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Dr. Conrad Ivan Dalton, MD
Aerospace Medicine Physician in The Woodlands, Texas
NPI 1710221742

Conrad Ivan Dalton is an Aerospace Medicine Physician based in The Woodlands, TX and is specialized in Aerospace Medicine. Conrad Ivan Dalton practices in The Woodlands, TX and has the professional credentials of MD. The NPI Number for Conrad Ivan Dalton is 1710221742 and holds a License No. D6998 (Texas).

The current practice location address for Conrad Ivan Dalton is 98 S. Shawnee Ridge Circle, The Woodlands, TX and can be reached out via phone at 281-757-6081 and via fax at 281-681-2772.

Location: 98 S. Shawnee Ridge Circle, The Woodlands, TX, 77382-2555
Profile Details Legacy Identifiers Practice Address Mailing Address Primary Taxonomy
person
Provider Profile Details
NPI Number
1710221742
Provider Name
Conrad Ivan Dalton
Credential
MD
Provider Entity Type
Individual
Gender
Male
Address
98 S. Shawnee Ridge Circle, The Woodlands, TX, 77382-2555
Phone Number
281-757-6081
Fax Number
281-681-2772
Provider Enumeration Date
11/15/2012
Last Update Date
03/09/2024
institution
Provider Business Practice Location Address Details
Address
98 S. Shawnee Ridge Circle
City
The Woodlands
State
Texas
Zip
77382-2555
Phone Number
281-757-6081
Fax Number
281-681-2772
person
Provider Business Mailing Address Details
Address
98 S. Shawnee Ridge Circle
City
The Woodlands
State
Texas
Zip
77382-2555
Phone Number
281-757-6081
Fax Number
281-681-2772
person
Provider's Taxonomy Details 1
Type
Allopathic & Osteopathic Physicians
Classification
Preventive Medicine
Speciality
Aerospace Medicine
Taxonomy
2083A0100X
License No.
D6998 (Texas)
Definition
Aerospace medicine focuses on the clinical care, research, and operational support of the health, safety, and performance of crewmembers and passengers of air and space vehicles, together with the support personnel who assist operation of such vehicles. This population often works and lives in remote, isolated, extreme, or enclosed environments under conditions of physical and psychological stress. Practitioners strive for an optimal human-machine match in occupational settings rich with environmental hazards and engineering countermeasures.
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