FEB 5
2024
PASS · 0 violations
ACCENT FOOD SERVICES-THE PRESBYTERIAN DALLAS.
City of Dallas
8200 WALNUT HILL LN # H12075 · LAKE HIGHLANDS, DALLAS
Last inspected 2024.
7 inspections on record since 2017 · Last inspected Feb 2024.
Last inspected Feb 2024. Records may not reflect current conditions.
THE NUMBERS
INSPECTIONS
7
VIOLATIONS
16
total on record
LAST INSPECTED
FEB 2024
INSPECTION HISTORY
JAN 17
2022
PASS · 0 violations
JAN 10
2020
PASS 1 violation
*10 Clean Sight and Touch
clean top surface of microwave
OCT 29
2018
PASS 4 violations
*10 Clean Sight and Touch
clean microwave
*42 Dirty nonfood contact surfaces
clean coolers inside
*32 Approved Food Contact Equip.
provide plastic basket not wicker
*47 Conditions of Permit-in use of food equipment
provide sign about inspection reports
APR 19
2018
PASS 5 violations
*29 Mechanical holding unit, thermometer location
provide thermometers in soda coolers
*27Self-Service Food Market
provide self closing device on freezer
*42 Dirty nonfood contact surfaces
clean coolers inside
*32 Approved Food Contact Equip.
use approved food contact surfaces-no wicker baskets allowed
*47 Conditions of Permit-in use of food equipment
provide a sign about inspection report
show all 7 inspections →
NOV 17
2017
PASS 5 violations
*21 A establishment shall have written procedures for employees to follow when responding to vomitin
provide written procedures
*29 Mechanical holding unit, thermometer location
provide thermometer in cooler
*30 Does Establishment have a current valid permit posted?
provide duplicate health permit
*47 Conditions of Permit-in use of food equipment
provide a sign for inspection report
*42 Dirty nonfood contact surfaces
clean coolers
JAN 19
2017
PASS 1 violation
*47 Conditions of Permit-in use of food equipment
have permit posted or a sign informing customers they can view report
Public inspection records from City of Dallas Code Compliance — Consumer Health Division. Records current as of 2026-07-12. EatOrBeat reports records and does not rate restaurants. Source dataset →
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