Institute for Emergency Service Novi Sad Boosts Efficiency with Microsoft Lync 2010

MicrosoftThe Institute for Emergency Medical Service (EMS) in Novi Sad, Serbia, has turned to Microsoft Lync 2010 for assistance with upgrading its once-antiquated dispatching system. Previously when patients called EMS, their details were taken down on paper and a dispatcher relayed that information to the teams in the field via radio station or cellphone. This approach was fraught with a number of challenges, which had a direct impact on the quality of service provided when every second can mean the difference between life and death.

The first challenge was the quality and accuracy of data verbally taken from patients by call center operators and written down on paper, the second was that all the data then had to be manually entered into a facility computer by a person from administration who was not initially involved in the collection process, which inevitably meant inconsistencies occurred, and the third problem was that this approach meant it was practically impossible to gather statistical data that could be analyzed and evaluated for research purposes.

"Our dispatching center is the vital link between citizens who are in need of emergency care and medical response teams," said Dr. Nenad Aracki, chief of the Institute for Emergency Medical Service. "The process in place was out of date, burdensome and directly impacting the ability of employees to do their jobs effectively."

Through an application developed by Microsoft Gold Certified Partner CPU, patients’ calls arrive automatically, providing the caller's name, address and phone number to the responding operator along with call history and detailed information about the patient's previous calls. The operator can then enter patient data into the application, supported by Lync 2010, give the patient call a priority (1: red, 2: yellow, 3: green), and determine if the police or fire department need to be dispatched.

If a caller's emergency is a matter of life or death, the operator can distribute information within three to five seconds, and if callers want to know the status of an intervention in progress, they can get an answer.

"We managed to shorten certain time parameters, specifically the call center response time," Aracki said. "As we receive more than 650 calls on a daily basis, any savings in time is valuable. Now the operator can receive and distribute any information with just a few mouse clicks and within seconds."

CPU also developed an application for EMS based on Lync 2010 that records the exact time when a call is initiated, how long it lasts, how long it takes for information to be distributed to the field unit, when the responders arrive at the patient's location and the length of time of the medical intervention.

"Since the majority of our patients suffer from chronic diseases, they call frequently," said Dr. Srdjan Cobanov, chief of the dispatching center. "This new system enabled us to go through previous patient calls, and now it is easier for our dispatchers to diagnose, triage and send the EMS team to that patient."

More information on the EMS's deployment of Lync is available in the Microsoft customer case study and the Microsoft Customer Spotlight newsroom.

Related news articles:

About Microsoft
Founded in 1975, Microsoft (Nasdaq “MSFT”) is the worldwide leader in software, services and solutions that help people and businesses realize their full potential.

Most Popular Now

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it...

Alcidion Grows Top Talent in the UK, wit…

Alcidion has today announced the addition of three new appointments to their UK-based team, with one internal promotion and two external recruits. Dr Paul Deffley has been announced as the...

AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to...

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

AI, Full Automation could Expand Artific…

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review...

How AI could Speed the Development of RN…

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training...

MIT Researchers Use Generative AI to Des…

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research...

AI Hybrid Strategy Improves Mammogram In…

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection...

Penn Developed AI Tools and Datasets Hel…

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School...

Are You Eligible for a Clinical Trial? C…

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success rates. Researchers...

Global Study Reveals How Patients View M…

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...