News

Software firm in the business of saving lives

Stuff.co.nz, December 19 2011

Few businesses can say their product helps save lives but Auckland firm Optima could be one of them.

The company's software helps ambulance operators determine where they need to have ambulance stations, vehicles and staff based on present and future demand.

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Optima Announces Solution to Better Manage Non-Emergency Patient Transport

AUSTIN TEXAS - March 8, 2011 - Non-emergency medical transportation (NEMT) providers have a new solution to reduce costs associated with moving patients between medical facilities. The Optima Corporation today announces a set of powerful planning tools that helps dispatchers or patient transfer officers dynamically determine the best use of patient transport resources. By avoiding costs associated with ambulances travelling empty and by creating optimal, up to the minute routes, medical transport providers see significant improvements in operational efficiency.

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US Hears Siren Call of Kiwi Software

The New Zealand Herald, October 21 2010

An Auckland company that helps ambulances reach emergencies post-haste has grown by a quarter in the last 12 months.

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Denver Health and Hospital Authority, Paramedic Division to use Optima Corporation Predictive Modeling Software

Austin, Texas, February 08, 2011 - The Denver Health and Hospital Authority Paramedic Division, the advanced life support (ALS) provider of emergency medical services (EMS) for the City and County of Denver, has selected predictive modeling and deployment software from the Optima Corporation for its 155-square mile service area with an estimated residential population of 600,000.

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Ambulances rescue tech firm

The New Zealand Herald, October 21 2010

Getting ambulances out to emergencies in double-quick time has created a business opportunity with global potential for an Auckland-based technology company.

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Complex maths safeguards Optima’s core capability and IP protection

sticK – science, technology, innovation & commercialisation KNOWLEDGE sticknz.net, October 12, 2010

Complex algorithms are both the underlying core capability and inherent in-built knowledge protection for Optima Corporation’s unique emergency management software being rolled out around the world.

Getting the right ambulance or fire engine, with the right personnel to the right place as quickly as possible is a complex scheduling and logistic challenge.

“It’s a very difficult thing to solve,” says the Auckland-based company’s chief executive, Chris Mackay. “What we provide is something that’s much faster and more effective than a human mind can do.”

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Kiwi emergency response technology goes global

TVNZ - NZI Business, August 4, 2010

A Kiwi research company is earning big plaudits in the US for its mathematically based emergency response software.

The Optima Corporation, founded in 1998 from Auckland University's engineering science department, now sells software in six countries and has established itself in the United States, Australia, Canada, Denmark and the United Kingdom.

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Optima keeps restructuring Danish ambulance system

The National Business Review, July 5, 2010

Optima has landed a further $1m deal with the Danish government thanks to its new unique emergency services software that can predict where the next emergency will occur and what ambulance vehicle is the closest at the time of the incident.

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Two Optima Software Solutions Selected as Journal of Emergency Medical Services (JEMS) Hot Products for 2010

Austin, Texas, June 14, 2010 - Optima live ^TM and Optima predict ^TM software programs have been selected by the Journal of Emergency Medical Services (JEMS) as 2010 Hot Products from the annual EMS Today conference. Optima live ^TM and Optima predict ^TM are designed to help emergency medical services (EMS) dispatchers and operations personnel gain insight into ways to reduce response times and deploy ambulances and other resources more efficiently. The programs simulate and predict changes in call volume and other potential events to help place the right resources in the right area at the right time, thus improving deployment efficiency and medical care.

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Yoke Har Lee: Long courtship wins US sales

The New Zealand Herald, May 31 2010

Making the world better through clever mathematical modelling may seem like science fiction, but it is core business for Optima Corporation.

Optima uses mathematical modelling to improve efficiency and cut spending. As an example, the software it has developed has been used to significantly improve ambulance response times.

In January Optima scored a success in Florida, where the Lee County Emergency Medical Services and Emergency Dispatch Centre deployed two versions of its software - live and predict - to make the best use of resources.

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Florida EMS Uses Optima Software to Do More with Limited Resources, Avoiding more than $750,000 in Unnecessary Costs

Austin, Texas (PRWEB) April 27, 2010

Optima live^tm deployment and Optima predict^tm software programs are designed to help emergency medical services (EMS) dispatchers and operations personnel gain insight into ways to reduce response times and deploy ambulances and other resources more efficiently. The programs simulate and predict changes in call volume and other potential events to help place the right resources in the right area at the right time, thus improving deployment efficiency and medical care.

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Optima live^tm used in the Lee County (USA) EMS

NBC2 News, Dec 29 2009

Optima live^tm used in the Lee County EMS, Florida (U.S.A).

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Optima live ^tm & Optima predict^tm at Lee County (USA) ambulance dispatch

WINK News Jan 12, 2009

Optima predict^tm and Optima live^tm products being tested in the Lee County ambulance dispatch, Florida (U.S.A).

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Software start-up Optima scores big deals overseas

The New Zealand Herald, March 27 2007

An Auckland software start-up has become a multimillion dollar exporter in a year, winning international orders for its latest product before it is finished.

Optima Corporation builds software using mathematical algorithms to analyse the resource allocation of an organisation and suggest how to improve it.

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