In-Person Meetings for Classes on Monday, January 26, 2026 are Cancelled; Online/remote classes to be held as determined by Faculty.
Public Safety is tracking a significant snowfall that will be arriving in our area late Sunday morning (Jan. 25). It will snow heavily throughout the day and evening eventually tapering off Monday (Jan. 26) with 10-14 inches expected statewide. A sleet and freezing rain mix is also possible along the shore. Temperatures will be in the teens and twenties.
Due to this significant winter storm and the extensive campus clean-up operations that will need to take place, all in-person day and evening classes scheduled for Monday, January 26, 2026 have been cancelled. All scheduled in-person classes will transition to being held online or remotely. Additional information on the virtual format for each class will be provided by your instructor.
Faculty have been asked to prepare for Online or Remote sessions in the event of in-person meeting cancellations. These options will be determined by the Faculty member and all questions should be directed to the Faculty teaching each course section. Faculty also have been asked to be very understanding and accommodating of the individual situations of their students who may have difficulty managing these alternative online or remote class meetings on short notice.
Please note that only essential employees, as previously determined by their respective department leaders, should report to campus. All other employees should fulfill the requirements of their role remotely.
Campus operations for residential students, unless otherwise noted, will operate as scheduled, though hours may be modified or changed based on the conditions. Separate messages will be sent from the Peterson Library, the Beckerman Recreation Center, and Dining Services regarding any changes to their normal hours of operation. The Bergami Center for Science, Technology, and Innovation will remain open for residential students to use for study space and to participate in online classes.
Off-campus students that live in the City of West Haven should abide by the city’s parking ban during inclement weather to avoid having their vehicle tagged and towed. Please check the City of West Haven’s website for further information on their snow parking ban.
MHA Candidate Internship Presents ‘Tremendous Opportunity for Me to Contribute Directly to the Project’
As part of my internship with Yale New Haven Health, I recently had the opportunity to create a facility scoring system and to present my work to the project team. It was a challenging assignment that I enjoyed completing.
November 16, 2022
By Gabriel Caldato Barsotti ’23 MHA
Gabriel Caldato Barsotti ’23 MHA.
In my current internship, I am directly involved in a “provider-selection process” for nursing homes and healthcare agencies wishing to partner with Yale New Haven Health (YNHH). The Centers for Medicare & Medicaid Services (CMS) quality metrics rating is, for example, one criterion for the nursing homes and healthcare agencies to associate with YNHH. Facilities are expected to be above four stars to participate in the selection process.
One of the subtopics of quality metrics analyzed is abuse allegations. Usually, the abuse report is very subjective, describing a situation involving patients, caregivers, and the facility. These reports give you a general idea about one case, but they are hard to translate into more objective data.
In order to analyze the abuse report from an objective perspective, my supervisor and I discussed some strategies for translating descriptive statements into objective data that could be utilized as a part of a rating system. I found this task challenging but very interesting.
‘A tremendous opportunity for me’
After reading a few dozen abuse reports, I realized most of the abuse allegations resulted from either a specific flaw in the healthcare facility structure or from a clinical outcome that the patient or their family members did not anticipate. These variables can be measured in terms of "mild," "moderate," or "serious."
I created a “severity score toll” in a 3x3 matrix format. On the "Y" axis, we can classify the “unexpected patient outcome” as mild, moderate, or severe. On the ''X" axis, we can also rank the systematic facility issue as mild, moderate, or severe. The higher the final score, the more serious the allegations regarding the institution. This strategy serves as a screening process that allows us to identify certain institutions that need to undergo a serious evaluation regarding abuse allegations.
My direct supervisor has appreciated this scoring system, and I recently presented it to the entire project team, who analyzed it and gave me feedback. While it is still uncertain if this screening system will be permanently adopted by YNHH, the process of creating the scoring system was a tremendous opportunity for me to contribute directly to the project. It was also a pleasant assignment to complete.