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Microbiology automation: finding the right mix

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Comfort levels with new technology may also play a part. “Some labs are very uncomfortable with black-box automation where they can’t see the raw data. If you want a lower-complexity test, you may not want all that data staring at you—you may just want a positive or a negative. But, say for molecular detection, some people like to see an amplification curve for real-time PCR, and if suddenly someone gives you something with just a plus or minus and you can’t really look at the quality of the amplification curve or tell if there are borderline results,” that may not be the best solution for everyone, Dr. Hayden says.

Dr. Wang

Dr. Wang

At Grady Health System in Atlanta, one of the largest public health systems in the U.S., the laboratory has been semiautomated for blood cultures and some molecular tests for several years, says Yun F. (Wayne) Wang, MD, PhD, director of microbiology, immunology, and molecular diagnostics. The microbiology laboratory performs tests for the 853-bed hospital and eight community clinics.

In 2011, in addition to the existing BacT/Alert 3D blood culture system, Etest, Vitek 2, Vidas, and MicroScan systems used in the clinical microbiology lab, other automation was acquired: bioMérieux’s Previ Isola plating device (“the 100th in the world,” Dr. Wang says), the Previ Color Gram, and the MALDI-TOF Vitek MS (“the first mass spectrometer from bioMérieux purchased and installed in North America”). “These components are getting us ready for full automation,” says Dr. Wang, associate professor of pathology and laboratory medicine at Emory University School of Medicine.

He sees the hospital’s Beckman system for performing chemistry and immunology as a model track system to which the microbiology laboratory can aspire. His experience with molecular automated systems such as the Tigris DTS System for sexually transmitted infections and HPV testing, as well as the m2000 RealTime System for HIV and HCV testing, suggest they’ll be helpful in leading the conventional clinical microbiology lab to automation. “To me, if you compare microbiology to the Beckman system, we’re still not there yet. Right now we have years to go before TLA from beginning to end. But we are on our way.”

Kahn, left, and Clark at Alverno central laboratory, where the benefits of automation in terms of staff time have been seen already. Left: Canister from the unload stacker station of Copan WASPLab with plates that have been designated by digital image review to be removed from the incubator for transfer to a workstation to complete ID and susceptibility testing processing.

Kahn, left, and Clark at Alverno central laboratory, where the benefits of automation in terms of staff time have been seen already.

With a modular, piecemeal approach to automation, calculating a return on investment is not necessarily easy, he says. “Automated plating is going to save the technologist time just for plating, but also with manual plating it actually takes more time to process and identify the organisms or pathogens. If you have a mix of cultures, some of the organisms may be normal flora and some pathogens. When I first came, the pressure was always to subculture, subculture, subculture, work out identification, and just keep trying to isolate cultures. You would waste a day doing that to get quick identifications because you always felt some colonies are big, some are small.”

Canister from the unload stacker station of Copan WASPLab with plates that have been designated by digital image review to be removed from the incubator for transfer to a workstation to complete ID and susceptibility testing processing.

Canister from the unload stacker station of Copan WASPLab with plates that have been designated by digital image review to be removed from the incubator for transfer to a workstation to complete ID and susceptibility testing processing.

By contrast, “Automation gives you a very clear, clean isolation of each colony, so in that way it saves real work on the part of the technologist. Using mass spectrometry as well, you don’t need a large number of colonies or cultures. If you have a single one, if it’s very clean, you can analyze that in the patient.”

The integration of bioMerieux’s BacT/Alert, Vitek 2, Vitek MS, and Myla has helped his laboratory significantly reduce the time for positive identification of infectious organisms and antimicrobial susceptibility testing, Dr. Wang says. In his research, “we have seen reductions in time to results from as long as two days down to hours or even minutes once the culture turns positive.”

When the clinicians do infectious disease laboratory rounds and give medical students a tour of the microbiology laboratory, the perfect streaking that the specimen processor can do compared with manual streaking is always something to show off. “But that’s not the main reason we want to have the automation,” Dr. Wang says. “The clinicians know that with the MALDI-TOF, we are able to show them identification of results much more quickly. And that’s not just for bacteria but also for yeast, which used to grow much more slowly—it might take two or three days for a tiny, tiny culture. But the MALDI-TOF has changed the whole concept. We can now identify the organism right away, and that’s especially important for us, because we also have multiple drug-resistant organisms such as Acinetobacter baumannii to worry about.”

Given the FDA’s approval of automated instruments for microbiology, a majority of midsize and large laboratories stand to benefit, he says. “I think it is much easier than before for the hospital to capture the savings it needs from acquiring this equipment. The facility can really utilize it so it doesn’t need to rely on a lot of technologists on one shift, and personnel without a lot of expertise in the evening or weekend shift can handle it.” The more people get to know the technology and see how it works, he says, the easier it will be to foresee the potential benefits.

Automation is proving to be a winner for a completely different type of operation: Alverno Clinical Laboratories, a central laboratory facility in Hammond, Ind., that is jointly owned by hospitals in Indiana and Illinois. Microbiology for the 26 hospitals in the network gets physically shipped through couriers running up to four times a day to Hammond, from sites 15 minutes to three hours away. Although the centralized services microbiology model has been extremely successful, increasing automation has also led to significant changes.

“Traditionally,” says central laboratory director Dale R. Kahn, MT(ASCP), “the individual hospitals would plate and incubate their own microbiology tests, and the couriers used an incubated transport system so the cultures continued to grow during transport.” Two years ago, Alverno started to look at automation because it saw dramatic growth in its outreach business even while it was getting more and more difficult to find technologists. With predicted growth, Alverno knew it would need to add more bench space, but there were physical constraints. “We needed to adapt to accommodate increased volume,” explains Jim Clark, BS, SM(ASCP), manager of the microbiology laboratory.

