Evidence map›Paper›PMID 41726533›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2024

Design and Evaluation of EMPATHICA: A Chatbot for Enhancing Medication Literacy.

Yuri Quintana, Katherine Bloom, Gyana Srivastava, Ava Homiar, Annlouise Assaf, Glenda Thomas, Elizabeth Lowe, David Hampton, Viola Wontor

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2024. 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

9 authors.

Yuri QuintanaHarvard Medical School, Boston, Massachusetts, USA.
Katherine BloomDivision of Clinical Informatics, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Gyana SrivastavaDivision of Clinical Informatics, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Ava HomiarDivision of Clinical Informatics, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Annlouise AssafPfizer Inc., London, England.
Glenda ThomasBIDMC Patient and Family Advisory Committee, Boston, Massachusetts, USA.
Elizabeth LoweBIDMC Patient and Family Advisory Committee, Boston, Massachusetts, USA.
David HamptonTakeda Pharmaceuticals, Cambridge, Massachusetts, USA.
Viola WontorPfizer Inc., London, England.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health literacy significantly impacts patient outcomes, yet many struggle to understand complex medication information. Medication non-adherence often results from poor comprehension of drug instructions and contributes to preventable hospitalizations and poor treatment outcomes. With the increasing use of digital health interventions, AI-powered chatbots present an opportunity to improve patient access to understandable and personalized medication information. This study evaluates the usability, accessibility, and effectiveness of EMPATHICA, an AI-powered chatbot designed to provide patient-centric medication information. The study assesses whether chatbot-generated responses improve patient comprehension and engagement. The research observed the interaction between participants and the web-based application, where participants asked the chatbot to measure the chatbot's usability and accuracy using various qualitative and quantitative measures and expert physician evaluation of the responses. AI-driven chatbots have the potential to bridge health literacy gaps by providing clear and accessible medication information. By evaluating EMPATHICA, this study contributes to the growing field of AI applications supporting patient-informed medication use.

Indexed as

Artificial IntelligenceHealth LiteracyPatient Education as TopicDigital HealthHumansIntelligent SystemsInternetChatbotHealth literacyMedication adherencePatient Education

Identifiers

PMID41726533
PMCPMC12919623

What OpenQuestion holds

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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.