PathML tools for computational pathology
PathML objective is to lower the barrier to entry to digital pathology.
Examples:
PathML objective is to lower the barrier to entry to digital pathology.
Examples:
GPT4DFCI, a private, secure, HIPAA-compliant generative AI tool based on GPT-4, is now available to Dana-Farber workforce members to try out for work purposes, excluding clinical care.
To request access:
You can use this form to request reports/dashboards and data for all your analytics requests.
Team support email: COBA_Support@dfci.harvard.edu
To initiate a new report/dashboard, please fill out: Request Operational Report, Dashboard
Team Support Email: COBA_Support@dfci.harvard.edu
To request access, please fill out: Access Request Form
COBA facilitates data acquisition and definition of data structures, in partnership with other teams across Informatics and DFCI. The Enterprise Data Warehouse team and COBA have made joint efforts to link data from Peoplesoft, EPIC, Info-ed, OnCore, and more into integrated and easily queried views for DFCI users.
COBA routinely inventories the available data to understand which metrics are available in EPIC, DataSteward, EPSi, PeopleSoft, etc., and determine metrics that can be calculated by manipulating existing fields.
While both reports and dashboards present statistics, charts, and figures tailored to the needs of the user, they differ in their format. Reports are built as static PDFs and Excel spreadsheets, and are ideal for focused, single-use tasks with a shorter turnaround time.
Within DFCI, and at a state and federal level, the demand for data-driven care is growing exponentially. While the possibility for analytics infrastructure to support efficient, equitable, and high-quality care is exciting, incomplete or inconsistent implementation can create confusion and fatigue.