“We looked at it in three phases. The first was automating our setups. So we went out in the market, looked at vendors, and chose Copan’s WASP.” Alverno acquired two units and went live in February 2013. “The workflow process allows our hospitals to send specimens directly to the central laboratory and the robotic instrument plates the specimens.”

The second phase was the instrumentation for rapid identifications. The Bruker MALDI-TOF was installed in 2013. “This decision was partly because they had a benchtop model that didn’t take up floor space. It was very conducive to any space limitations,” Clark says. “The big thing with the Bruker was that it reduced our turnaround time for IDs to such a degree that whereas conventional systems took anywhere from six to 24 hours, now we could get an ID out in a few minutes.”

Almost immediately, Alverno started to get calls from pharmacists and infectious disease doctors saying they were seeing an immediate impact on patients from getting them off antivirals and the broad-spectrum antibiotics earlier, and from shortening length of stay.

The third phase was bringing in a robotic track and the smart incubators. “That just came March 17,” Kahn says, “and when we finish the installation, we will be the first laboratory in the U.S. to implement this Copan technology and have total automation for microbiology.”

Kahn predicts the installation will revolutionize the way the laboratory works. “Today, when we do a workup, it is typically in a kind of semi-batch. At certain times, the technologists pull plates out of the incubators and take them to the benches and work up the cultures. But once we are underway, the plates will proceed from the automated specimen processor down the conveyor belt, a high-resolution camera will take a picture, and then a robotic arm will place them into the incubator. Since the plate will stay in the incubator most of the time, versus coming in and out as it does today, that will reduce turnaround time.”

Clark and Kahn believe the identifications will be sharply faster with the new system, and they expect that the validations being conducted now will bear that out before the laboratory goes live with patient samples. “Because we are the first site in the U.S., there is obviously a lot more work to be done. But under our timeline, the validations will be done in less than three months, and we can go to full implementation,” Clark says.

Instead of the technologists looking at a plate, the smart incubator will take those plates back to the camera at specified intervals, depending on the culture type under each different protocol. “The techs in the future will look at computer screens rather than plates,” he says. “The advantage is that Copan can automatically segregate them semiquantitatively from heaviest growth to no growths. The tech can very quickly look on the computer screen, see which is which, and report it. Then the robot knows to retrieve those plates, send them down the conveyor belt, and dump them into the garbage if there is no growth. A tech can then quickly drop information into the LIS, or ID the colony on the MALDI, or do a susceptibility on the MicroScan or a Gram stain or subculture or whatever. It just involves a click on a computer screen.”
With the new system’s cameras, photos can be taken at six or 12 hours or at whatever interval is ordered. A dashboard on the wall will display the number of plates ready to be screened, retrieved, or read to identify. “It will even tell you at 2 pm this afternoon it’s going to have this many plates ready to be read. So instead of batch mode like traditional microbiology, we will be active round the clock.” It will shave time and make the operation more efficient, he adds.
The two incubators the laboratory now has each hold 1,764 plates and can handle about half of the laboratory’s volume, which is about 2,000 plated cultures a day, Clark says. “You’re holding some plates for more than one day—even four days for a slow-growing organism—so that’s why you need space for a large number of plates.” But with the automation, “I would anticipate we can handle our projected growth with no problem. We calculate we could absorb 30 percent to 50 percent growth without any additional FTEs.”

“The nice thing about this system,” Clark says, “is that as long as there is space to add an incubator and piece of connecting track, and if necessary another front-end instrument for all the plated cultures, that’s really all that’s needed. By reading plates on a computer, you save two-thirds of your bench space that’s needed to work on cultures. You don’t need to put plates on your counter to shuffle them back and forth into the incubator.” Instead, it’s your computer screen, mouse, and computer. “The only workup area is the centralized one near the end of the track.”

Alverno has an additional improvement project involving blood culture centralization and rapid identifications. The laboratory just completed its validation protocols for centralizing all blood cultures at the central lab.

“Under the old method,” Kahn says, “each hospital would do its blood cultures on site, and if they went five days and stayed negative the whole time, they would final them out. If they were positive, they would do a Gram stain and subculture the specimen and send it to the central lab to work it up. In the near future, the blood culture bottle will be immediately available to perform an extraction, put it on our MALDI, and get an ID in only half an hour. Once we centralize the cabinets for the more critical sepsis patients, we can actually get the ID almost a day earlier than before. So it will be huge for patient care.”

The aim, on behalf of the hospitals, is to decrease turnaround time via automation, Clark says. “With the increase in constraints on everybody in the health care system, it’s increasingly difficult to maintain the level of service expected in the hospitals to plate cultures 24/7. If you have a midnight-shift hospital of 200 beds with only one or two people in the laboratory, those specimens may sit for almost an entire shift before there’s an opportunity to plate them and get them going. In those cases you transport to the central lab, and you connect to our more swift automated process.”

Clark, a microbiologist for 40 years, says it’s exciting to change the way the laboratory operates. “Switching over to essentially a continuous process rather than batch processing is something that is needed. But doing it without automation and computers and robotics would require an increase of personnel and staff management as well as sorting of cultures into slots and racks.”

The benefits in terms of staff time have already been seen in the centralized laboratory and in reduced FTEs at the hospital sites, Kahn says. “My advice for every microbiology laboratory in the country: It’s a must to adopt automation, especially rapid identification, whether they do the MALDI or molecular technology. Whether it’s all of what we did or pieces of what we did, every microbiology laboratory needs to consider microbiology automation to deliver better patient care.”
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Anne Paxton is a writer in Seattle.

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