names = ['Beverly', 'Samuel', 'Raymond', 'Phillip', 'Andrew', 'Richard', 'Victor', 'Doris', 'Debra', 'Marilyn', 'David',
         'Catherine', 'Lori', 'Roy', 'Maria', 'Carl', 'Helen', 'Juan', 'Lillian', 'Harry', 'William', 'Jeremy', 'Jean',
         'Howard', 'Jack', 'Dorothy', 'Wanda', 'Theresa', 'Todd', 'Karen', 'Benjamin', 'Joyce', 'Martha', 'Lisa',
         'Bobby', 'Michael', 'Margaret', 'Judith', 'Julie', 'Shirley', 'Justin', 'Ashley', 'Frances', 'Kathy', 'Frank',
         'Pamela', 'Cheryl', 'Terry', 'Arthur', 'Edward', 'Jonathan', 'Kelly', 'Louise', 'Carol', 'Michelle', 'Daniel',
         'Rose', 'Kathryn', 'Julia', 'Dennis', 'Mary', 'Chris', 'Tammy', 'Nancy', 'Craig', 'Albert', 'Willie', 'Diana',
         'Carolyn', 'Donald', 'Sandra', 'Billy', 'Kimberly', 'Johnny', 'Sean', 'Roger', 'Bruce', 'Clarence', 'Janet',
         'Amy', 'Diane', 'John', 'Carlos', 'Sara', 'Larry', 'Anne', 'Joe', 'Gary', 'Evelyn', 'Donna', 'Anthony',
         'Irene', 'Patricia', 'Scott', 'Kenneth', 'Teresa', 'Walter', 'Jane', 'Jeffrey']

surnames = ['Watson', 'Sanchez', 'Perry', 'Jones', 'Diaz', 'Turner', 'Davis', 'Simmons', 'Thompson', 'Lopez', 'Wood',
            'Parker', 'Cox', 'Bailey', 'Gonzalez', 'Brooks', 'Washington', 'Coleman', 'Phillips', 'Edwards',
            'Rodriguez', 'Cooper', 'Scott', 'Perez', 'Peterson', 'King', 'Sanders', 'Green', 'Butler', 'Hill', 'Baker',
            'Morris', 'Ward', 'Cook', 'Russell', 'Alexander', 'Lee', 'Collins', 'Jenkins', 'Hughes', 'Evans', 'Powell',
            'Williams', 'Flores', 'Mitchell', 'Thomas', 'James', 'Foster', 'Allen', 'Smith', 'Brown', 'Ross', 'Long',
            'Ramirez', 'Bennett', 'Miller', 'Patterson', 'Taylor', 'Jackson', 'Price', 'Murphy', 'Reed', 'Anderson',
            'Rogers', 'Rivera', 'Gonzales', 'Campbell', 'Young', 'Clark', 'White', 'Roberts', 'Morgan', 'Wright',
            'Bell', 'Lewis', 'Barnes', 'Hall', 'Henderson', 'Carter', 'Walker', 'Garcia', 'Harris', 'Adams', 'Torres',
            'Nelson', 'Griffin', 'Robinson', 'Martinez', 'Johnson', 'Stewart', 'Gray', 'Hernandez', 'Moore', 'Martin',
            'Bryant', 'Kelly', 'Howard', 'Richardson', 'Wilson']

specialization = {
    'doctor': [' Gastroenterology‎', 'General practice‎', 'Medical genetics‎', 'Geriatrics‎', 'Gynaecology‎',
               'Hematology‎', 'Hepatology‎', 'Hospital medicine‎', 'Immunology‎', 'Infectious diseases‎',
               'Intensive care medicine‎', 'Internal medicine‎', 'Mens health‎', 'Military medicine‎', 'Pathology‎',
               'Pediatrics‎', 'Clinical pharmacology‎', 'Podiatry‎', 'Preventive medicine‎', 'Prison healthcare‎',
               'Psychiatry‎', 'Public health‎', 'Pulmonology‎', 'Radiology‎', 'Railway surgery‎',
               'Rehabilitation medicine‎', 'Rheumatology‎'],
    'nurse': ['Infection control nursing', 'Infectious disease nursing', 'Legal nurse consultant',
              'Maternal-child nursing', 'Medical-surgical nursing', 'Military and uniformed services nursing',
              'Neonatal nursing', 'Neurosurgical nursing', 'Nephrology nursing', 'Nurse attorney',
              'Nursing informatics', 'Perioperative nursing', 'Psychiatric nursing', 'Private duty nursing',
              'Public health nursing', 'Renal nursing', 'School nursing', 'Space nursing', 'Sub-acute nursing'],
    'lab_technician': ['Medical/Clinical Lab Technician', 'Cytogenetic Technician', 'Histotechnician',
                       'Pathology Assistant', 'Nuclear Medicine Technician', 'Anesthesia Technician',
                       'Radiation Protection Technician', 'Medical Equipment Repair Technician']
}

room_type = ['ward', 'seek room', 'consulting room', 'emergency room', 'intensive care', 'operating room', 'nursery',
             'day room']

genders = ['male', 'female', 'Other']

blood_type = ['A+', 'A-', 'B+', 'B-', 'O+', 'O-', 'AB+', 'AB-']

countries = ['Russia', 'USA', 'Germany', 'Korea', 'Kuwait', 'Kyrgyzstan', 'Laos', 'Latvia', 'Lebanon', 'Lesotho', 'Liechtenstein', 'Lithuania', 'Luxembourg', 'Egypt', 'Jordan']

street = ['Alder Way', 'Markham Cross', 'Cleveland Crescent', 'Clement Road', 'Windsor Heath', 'Greenway Glen', 'Vicarage Quay', 'Thorpe Celyn', 'Fletcher Boulevard', 'Wallis Fairway']

cities = ['Scottsville', 'Hebron', 'Longview', 'Emerson', 'Ipswich', 'Storms', 'Kalauao', 'Farwell', 'Mitchell', 'Kreutzberg', 'Cimarron']

treatments  = {
    'Hypertension' : ['Diuretics', 'Strict Diet', 'AnticoagulantsAngina', 'Nitroglycerin', 'Brain Aneurysm', 'Clot Busters'],
    'Flu' : ['Pulmonary Rehabilitation', 'Antiviral drugs', 'Emphysema'],
    'Chronic stress' : ['Anxiolytics', 'Dementia', 'Extended Sick Leave', 'Anticonvulsants', 'Major Depression', 'Hemiparesis']
}

analysis_types = ['blood analysis', 'kidney function test', 'lumbar puncture', 'Pap smear']

inventory = ['Abacavir', 'Acyclovir', 'Alendronate', 'Amifostine', 'Aminocaproic Acid', 'Amlodipine']

suppliers = ['Pharmacyclics,', 'Pierre Fabre Pharmaceuticals Inc.', 'Piramal Healthcare', 'Pliva', 'Portola Pharmaceuticals, Inc.', 'Pozen Inc.', 'Prasco Laboratories']