Evidence map›Paper›PMID 27920271›Full record

ArticleJournal of diabetes science and technology2017

The Need for a Privacy Standard for Medical Devices That Transmit Protected Health Information Used in the Precision Medicine Initiative for Diabetes and Other Diseases.

David C Klonoff, W Nicholson Price

Abstract read
In one paragraph

Article in Journal of diabetes science and technology, 2017. 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
–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

2 citing papers in PubMed.

  1. Review
  2. Overcoming Barriers to Adoption of Digital Health Tools for Diabetes.Journal of diabetes science and technology · 2018
    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

2 authors.

David C Klonoff1 Diabetes Research Institute; Mills-Peninsula Health Services, San Mateo, CA, USA.
W Nicholson Price2 University of Michigan Law School, Ann Arbor, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Privacy is an important concern for the Precision Medicine Initiative (PMI) because success of this initiative will require the public to be willing to participate by contributing large amounts of genetic/genomic information and sensor data. This sensitive personal information is intended to be used only for specified research purposes. Public willingness to participate will depend on the public's level of trust that their information will be protected and kept private. Medical devices may constantly provide information. Therefore, assuring privacy for device-generated information may be essential for broad participation in the PMI. Privacy standards for devices should be an important early step in the development of the PMI.

Indexed as

Diabetes MellitusComputer SecurityConfidentialityHumansPrecision MedicinePrivacyUnited StatesdiabetesHIPAAprecision medicineprivacyprotected health informationsecuritystandard

Identifiers

PMID27920271
PMCPMC5478037

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.