
The series follows the life of anti-social, pain killer addict, witty and arrogant medical doctor Gregory House with only half a muscle in his right leg. He and his team of medical doctors try to cure very ill ordinary people in the United States of America.
Amber MatthewsNurse (2 episodes, 2004)
David MorseMichael Tritter (6 episodes, 2006-2007)
Sela WardStacy Warner (9 episodes, 2005-2006)
Chi McBrideEdward Vogler (5 episodes, 2005)
Tyler PattonNeurosurgeon (2 episodes, 2007-2008)The show takes place in the Mercer County area of New Jersey. In the opening credits, there are shots of various locations around the area of Princeton, Trenton, West Windsor, and Plainsboro, including Princeton University. The hospital, Princeton-Plainsboro Teaching Hospital, is based on a real hospital in Princeton, Princeton Hospital, the University Medical Center at Princeton. An Executive Producer and the director of the pilot episode, Bryan Singer, is from the area, and attended West Windsor-Plainsboro High School.
Dr. Gregory House:
Trouble in paradise. 2 o'clock.
Dr. Wilson:
Wait, your 2 o'clock or my 2 o'clock?
Dr. Gregory House:
Over there!
Factual errors: When Dr. Taub examines a patient's eyes with a direct ophthalmoscope, he correctly examines the patient's right eye with his own right eye, holding the ophthalmoscope in his right hand. But when he moves to examine her left eye, he continues to hold the ophthalmoscope in his right hand, and uses his right eye to examine the patient's left eye. In this position, it is impossible to get close enough to actually see the patient's retina, unless he gets so close that he would actually be kissing the patient, a practice frowned upon by most medical establishments. To examine the patient's left eye, he should have moved the ophthalmoscope to his own left eye, held it in his left hand, and he should have moved around to the patient's left side, to examine her, left eye to left eye.
(Theme)
by Massive Attack
With more than a million titles, it isn't feasible to handpick recommendations for every film. That's why we came up with a formula to suggest titles that fit along with the selected one. The formula uses factors such as user votes, genre and keywords to generate an automatic response. The system produces relevant results most of the time but since recommended titles are not manually chosen, occasionally they may include less than perfect matches.