Enhanced Record Tracking
Enhanced Record Tracking - Related Videos
14:03
Using an Automated 3D-tracking System to Record Individual and Shoals of Adult Zebrafish
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Cited by 38 •
2013
The use of a 3D automatic video system that can track individual and groups of zebrafish is described. As application example we explore the effects of the NMDA-receptor antagonist MK-801 on shoals of zebrafish.
04:25
Simultaneous Eye Tracking and Single-Neuron Recording to Identify Target-Selective Neurons
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2025
The video demonstrates an assay to identify target-selective neurons via simultaneous eye-tracking and single-neuron recordings. A human participant is tasked with identifying a target object among an array of objects in a display, and the eye movement is tracked. Simultaneously, single neurons' firing rate is recorded via electrodes implanted in the brain. The data from both recordings are correlated to assess the presence of target-selective neurons.
06:57
C. elegans Movement Tracking: A Method to Assess Locomotion in Worms
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2023
This video describes the use of video and tracking software to record worm movement in an arena. The example protocol measures the effect of ethanol exposure on worm locomotion.
07:43
Simultaneous Eye Tracking and Single-Neuron Recordings in Human Epilepsy Patients
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Cited by 8 •
2019
We describe a method to conduct single-neuron recordings with simultaneous eye tracking in humans. We demonstrate the utility of this method and illustrate how we used this approach to obtain neurons in the human medial temporal lobe that encode targets of a visual search.
09:03
Eye Tracking Young Children with Autism
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Cited by 93 •
2012
Eye tracking has long been used to study gaze patterns in typically-developing individuals, but recent technological advancements have made its use with clinical populations, including autism, more feasible. While eye-tracking young children with autism can offer insight into early symptom manifestations, it involves methodological challenges. Suggestions for best practices are provided.
FAQs
Consistent identifiers connect information to the appropriate patient record across encounters and systems. This linkage helps distinguish current documentation from duplicate, misplaced, or unrelated entries, while preserving continuity as information moves through its lifecycle. In clinical practice, reliable identification gives care teams a stronger basis for retrieving complete records and recognizing discrepancies before they affect documentation or care.
These metadata elements show when information was entered, who contributed it, and how it changed over time. Together, they create an auditable history rather than leaving users with only the latest version. That context helps teams examine discrepancies, understand documentation changes, and support quality assurance when questions arise about the accuracy or origin of a record entry.
Access events add visibility into how records are viewed or shared, complementing the history of entries and revisions. When combined with authorship and timestamps, they help organizations examine the movement and handling of clinical information. This traceability supports accountability, makes unusual discrepancies easier to investigate, and contributes to stronger information-management practices across connected clinical systems.
By linking records through consistent identifiers and retaining related metadata, the process connects documentation created at different points in a patient’s record lifecycle. Care teams can more readily retrieve current information and distinguish it from duplicates or misplaced entries. This continuity reduces gaps in the available record and supports patient safety when information must be reviewed across encounters or systems.
An implementation should capture consistent record identifiers together with timestamps, authorship, revisions, access events, and related metadata. These elements provide the structure needed to follow information from entry through later updates and sharing. Reviewing the resulting history can help teams locate discrepancies, determine how records changed, and improve the reliability of clinical documentation.
Teams can compare identifiers, timestamps, authorship, revisions, and access information to reconstruct what happened to a record. This context makes it easier to distinguish a documentation change from a duplicate or misplaced entry and to identify where clarification is needed. The resulting review supports more accurate records, stronger quality assurance, and safer information use.
An auditable record history provides evidence of how information was entered, revised, accessed, and shared. That visibility helps organizations examine documentation practices, identify inconsistencies, and demonstrate traceability during quality reviews. It also supports regulatory compliance by making information handling more transparent, while reducing reliance on an incomplete or unexplained final version of a record.
Research data integrity depends on being able to understand the origin and evolution of information used for analysis. Linking records with identifiers and preserving timestamps, authorship, revisions, access events, and related metadata helps investigators assess whether data are current and traceable. This context makes discrepancies easier to identify and supports more dependable reuse of clinical information for research.