Evidence map›Paper›PMID 38388174›Full record

ArticleApplied clinical informatics2024

PillHarmonics: An Orchestrated Pharmacogenetics Medication Clinical Decision Support Service.

Robert H Dolin, Edna Shenvi, Carla Alvarez, Randolph C Barrows, Aziz Boxwala, Benson Lee, Brian H Nathanson, Yelena Kleyner, Rachel Hagemann, Tonya Hongsermeier and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Applied clinical informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.3field-weighted citation impact, top 14% of its field
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

5 citing papers in PubMed, 5 citations in OpenAlex.

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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

13 authors at 5 institutions in 1 country.

Robert H DolinElimu Informatics, El Cerrito, California, United States.
Edna ShenviElimu Informatics, El Cerrito, California, United States.
Carla AlvarezElimu Informatics, El Cerrito, California, United States.
Randolph C BarrowsElimu Informatics, El Cerrito, California, United States.
Aziz BoxwalaElimu Informatics, El Cerrito, California, United States.
Benson LeeCollege of Pharmacy, Touro University California, Vallejo, California, United States.
Brian H NathansonOptiStatim, LLC, Longmeadow, Massachusetts, United States.
Yelena KleynerElimu Informatics, El Cerrito, California, United States.
Rachel HagemannIndependent Contractor, San Francisco, California, United States.
Tonya HongsermeierElimu Informatics, El Cerrito, California, United States.
Joan Kapusnik-UnerFirst Databank, San Francisco, California, United States.
Adnan LakdawalaElimu Informatics, El Cerrito, California, United States.
James ShalabyElimu Informatics, El Cerrito, California, United States.
Electronics for Imaging (United States) · USFirst Data (United States) · USIndependent Sector · USOptim Design (United States) · USTouro University California · US

Funding

PillHarmonics: An Orchestrated Medication Clinical Decision Support ServiceR43HG011832 · NHGRI · ELIMU INFORMATICS, INC. · PI SHALABY, JAMES · 2022 to 2022
$275k
NHGRI NIH HHS NHGRI 1R43HG011832-01A1 : PillHarmonics: An OrchesNHGRI NIH HHS R43 HG011832
6 · The paper itself

Abstract

objectivesPharmacogenetics (PGx) is increasingly important in individualizing therapeutic management plans, but is often implemented apart from other types of medication clinical decision support (CDS). The lack of integration of PGx into existing CDS may result in incomplete interaction information, which may pose patient safety concerns. We sought to develop a cloud-based orchestrated medication CDS service that integrates PGx with a broad set of drug screening alerts and evaluate it through a clinician utility study.

methodsWe developed the PillHarmonics service for implementation per the CDS Hooks protocol, algorithmically integrating a wide range of drug interaction knowledge using cloud-based screening services from First Databank (drug-drug/allergy/condition), PharmGKB (drug-gene), and locally curated content (drug-renal/hepatic/race). We performed a user study, presenting 13 clinicians and pharmacists with a prototype of the system's usage in synthetic patient scenarios. We collected feedback via a standard questionnaire and structured interview.

resultsClinician assessment of PillHarmonics via the Technology Acceptance Model questionnaire shows significant evidence of perceived utility. Thematic analysis of structured interviews revealed that aggregated knowledge, concise actionable summaries, and information accessibility were highly valued, and that clinicians would use the service in their practice.

conclusionMedication safety and optimizing efficacy of therapy regimens remain significant issues. A comprehensive medication CDS system that leverages patient clinical and genomic data to perform a wide range of interaction checking and presents a concise and holistic view of medication knowledge back to the clinician is feasible and perceived as highly valuable for more informed decision-making. Such a system can potentially address many of the challenges identified with current medication-related CDS.

Indexed as

Decision Support Systems, ClinicalPharmacogeneticsCloud ComputingHumans

Identifiers

PMID38388174
PMCPMC11098593
OpenAlexW4392774367

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.