Evidence map›Paper›PMID 34073262›Full record

ArticleInternational journal of environmental research and public health2021

An Agile Digital Platform to Support Population Health-A Case Study of a Digital Platform to Support Patients with Delirium Using IoT, NLP, and AI.

Mohan R Tanniru, Nimit Agarwal, Amanda Sokan, Salim Hariri

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.7field-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

2 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 2 institutions in 1 country.

Mohan R TanniruMel and Enid Zuckerman College of Public Health, University of Arizona, Phoenix, AZ 85004, USA.
Nimit AgarwalDepartment of Internal Medicine, Banner University Medical Center, University of Arizona, Phoenix, AZ 85004, USA.
Amanda SokanMel and Enid Zuckerman College of Public Health, University of Arizona, Phoenix, AZ 85004, USA.
Salim HaririCollege of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721, USA.
University of Arizona · USBanner - University Medical Center Tucson · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For an organization to be customer centric and service oriented requires that it use each encounter with a customer to create value, leverage advanced technologies to design digital services to fulfill the value, and assess perceived value-in-use to continue to revise the value as customer expectations evolve. The adaptation of value cycles to address the rapid changes in customer expectations requires agile digital platforms with dynamic software ecosystems interacting with multiple actors. For public health agencies focused on population health, these agile digital platforms should provide tailored care to address the distinct needs of select population groups. Using prior research on aging and dynamic software ecosystems, this paper develops a template for the design of an agile digital platform to support value cycle activities among clinical and non-clinical actors, including population groups. It illustrates the design of an agile digital platform to support clients that suffer from delirium, using digital services that leverage Internet of Things, natural language processing, and AI that uses real-time data for learning and care adaption. We conclude the paper with directions for future research.

Indexed as

DeliriumPopulation HealthArtificial IntelligenceEcosystemHumansSoftwareagile digital platformdelirium patient caredigital healthdynamic software ecosystemspopulation healthvalue cycles

Identifiers

PMID34073262
PMCPMC8198835
OpenAlexW3164580315

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.