business model for hospital industry by bhavesh,jitendra & bhavsinh
DESCRIPTION
India's Healthcare Industry is growing much faster pace than expected. As per the Rating Agency , this sector is growing 20% year on year that reach to US$ 100 billion by 2015 and US$ 280 by 2020. it means there are great scope for marketers to get into and provide the better services to customers in effective and efficient manner. Here my team trying to display the Business Model which helps the healthcare organisation / management to identify the sources of customer and from there how much data generate while patient take the treatment. this model covered the Data Touch Points , Data Mining and Data Analysis which helps management to take decision. Its a basic Template for any Healthcare Industry to understand the internal & external source of customer data generation , how can we do the data mining and which tools & techniques helps for data analysis to get meaningful insights from database.TRANSCRIPT
TEMPLATE FOR
HEALTH CARE INDUSTRY
MADE BY:BHAVSINH BARADJITENDRA KUMARBHAVESH SINGH CHANDEL
© Bhavsinh, Jitendra, Bhavesh(Qmine.org)
Done By:BHAVSINH BARADPGPBM(ANALYTICS)DIPLOMA IN CHEMICAL
JITENDRA KUMARPGPBM(ANALYTICS)B.Com.
BHAVESH SINGH CHANDELPGPBM(ANALYTICS)B.E.(MECHANICAL)
HEALTHCARE INDUSTRY
Healthcare industry in India has seen a phenomenal growth in the last
decade. The market comprises healthcare organizations (hospitals,
nursing homes, diagnostic centres, dental hospitals, clinics, ayurveda
hospitals, etc.),persons (doctors, dentists, nurses, and other caregivers),
and health insurance providers. Private companies play a greater role
than the public sector in providing healthcare services as this sector is
expected to be financially stronger and well managed. With the growth of
the Indian middle class segment, shift toward private healthcare services
to obtain more value and service is expected
HEALTHCARE INDUSTRYADMISSION
DISCHARGE
CRITICALLY REVIEWING &
UPDATING PATIENTS
MEDICATION RECORDS
MEDICATION REVIEW& REPEAT
PRESCRIBING
SUPPORT FOR ADHERING TO MEDICATION
INTERNALSOURCES
EXTERNALSOURCES
DATA
DATA TOUCH POINTS
INTERNALSOURCES
EXTERNALSOURCES
DATA
DATA TOUCH POINTS
INTERNAL SOURCESRECEPTION
/REGISTRATI
ONDOCTOR/
OPD/EMERGENC
Y
LABORATORY/TESTS
PHARMACIST
BILLING
DISCHARGE
RECEPTION/
REGISTRATION
DOCTOR/OPD/
EMERGENCY
LABORATORY/TESTS
PHARMACIST
BILLING
DISCHARGE
DATA COLLECTED1. UNIQUE PATIENT CODE
2. DATE OF ADMISSION
3. DOB/AGE
4. GENDER
5. OCCUPATION
6. EDUCATION
7. MARITAL STATUS
8. ADDRESS
9. INCOME
10. CONTACT NUMBER
11.RESPONSIBLE PERSON DETAIL
12.REFRENCE
1. CONSULTANT DOCTOR NAME
2. PREVIOUS DIAGNOSE
3. BLOOD GROUP
4. NEW VISITOR/OLD
RECEPTION/
REGISTRATION
DOCTOR/OPD/
EMERGENCY
LABORATORY/TESTS
PHARMACIST
BILLING
DISCHARGE
1. DISEASE
2. TREATMENT
3. PRESCRIPTION
4. HEIGHT/WEIGHT
RECEPTION/
REGISTRATION
DOCTOR/OPD/
EMERGENCY
LABORATORY/TESTS
PHARMACIST
BILLING
DISCHARGE
1. BLOOD GROUP
2. BLOOD PRESSURE/SUGAR LEVEL
3. DISEASE
