Healthcare

VARUN SRIRAM

SAMEER DASH

ISHA JAIN

SIDDHI MORJE

DAN ZHOU

Agenda

Importance of data warehouse in hospitals

Multi Valued Dimension

Super type & Sub type

Measure Type Dimension for Sparse Facts

Importance of Data warehouse in Hospitals

Name

Age

Address

Health

Plan

Medical

History

Test

Reports

Blood Report before 2 months

Transaction

Data

Administrativ

e

Data

Clinical

Data

Administrative

Data

Name

Age

Address

Check-in

Checkout

Time

Health

Plan

Bill

Payment

Insurance

Information

Retrieve patient’s all the demographic information

Easy to track bill payments ,regular payer or defaulter

Administrative Data Benefits

Clinical

Data

Test

Reports

Physician

Notes

MedicinesPrescriptions

Medical

History

Retrieve patient’s past medical history

Track progress in patient’s health

Clinical Data Benefits

Advantages of Data ware Housing in

Hospitals ????

Leverage information more effectively, Data is now more

convenient and immediate to access.

Better healthcare services

Best outcomes with impact resource utilization

What is

Multivalued Dimension?

Many-to-Many dimension

Fact table

Time_key

Patient_key

Insurance_key

Location_key

Diagnosis_key

Treatment_key

Billedtoinsurance

Billedtopatient

Time Dimension

Insurance Dimension

Diagnosis Dimension

Patient Dimension

Location Dimension

Treatment Dimension

Many-to-Many dimension

Time_key Patient_ke

y

Insurance_

Key

Diagnosis_

group_key

Treatment

_key

billedtoins

urance

billedtopati

ent

1 P1 I1 D1 T1 100$ 10$

1 P1 I1 D2 T1 100$ 10$

1 P1 I1 D3 T1 100$ 10$

2 P2 I2 D4 T2 200$ 25$

2 P2 I2 D5 T2 200$ 25$

Problems with multivalued dimension

▪ Query complexity

▪ Usability-double counting

Problems with multivalued

dimension

What is the solution ?

No Diagnosis Dimension

Choose primary diagnosis & ignore others

Fixed Number of Diagnosis

Helper Table

Helper table between

Fact table and Diagnosis

Dimension

Helper Table

Diagnosis_Primary_Key

Diagnosis Attribute

Diagnosis_group_key

Diagnosis_key

Weighing_factor

Time_key

Patient_key

Insurance_key

Location_key

Diagnosis_grp_key

Treatment_key

BilledToPatient

BilledToInsurance

Diagnosis

Dimension

Diagnosis Group

Bridge Table

Hospital Invoice

rows Fact table

Tabular Representation

Time_key Patient_ke

y

Insurance_Ke

y

Diagnosis_group_ke

y

Treatment_ke

y

billedtoinsuranc

e

billedtopatient

1/15/16 P1 I1 DG1 T1 100$ 10$

2/15/16 P2 I2 DG2 T2 200$ 25$

Diagnos

is_group

_key

Diagnos

is_Key

Weightage

DG1 D1 1

DG1 D2 2

DG2 D3 1

Diagnosis_Key Description

D1 High Blood pressure

D2 Diabetes

D3 Meningitis

▪ Modeling tool that insists on proper foreign-key-to-primary-key relationships .

Many to many join

Supertype:

An entity type that has got relationship with one or more subtypes and contains attributes that are common to its subtypes

Supertype and Subtype

Subtype:

Entities that have

unique attributes , but

they will be different

from each other.

Party

Organization Party

subtype

Individual Party

subtype

Individual Party

Organization Party

phone

number,

email

address,

street

address,

name

Common

attributes

gender, and

marital status

Accumulating snapshot for hospital stay charges

Two physician roles:

Admitting physician

Attending physician.

Treatment Date Key (FK)

Primary Insurance Billing Date Key (FK)

Secondary Insurance Billing Date Key (FK)

Responsible Party Billing Date Key (FK)

Last Primary Insurance Payment Date Key (FK)

Last Secondary Insurance Payment Date Key (FK)

Last Responsible Party Payment Date Key (FK)

Zero Balance Date Key (FK)

Patient Key (FK)

Admitting Physician Key (FK)

Admitting Physician Organization Key (FK)

Attending Physician Key (FK)

Attending Physician Organization Key (FK)

Procedure Key (FK)

Facility Key (FK)

Admitting Diagnosis Group Key (FK)

Discharge Diagnosis Group Key (FK)

Primary Insurance Organization Key (FK)

Secondary Insurance Organization Key (FK)

Responsible Party Key (FK)

Employer Key (FK)

Example:

▪ A heart transplant operation, whole teams of specialists and assistants are assembled.

