Evidence map›Paper›PMID 28446422›Full record

SynthesisJournal of medical Internet research2017

Web-Based Medical Appointment Systems: A Systematic Review.

Peng Zhao, Illhoi Yoo, Jaie Lavoie, Beau James Lavoie, Eduardo Simoes

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
15.6field-weighted citation impact, top 1% 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

66 citing papers in PubMed, 194 citations in OpenAlex.

  1. Online Scheduling and the Digital Front Door to Unequal Care.Journal of medical Internet research · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Intelligent Patient Appointment Schedules.Healthcare (Basel, Switzerland) · 2026
    Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Using mHealth to Support Queensland Mothers and Children From Birth to Two Years: A Longitudinal Study of Connecting2u.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Observational

6 more citing papers are in PubMed but not listed here.

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

5 authors at 4 institutions in 1 country.

Peng ZhaoInformatics Institute, University of Missouri, Columbia, MO, United States.ORCID 0000-0003-3940-7441
Illhoi YooInformatics Institute, University of Missouri, Columbia, MO, United States.ORCID 0000-0003-2536-3660
Jaie LavoieVizient, Center for Advanced Analytics & Informatics, Chicago, IL, United States.ORCID 0000-0001-7775-9451
Beau James LavoieTrinity Health, Livonia, MI, United States.ORCID 0000-0002-4962-0791
Eduardo SimoesInformatics Institute, University of Missouri, Columbia, MO, United States.ORCID 0000-0003-4371-4305
University of Missouri Health System · USEP Analytics (United States) · USTrinity Health · USUniversity of Missouri · US

Funding

Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
NIDDK NIH HHS P30 DK092950
6 · The paper itself

Abstract

backgroundHealth care is changing with a new emphasis on patient-centeredness. Fundamental to this transformation is the increasing recognition of patients' role in health care delivery and design. Medical appointment scheduling, as the starting point of most non-urgent health care services, is undergoing major developments to support active involvement of patients. By using the Internet as a medium, patients are given more freedom in decision making about their preferences for the appointments and have improved access.

objectiveThe purpose of this study was to identify the benefits and barriers to implement Web-based medical scheduling discussed in the literature as well as the unmet needs under the current health care environment.

methodsIn February 2017, MEDLINE was searched through PubMed to identify articles relating to the impacts of Web-based appointment scheduling.

resultsA total of 36 articles discussing 21 Web-based appointment systems were selected for this review. Most of the practices have positive changes in some metrics after adopting Web-based scheduling, such as reduced no-show rate, decreased staff labor, decreased waiting time, and improved satisfaction, and so on. Cost, flexibility, safety, and integrity are major reasons discouraging providers from switching to Web-based scheduling. Patients' reluctance to adopt Web-based appointment scheduling is mainly influenced by their past experiences using computers and the Internet as well as their communication preferences.

conclusionsOverall, the literature suggests a growing trend for the adoption of Web-based appointment systems. The findings of this review suggest that there are benefits to a variety of patient outcomes from Web-based scheduling interventions with the need for further studies.

Indexed as

Appointments and SchedulesPatient ParticipationCosts and Cost AnalysisHumansInternetNeeds AssessmentPatient SatisfactionPersonnel Staffing and Schedulingappointments and scheduleshospital information systemsInternetno-show patientspatient-centered caresmartphone

Identifiers

PMID28446422
PMCPMC5425771
OpenAlexW2609052419

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.