RECEPTION/
REGISTRATION
DOCTOR/OPD/
EMERGENCY
LABORATORY/TESTS
PHARMACIST
BILLING
DISCHARGE
1. MEDICATION TAKEN
2. MONEY SPENT
3. SPECIFIC GROUP TAKING SPECIFIC MEDICINE
4. MEDICINE TYPE (GENERIC/BRANDED)
RECEPTION/
REGISTRATION
DOCTOR/OPD/
EMERGENCY
LABORATORY/TESTS
PHARMACIST
BILLING
DISCHARGE1. AMOUNT SPENT
2. PAYMENT METHOD
3. FREE /PAID PATIENT
RECEPTION/
REGISTRATION
DOCTOR/OPD/
EMERGENCY
LABORATORY/TESTS
PHARMACIST
BILLING
DISCHARGE
1. NUMBER OF DAYS ADMITTED
2. DISCHARGE DATE
3. DUE DATE OF RE CHECKUP
4. PRESCRIBED DOCTOR
5. TREATMENTS VS EFFECTIVENESS OF DRUG
**DATA CAN ALSO BE COLLECTED USING FEEDBACK FORMS
INTERNALSOURCES
EXTERNALSOURCES
DATA
DATA TOUCH POINTS
EXTERNAL SOURCES
EXTERNALSOURCES
MEDICAL INSURANCE
CAMPAIGNTIE UP’S
EXTERNAL
SOURCES
MEDICAL INSURA
NCE
CAMPAIGN TIE
UP’S
1. Income
2. TYPE OF INSURANCE
3. PERIOD OF INSURANCE
4. MODE OF PAYMENT
5. FREQUENCY OF PAYMENT
6. NATURE OF DISEASE
EXTERNAL
SOURCES
MEDICAL INSURA
NCE
CAMPAIGN TIE
UP’S
1. LOCATION
2. GENDER
3. OCCUPATION
4. EDUCATION
5. TYPE OF DISEASE
6. PRE MEDICAL CHECKUP
EXTERNAL
SOURCES
MEDICAL INSURA
NCE
CAMPAIGN TIE
UP’S
1. TYPE OF COMPANY/INDUSTRY
2. EMPLOYEE DETAILS
3. FAMILY DETAILS
4. WORKING CONDITIONS
5. INCOME
6. PAST MEDICAL HISTORY
CLUSTER PONITS
DATA MINING
INTERNAL SOURCES
RECEPTION/REGISTRATION
GEOGRAPHY WISE
AGE WISE
INCOME WISE
GENDER
CATEGORY WISE
TYPES OF DISEASES
PHARMACIST
GENERIC/BRANDED
SPENT WISE
MEDICINECOURSE DURATION
EXTERNAL SOURCES
MEDICAL INSURANCE
GEOGRAPHY WISE
AGE WISE
INCOME WISE
PERIOD WISE
MODE OF PAYMENT
BASIS OF PLAN
DATA ANALYSIS
TOOLS & TECHNIQUES
QUESTIONS THAT CAN BE ANSWERED1. HOW OFTEN WERE DISCHARGE SUMMARIES RECEIVED(FROM THE
DISCHARGING PROVIDED) IN ENOUGH TIME TO BE USEFUL , LAST 1 YEAR?
2. HOW OFTEN WERE DISCHARGE SUMMARIES INACCURATE OR INCOMPLETE , LAST 1 YEAR?
3. ANY PLANNED FOLLOW UP ARRANGEMENTS?
4. DETAILS OF PRESCRIBED MEDICINE.
5. WHO WILL ANSWER TO THE QUERIES AFTER DISCHARGE OF PATIENT ?
6. WHO WILL RESPONSIBLE CONSULTANT FOR IDVIDUAL PATIENT?
7. WHO CAN RE-AUTHORISE REPEAT PRESCRIBING?
8. WHAT IS THE REQUIRED FUTURE DATES OF REVIEWS?
9. HOW ARE PRODUCTS CURRENTLY USED AND WHAT OTHER PRODUCTS ARE ALSO BEING PRESCRIBED TO TREAT SAME CONDITION?
10. WHAT IS THE TYPICAL DOSES REGIMEN USED?
11.WHICH PATIENT TYPES RECEIVES SPECIFIC TREATMENTS?
12. WHAT IS THE TREATMENT FLOW FOR PARTICULAR THERAPY OR DRUG?
13. WHICH PRODUCTS ARE LOSING AND GAINING PRESCRIPTIONS?
14. IS THERE A SPECIFIC GROUP OF PATIENT?
1. PATIENT DETAILS
2. PRESENT CONDITION
3. CO-MORBIDITIES
4. PRESCRIBED MEDICINES
5. OVER THE COUNTER MEDICINES
6. DOSES
7. FREQUENCY
8. FORMULATION
9. ROUTE OF ADMINISTRATION
10.MEDICINE TO BE DISCONTINUED
11.KNOWN ALLERGIES
12.PREVIOUS DRUG REACTION AND SENSITIVITIES
INSIGHTS
ANALYSIS
TOOLS
SPSS
REXCEL
SQL
TOOLS THAT CAN BE USED
SQL
Source: http://www.databaseanswers.org/data_models/me_and_mommy/me_and_mommy_tutorial.htm
Project done under Guidance of:
Thanks to:
Dr. Nagendra V Chowdary
THANK YOU