Evidence map›Paper›PMID 32969000›Full record

ArticleApplied clinical informatics2020

Empowering Caseworkers to Better Serve the Most Vulnerable with a Cloud-Based Care Management Solution.

Jane L Snowdon, Barbie Robinson, Carolyn Staats, Kenneth Wolsey, Megan Sands-Lincoln, Thomas Strasheim, David Brotman, Katie Keating, Elizabeth Schnitter, Gretchen Jackson and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Applied clinical informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. A Systematic Review of Electronic Community Resource Referral Systems.American journal of preventive medicine · 2023
    Pooled it
  2. Article
  3. The Future of the Psychiatrist.Psychiatric research and clinical practice · 2025
    Article
  4. Article
  5. Article
  6. Review
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Jane L SnowdonCenter for Artificial Intelligence, Research and Evaluation, IBM Watson Health, Cambridge, Massachusetts, United States.
Barbie RobinsonDepartment of Health Services, County of Sonoma, California, United States.
Carolyn StaatsDepartment of Health Services, County of Sonoma, California, United States.
Kenneth WolseyCognitive and Analytics Practice, IBM Global Business Services, San Diego, California, United States.
Megan Sands-LincolnCenter for Artificial Intelligence, Research and Evaluation, IBM Watson Health, Cambridge, Massachusetts, United States.
Thomas StrasheimIBM Cloud and Cognitive Software, IBM Watson Health (retired), Denver, Colorado, United States.
David BrotmanCenter for Artificial Intelligence, Research and Evaluation, IBM Watson Health, Cambridge, Massachusetts, United States.
Katie KeatingCenter for Artificial Intelligence, Research and Evaluation, IBM Watson Health, Cambridge, Massachusetts, United States.
Elizabeth SchnitterCenter for Artificial Intelligence, Research and Evaluation, IBM Watson Health, Cambridge, Massachusetts, United States.
Gretchen JacksonCenter for Artificial Intelligence, Research and Evaluation, IBM Watson Health, Cambridge, Massachusetts, United States.
William KasslerCenter for Artificial Intelligence, Research and Evaluation, IBM Watson Health, Cambridge, Massachusetts, United States.
IBM (United States) · USCounty of Sonoma Department of Health Services · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCare-management tools are typically utilized for chronic disease management. Sonoma County government agencies employed advanced health information technologies, artificial intelligence (AI), and interagency process improvements to help transform health and health care for socially disadvantaged groups and other displaced individuals.

objectivesThe objective of this case report is to describe how an integrated data hub and care-management solution streamlined care coordination of government services during a time of community-wide crisis.

methodsThis innovative application of care-management tools created a bridge between social and clinical determinants of health and used a three-step approach-access, collaboration, and innovation. The program Accessing Coordinated Care to Empower Self Sufficiency Sonoma was established to identify and match the most vulnerable residents with services to improve their well-being. Sonoma County created an Interdepartmental Multidisciplinary Team to deploy coordinated cross-departmental services (e.g., health and human services, housing services, probation) to support individuals experiencing housing insecurity. Implementation of a data integration hub (DIH) and care management and coordination system (CMCS) enabled integration of siloed data and services into a unified view of citizen status, identification of clinical and social determinants of health from structured and unstructured sources, and algorithms to match clients across systems.

resultsThe integrated toolset helped 77 at-risk individuals in crisis through coordinated care plans and access to services in a time of need. Two case examples illustrate the specific care and services provided individuals with complex needs after the 2017 Sonoma County wildfires.

conclusionUnique application of a care-management solution transformed health and health care for individuals fleeing from their homes and socially disadvantaged groups displaced by the Sonoma County wildfires. Future directions include expanding the DIH and CMCS to neighboring counties to coordinate care regionally. Such solutions might enable innovative care-management solutions across a variety of public, private, and nonprofit services.

Indexed as

Cloud ComputingPatient Care ManagementPower, PsychologicalArtificial IntelligenceHealth ServicesHumansResidence Characteristics

Identifiers

PMID32969000
PMCPMC7511266
OpenAlexW3087776077

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.