ArticleThe American journal of managed care2019
Organizational influences on healthcare system adoption and use of advanced health information technology capabilities.
Article in The American journal of managed care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed, 29 citations in OpenAlex.
- Automated Waitlists for Ambulatory Appointment Scheduling: Multisite, Mixed Methods Evaluation.Journal of medical Internet research · 2026Article
- The impact of remuneration, extrinsic and intrinsic incentives on interprofessional primary care teams: results from a rapid scoping review.BMC primary care · 2025Article
- The Impact of Leadership and Management on the Implementation of Electronic Health Record Systems in the Primary Healthcare Centers.Healthcare (Basel, Switzerland) · 2024Article
- Multilevel influences on patient engagement and chronic care management.The American journal of managed care · 2023Article
- Exploring facilitators of the implementation of electronic health records in Saudi Arabia.BMC medical informatics and decision making · 2022Article
- Integrating the Electronic Health Record Into Patient Encounters: An Introductory Standardized Patient Exercise for Preclinical Medical Students.MedEdPORTAL : the journal of teaching and learning resources · 2022Article
- Optimizing health IT to improve health system performance: A work in progress.Healthcare (Amsterdam, Netherlands) · 2020Article
- Advanced Health Information Technologies to Engage Parents, Clinicians, and Community Nutritionists in Coordinating Responsive Parenting Care: Descriptive Case Series of the Women, Infants, and Children Enhancements to Early Healthy Lifestyles for Baby (WEE Baby) Care Randomized Controlled Trial.JMIR pediatrics and parenting · 2020Article
- The Electronic Health Record Objective Structured Clinical Examination Station: Assessing Student Competency in Patient Notes and Patient Interaction.MedEdPORTAL : the journal of teaching and learning resources · 2020Article
- Health information technology and hospital performance the role of health information quality in teaching hospitals.Heliyon · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
objectivesThe adoption of advanced health information technology (HIT) capabilities, such as predictive analytic functions and patient access to records, remains variable among healthcare systems across the United States. This study is the first to identify characteristics that may drive this variability among health systems. STUDY
designResponses from the 2017/2018 National Survey of Healthcare Organizations and Systems were used to assess the extent to which healthcare system organizational structure, electronic health record (EHR) standardization, and resource allocation practices were associated with use of 5 advanced HIT capabilities. Of 732 systems surveyed, 446 responded (60.9%), 425 (58.1%) met sample inclusion criteria, and 389 (53.1%) reported consistent EHR use.
methodsMeasures of adoption, resource allocation, and organizational structure were developed based on survey responses. Multivariate linear regression with control variables estimated the relationships.
resultsAdoption of advanced HIT capabilities is low and variable, with a mean of 2.4 capabilities adopted and only 8.4% of systems reporting widespread adoption of all 5 capabilities. In adjusted analyses, EHR standardization (β = 0.76; P = .001) was the strongest predictor of the number of advanced capabilities adopted, and ownership and management of medical groups (β = 0.32; P = .04) was also a significant predictor.
conclusionsHealth systems that standardize their EHRs and that own and manage hospitals and medical groups have higher rates of advanced HIT adoption and use. System leaders looking to increase the use of advanced HIT capabilities should consider ways to better standardize their EHRs across organizations.
Indexed as
Identifiers
30667614PMC6581444W2991309102What OpenQuestion holds
Registered trials
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.