ArticleJMIR medical informatics2015
Disrupting Electronic Health Records Systems: The Next Generation.
Article in JMIR medical informatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled 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.
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
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Electronically assisted surveillance systems of healthcare-associated infections: a systematic review.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2020Pooled it
- Medical Informatics Operating Room Vitals and Events Repository (MOVER): a public-access operating room database.JAMIA open · 2023Article
- Medical Note Quality Audit at the Vascular Surgical Unit Compared With the British Medical Journal (BMJ) Guidelines.Cureus · 2023Article
- Exploring the clinical relevance of vital signs statistical calculations from a new-generation clinical information system.Scientific reports · 2023Observational
- Extracting Medical Information From Free-Text and Unstructured Patient-Generated Health Data Using Natural Language Processing Methods: Feasibility Study With Real-world Data.JMIR formative research · 2023Article
- Toward Dynamic Risk Prediction of Outcomes After Coronary Artery Bypass Graft: Improving Risk Prediction With Intraoperative Events Using Gradient Boosting.Circulation. Cardiovascular quality and outcomes · 2021Article
- A Clinical Decision Support System (KNOWBED) to Integrate Scientific Knowledge at the Bedside: Development and Evaluation Study.JMIR medical informatics · 2021Article
- Unpacking Prevalence and Dichotomy in Quick Sequential Organ Failure Assessment and Systemic Inflammatory Response Syndrome Parameters: Observational Data-Driven Approach Backed by Sepsis Pathophysiology.JMIR medical informatics · 2020Article
- Can emergency department provider notes help to achieve more dynamic clinical decision support?Journal of the American College of Emergency Physicians open · 2020Article
- Developing an Intranet-Based Lymphedema Dashboard for Breast Cancer Multidisciplinary Teams: Design Research Study.Journal of medical Internet research · 2020Article
- Clinical Genome Data Model (cGDM) provides Interactive Clinical Decision Support for Precision Medicine.Scientific reports · 2020Article
- Can Automated Retrieval of Data from Emergency Department Physician Notes Enhance the Imaging Order Entry Process?Applied clinical informatics · 2019Article
- Predicting life expectancy with a long short-term memory recurrent neural network using electronic medical records.BMC medical informatics and decision making · 2019Article
- Assessment of Intensive Care Unit Laboratory Values That Differ From Reference Ranges and Association With Patient Mortality and Length of Stay.JAMA network open · 2018Article
- The General Practitioner Prompt Study to Reduce Cardiovascular and Renal Complications in Patients With Type 2 Diabetes and Renal Complications: Protocol and Baseline Characteristics for a Cluster Randomized Controlled Trial.JMIR research protocols · 2018Article
- Integrating Patient-Centered Electronic Health Record Communication Training into Resident Onboarding: Curriculum Development and Post-Implementation Survey Among Housestaff.JMIR medical education · 2018Article
- Clinical Note Creation, Binning, and Artificial Intelligence.JMIR medical informatics · 2017Article
- Ecological Assessment of Clinicians' Antipsychotic Prescription Habits in Psychiatric Inpatients: A Novel Web- and Mobile Phone-Based Prototype for a Dynamic Clinical Decision Support System.Journal of medical Internet research · 2017Observational
- Patient-Specific Predictive Modeling Using Random Forests: An Observational Study for the Critically Ill.JMIR medical informatics · 2017Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The health care system suffers from both inefficient and ineffective use of data. Data are suboptimally displayed to users, undernetworked, underutilized, and wasted. Errors, inefficiencies, and increased costs occur on the basis of unavailable data in a system that does not coordinate the exchange of information, or adequately support its use. Clinicians' schedules are stretched to the limit and yet the system in which they work exerts little effort to streamline and support carefully engineered care processes. Information for decision-making is difficult to access in the context of hurried real-time workflows. This paper explores and addresses these issues to formulate an improved design for clinical workflow, information exchange, and decision making based on the use of electronic health records.
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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.