Generating Clinical Models for Analyzing Big Data in Nursing Home Residents (March 2023)

Generating Clinical Models for Analyzing Big Data in Nursing Home Residents

The goal of the session is to explore the importance of clinical input in data analysis. This session will begin with a lecture that will compare variable selection methods for different statistical models including, regression analysis and machine learning. The session will explore clinical prediction modeling to help minimize preventable emergency department transfers.

Learning Objectives:

At the completion of this session, learners will be able to:

  • Identify the gaps in current statistical model-building approaches.
  • Introduce clinically and statistically driven regression models.
  • Discuss ways to improve transitions of care using these tools.
  • Learn how to independently develop a clinically driven statistical model.

Komal Aryal, MSc

Komal Aryal, MSc, is a PhD student in the Health Research Methodology program at McMaster University. Her research focuses on employing statistical analysis and machine learning methods on big data to improve outcomes for nursing home residents.

  • 0.25 CME
  • 0.25 CMD Management
  • 0.25 MOC

Release Date: 03/29/2023   |   Expiration: 03/01/2026

Credit Statements:

Accreditation: Post-Acute and Long-Term Care Medical Association is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. 

CME Designation: Post-Acute and Long-Term Care Medical Association designates this enduring material for a maximum of 0.25 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

CMD Credit Hours: This CME activity has been pre-approved by the American Board of Post-Acute and Long-Term Care Medicine (ABPLM) for up to 0.25 management hours toward certification or recertification as a Certified Medical Director (CMD) in post-acute and long-term care medicine. Each physician should claim only those hours of credit actually spent on the activity.

The CMD Program is administered by the ABPLM. Each physician should claim only those credit hours that he/she actually spent in the activity. For further information, contact ABPLM at 410-992-3117 or at cmd@paltmed.org.

ABIM Maintenance of Certification (MOC): Successful completion of this CME activity, which includes participation in the evaluation component, enables the participant to earn up to 0.25 Medical Knowledge MOC points and patient safety credit in the American Board of Internal Medicine’s (ABIM) Maintenance of Certification (MOC) program.

Participants will earn MOC points equivalent to the amount of CME credits claimed for the activity. It is the CME activity provider’s responsibility to submit participant completion information to ACCME for the purpose of granting ABIM MOC credit.


Financial Disclosure Statement:

The Association requires the disclosure of all speaker/faculty/planner’s relevant financial relationships; presence of off-label use of a device or medication; and discussion of any experimental, new or evolving topic prior to each accredited education activity.

If the learner perceives any bias toward a commercial product or service, advocation of unscientific approaches to diagnosis or therapy, or recommendation, treatment, or manners of practicing healthcare that are determined to have risks or dangers that outweigh the benefits or are known to be ineffective in the treatment of patients please report this to the Association's staff.


The following speaker(s) disclosed relevant financial relationship(s): 

  • Julie Gammack, MD, CMD (Planner & Speaker): Stockholder: Amarin
  • Kenya Rivas Velasquez, MD, CMD, FAAFP (Planner & Speaker): OptumRx: Stockholder
  • All other planners, speakers, and AMDA staff have no relationships with ineligible companies.

All relevant financial relationships have been identified and mitigated.

Components visible upon registration.