Evidence map›Paper›PMID 41458858›Full record

ArticleCureus2025

Driving Transparency and Efficiency in Value-Based Care Through Bundled Episodes and Technology.

Amol Kodan

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

1 author.

Amol KodanPublic Health, Monroe University, New York City, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current healthcare system often feels confusing and fragmented for patients, with unclear costs, repeated tests, and delays in care. The traditional fee-for-service (FFS) model in healthcare, which reimburses providers for each individual service regardless of necessity or outcome, has long fostered inefficiencies, redundant testing, and administrative burden. This approach often leads to fragmented care, delayed diagnoses, and a breakdown in patient trust, especially when costs are unclear and care decisions lack transparency. In response, there has been a national shift toward value-based care (VBC) and episode-based alternative payment models (APMs), which aim to prioritize quality, coordination, and outcomes over volume. However, the success of these models hinges on one essential principle: transparency. This article explores how transparency, when applied at clinical, financial, and operational levels, can rebuild patient trust, reduce unnecessary procedures, and improve accountability across healthcare systems. The integration of advanced technologies, particularly artificial intelligence (AI), further enhances the scalability and effectiveness of transparency initiatives. This article advocates for a healthcare system where decisions are clear, billing is understandable, and care is coordinated, with transparency and technology working hand in hand to achieve lasting reform.

Indexed as

care coordinationepisode-based carehealthcare transparencypatient trustvalue-based care

Identifiers

PMID41458858
PMCPMC12740760

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.