Evidence map›Paper›PMID 26338218›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2016

A case study in open source innovation: developing the Tidepool Platform for interoperability in type 1 diabetes management.

Aaron Neinstein, Jenise Wong, Howard Look, Brandon Arbiter, Kent Quirk, Steve McCanne, Yao Sun, Michael Blum, Saleh Adi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Article
  6. Building and Sustaining Open-Source Medical Device Projects.IEEE transactions on bio-medical engineering · 2025
    Review
  7. Review
  8. Review
  9. AGATA: A Toolbox for Automated Glucose Data Analysis.Journal of diabetes science and technology · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Establishment of the T1D Exchange Quality Improvement Collaborative (T1DX-QI).Clinical diabetes : a publication of the American Diabetes Association · 2020
    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

9 authors.

Aaron NeinsteinDepartment of Medicine and Center for Digital Health Innovation, University of California, San Francisco, CA, USA aaron.neinstein@ucsf.edu aneinstein@gmail.com.
Jenise WongDepartment of Pediatrics and Madison Clinic for Pediatric Diabetes, University of California, San Francisco, CA, USA.
Howard LookTidepool, Palo Alto, CA, USA.
Brandon ArbiterTidepool, Palo Alto, CA, USA.
Kent QuirkTidepool, Palo Alto, CA, USA.
Steve McCanneTidepool, Palo Alto, CA, USA.
Yao SunDepartment of Pediatrics, University of California, San Francisco, CA, USA.
Michael BlumDepartment of Medicine and Center for Digital Health Innovation, University of California, San Francisco, CA, USA.
Saleh AdiDepartment of Pediatrics and Madison Clinic for Pediatric Diabetes, University of California, San Francisco, CA, USA.

Funding

K12 In Diabetes (KIDS)K12DK094726 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GITELMAN, STEPHEN E · 2011 to 2015
$1.7M
Optimizing Patient Use of Devices and Data in Early Adolescents with Type 1 DiabetesK23DK107894 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WONG, JENISE C · 2015 to 2017
$586k
NIDDK NIH HHS DK094726NIDDK NIH HHS K23 DK107894
6 · The paper itself

Abstract

objectiveDevelop a device-agnostic cloud platform to host diabetes device data and catalyze an ecosystem of software innovation for type 1 diabetes (T1D) management. MATERIALS AND

methodsAn interdisciplinary team decided to establish a nonprofit company, Tidepool, and build open-source software.

resultsThrough a user-centered design process, the authors created a software platform, the Tidepool Platform, to upload and host T1D device data in an integrated, device-agnostic fashion, as well as an application ("app"), Blip, to visualize the data. Tidepool's software utilizes the principles of modular components, modern web design including REST APIs and JavaScript, cloud computing, agile development methodology, and robust privacy and security. DISCUSSION: By consolidating the currently scattered and siloed T1D device data ecosystem into one open platform, Tidepool can improve access to the data and enable new possibilities and efficiencies in T1D clinical care and research. The Tidepool Platform decouples diabetes apps from diabetes devices, allowing software developers to build innovative apps without requiring them to design a unique back-end (e.g., database and security) or unique ways of ingesting device data. It allows people with T1D to choose to use any preferred app regardless of which device(s) they use.

conclusionThe authors believe that the Tidepool Platform can solve two current problems in the T1D device landscape: 1) limited access to T1D device data and 2) poor interoperability of data from different devices. If proven effective, Tidepool's open source, cloud model for health data interoperability is applicable to other healthcare use cases.

Indexed as

SoftwareDiabetes Mellitus, Type 1HumansOwnershipSystems Integrationblood glucose self-monitoringcomputer-assisteddecision makingdiabetes mellitus type 1insulin infusion systemsmobile applications

Identifiers

PMID26338218
PMCPMC4784555

What OpenQuestion holds

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LicenceCC BY-NC
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.