ResidencyCAS

ResidencyCAS stands at the forefront of medical residency applications, offering cost savings, enhanced data privacy, advanced analytics, and superior support. With a mission-driven approach, it ensures that each specialty maintains control over its future initiatives while leveraging state-of-the-art technology to advance GME. Advantage

Cost Reduction for Applicants ResidencyCAS provides significant fee relief for applicants. In 2024-2025, the carefully designed ResidencyCAS fee structure resulted in a total applicant savings across the OB/GYN specialty of over $550,000 in application fees. The Emergency Medicine specialty is projected to save over $400,000 in total for their applicants. In addition, ResidencyCAS provides a Fee Waiver Program for the first 18 applications to all eligible applicants, including all applicants who received a fee waiver when applying to medical school and all applicants who can demonstrate financial eligibility during their medical school years. Proven Expertise ResidencyCAS is developed and managed by Liaison, a leader in health professions application services. The platform is supported by a 500-member team with deep expertise in: • Data science. • Health professions and higher education. • Advanced technology and data-driven solutions. communities. With the extensive experience supporting health professions, ResidencyCAS empowers each specialty to: • Drive innovative initiatives that align with their mission. • Utilize cutting-edge technology and data-driven insights to enhance GME. • Maintain autonomy in shaping the future of their respective fields. Reinvestment in Graduate Medical Education ResidencyCAS recognizes that specialties are best positioned to facilitate innovations that serve their Holistic Review Process ResidencyCAS supports a transparent, research-based holistic review model developed by Liaison’s Data Science team, Othot. Each specialty tailors their approach and implementation, ensuring: • Programs can align applicants with their selection criteria, considering academic qualifications, experiences, and attributes. • A customizable, mission-driven approach to evaluating candidates.

Unparalleled Customer Support ResidencyCAS is backed by an experienced team with decades of expertise in supporting over 30 centralized application services (CAS) across the health professions. Applicants, medical schools, and residency programs benefit from comprehensive, omnichannel support, including: • Live phone support (9 a.m.-8 p.m. EST), with average wait time under one minute in the 2024-2025 cycle. • 24/7 email and chat support for continuous assistance. • Dedicated one-on-one training for residency programs to ensure seamless onboarding and readiness. Ethical and Responsible Use of AI ResidencyCAS is committed to ethical AI implementation, ensuring: • Full transparency in system design and functionality. • AI usage is specialty-driven, with oversight from specialty leadership and input from focus groups. • Strict data privacy protection, ensuring compliance with regulations. Specialty Data & Analytics ResidencyCAS provides comprehensive data reporting and visualization tools to residency programs, sponsoring institutions, and medical schools. In addition, each specialty benefits from: • Customized aggregate data reports to support advocacy efforts. • Trend analysis and forecasting tools to guide future decision making. Data Ownership With over 25 years of experience developing health professions application services, ResidencyCAS recognizes that each specialty is best positioned to advocate for its own unique mission and goals. Specialty organizations retain full ownership of their data, ensuring they can monitor trends and make informed decisions. ResidencyCAS guarantees that: • Applicant data is not used for research, product development, or distribution without the explicit consent of the specialty. • Specialties remain the sole custodians of their data, ensuring privacy and strategic autonomy.

4

5

liaisonedu.com

Made with FlippingBook Digital Proposal Creator