Predictive software gets ambulances to you faster
The Ambulance department of Albuquerque, New Mexico is using extremely advanced predicative software to strategically place Ambulance units around the city. After gathering over five years of data, the department was able to create a heat map that displays predicted activity that could require an ambulance. The department places “more than 60 ambulances” based of this collect data heat map. This blog will critically discuss improved emergency response time, the reactions from emergency responders to this technology, and the overall impact technological advancements are having on this medical field. Department Chief Kurt Krumperman is well aware of the importance of this technology. “Response time matters…it makes a difference.” The Ambulance department has recorded an increased response time and this simply means life-saving equipment and technologies are reaching those in need faster. In the medical world, seconds are crucial. The difference between life and death could be seconds, and with the response time continually being shortened by new technologies, the patient can be more optimistic. Although Albuquerque is seeing positive results, other paramedics are concerned with this technology. In conversation with NBC News interviews, we learned what some paramedics truly believe. “At the end of the day, when you look at this system, it's a roll of the dice” says Paramedic Union President Walt Stevens. This inconsistency worried first responders because it is never certain. Statistically speaking, the Optima technology works, but those who don’t trust the technology or just like operating “old fashioned” are finding it difficult to transition. At the end of the day, it is the statistics that matter, and for the ambulance department of Albuquerque, New Mexico the statistics are promising. The department has seen units get to emergencies faster and this is saving lives. The software is enabling the health care emergency response field to serve society as efficiently and effectively possible. The department is not the only one to benefit, society and the public’s safety also benefit greatly. I believe the article overlooked what data is actually collected to create this predictive software. It also failed to include statistical evidence but this could be primarily due to its only recent inclusion into the department. Lastly, I believe the article could have mentioned the cost effects such a transition into a predictive operation could have on the department. When making the decision to adopt this technology, other ambulance departments should be aware of what the transition will cost and thus determine if it is necessary and affordable.
Swanson, Kristen. "Predictive Software Gets Ambulances to You Faster." KOAT. KOAT, 8 Mar. 2016. Web. 14 Mar. 2016.
"Paramedics Unhappy with Call "prediction" Software." NBC-2.com. NBC, 29 June 2010. Web. 14 Mar. 2016.