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Related Concept Videos

Data Reporting and Recording01:24

Data Reporting and Recording

Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters assessment...
Guidelines for Nursing Documentation I01:30

Guidelines for Nursing Documentation I

Quality documentation and reporting share essential characteristics that ensure they are practical and valuable resources for those who use them. These characteristics are:
Factual:  
The following points emphasize the significance of upholding accurate and unbiased documentation in healthcare.
Methods of Documentation III: PIE01:21

Methods of Documentation III: PIE

Problem-intervention-evaluation (PIE) is a systematic approach to documentation used in healthcare settings for clinical decision-making and patient care planning. It is a structured approach to organizing patient data based on problems, interventions, and evaluations. Here's a breakdown of its key features and considerations:
Methods of Documentation VII: EMR01:30

Methods of Documentation VII: EMR

Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare settings,...
Guidelines and Strategies for Safe Computer Charting01:18

Guidelines and Strategies for Safe Computer Charting

The guidelines and strategies provided by the American Nurses Association (ANA) and the Canadian Nurses Association (CNA) offer essential principles for ensuring safe and secure computer charting systems in healthcare settings. Let's break down each recommendation:
Maintain Confidentiality and Security:

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Related Experiment Video

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Optimal data entry by patients: effects of interface structure and design.

S C Porter1, I S Kohane

  • 1Children's Hospital Informatics Program, Department of Medicine, Children's Hospital, Boston, MA 02215, USA. Stephen.porter@tch.harvard.edu

Studies in Health Technology and Informatics
|October 18, 2001
PubMed
Summary

This study found that a mixed electronic data entry method, combining closed-ended questions and unstructured text, maximizes patient historical data capture. This approach improves documentation without increasing time or reducing detail for better electronic health records.

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Area of Science:

  • Medical Informatics
  • Human-Computer Interaction
  • Health Data Management

Background:

  • Direct electronic data acquisition from patients offers accuracy and diagnostic value.
  • Optimal methods for capturing patient historical information via electronic interfaces require further study.
  • Understanding user preferences and data documentation efficacy across different electronic data entry structures is crucial.

Purpose of the Study:

  • To determine how to achieve maximal electronic data input from patients.
  • To investigate if varying data entry structures influence the documentation of specific data elements.
  • To optimize the design of electronic interviews for capturing comprehensive medical histories.

Main Methods:

  • An iterative usability experiment involving four trials.
  • Comparison of unstructured text entry, directed text entry, and closed-ended questions.
  • Evaluation of outcomes including word count, time to task completion, and user preferences, considering covariates like technological experience and literacy.

Main Results:

  • Participants preferred a sequence of closed-ended questions followed by unstructured text entry.
  • This preferred order did not negatively impact data quantity (word count) or task completion time.
  • Directed text entry and closed-ended questions significantly improved the documentation of past medical history and parent-clinician discussion points compared to unstructured text entry.

Conclusions:

  • A hybrid electronic interview structure combining directed text entry and closed-ended questions is optimal for capturing medical histories.
  • Closed-ended questions are particularly effective for maximizing the capture of historical or clinically relevant data.
  • Findings inform the design of more effective electronic patient data collection tools.