5 WAYS TO KEEP VACCINE ‘COLD CHAIN’ SAFE FROM HACKERS

Rocky Mountain Regional VA Medical Center associate chief of pharmacy operations Terrence Wong opens a box containing a shipment of the Pfizer-BioNTech COVID-19 vaccine before storing it in a freezer on December 15, 2020 in Aurora, Colorado.

Rocky Mountain Regional VA Medical Center associate chief of pharmacy operations Terrence Wong opens a box containing a shipment of the Pfizer-BioNTech COVID-19 vaccine before storing it in a freezer on December 15, 2020 in Aurora, Colorado.

A major health system commissioned the study, which finds that an attacker located near equipment like freezers and coolers could use electromagnetic interference generated by simple devices like walkie-talkies to fool temperature sensors into giving false readings.

The interference could cause a cooler’s temperature monitor to falsely indicate that the vaccine inside has become too warm to use, or it could cause a freezer to malfunction and spoil its contents.

The good news is there are simple steps that hospitals and health systems can take to protect themselves. Kevin Fu, then associate professor of electrical engineering and computer science at the University of Michigan, led the study. Fu later joined the FDA as acting director of medical device cybersecurity. He recommends the following five steps:

1. Restrict access to data like temperature displays

A potential attacker might try to devise a hack using trial and error—trying several different types of electromagnetic interference (EMI), such as radio waves from walkie-talkies, while watching temperature displays or other data to see which type of interference is effective.

  1. Health systems can protect against this kind of attacker by making data points like temperature readouts less visible. This could be done by:
  2. Installing blinders on temperature displays, similar to those on ATMs and voting machines.
  3. Eliminating real-time temperature displays when possible.
  4. Moving displays to make them less visible—for example, turning a display so it can’t be seen through a room’s doorway.
  5. Restricting access to areas where temperature displays are located.

2. Keep the details about your sensors confidential

If a prospective attacker knows which sensors you use, they could buy an identical model, then work out the details of an attack off-site. Health systems can reduce the likelihood of this by keeping model numbers and other details about the temperature sensors in equipment like coolers and freezers confidential.

3. Keep the locations of your sensors confidential, and move them frequently

To successfully carry out an attack, a hacker must put an EMI device within a certain distance of the targeted equipment. There are a number of ways that health systems can make that more difficult. They include:

  1. Keep the locations of cold chain equipment confidential.
  2. Frequently moving equipment to different locations.
  3. Moving equipment toward the center of the rooms where they’re stored. This makes it more difficult to carry out an attack from an adjoining room.

4. Select the lowest possible sensor sampling rate

Temperature sensors take measurements at pre-set sampling rates—for example, once every five minutes. And a sensor with a lower sampling rate provides less data that a hacker could use to carry out an attack.

5. Use a sensor that’s less susceptible to electromagnetic energy

Depending on specific application, it may be possible to use a sensor that’s less susceptible to interference than a traditional thermocouple, like an on-chip integrated temperature sensor or a chemical-based temperature indicator.

Read more at 5 WAYS TO KEEP VACCINE ‘COLD CHAIN’ SAFE FROM HACKERS

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Supply Chain Analytics: How Manufacturers Can Get The Most Value Out Of Their Automated Data Capture Technology

There are a prolific amount of data sets and data sources available that can help overcome the aforementioned challenges. The problem is that “big data” is coming in from so many varied sources, and manufacturers simply do not know what to do with it or how to use it. The answer lies in supply chain analytics. With the right analytical tools, manufacturers can obtain actionable, meaningful, and supported insight from available data in order to make better business decisions. When it comes to AIDC, supply chain analytics are most useful in two chief areas: device optimization (the technology itself) and labor management (those who are using the technology).

AIDC Device Optimization

With supply chain analytics, manufacturers can receive timely and relevant feedback about their AIDC platform to determine how the technology is performing – feedback beyond what is provided by a typical Mobile Device Management solution. Through this insight, users can better understand the underlying causes of inefficiencies, identify areas for continuous improvement, perform predictive analysis, and more. For example, through dashboard and reporting tools, manufacturers can easily see device utilization data to determine user adoption rates. They can monitor battery performance of their devices in the field to prevent downtime. Or, they can even make sure that the right tools are available at the right time. As a result, manufacturers can optimize their mobile deployments to attain additional ROI.

Labor Management

The second component to this equation involves labor management. Using supply chain analytics, it is possible to match the right tools with the right people, and the right people with the work. Analytics platforms accomplish this by gauging and managing the labor resources that use the technology in terms of measurement of activity benchmarking, engineered labor standards, and dashboard reporting. These tools take into consideration production data (volume), integrated with labor, cost, customers, and time data.

Achieving Analytics Success

Supply chain analytics tools can provide practical and fully actionable (fact-based decision making) information to help optimize the supply chain from an AIDC and human capital standpoint. Along with the right AIDC tools and support organization behind those tools, supply chain analytics can assist in driving more revenue, reducing your cost structure and improving the experience of your customers and your workforce. Yet, this is only a piece of the supply chain analytics puzzle. Looking forward, manufacturers will continue to extend the capabilities of analytics tools to gain insight into the overall performance of the manufacturing facility. With the influx of the Internet of Things (IoT), more data points are available than ever before, which allows manufacturers to gauge the efficiency of a particular production line or overall equipment effectiveness (OEE).

Read more at Supply Chain Analytics: How Manufacturers Can Get The Most Value Out Of Their Automated Data Capture Technology

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