes generated in (c)(i) and (c)(ii) to said database, wherein said votes are individually indexed for future reference;

(f) repeating steps (c), (d) and (e) for a multiplicity of patients, and compiling the votes for said multiplicity of patients in said database;

(g) forming an aggregate device score associated with said medical device, comprised of the average of the votes corresponding to (c)(i) from said multiplicity of patients, and storing and indexing said aggregate device score in said database; and

forming an aggregate medication score associated with said medication, comprised of the average of the votes corresponding to (c)(ii) from said multiplicity of patients, and storing and indexing said aggregate medication score in said database

(h) accessing said database to retrieve the individual votes from step (d) or to access the aggregated device score or the aggregated medication score of step (f); and

(i) utilizing at least one of the votes or scores of step 0h) in determining the treatment of a second human patient having in common the at least one factor provided in step (d).

2. The method of claim 1 wherein said negative vote is demoninated by a zero, and said positive vote is denominated by the number one.