US6687685B1 — Automated medical decision making utilizing bayes…

Claim 1

Independent Claim 138 words

A method for providing automated medical decision-making comprising: listing differential diagnoses for each of a plurality of conditions; listing the characteristics of each differential diagnosis; establishing a Bayesian Network modeling knowledge pertaining to said conditions, said differential diagnoses, and said characteristics, wherein the presence or absence of at least some of said conditions affects conditional probabilities that a patient under study has at least some of said diagnoses; generating questions to identify said presence or absence of said conditions; presenting said patient under study with a subset of said questions for the purpose of generating responses, wherein said subset is selected dynamically by favoring questions which have a significant statistical impact on said conditional probabilities; inputting said responses to said questions into said Bayesian Network; and calculating a diagnosis for the patient under study utilizing said Bayesian Network.

Claim 2

Independent Claim 138 words

A method for providing automated medical decision-making comprising: listing differential diagnoses for each of a plurality of conditions; listing the characteristics of each differential diagnosis; establishing a Bayesian Network modeling knowledge pertaining to said conditions, said differential diagnoses, and said characteristics, wherein the presence or absence of at least some of said conditions affects conditional probabilities that a patient under study has at least some of said diagnoses; generating questions to identify said presence or absence of said conditions; presenting said patient under study with a subset of said questions for the purpose of generating responses, wherein said subset is selected dynamically by favoring questions which have a significant statistical impact on said conditional probabilities; inputting said responses to said questions into said Bayesian Network; and calculating a diagnosis for the patient under study utilizing said Bayesian Network.

Claim 3

Dependent Claim 29 words

The method for providing automated medical decision-making of claim 1 , wherein said Bayesian Network further comprises a plurality of instantiable nodes for entering evidence into said Bayesian Network.

Claim 4

Dependent Claim 32 words

The method for providing automated medical decision-making of claim 2 , wherein said Bayesian Network further comprises a plurality of fault nodes to which at least some of said evidence is propagated.

Claim 5

Dependent Claim 20 words

The method for providing automated medical decision-making of claim 3 , wherein said Bayesian Network further comprises a utility node.

Claim 6

Dependent Claim 20 words

The method for providing automated medical decision-making of claim 4 , wherein said Bayesian Network further comprises a decision node.

Claim 7

Dependent Claim 23 words

The method for providing automated medical decision-making of claim 5 , wherein said decision node generates a diagnosis for said patient under study.

Claim 8

Dependent Claim 24 words

The method for providing automated medical decision-making of claim 5 , wherein said decision node generates a disposition level for said patient under study.

Claim 9

Dependent Claim 24 words

The method for providing automated medical decision-making of claim 5 , wherein said decision node generates a recommended treatment for said patient under study.

Claim 10

Dependent Claim 23 words

The method for providing automated medical decision-making of claim 5 , wherein said decision node generates a prognosis for said patient under study.

Claim 11

Dependent Claim 20 words

The method for providing automated medical decision-making of claim 5 , wherein said Bayesian Network further comprises an intermediary node.

Claim 12

Dependent Claim 25 words

The method for providing automated medical decision-making of claim 10 , wherein said intermediary node relates to a risk factor associated with a medical diagnosis.

Claim 13

Dependent Claim 27 words

The method for providing automated medical decision-making of claim 10 , wherein said intermediary node is configured to reduce the number of inputs into said fault node.

Claim 14

Dependent Claim 23 words

The method for providing automated medical decision-making of claim 5 , wherein said decision node generates a prognosis for said patient under study.

Claim 15

Dependent Claim 95 words

A computerized system for providing automated medical triage to a patient under study comprising: a server including processing means and memory means, said memory means comprising a Bayesian Network, wherein said Bayesian Network comprises a plurality of instantiable nodes, a plurality of fault nodes, a utility node and a decision node; a remote computer accessible by a patient under study; a network allowing access by said remote computer to said server; a scoring mechanism to adjust said probabilities in said diagnosis node responsive to information input by said patient under study into said remote computer.

Claim 16

Dependent Claim 95 words

A computerized system for providing automated medical triage to a patient under study comprising: a server including processing means and memory means, said memory means comprising a Bayesian Network, wherein said Bayesian Network comprises a plurality of instantiable nodes, a plurality of fault nodes, a utility node and a decision node; a remote computer accessible by a patient under study; a network allowing access by said remote computer to said server; a scoring mechanism to adjust said probabilities in said diagnosis node responsive to information input by said patient under study into said remote computer.

Claim 17

Dependent Claim 47 words

The computerized system for providing automated medical triage of claim 14 , further comprising: medical hardware in direct electrical communication with said remote computer, wherein said medical hardware provides additional information regarding said patient under study, said additional information being transmitted to said server via said network.

Claim 18

Independent Claim 114 words

A method for providing automated medical decision-making comprising: establishing a Bayesian Network comprising: a plurality of instantiable nodes for entering evidence; a plurality of fault nodes in communication with said instantiable nodes for providing results capable of being monitored; a utility node for providing quantitative information to a decision node having states; and said decision node, wherein said decision node calculates a utility value for each of said states; obtaining evidence from a patient-under-study; entering said evidence into selected ones of said instantiable nodes; monitoring said fault nodes for,said results; using said results in said utility node; and outputting a result in said decision node based upon said quantitative information in said utility node.

Claim 19

Independent Claim 114 words

A method for providing automated medical decision-making comprising: establishing a Bayesian Network comprising: a plurality of instantiable nodes for entering evidence; a plurality of fault nodes in communication with said instantiable nodes for providing results capable of being monitored; a utility node for providing quantitative information to a decision node having states; and said decision node, wherein said decision node calculates a utility value for each of said states; obtaining evidence from a patient-under-study; entering said evidence into selected ones of said instantiable nodes; monitoring said fault nodes for,said results; using said results in said utility node; and outputting a result in said decision node based upon said quantitative information in said utility node.

Claim 20

Dependent Claim 23 words

The method for providing automated medical decision-making of claim 16 , wherein said decision node generates a diagnosis for said patient under study.

Claim 21

Dependent Claim 24 words

The method for providing automated medical decision-making of claim 16 , wherein said decision node generates a disposition level for said patient under study.

Claim 22

Dependent Claim 24 words

The method for providing automated medical decision-making of claim 16 , wherein said decision node generates a recommended treatment for said patient under study.

Claim 23

Dependent Claim 20 words

The method for providing automated medical decision-making of claim 16 , wherein said Bayesian Network further comprises an intermediary node.

Claim 24

Dependent Claim 25 words

The method for providing automated medical decision-making of claim 20 , wherein said intermediary node relates to a risk factor associated with a medical diagnosis.

Claim 25

Dependent Claim 27 words

The method for providing automated medical decision-making of claim 20 , wherein said intermediary node is configured to reduce the number of inputs into said fault node.

Claim 26

Dependent Claim 32 words

The method for providing automated medical decision-making of claim 16 , wherein said step of establishing a Bayesian Network further comprises identifying a syndrome and configuring probability tables to recognize said syndrome.

Annuity Stage	Window Opens	Payment Deadline	Surcharge Period Until	Estimated Fee	Status
3.5 Years (Year 4)	2007-02-02	2007-08-04	2008-02-03	$2000.00	Window Closed / Lapsed
7.5 Years (Year 8)	2011-02-02	2011-08-04	2012-02-03	$3760.00	Window Closed / Lapsed
11.5 Years (Year 12)	2015-02-02	2015-08-04	2016-02-03	$7700.00	Window Closed / Lapsed

Automated medical decision making utilizing bayesian network knowledge domain modeling

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