Arkansas ARChoices RUGs resource allocation

May 2018
Updated: March 2022

A US circuit judge has ordered that Arkansas authorities stop using a controversial algorithm to assign weekly home care hours for disabled and elderly people.

Until January 2016, The Arkansas Department of Human Services (DHS) had relied upon nurses to assess home and community care eligibility using a lengthy questionnaire called ARPath.

In January 2016 DHS moved to ARChoices, an algorithmic system that handled both types of care by sorting people into twenty-three so-called resource utilization groups ('RUGs').

The DHS argued the RUGs algorithm was fairer, more objective, and less costly tool. And while some patients seemed to benefit from the new system, 47% discovered their weekly allotment of hours had decreased, sometimes significantly, resulting in poorer health and mental health amongst those impacted.

The change also had major financial ramifications for some patients, notably those with serious disabilities such as cerebral palsy.

Legal and operational opacity

With the DHS unwilling to update its algorithm, explain how it worked, or give independent experts access to its data, code or model, seven patients sued the department.

Represented by Legal Aid of Arkansas, the patients won their case on the basis that the DHS had failed to give them adequate notice of the change of system and that their benefits may fall.

However, the judge's decision that the DHS stop using the new algorithm, listen to external stakeholders and undergo a legislative review process was appealed on the basis that emergency rule-making was required to ensure the programme's continuity.

The manoeuvre was described by the judge as 'a manufactured emergency'.

In 2018, Arkansas replaced RUGs with the ARIA system.

Operator: Arkansas Department of Human Services; Center for Information Management
Developer:
University of Michigan; Brant Fries
Country:
USA
Sector:
Govt - welfare; Govt - health
Purpose:
Assess care resource requirements
Technology: Resource allocation algorithm
Issue:
Accuracy/reliability; Bias/discrimination - disability, age
Opacity:
Governance; Complaints/appeals; Black box; Legal

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