Evidence map›Paper›PMID 17460129›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

A self-scaling, distributed information architecture for public health, research, and clinical care.

Andrew J McMurry, Clint A Gilbert, Ben Y Reis, Henry C Chueh, Isaac S Kohane, Kenneth D Mandl

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Cumulus: A federated EHR-based learning system powered by FHIR and AI.medRxiv : the preprint server for health sciences · 2024
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Federated queries of clinical data repositories: the sum of the parts does not equal the whole.Journal of the American Medical Informatics Association : JAMIA · 2013
    Article
  14. Patient-controlled sharing of medical imaging data across unaffiliated healthcare organizations.Journal of the American Medical Informatics Association : JAMIA · 2013
    Article
  15. Article
  16. An i2b2-based, generalizable, open source, self-scaling chronic disease registry.Journal of the American Medical Informatics Association : JAMIA · 2013
    Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors.

Andrew J McMurryChildren's Hospital Informatics Program at the Harvard-MIT Division of Health Sciences and Technology, 300 Longwood Ave., Enders Room 150, Boston, MA 02115, USA. amcmurry@chip.org
Clint A Gilbert
Ben Y Reis
Henry C Chueh
Isaac S Kohane
Kenneth D Mandl

Funding

VectorP30CA006516 · NCI · DANA-FARBER CANCER INSTITUTE · PI A. Heather Eliassen · 1985 to 2026
$330.6M
Disease Surveillance in Real Time: Geotemporal MethodsR01LM007677 · NLM · CHILDREN'S HOSPITAL BOSTON · PI MANDL, KENNETH D. · 2003 to 2009
$2.9M
RESEARCH SUPPORT SERVICES FOR UMLS METATHESAURUSN01LM033515 · NLM · LEXICAL TECHNOLOGY, INC. · PI TUTTLE, MARK S. · 1993 to 1997
–
NCI NIH HHS 5P30CA06516-40NCI NIH HHS P30 CA006516NLM NIH HHS 1 R01 LM007677-01NLM NIH HHS N01-LM-3-3515NLM NIH HHS R01 LM007677ODCDC CDC HHS P01 CD000260ODCDC CDC HHS P01 CD000260-01
6 · The paper itself

Abstract

objectiveThis study sought to define a scalable architecture to support the National Health Information Network (NHIN). This architecture must concurrently support a wide range of public health, research, and clinical care activities. STUDY

designThe architecture fulfils five desiderata: (1) adopt a distributed approach to data storage to protect privacy, (2) enable strong institutional autonomy to engender participation, (3) provide oversight and transparency to ensure patient trust, (4) allow variable levels of access according to investigator needs and institutional policies, (5) define a self-scaling architecture that encourages voluntary regional collaborations that coalesce to form a nationwide network.

resultsOur model has been validated by a large-scale, multi-institution study involving seven medical centers for cancer research. It is the basis of one of four open architectures developed under funding from the Office of the National Coordinator of Health Information Technology, fulfilling the biosurveillance use case defined by the American Health Information Community. The model supports broad applicability for regional and national clinical information exchanges.

conclusionsThis model shows the feasibility of an architecture wherein the requirements of care providers, investigators, and public health authorities are served by a distributed model that grants autonomy, protects privacy, and promotes participation.

Indexed as

Population SurveillancePublic Health InformaticsComputer Communication NetworksComputer SystemsDisease OutbreaksHumansInformation SystemsMedical Record LinkageMedical Records Systems, ComputerizedNational Health ProgramsSoftwareUnited States

Identifiers

PMID17460129
PMCPMC2244902

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.