A multivalued

bridge table

Fact table:

Primary responsible physician

Other

physicians

and medical

staff

Quiz time

▪ All instances of the subtypes must be an instance of the supertype. True or False?

True

False

Measure Type Dimension for Sparse Facts

Lab Test Result Fact

TestID(PK)

PatientID(FK)

OrderDate(FK)

TestDate(FK)

PhsicianKey(FK)

HBG

WBC

RBC

Na

K

Urea

Bilrubin

Cholestrol

Patient

PatientID(PK)

PatientName

Gender

DOB

Contact

Physician

PhysicianKey(PK)

PhysicianName

Specialization

Contact

Date

OrderDate

TestDate

Contd..

Fact_BloodTest

Test

ID

Patient

ID

Order

Date

Test

Date

Physici

canKey

HGB(g/

dL)

WBC RBC N

a

K Urea Bilrubin Albumin Chole

strol

T01 P01 5/8/15 5/9/15 111 14.1 - - - - - - - 3.7

T02 P02 5/8/15 5/8/15 123 13.0 4.68 4.49 - - - - - -

T03 P01 7/8/15 7/8/15 111 - - - - - 8.1 - - -

T04 P03 7/8/15 8/8/15 143 - - - - 4.2 - - - 3.7

T05 P04 8/8/15 8/8/15 210 - - - - - - 4 48 3.7

T06 P05 8/8/15 9/8/15 100 - 4.49 - - - - - - -

T07 P06 9/8/15 9/8/15 123 14.0 4.78 4.68 - - - - - -

mmol/L*10^9/L

Granularity???

Test

ID

Patient

ID

Order

Date

Test

Date

Physici

canKey

HGB(g/

dL)

WBC RBC N

a

K Urea Bilrubin Albumin Chole

strol

T01 P01 5/8/15 5/9/15 111 14.1 - - - - - - - 3.7

T02 P02 5/8/15 5/8/15 123 13.0 4.68 4.49 - - - - - -

T03 P01 7/8/15 7/8/15 111 - - - - - 8.1 - - -

T04 P03 7/8/15 8/8/15 143 - - - - 4.2 - - - 3.7

T05 P04 8/8/15 8/8/15 210 - - - - - - 4 48 3.7

T06 P05 8/8/15 9/8/15 100 - 4.49 - - - - - - -

T07 P06 9/8/15 9/8/15 123 14.0 4.78 4.68 - - - - - -

Observations

▪ one row per event

▪ Denser Facts (Many Rows)

▪ Not Flexible ( Hard Time while adding new measure)

Sparse Fact ?? Sparse Dimension??

Measurement Type Dimension

Lab Test Result Facts

Order Date Key (FK)

Test Date Key (FK)

Patient Key (FK)

Physican Key (FK)

Lab Test Key (FK)

Lab Test Measurement Type Key (FK)

Observed Test Result Value

Lab Test Measurement Type

Dimension

Lab Test Measurement Type Key (PK)

Lab Test Measurement Type

Description

Lab Test Measurement Type Unit of

Measure

Contd..

Measureme

ntType

Description Unit

1 HGB g/dL

2 WBC *10^9/L

3 RBC *10^9/L

4 Na mmol/L

5 K mmol/L

6 Urea mmol/L

7 Bilrubin mmol/L

8 Albumin mmol/L

9 Cholestrol mmol/L

TestKey Measur

ementT

ype

OrderDa

te

TestDat

e

PtKey PhKey TestRes

ult

T01 1 5/8/15 5/9/15 P01 111 14.1

T01 9 5/8/15 5/9/15 P01 111 3.7

T02 1 5/8/15 5/8/15 P02 123 13.0

T02 2 5/8/15 5/8/15 P02 123 4.68

T02 3 5/8/15 5/8/15 P02 123 4.49

T03 6 7/8/15 7/8/15 P01 111 8.1

Observations

▪ one row per measurement per event

▪ Eliminates Nulls

▪ Flexible

▪ Can add new measurement types simply by adding new rows in the measurement type dimension, not by altering the structure of the fact table.

Granularity??

TestKey Measur

ementT

ype

OrderDa

te

TestDat

e

PtKey PhKey TestRes

ult

T01 1 5/8/15 5/9/15 P01 111 14.1

T01 9 5/8/15 5/9/15 P01 111 3.7

T02 1 5/8/15 5/8/15 P02 123 13.0

T02 2 5/8/15 5/8/15 P02 123 4.68

T02 3 5/8/15 5/8/15 P02 123 4.49

T03 6 7/8/15 7/8/15 P01 111 8.1

Questions?