HAMILTON — Community Memorial Hospital (CMH) in Hamilton on Oct. 2 broke ground on an expansion and renovation project of the Hamilton Family Health Center at 164 Broad St.

The “Building for the Future” project is scheduled for completion in the summer of 2019 and will “provide convenient, one-stop primary and secondary specialty care” for residents in the Madison County area, Community Memorial said in a release.

The 5,000-square-foot expansion and renovation project is designed to put primary and specialty care “under one roof,” CMH said. The project includes an enlarged patient waiting area and the addition of 20 to 25 new exam rooms.

Construction is set to begin in October. Crews will start building the shell of the expansion, which will be complete “before the snow flies,” per CMH. Construction workers will then use the winter and spring to work on the interior and layout with an anticipated completion in the late spring or early summer in 2019. 

The work will result in space for at least three additional primary-care physicians and two to three specialty offices, like urology and obstetrics and gynecology.

CMH said it “recognized two critical necessities” that it needed, including primary-care physicians and the physical space to house the providers. The hospital has determined that its “current lack of space” made physician recruitment “challenging.” 

The Hamilton Family Health Center is currently at capacity with 11 providers and is “frequently limited” by the number of exam rooms available. When looking at the opportunity to expand and renovate the hospital, the organization “had to take into consideration” the Family Health Center, which “quickly became our priority,” Sean Fadale, president and CEO of Community Memorial, stated.

The organization held the groundbreaking in front of the entrance to the Hamilton Family Health Center. 

Local residents and community officials attended the ceremony. Those participating in the event included Fadale; Village of Hamilton Mayor Ruthann Loveless; Dr. Robert Delorme, who served as master of ceremonies; Dr. Seth Kronenberg, COO & CMO of Crouse Health in Syracuse; and Julie Rubenstein, chair of the CMH Foundation board of directors. 

Community Memorial Hospital has an affiliation agreement with Crouse Health in Syracuse.

For more than 60 years, Community Memorial Hospital has provided care for patients in 30 Central New York communities in Madison County “and beyond.” The hospital provides primary-care services with a network of five Family Health Centers in Hamilton, Cazenovia, Morrisville, Munnsville, and Waterville) an after-hours urgent care clinic, and 24/7 emergency-medicine services.    

OSWEGO — A grant from the National Institutes of Health (NIH) is allowing SUNY Oswego computer science faculty member Daniel Schlegel to apply artificial intelligence (AI) to a very complex problem: the automated interpretation of guidelines for medical treatment of diseases, according to a news release from SUNY Oswego.

The three-year, $325,000 grant from NIH’s National Library of Medicine paves the way for Schlegel to work on the project with Oswego students, aided by mentorship and consulting from clinicians and researchers at Roswell Park Comprehensive Cancer Center in Buffalo, the University of Haifa in Israel, and University College Cork in Ireland.

The documentation for treating each disease can run up to hundreds of pages, Schlegel said. In the long run, the project will ultimately integrate computer-interpreted guidelines with electronic health record systems, putting into doctors’ hands — at the time of care — the keys to resolving sometimes contradictory guidelines for treatment of patients with multiple diseases and other health issues, the release explained.

“Doctors use clinical practice guidelines to decide how to treat people with different disorders,” said Schlegel, who earned both his undergraduate degree in computer science and his master’s degree in human-computer interaction at SUNY Oswego before obtaining his doctorate in computer science and engineering at the University at Buffalo. “They exist for every different type of disease. They sometimes use pretty fuzzy language, for example, ‘You may perform this procedure …’”

Schlegel has chosen guidelines for four categories of disease to start with: diabetes, non-small-cell lung cancer, prostate cancer, and those for patients who have already had cardiac events and need to reduce the risk of further problems.

“Humans can’t memorize all of this,” he said. “How can we make it so they have immediate access to information, in a good way, and hopefully have computers help with that?”

Schlegel and his research team have to build a general representation, working to make it useful for many sets of guidelines. The computer will then “read” the guidelines into that representation, using natural-language understanding techniques.

There also needs to be a set of definitions. For example, what is “normal” blood sugar? The definition of what’s normal may be in a table in a separate resource, he said, “so we need to connect these things somehow.”

Schlegel provided an example of fuzziness in a guideline: “Patients should be assisted by counseling and by development of a plan for quitting (smoking) that may include pharmacotherapy and/or referral to a smoking cessation program. (Level of Evidence: A)”

Words such as “should” and “may” are conditional and less restrictive than the word “must,” which isn’t used in guidelines. Besides finding a way for a computer to deal with that, there also would need to be an explicit link to a definition for “levels of evidence” — such as research studies — supporting the guideline, the release stated.

The project, while formidable, promises eventually to reduce treatment mistakes and make for more consistent clinical decision-making. 

For expert assistance, Schlegel has enlisted Carmelo Gaudioso, a researcher at Roswell Park working with systems supporting physicians’ clinical decisions; Mor Peleg, a professor of information systems at University of Haifa who has worked on computational representations of medical treatment guidelines for years; and Selja Seppälä at University College Cork, an expert in dealing with computer-interpretable definitions.

Schlegel said SUNY Oswego students — four during the academic year and three each summer — would have the opportunity to work with him on the project and to travel to Buffalo to meet with Gaudioso. A couple of students would travel to Haifa with Schlegel to work with Peleg.

During Schlegel’s doctoral work in computer science and engineering at the University at Buffalo, he worked on language understanding of intelligence messages for military applications. Then, during his post-doctoral work in biomedical informatics at Buffalo, he became interested in medical-treatment guidelines, the release noted.

“It seemed like a place where artificial intelligence could make a difference,” he said.