PROCESS SIMULATION MODEL DISCOVERY SYSTEM OF OUTPATIENT CONSULTATION AND PROCESS SIMULATION MODEL DISCOVERY METHOD

• US 20150317450A1
• Filed: 04/30/2015
• Published: 11/05/2015
• Est. Priority Date: 04/30/2014
• Status: Abandoned Application

• Current Assignee: Ulsan National Institute of Science and Technology
• Original Assignee: UNIST Academy-Industry Research CorporationUNIST
• Inventors: SONG, Minseok, CHO, Minsu
• Application Number:
  US14/700,215
• Publication Number:
  US 20150317450A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 17/10 Complex mathematical operations function generation by table look-up G06F1/03; evaluation of elementary functions by calculation G06F7/544
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30
• 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 50/50 for simulation or modelling of medical disorders

Abstract

A process simulation model discovery system of outpatient consultation according to one aspect of the present invention, comprising: an event log collection unit which collects an event log data; a data pre-processing unit which removes a duplicate value and an outlier from the log data; a data analyzing unit which derives from a process from the log data and analyzes a working time; and a process simulation modeling unit which generates a process simulation model, wherein the data analyzing unit includes a process derivation module which derives a process corresponding to a work from a log data and a working time analyzing module which derives a working time for a patient from the log data.

Claims

1. A process simulation model discovery system of outpatient consultation, comprising:

an event log collection unit which collects an event log data;

a data pre-processing unit which removes a duplicate value and an outlier from the log data;

a data analyzing unit which derives from a process from the log data and analyzes a working time; and

a process simulation modeling unit which generates a process simulation model,

wherein the data analyzing unit includes a process derivation module which derives a process corresponding to a work from a log data and a working time analyzing module which derives a working time for a patient from the log data.

2. The system of claim 1,

wherein the data pre-processing unit includes a missing value processing module which processes a missing value in which a data is missed, and the missing value processing module generates a missing value by modifying a worker'"'"'s ID to be equal to an ID of department in which the worker is included.

3. The system of claim 1,

wherein the process derivation module connects one log to another log through a movement line and sets up only logs connected with more than a predetermined number of a movement line as a process.

4. The system of claim 1,

wherein the data analyzing unit includes an arrival rate analyzing module which derives an arrival rate (AR) that is a difference between a reservation time and an arrival time, and

the arrival rate analyzing module derives the arrival rate by using the following equation:

AR=π

_rt(e_i)−

π

_a(π

_trace(1)),

Wherein, π

_rt(e_i) is a reservation time, and π

_a(π

_trace(1)) is a working time when a patient who arrives at the hospital firstly performs.

5. The system of claim 1,

wherein a working time analyzing module derives an operation time (OT) for a patient, and the operation time (OT) satisfies the following equation:

OT=π

_et(c_dk)−

π

_et(c_dj),

Wherein, π

_et(c_dk) is the ‘

d’

operation processing time against the ‘

k’

patient, π

_et(c_dj) is the ‘

d’

operation processing time against the ‘

j’

patient, and the ‘

j’

patient is a patient treated just before the ‘

k’

patient.

6. The system of claim 1,

wherein the working time analyzing derives a waiting time (WT) that is a patent'"'"'s waiting time for the treatment, and the waiting time (WT) satisfies the following equation:

WT=π

_et(c_dj)−

π

_et(c_ck),

Wherein, π

_et(c_dj) is the ‘

d’

operation processing time against the ‘

j’

patient, π

_et(c_ck) is the ‘

c’

operation processing time against the ‘

k’

patient, and the ‘

c’

operation is an operation performed to the ‘

k’

patient just before the ‘

d’

operation.

7. A process simulation model discovery method of outpatient consultation, comprising:

event log collecting which collects an event log data;

data pre-processing which removes a duplicate value and an outlier from the log data;

data analyzing which derives from a process from the log data and analyze a working time; and

process simulation modeling which generates a process simulation model,

wherein the data analyzing includes process deriving which derives a process corresponding to a work from a log data and working time analyzing which derives a working time for a patient from the log data.

8. The method of claim 7,

wherein the data pre-processing includes a missing value processing which processes a missing value in which a data is missed, and the missing value processing generates a missing value by modifying a worker'"'"'s ID to be equal to an ID of department in which the worker is included.

9. The method of claim 7,

wherein the process deriving connects one log to another log through a movement line and sets up only logs connected with more than a predetermined number of a movement line as a process.

10. The method of claim 7,

wherein the data analyzing includes an arrival rate analyzing which derives an arrival rate (AR) that is a difference between a reservation time and an arrival time, and

the arrival rate satisfies the following equation:

AR=π

_rt(e_i)−

π

_a(π

_trace(1)),

Wherein, π

_rt(e_i) is a reservation time, and π

_a(π

_trace(1)) a working time when a patient who arrives at the hospital firstly performs.

11. The method of claim 7,

wherein a working time analyzing derives an operation time (OT), and the operation time (OT) satisfies the following equation:

OT=π

_et(c_dk)−

π

_et(c_dj),

Wherein, π

_et(c_dk) is the ‘

d’

operation processing time against the ‘

k’

patient, π

_et(c_dj) is the ‘

d’

operation processing time against the ‘

j’

patient, and the ‘

j’

patient is a patient treated just before the ‘

k’

patient.

12. The method of claim 7,

wherein the working time analyzing derives a waiting time (WT), and the waiting time (WT) satisfies the following equation:

WT=π

_et(c_dj)−

π

_et(c_ck),

Wherein, π

_et(c_dj) is the ‘

d’

operation processing time against the ‘

j’

patient, π

_et(c_ck) is the ‘

c’

operation processing time against the ‘

k’

patient, and the ‘

c’

operation is an operation performed to the ‘

k’

patient just before the ‘

d’

operation.