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Bringing Analytics to the Treatment Level

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Nearly three years in the making, the Total Cancer Care Survivorship Initiative at Tampa-based Moffitt went live in late August with a patient Web portal, starting with colon cancer survivors. The goal is to follow survivors for the rest of their lives to reduce recurrence of cancer through personalized follow-up care and lifestyle changes, and to catch any recurrences early. The program also will provide patients with a detailed summary of their care to educate them and other providers about the treatment history and any risk-related effects.

“It’s really an opportunity to let patients, once their treatment is complete, get on with their lives and make lifestyle changes they want to make,” says Paul Jacobsen, Ph.D., chair of the Department of Health Outcomes and Behavior at Moffitt. But the treatment summary also will support continuity of care, Jacobsen adds. For instance, if cancer returns, many patients don’t remember much about their initial treatment except that they had chemotherapy.

An application in a data warehouse behind the portal will enable the building of care plans for each survivor with recommendations for what tests should be taken and at what intervals. The recommendations initially will be based on general evidence-based guidelines, but will become more personalized as researchers find new best practices.

“The generic recommendations are ‘one-size-fits-all,’ such as getting a colonoscopy every six months,” Jacobsen says. The hope is to over time make the recommendations pertinent to each patient by including such factors as pain, sleep and fatigue problems, and refer patients to specialists or trusted reference information on the Web. Using data to better identify personalized traits also can show if family members should have genetic counseling to identify their cancer risks.

Proponents hope to have some personalized treatment guidelines and provide help finding additional information starting in the summer of 2010, depending on available funding, says Lance Caranante, director of business and finance systems at Moffitt. “We want to present them data that they’re likely to go looking for anyway on the Web,” he notes. “We’re focusing on trusted sites and valuable information, such as age-specific treatment for certain drugs, that they might not find. We’re going to give them the data we hope will be relevant to them.”

The program also will include a physician Web portal to share best practices and other information with patients’ primary care physicians. It will take two or three years to compile adequate data to support valid research.

The forthcoming personalized treatment based on genetic and lifestyle considerations, combined with a portal to bring information gleaned from the data warehouse down to cancer survivors and their physicians, is revolutionary, Caranante contends. “We’re on the forefront of developing a personalized portal to a level that doesn’t exist today. This first piece is very important because it gives the means to support the portal. Nearly 40,000 patients have consented to having their data stored in the warehouse. The possibilities are endless.”

How it Works

The Total Cancer Care program started with a data warehouse holding information on 38,500 patients, which has taken nearly three years to collect. The warehouse holds data from Moffitt’s electronic health records system and a cancer registry. The registry, with data from Moffitt and patients’ other providers, will aid in following patients throughout their lifetime. The cancer center annually contacts patients and their providers to get updated information via telephone, e-mail, postal mail, fax or electronic health records.

The data warehouse also will support continuing research at Moffitt and 17 other treatment facilities across the nation to identify the most appropriate treatments based on best practices, patient genetic characteristics and other factors. “We try to find the underpinnings of the molecular mechanism of cancer, and reveal genetic signatures predictive of diagnoses, therapeutic interventions and prognosis of the disease by bringing together molecular and clinical data,” says David Fenstermacher, Ph.D., a biomedical and genomics researcher, and chair and executive director at Moffitt’s Department of Biomedical Informatics.

Moffitt’s data warehouse sits on a platform from Oracle. Its data marts are managed with Microsoft SQL Server software.

Microsoft’s Amalga Life Sciences data integration and aggregation software combines data from multiple sources and organizes it, and the vendor’s ProClarity software facilitates the building, analysis and reporting of data sets pulled from the warehouse. In essence, Amalga and ProClarity provide some of the tools to analyze data, Fenstermacher says. Moffitt is installing the latest version of Amalga, which includes a dynamic view builder that will enable researchers to quickly select what data elements they want, such as smoking history and other risk factors, rather than wade through thousands of different elements, Fenstermacher notes. “We’ll be able to design on-demand data for researchers and tell them the strengths and limitations of the data.”

He’s also excited about Microsoft’s recent acquisition of certain genomic data analysis technologies of the Rosetta Biosoftware unit of Rosetta Inpharmatics LLC. Microsoft will embed the technologies in the Amalga software. “We’ll take it and look for genes turned on and off to help us understand the molecular mechanisms of cancer,”

Fenstermacher says. “It’s going to provide a rich set of data from diagnosis through treatment and survival.”

Early Returns

While the program didn’t start for patients until late August, the data warehouse and analytics software has already provided significant benefits for Moffitt researchers, who previously had to look in 25 different information systems for data. Many of the legacy systems have been turned off and the warehouse gets data feeds from 14 active systems. “The time savings are huge,” Fenstermacher says. “We can get the data in a minute rather than doing chart abstractions which can take weeks or months.”

He notes, however, that today only 40 to 50 percent of the data he needs comes from the warehouse, but expects big gains during the next three years as about 100 patients daily consent to their data being put in the warehouse. “We’ll never get to the point where all data is in the data warehouse. If I could get 80 percent, that’s when I’d say ‘success.’”

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