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Related Concept Videos

Data Collection II01:29

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The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
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Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
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Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
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The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
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The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
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Utilizing Smartphone-Based Machine Learning in Medical Monitor Data Collection: Seven Segment Digit Recognition.

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Summary
This summary is machine-generated.

This study introduces a mobile app for swift sharing of medical device data with doctors. Its advanced digit recognition engine achieves 98.2% accuracy, improving patient health monitoring.

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Area of Science:

  • Biomedical Engineering
  • Health Informatics
  • Mobile Health (mHealth)

Background:

  • Biometric measurements from devices like glucose monitors are vital for patient health tracking.
  • Current manual data recording methods delay clinical assessment and intervention.
  • The proliferation of smartphones presents an opportunity for real-time health monitoring.

Purpose of the Study:

  • To develop a mobile application for efficient capture and transmission of medical device data to healthcare providers.
  • To enhance timely patient care through rapid data sharing.

Main Methods:

  • Development of a mobile application for data input from medical monitoring devices.
  • Implementation of a robust optical character recognition (OCR) engine for digit recognition.
  • Integration with health monitoring platforms for seamless data transfer.

Main Results:

  • The developed engine accurately recognizes digits from medical monitors with 98.2% precision.
  • The mobile application facilitates swift data sharing between patients and doctors.

Conclusions:

  • The mobile application and its recognition engine can significantly improve the efficiency of patient health monitoring.
  • Leveraging mobile technology enables timely clinical decision-making and personalized patient care.