Joe Kiani

Massi Joe E. Kiani (born September 16, 1964) is an Iranian-born American entrepreneur who founded medical technology company Masimo in 1989.

Joe Kiani was born in Shiraz, Iran, and emigrated to the United States at the age of nine. Kiani's father was an engineer and his mother was a nurse. Despite not speaking more than three words in English when he arrived in the United States, he graduated from high school at the age of 15 and, by the time he was 22, had earned both his bachelor's (B.S.E.E) and master's (M.S.E.E) degrees in electrical engineering from San Diego State University.

Kiani founded the medical technology company Masimo in 1989 and was later joined by partner Mohammed Diab. The company is now publicly traded and employs more than 3,000 people worldwide. Masimo technologies are used to monitor over 100 million patients per year. According to industry watchers, "...while that accomplishment alone puts him in the same breath as business legends like Apple's Steve Jobs or Microsoft's Bill Gates, Kiani's contribution to the world of medicine may be even more profound." In 2011, Forbes named Masimo to its list of top 20 public companies under a billion dollars in revenue, based on earnings growth, sales growth, and return on equity.

Pulse oximetry is one of the most common monitoring technologies used in healthcare. Masimo makes a pulse oximetry technology known as Signal Extraction Technology (SET), which is known as being the first pulse oximemtry technology to reliably measure-through motion and low perfusion conditions. Masimo's additional industry-first technologies include rainbow Pulse CO-Oximetry, which noninvasively and continuously measures blood constituents and physiological parameters that previously required invasive procedures, such as total hemoglobin (SpHb), carboxyhemoglobin (SpCO), methemoglobin (SpMet), and pleth variability index (PVI). Masimo also makes rainbow Acoustic Monitoring, which measures respiration rate (RRa), and recently debuted Halo Index in their SafetyNet system, combining multiple physiologic parameters into one number to help clinicians assess overall patient status.

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