Evidence map›Paper›PMID 41491566›Full record

ArticleJournal of the American Board of Family Medicine : JABFM

The Family Medicine Learning and Experience (FLEX) Lab: A Collaborative Approach to Advancing Clinical Care and Operations.

Margaret M Paul, Marc R Matthews, Gerry B Greaney, Deanne W Wallenstein, Jason D Greenwood, Tony Spaulding, Jon S Eckdahl, David R Rushlow

Abstract read
In one paragraph

Article in Journal of the American Board of Family Medicine : JABFM. 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. Women's Health, Social Issues, and Quality of Care in Family Medicine.Journal of the American Board of Family Medicine : JABFM
    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

8 authors.

Margaret M PaulFrom the Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Division of Health Care Delivery Research, Mayo Clinic, Phoenix, AZ (MMP, MRM); Mayo Clinic Family Medicine Department, Rochester, MN (MRM, JDG, TS, JSE); Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Division of Health Care Delivery Research, Mayo Clinic, Rochester, MN (GBG); Mayo Clinic Strategy Department, Rochester, MN (JSE). paul.margaret@mayo.edu.
Marc R MatthewsFrom the Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Division of Health Care Delivery Research, Mayo Clinic, Phoenix, AZ (MMP, MRM); Mayo Clinic Family Medicine Department, Rochester, MN (MRM, JDG, TS, JSE); Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Division of Health Care Delivery Research, Mayo Clinic, Rochester, MN (GBG); Mayo Clinic Strategy Department, Rochester, MN (JSE).
Gerry B GreaneyFrom the Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Division of Health Care Delivery Research, Mayo Clinic, Phoenix, AZ (MMP, MRM); Mayo Clinic Family Medicine Department, Rochester, MN (MRM, JDG, TS, JSE); Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Division of Health Care Delivery Research, Mayo Clinic, Rochester, MN (GBG); Mayo Clinic Strategy Department, Rochester, MN (JSE).
Deanne W WallensteinFrom the Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Division of Health Care Delivery Research, Mayo Clinic, Phoenix, AZ (MMP, MRM); Mayo Clinic Family Medicine Department, Rochester, MN (MRM, JDG, TS, JSE); Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Division of Health Care Delivery Research, Mayo Clinic, Rochester, MN (GBG); Mayo Clinic Strategy Department, Rochester, MN (JSE).
Jason D GreenwoodFrom the Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Division of Health Care Delivery Research, Mayo Clinic, Phoenix, AZ (MMP, MRM); Mayo Clinic Family Medicine Department, Rochester, MN (MRM, JDG, TS, JSE); Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Division of Health Care Delivery Research, Mayo Clinic, Rochester, MN (GBG); Mayo Clinic Strategy Department, Rochester, MN (JSE).
Tony SpauldingFrom the Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Division of Health Care Delivery Research, Mayo Clinic, Phoenix, AZ (MMP, MRM); Mayo Clinic Family Medicine Department, Rochester, MN (MRM, JDG, TS, JSE); Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Division of Health Care Delivery Research, Mayo Clinic, Rochester, MN (GBG); Mayo Clinic Strategy Department, Rochester, MN (JSE).
Jon S EckdahlFrom the Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Division of Health Care Delivery Research, Mayo Clinic, Phoenix, AZ (MMP, MRM); Mayo Clinic Family Medicine Department, Rochester, MN (MRM, JDG, TS, JSE); Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Division of Health Care Delivery Research, Mayo Clinic, Rochester, MN (GBG); Mayo Clinic Strategy Department, Rochester, MN (JSE).
David R RushlowFrom the Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Division of Health Care Delivery Research, Mayo Clinic, Phoenix, AZ (MMP, MRM); Mayo Clinic Family Medicine Department, Rochester, MN (MRM, JDG, TS, JSE); Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Division of Health Care Delivery Research, Mayo Clinic, Rochester, MN (GBG); Mayo Clinic Strategy Department, Rochester, MN (JSE).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe population in need of primary care is rapidly growing and increasingly complex with respect to chronic disease burden. We must develop alternative and more efficient approaches to managing patients if we are to increase access to care without sacrificing continuity; however, there is little guidance for innovation strategies at the practice level.

methodsThe Mayo Clinic Department of Family Medicine engaged in a 2-year multistage planning process to develop plans for the Family Medicine Learning and Experience (FLEX) Lab to identify opportunities for innovation to improve daily practice. The purpose of the FLEX Lab is to drive continuous advancements within the context of our health system with the goal of delivering high-quality care to a greater number of patients while working within the constraints of limited staffing.

resultsKey lessons from the planning stage led to the development of a contextualized, incremental, and continuous approach to design and innovation. In its first phase, the FLEX Lab implemented a set of interventions that were novel to the unit itself, including nurse-led hypertension management, task-shifting rooming responsibilities, incorporating telehealth visits into routine clinician schedules, and ambient documentation to replace clinician-generated visit notes. We present a description of the overall FLEX Lab approach including early-stage findings and future work.

conclusionsThe FLEX Lab is an adaptable and generalizable example of how health systems can strategically implement practice improvements informed by real-time input from clinicians and staff to support continuous and phased evolution.

Indexed as

Family PracticePrimary Health CareCooperative BehaviorHumansQuality ImprovementChronic DiseaseFamily MedicineHealth Services AccessibilityOrganizational InnovationPreventive CarePrimary Health CareTelemedicine

Identifiers

PMID41491566
PMCPMC12978610

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.