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Related Concept Videos

Data Collection I01:30

Data Collection I

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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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Documentation of Nursing Diagnosis01:10

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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.
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Data Collection III01:05

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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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Methods of Documentation II: POMR01:26

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The Problem-Oriented Medical Record (POMR) revolutionized medical record-keeping by introducing a systematic approach focusing on the patient's problems rather than merely listing symptoms. Dr. Lawrence Weed's introduction of this method in the 1960s marked a significant advancement in medical documentation. The POMR framework consists of four key components: the database, problem list, plan of care, and progress notes.
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Nursing Assessment01:29

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The two sources for collecting information are primary and secondary. After gathering information, interpretation and validation help to complete the data. The purpose of assessment is to establish data with the initial information, to interpret data about the patient's perceived needs and health problems, and to respond to these problems identified.
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Purpose of Health Records I01:11

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The vital purpose of health records is to provide a complete and accurate account of a patient's medical history, including communication, diagnostic and therapeutic orders, care planning, research, and quality review.
Here's a breakdown of how health records serve these purposes:
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Related Experiment Video

Updated: Aug 3, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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Early Identification of Family Physicians Using Qualitative Admissions Data.

Jacqueline M Knapke1, Hillary R Mount1, Erin McCabe2

  • 1Department of Family and Community Medicine, College of Medicine, University of Cincinnati, Cincinnati, OH.

Family Medicine
|April 12, 2023
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Summary

Identifying future family physicians early is crucial. Analysis of medical school essays reveals distinct themes, differentiating family medicine (FM) students from others, aiding recruitment efforts.

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Area of Science:

  • Medical Education
  • Qualitative Research
  • Natural Language Processing

Background:

  • Addressing the long-standing shortage of family physicians.
  • Early identification of medical students interested in family medicine (FM) is key for recruitment.
  • Analyzing application data to find differentiating themes.

Purpose of the Study:

  • To analyze qualitative data from medical school applications.
  • To identify themes distinguishing future family physicians from non-FM counterparts.
  • To inform recruitment and mentorship strategies.

Main Methods:

  • Qualitative analysis of admissions essays from 2010-2019 medical school graduates.
  • Comparison of 135 students matched to FM versus 136 non-FM matched students.
  • Utilized natural language modeling to identify semantic patterns and themes.

Main Results:

  • Shared themes of emotions and academics existed, with variations in emphasis.
  • Family medicine students showed more positive emotions and unique themes of service and community.
  • Non-FM students focused on specialized scientific language, research, and career aspirations.

Conclusions:

  • Machine learning analysis revealed distinct qualitative differences in application materials.
  • Application essays may predict future specialty choice, aiding recruitment.
  • Identifying potential FM students can guide targeted recruitment and mentorship.