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PAN Lab example

Eckerd Rapid Safety Feedback

Endorsed then evaluated: a risk tool that spread on a claim

Eckerd, a child-welfare nonprofit, built Rapid Safety Feedback to flag cases resembling past child deaths. It spread to several states before anyone independent tested it.

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Rapid Safety Feedback is a proprietary predictive tool built by Eckerd, a nonprofit child-welfare agency, with the analytics firm Mindshare Technology. It mines an agency's own case records to flag open cases whose features resemble past serious-injury and fatality cases. Quality-assurance reviewers receive the flags and coach frontline caseworkers on those cases, and no action is automated.

How it began

Eckerd became the lead child-welfare agency for Hillsborough County, Florida, in 2012. At the time it was called Eckerd Youth Alternatives, and also Eckerd Kids. It took over after at least eight children had died under the previous provider's supervision.

In January 2013 Eckerd launched Rapid Safety Feedback, built with the analytics firm Mindshare Technology. Eckerd later became Eckerd Connects.

What Eckerd reported

Eckerd reported that Hillsborough County had no child deaths from maltreatment over a period of about three years. It also reported that measures of case practice improved by about 22 percent on average.

Those figures were Eckerd's own, reported through the press. Eckerd itself said it did not claim the analytics caused them. Critics argued that no evidence tied the gains to the tool.

How it spread

On the strength of that reported success, agencies in several states adopted the tool. Each copy was tailored to the new place and matched against that place's own records.

In 2016 a report by the federal Commission to Eliminate Child Abuse and Neglect Fatalities highlighted the approach as "innovative", with a case study of Hillsborough. By then the tool was already in use across those states.

What the independent evaluation found

A peer-reviewed evaluation published in 2022 tested the process. Its authors were Parker, Williams, Pecora, and Despard, writing in the journal Child Abuse and Neglect. It found the process did not lower repeat high-severity maltreatment among children identified as high risk.

Its main result, a measure called an odds ratio, was about 1.05. An odds ratio compares the odds of an outcome between two groups. A ratio of 1 means no difference, so 1.05 means almost none. The case file calls it a joint odds ratio and does not say what it combines.

Why this case matters

This tool scaled on an endorsement and a claim no one had independently tested. The legitimacy behind its spread came from Eckerd's own before-and-after numbers and a federal commission's praise. It did not come from evidence that the tool changed outcomes.

The trap here is not a wrong number. It is a number everyone trusted because someone respectable repeated it.

Where it could have been governed

The chances to govern this deployment came before any dashboard. Procurement could have demanded documented, checkable performance claims. A sign-off could have asked "on what evidence?" before the next agency adopted the tool. A schedule of re-evaluation could have treated the launch endorsement as a question rather than an answer.

What this network is drawn from

This network follows the pattern the case file describes. It is not a reconstruction of the actual tool. It shows Rapid Safety Feedback, the quality-assurance reviewers, the frontline caseworkers, and the agency case records. The children and families served are outside the network.

What the available tools can and cannot address

A failure pathway is a link between two parts of the network where a mistake made by one part can be passed on to the other. Closing a pathway means mistakes stop passing along it. The work along it goes on.

This case has a budget of 11 units. Each tool costs the same at every target level, except Understand the system. It costs 3 units under Explore (No Targets) and Service Targets Only, and 4 under the two higher levels. While it is on, four other tools cost less.

Explore (No Targets) sets no targets. At the start, mistakes are copied about as fast as they are corrected. Service Targets Only asks for them to be caught faster than they are copied, and for Rapid Safety Feedback to be helping the work. It is helping at the start.

Escalate checks meets that level's targets on its own, for 2 units. So does Mark AI-written records, also for 2 units. In all, 799 different sets of tools within the budget meet them.

Service and Safety Targets also asks you to close every failure pathway, and to keep the work from falling behind demand. Five are open at the start. They are Flags sent to reviewers, Coaching results written to records, and Past serious cases set the pattern. The other two are Case history read in coaching and Tool copied to each new agency.

Four of these pathways each have exactly one tool that closes them. Escalate checks closes Flags sent to reviewers. Gate record entries closes Coaching results written to records. Check with a second model closes Tool copied to each new agency. Mark AI-written records closes Past serious cases set the pattern. It also closes Case history read in coaching, which Understand the system closes too.

Those four together cost 10 units and meet the targets. So do the same four with Mark AI-written records at its stronger setting, for 11 units. Adding Require sign-off, for 11 units, also meets them but changes nothing. No other set within the budget does.

All Governance Targets is not fully addressable with the available tools. That level also asks for Rapid Safety Feedback to be clearly helping the work, and sets a target on the deployment's environmental footprint. Within the budget, every set that closes all five pathways leaves the tool helping, but not clearly. More money does not change that. No set at any cost meets that level's targets, and adding tools leaves the tool helping less.

Using every tool on offer, each at its stronger setting, would cost 35 units, more than three times the budget. It closes every failure pathway. But Rapid Safety Feedback then adds too little to the work to meet the targets at any level that sets them.

Stylized model of a documented deploymentChild welfare & family services

Open this example in PAN Lab v0.1 to apply pressures and levers and watch what the system does.

