By WHAV Staff |
Haverhill School Committee member Paul A. Magliocchetti. (WHAV News file photograph.)
The chairman of the committee negotiating a new contract with education support professionals is disputing the union’s characterization of progress during current talks.
School Committee Member Paul A. Magliocchetti, who chairs the negotiating subcommittee which also includes member Toni Sapienza Donais, said Sunday that not only does the full School Committee value the support staff, it has offered a three-year compensation package. The proposal “will restructure positions, provides for a pay schedule that reflects the skills and responsibilities of the employee, meets the hourly living wage set by the HEA president and results in a 25% increase in the salary account for this group.”
Get the latest industry news first when you subscribe to our daily newsletter.
We will never sell or share your information without your consent. See our privacy policy.
Joe Schmid, Author at MedCity News medcitynews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from medcitynews.com Daily Mail and Mail on Sunday newspapers.
MedCity News
Providers look to predictive modeling to help rebuild finances in 2021
After a challenging 2020, health systems are looking to deploy strategies for recovery, especially to bolster financial health. One strategy health executives are considering is investing in predictive modeling technology that can help them manage patient demand and outcomes in the coming year.
Shares1
Fluctuating patient demand in the midst of a once-in-a-century pandemic made it hard for health systems to manage their finances in 2020. To help turn the financial tide this year, health executives are looking to invest in predictive modeling technology.
In fact, 74% of health executives responding to a PwC survey last August and September said their organizations would invest more in predictive modeling in the coming year, signaling their keen interest. These tools can be used in several ways, from predicting clinical outcomes to identifying patient preferences to enhancing provider workflows.