Evidence map›Paper›PMID 26123904›Full record

ReviewYearbook of medical informatics2015

Patient-Centred Coordinated Care in Times of Emerging Diseases and Epidemics. Contribution of the IMIA Working Group on Patient Safety.

E Borycki, E Cummings, J W Dexheimer, Y Gong, S Kennebeck, A Kushniruk, C Kuziemsky, K Saranto, J Weber, H Takeda

Abstract readReview
In one paragraph

Review in Yearbook of medical informatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Clinical Information Systems - From Yesterday to Tomorrow.Yearbook of medical informatics · 2016
    Review
  10. 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

10 authors.

E BoryckiElizabeth Borycki, Health Information Science, University of Victoria, PO Box 1700 STN CSC, Victoria BC V8W 2Y2, Canada, E-Mail: emb@uvic.ca.
E Cummings
J W Dexheimer
Y Gong
S Kennebeck
A Kushniruk
C Kuziemsky
K Saranto
J Weber
H Takeda

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn this paper the researchers describe how existing health information technologies (HIT) can be repurposed and new technologies can be innovated to provide patient-centered care to individuals affected by new and emerging diseases.

methodsThe researchers conducted a focused review of the published literature describing how HIT can be used to support safe, patient-centred, coordinated care to patients who are affected by Ebola (an emerging disease).

resultsNew and emerging diseases present opportunities for repurposing existing technologies and for stimulating the development of new HIT innovation. Innovative technologies may be developed such as new software used for tracking patients during new or emerging disease outbreaks or by repurposing and extending existing technologies so they can be used to support patients, families and health professionals who may have been exposed to a disease. The paper describes the development of new technologies and the repurposing and extension of existing ones (such as electronic health records) using the most recent outbreak of Ebola as an example.

Indexed as

Electronic Health RecordsMedical InformaticsPatient-Centered CareCommunicable Diseases, EmergingEpidemicsHemorrhagic Fever, EbolaHumansPatient SafetyPopulation SurveillanceSystems IntegrationEbola viruselectronic health recordshealth information technologyPatient safetytechnological innovations

Identifiers

PMID26123904
PMCPMC4587040

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.