Evidence map›Paper›PMID 34751656›Full record

ArticleJournal of medical Internet research2021

Sensor Data Integration: A New Cross-Industry Collaboration to Articulate Value, Define Needs, and Advance a Framework for Best Practices.

Ieuan Clay, Christian Angelopoulos, Anne Lord Bailey, Aaron Blocker, Simona Carini, Rodrigo Carvajal, David Drummond, Kimberly F McManus, Ingrid Oakley-Girvan, Krupal B Patel and 2 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Article
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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

12 authors.

Ieuan ClayDigital Medicine Society (DiMe), Boston, MA, United States.ORCID 0000-0001-9722-8834
Christian AngelopoulosHumanFirst, San Fransisco, CA, United States.ORCID 0000-0002-0632-7501
Anne Lord BaileyDepartment of Veterans Affairs, Washington, DC, United States.ORCID 0000-0002-0297-8032
Aaron BlockerSavvy Cooperative, Queens, NY, United States.ORCID 0000-0002-7670-8481
Simona CariniUniversity of California San Francisco, San Francisco, CA, United States.ORCID 0000-0002-4054-9458
Rodrigo CarvajalH Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States.ORCID 0000-0002-7607-8272
David DrummondEvidation Health, San Mateo, CA, United States.ORCID 0000-0001-9495-3686
Kimberly F McManusDepartment of Veterans Affairs, Washington, DC, United States.ORCID 0000-0002-3970-8204
Ingrid Oakley-GirvanMedable, San Fransisco, CA, United States.ORCID 0000-0003-0328-921X
Krupal B PatelH Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States.ORCID 0000-0002-2285-0386
Phillip SzepietowskiH Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States.ORCID 0000-0001-5525-6132
Jennifer C GoldsackDigital Medicine Society (DiMe), Boston, MA, United States.ORCID 0000-0003-0461-0183

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data integration, the processes by which data are aggregated, combined, and made available for use, has been key to the development and growth of many technological solutions. In health care, we are experiencing a revolution in the use of sensors to collect data on patient behaviors and experiences. Yet, the potential of this data to transform health outcomes is being held back. Deficits in standards, lexicons, data rights, permissioning, and security have been well documented, less so the cultural adoption of sensor data integration as a priority for large-scale deployment and impact on patient lives. The use and reuse of trustworthy data to make better and faster decisions across drug development and care delivery will require an understanding of all stakeholder needs and best practices to ensure these needs are met. The Digital Medicine Society is launching a new multistakeholder Sensor Data Integration Tour of Duty to address these challenges and more, providing a clear direction on how sensor data can fulfill its potential to enhance patient lives.

Indexed as

Data CollectionDelivery of Health CareHumansTechnologydata integrationdigital measurespatient centricityutility

Identifiers

PMID34751656
PMCPMC8663457

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.