Data model for personalized patient health guidelines: an exploratory study.

Mary McNamara, Karthik Sarma, Denise R Aberle, Alex A T Bui, Corey Arnold

Abstract read

In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Mary McNamaraDepartment of Bioengineering, University of California, Los Angeles.

Karthik SarmaDavid Geffen School of Medicine, University of California, Los Angeles.

Denise R AberleDepartment of Bioengineering, University of California, Los Angeles ; Medical Imaging Informatics, Department of Radiological Sciences, University of California, Los Angeles.

Alex A T BuiDepartment of Bioengineering, University of California, Los Angeles ; Medical Imaging Informatics, Department of Radiological Sciences, University of California, Los Angeles.

Corey ArnoldDepartment of Bioengineering, University of California, Los Angeles ; Medical Imaging Informatics, Department of Radiological Sciences, University of California, Los Angeles.

Funding

Medical Imaging Informatics Training GrantT32EB016640 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ALEX BUI, William Hsu · 2013 to 2026

$2.3M

RUMI: A patient portal for retrieving understandable medical informationR01LM011333 · NLM · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BUI, ALEX · 2012 to 2015

$1.3M

NIBIB NIH HHS T32 EB016640NLM NIH HHS R01 LM011333NLM NIH HHS T15 LM07536

6 · The paper itself

Abstract

Practitioner guidelines simultaneously provide broad overviews and in-depth details of disease. Written for experts, they are difficult for patients to understand, yet patients often use these guidelines as a source of information to help them to learn about their health. Using practitioner guidelines along with patient information needs and preferences, we created a method to design an information model for providing patients access to their personal health information, linked to individualized, relevant supporting information from guidelines within a patient portal. This model consists of twelve classes of concepts. We manually reviewed and annotated medical records to demonstrate the validity of our model. Each class of the model was found within at least one patient's record, and seven classes of concepts appeared in over half of the patients' records annotated. These annotations show that the model produced by the method can be used to determine what guideline information is relevant to an individual patient, based on concepts in their health information.

Indexed as

Electronic Health RecordsHealth Records, PersonalPractice Guidelines as TopicHumansPatient Education as Topic

Identifiers

PMID25954456

PMCPMC4419921

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.