Right of Long-Term Care Residents/Tenants to Participate in Research Studies, November 12, 2015

Explanation of the right of Long-Term Care residents or tenants to participate in research studies. Includes the guidelines for participation.

Returning to the Community, February 29, 2015

Explanation of options and right to information about returning to the community after being in a facility.

Returning to the Community, August 2, 2016

Updated information regarding options & right to information about returning to the community after a stay in a facility.

Office of the State Long-Term Care Ombudsman Visitation & Powers of Attorney memo, February 25, 2013

Explanation of residents' & tenants' rights & Durable Power of Attorney for Health Care

Long-Term Care: An Emotional Journey for Family Members, May 18, 2015

Explanation of moving a loved one to a long-term care facility. Fact sheet designed to discuss some of the common emotions a caregiver may experience when moving a loved one into a long-term care facility & provide some suggestions for dealing with those feelings

Health Care Power of Attorney FAQ, May 28, 2015

Health Care Power of Attorney questions and answers on common questions.

SHIIP Nursing Facility Notice, June 29, 2012

Important information about drug coverage for Nursing Home residents on Medicare

Eligibility to Qualify for Medicaid nursing facility, September 19, 2013

Communique regarding qualifying for Medicaid nursing facility, income, and Miller Trust. Also includes references.

Can my mom have a private nursing home room even though she depends on Medicaid funding? August 22, 2013

Information on qualifying for a private nursing home room if on Medicaid funding

Nursing Facility MDS Section Q Informational Sheet, February 21, 2014

Information regarding Section Q - referrals and when appropriate

The Advocate Newsletter, November 2, 2015

State Long-Term Care Ombudsman reports of success of Residents' Right month activities. OSLTCO welcomes staff into two newly created positions to oversee Medicaid Managed Care. The importance of case activity report for long-term care facilities. Governor's Conference on Aging & disabilities call for sessions

Can I still qualify for Medicaid nursing facility eligibility if my income is more than the allowed $2,130 per month? September 19, 2013

A Miller Trust is an irrevocable trust established on or before August 10, 1993, for the benefit of an individual and is used to help pay the cost of nursing facility care. The person residing in the nursing facility is designated as the beneficiary, and after the beneficiary’s death, all remaining amounts, up to the amount of Medicaid paid for the beneficiary, are paid to the State, the residuary beneficiary. Once a trust is established, a bank account for monies associated with the trust can be opened. Only certain funds, including the beneficiary’s earned and unearned income, can be deposited into the Miller Trust account. A trustee, usually a spouse or family member, is the person who administers the trust and pays out money.

Nursing Home: Residents on Medicare, November 4, 2013

Important Information About Drug Coverage For Nursing Home Residents on Medicare. While you live in a nursing home you can enroll in, or change, Medicare drug plans at ANY TIME with SHIIP help.

Your Guide to Choosing a Nursing Home, March 2014

This booklet explains how to find and compare nursing homes and other long-term care options; how to pay for nursing home care; your rights as a nursing home resident and alternatives to nursing home care. Not all nursing homes are certified to participate in Medicare or Medicaid.

Probability and Common-Sense: Tandem Towards Robust Robotic Object Recognition in Ambient Assisted Living

The suitable operation of mobile robots when providing Ambient Assisted Living (AAL) services calls for robust object recognition capabilities. Probabilistic Graphical Models (PGMs) have become the de-facto choice in recognition systems aiming to e ciently exploit contextual relations among objects, also dealing with the uncertainty inherent to the robot workspace. However, these models can perform in an inco herent way when operating in a long-term fashion out of the laboratory, e.g. while recognizing objects in peculiar con gurations or belonging to new types. In this work we propose a recognition system that resorts to PGMs and common-sense knowledge, represented in the form of an ontology, to detect those inconsistencies and learn from them. The utilization of the ontology carries additional advantages, e.g. the possibility to verbalize the robot's knowledge. A primary demonstration of the system capabilities has been carried out with very promising results.