Evidence map›Paper›PMID 42694539›Full record

ArticleJournal of patient experience2026

Reclaiming the Human Connection in Clinical Care With AI.

James A Colbert

Abstract read
In one paragraph

Article in Journal of patient experience, 2026. 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

1 author.

James A ColbertCommure, Inc, Mountain View, CA.ORCID https://orcid.org/0009-0007-8372-8441

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The patient-provider relationship is becoming increasingly fractured, with many clinicians overwhelmed by administrative tasks and patients often feeling unheard. Often missing from clinical care is what this author has termed "human connection" which refers to the relational quality of encounters characterized by active listening, eye contact, empathic responsiveness, shared decision-making, and the patient's sense of being seen and understood by their provider. While the electronic health record is often viewed as a cause of this disconnect, artificial intelligence (AI) offers a meaningful opportunity to help restore that bond. By automating clerical tasks such as documentation, inbox management, and care navigation, AI can help providers reclaim the time and cognitive space necessary for empathetic, human-centered care. This article draws on both the published evidence and the author's own experience to examine the impact ambient and agentic AI can have on the clinical experience for both patients and providers while also acknowledging the risks of AI and the necessary safeguards for using AI in a clinical environment. When deployed with care and oversight, AI can allow clinicians to reclaim the human connection that is at the core of the care experience.

Indexed as

artificial intelligenceclinician-patient relationshippatient experiencetechnology

Identifiers

PMID42694539
PMCPMC13539002

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.