What this models

This example runs on the RSF-origin-class spread-ahead-of-evidence risk tool network: 4 components and 11 pathways between them. Every context in the Lab is a stylized model, never a reconstruction of any actual deployment, and each assumption behind it carries a provenance label.

Evidence base: 3 assumed · 3 published baseline. In the Lab, the shaded evidence band behind each headline readout draws its width from the least-established class below.

Show all 6 assumptions
  • assumed

    This network follows the pattern the Eckerd Rapid Safety Feedback case file describes: a tool that spread before any independent evidence that it worked. It does not reconstruct the actual tool.

  • baseline

    The network assumes that one proprietary tool, copied and tailored to each new agency, gives each agency the same blind spots. The case file says it was copied from place to place without being tested again. The claim shown here comes from another case, Michigan's MiDAS unemployment system, where one rule set repeated one flaw across tens of thousands of cases.

  • baseline

    The network includes an independent test of the tool's claims, which no one ran before the tool spread. This case turns on that test. A peer-reviewed evaluation in 2022 found the process did not lower repeat high-severity maltreatment among children identified as high risk. Of the tools on offer, Check with a second model is the one that starts this test.

  • baseline

    The quality-assurance reviewers give caseworkers a second look at flagged cases, a supervisory second set of eyes. The sources describe the reviewers coaching caseworkers on flagged cases. They do not say the reviewers tested whether each flag was right. The 2022 evaluation in the case file measured whether the whole process improved outcomes.

  • assumed

    The network assumes each place's own past serious-injury and fatality cases shape which open cases the tool flags. That follows the case file's account that the tool mined each place's own records. The American Civil Liberties Union has warned that such tools can repeat an agency's past patterns.

  • assumed

    The network does not show different harm to different groups of children and families. The warning that tools built on past records can repeat past bias is general, not a measured disparity for this tool. Any such harm has to be measured outside a network like this one.

What this example does not show

Show all 1 limitation
  • This example does not show different harm to different groups of children and families. It shows how a mistake made by one part is passed on to another: the tool, the people who use it, and the records. The case file cites a general warning that tools built on past records can repeat past bias. That is not a measured disparity for this tool.

Sources and evidence

What this example rests on, claim by claim. Every entry resolves to the same ledger the Evidence Registry publishes.

  • Eckerd's Rapid Safety Feedback spread from Hillsborough County, Florida to child-welfare agencies in several states — promoted on the vendor's own reported gains and highlighted as “innovative” in a 2016 federal commission report — years before an independent 2022 peer-reviewed evaluation found the process did not lower repeat high-severity maltreatment among children identified as high risk (a joint odds ratio of about 1.05).

    empirical
    • Vendor Eckerd Connects, Eckerd Rapid Safety Feedback Highlighted in National Report of the Commission to Eliminate Child Abuse and Neglect Fatalities (2016) https://eckerd.org/eckerd-rapid-safety-feedback-highlighted-national-report-commission-eliminate-child-abuse-neglect-fatalities/
    • Trade press Route Fifty (Government Executive), Saving Children, One Algorithm at a Time (2016) https://www.route-fifty.com/digital-government/2016/07/saving-children-one-algorithm-at-a-time/299671/
    • Academic Parker, Williams, Pecora and Despard, Examining the Effects of the Eckerd Rapid Safety Feedback Process on Repeat Maltreatment (Child Abuse and Neglect, 2022) https://pubmed.ncbi.nlm.nih.gov/36044790/
    • Advocacy Florida's Children First, Eckerd Youth Alternatives Gets Child Protection Contract in Hillsborough County (2012) https://www.floridaschildrenfirst.org/eckerd-youth-alternatives-gets-child-protection-contract-in-hillsborough-county/
  • A single automated rule set applied uniformly and without human review produced tens of thousands of correlated wrongful fraud determinations in the documented Michigan MiDAS case — one flaw repeating at caseload scale rather than averaging out.

    empirical
    • Government Michigan AG, settlement of civil-rights class action (Bauserman, 2022) https://www.michigan.gov/ag/news/press-releases/2022/10/20/som-settlement-of-civil-rights-class-action-alleging-false-accusations-of-unemployment-fraud
    • Investigative IEEE Spectrum, Michigan's MiDAS unemployment system: Algorithm alchemy that created lead, not gold https://spectrum.ieee.org/michigans-midas-unemployment-system-algorithm-alchemy-that-created-lead-not-gold

Where this connects

Institutional pressures in this domain

  • Workload surge — Demand outruns staffing; per-case attention shrinks and review becomes triage.
  • Deadline pressure — Statutory or managerial timeliness rules reward fast approval of machine output over slow disagreement.
  • Staff turnover — Experienced skepticism leaves; new staff calibrate their trust on the tool itself.
  • Data & policy drift — The world, the intake process, and the rules change under a system trained on how things used to be — two mechanisms with different remedies: the statistical properties of what the system processes move (concept drift), or the mixture of inputs arriving in deployment differs from the mixture it was trained on (covariate shift).
  • Compliance over substance — Paper controls (sign-offs, checklists) satisfy audits while the behavior they describe erodes.

All of them in context on the Child welfare & family services domain page.

Levers available here and the patterns behind them

Documented case histories