Jarie Bolander, COO-Lab Sensor Solutions-Tracking and Maintaining the Integrity of Medical Samples in Transit
Finding Genius Podcast
Richard Jacobs
4.4 • 1K Ratings
🗓️ 12 October 2018
⏱️ 22 minutes
🧾️ Download transcript
Summary
There are a wide variety of medical tests and samples that are time, temperature, and handling sensitive; if either one of these factors isn't properly maintained, then inaccurate results will be delivered, putting the health and lives of patients at risk. With an error rate of 35-40 percent, blood samples taken for the purposes of monitoring chemotherapy are the most vulnerable to becoming compromised by environmental variants encountered before they even reach the machine for analysis, and a variety of other medical samples have an average error rate of between five and eight percent.
Lab Sensor Solutions is a company that's developed a system to address this by closely tracking the temperature and location of sensitive medical samples with less than a five-minute delay. How do they do it? Since such sensitive samples should be kept in close proximity to the courier who's transporting them, Lab Sensor Solutions places Bluetooth-enabled, low-energy temperature sensors inside the containers holding samples, and connects those sensors to the courier's own mobile device. If a sample has been sitting too long, has reached too high or low of a temperature, or is on a route that will take longer than the sample will stay viable, then an alert will automatically be sent to the courier, the dispatcher, and the supervisor on shift.
Prior to the implementation of this system, there was no way to identify when a sample was at risk of spoiling, but now the team at Lab Sensor Solutions is seeing on average three to five corrections a day and a significant increase in overall compliance. They already have 12 customers all around the country and are continuing to expand. Tune in and visit Lsstracks.com to learn more.
Transcript
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| 0:00.0 | Welcome to Almost Here, Around the Corner of Future Technology Podcasts with Richard Jacobs. |
| 0:07.0 | Future Technologies is to transform our lives for better or worse or the focus of this podcast. |
| 0:13.0 | Almost here means these technologies are now here and starting to be used. |
| 0:17.0 | Or just around the corner, for Bitcoin to artificial intelligence, |
| 0:21.0 | 3D printing, blockchain, virtual reality, and more. |
| 0:25.0 | So this is Richard Jacobs with the Future Tech Podcast. My guest is Jerry Ballunder, |
| 0:32.1 | the CEO of ISS Tracks.com and the company itself is integrated, sorry, lab sensor solutions. |
| 0:41.0 | So Jerry, how you doing today? |
| 0:42.0 | Well, I'm doing great Oh I'm doing great, |
| 0:44.0 | I'm doing great. Thanks for having me. Yes, so tell me what's the premise of the |
| 0:47.3 | company, what do you guys do? So lab sensor solutions tracks the |
| 0:51.2 | temperature and location of perishable medical supplies so they don't spoil things like blood, tissue, urine, pharmaceuticals, anything that could spoil, it pulled out of you or put into you, like what they like to say. |
| 1:07.6 | So it's a way to ensure that things are held at safe temperatures or they're at the right place at the right time. |
| 1:17.0 | I guess that's super important. |
| 1:20.0 | What's the incidence of lab solutions gone bad or specimens gone bad? |
| 1:25.0 | So specimens gone bad, there's a wide variety of data on that. |
| 1:31.0 | It generally depends on the specimen, but the what's called the pre-analyical error rate, which is before it ever gets to the machine, can be anywhere between 5 and 8%. And that error rate could be as simple as the |
| 1:49.0 | label was wrong or it held the sample in the wrong temperature or the sample didn't get there at time in the right time. |
| 1:56.2 | So there's a lot of different types of error rates and again it also depends on the sample, type of sample. |
| 2:04.2 | Some samples are super time sensitive, like cancer samples, especially blood samples for |
| 2:10.9 | monitoring chemotherapy, and those error rates at times can be you know 35 40 percent so what |
| 2:20.2 | what we are just trying to do is make a unified system to ensure that those things like blood samples |
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