ReviewHealth information science and systems2017
Patient healthcare trajectory. An essential monitoring tool: a systematic review.
Review in Health information science and systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Evidence-based Clinical Decision Support Systems for the prediction and detection of three disease states in critical care: A systematic literature review.F1000Research · 2019Pooled it
- Prediction of maternal and infant outcomes from longitudinal electronic health records with a mother-child AI agent.Nature medicine · 2026Article
- Barriers to accessing formal cancer care from the perspective of informal caregivers: a qualitative study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Care trajectories of people with mood disorders in Quebec using latent class and latent profile analysis methods.Journal of mood and anxiety disorders · 2025Article
- Healthcare trajectories of aging individuals during their last year of life: application of process mining methods to administrative health databases.BMC medical informatics and decision making · 2025Article
- Cardiovascular disease healthcare trajectories: descriptions, similarities, mortality rates of heart failure in France.ESC heart failure · 2024Observational
- Dementia risk analysis using temporal event modeling on a large real-world dataset.Scientific reports · 2023Article
- Analytical methods for identifying sequences of utilization in health data: a scoping review.BMC medical research methodology · 2023Article
- Trajectories of care of community-dwelling people living with dementia: a multidimensional state sequence analysis.BMC geriatrics · 2023Observational
- Biochemical surveillance versus clinical observation of term infants born after prolonged rupture of membranes - A quality assurance initiative.Acta paediatrica (Oslo, Norway : 1992) · 2023Article
- "Frontiers in public health · 2023Article
- Artificial Intelligence in Biological Sciences.Life (Basel, Switzerland) · 2022Review
- Anxiety/Depression Predominance in Liaison-Psychiatry Users of a South-East Mexico Tertiary Hospital.Healthcare (Basel, Switzerland) · 2022Article
- Trajectories in Outpatient Care for People with Multimorbidity: A Population-Based Register Study in Denmark.Clinical epidemiology · 2022Article
- Research perspectives on animal health in the era of artificial intelligence.Veterinary research · 2021Review
- Sequential Pattern Mining to Predict Medical In-Hospital Mortality from Administrative Data: Application to Acute Coronary Syndrome.Journal of healthcare engineering · 2021Article
- Trajectories, bifurcations, and pseudo-time in large clinical datasets: applications to myocardial infarction and diabetes data.GigaScience · 2020Article
- Article
- SEIPS 3.0: Human-centered design of the patient journey for patient safety.Applied ergonomics · 2020Article
- Multi-level medical periodic patterns from human movement behaviors.Health information science and systems · 2019Article
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
backgroundPatient healthcare trajectory is a recent emergent topic in the literature, encompassing broad concepts. However, the rationale for studying patients' trajectories, and how this trajectory concept is defined remains a public health challenge. Our research was focused on patients' trajectories based on disease management and care, while also considering medico-economic aspects of the associated management. We illustrated this concept with an example: a myocardial infarction (MI) occurring in a patient's hospital trajectory of care. The patient follow-up was traced via the prospective payment system. We applied a semi-automatic text mining process to conduct a comprehensive review of patient healthcare trajectory studies. This review investigated how the concept of trajectory is defined, studied and what it achieves.
methodsWe performed a PubMed search to identify reports that had been published in peer-reviewed journals between January 1, 2000 and October 31, 2015. Fourteen search questions were formulated to guide our review. A semi-automatic text mining process based on a semantic approach was performed to conduct a comprehensive review of patient healthcare trajectory studies. Text mining techniques were used to explore the corpus in a semantic perspective in order to answer non-a priori questions. Complementary review methods on a selected subset were used to answer a priori questions.
resultsAmong the 33,514 publications initially selected for analysis, only 70 relevant articles were semi-automatically extracted and thoroughly analysed. Oncology is particularly prevalent due to its already well-established processes of care. For the trajectory thema, 80% of articles were distributed in 11 clusters. These clusters contain distinct semantic information, for example health outcomes (29%), care process (26%) and administrative and financial aspects (16%).
conclusionThis literature review highlights the recent interest in the trajectory concept. The approach is also gradually being used to monitor trajectories of care for chronic diseases such as diabetes, organ failure or coronary artery and MI trajectory of care, to improve care and reduce costs. Patient trajectory is undoubtedly an essential approach to be further explored in order to improve healthcare monitoring.
Indexed as
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What 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.