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Related Concept Videos

Nursing Evaluation01:15

Nursing Evaluation

The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
Section...
Data Collection III01:05

Data Collection III

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.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the patient.
Data Validation01:03

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
Guidelines for Writing Outcome01:11

Guidelines for Writing Outcome

When developing expected outcomes for a patient care plan, the nurse should adhere to the following recommendations:
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care evaluation by...
Data Collection I01:30

Data Collection I

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 data...
Data Collection by Experiments01:13

Data Collection by Experiments

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 clinical trial...

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Related Experiment Videos

Private practice outcomes: validated outcomes data collection in private practice.

Jack Goldstein1

  • 1Department of Orthopaedic Surgery, Miriam Hospital, Sports Medicine, Orthopaedics and Podiatry, Brown University, 400 Massasoit Avenue, Suite 200, East Providence, RI 02914, USA. jdgoldstein@automationmed.com

Clinical Orthopaedics and Related Research
|June 10, 2010
PubMed
Summary
This summary is machine-generated.

A new patient-centric kiosk system collects essential healthcare data, including demographics and outcomes, at low cost. This approach overcomes previous barriers, enabling collaborative research and improving patient care through efficient data collection.

Related Experiment Videos

Area of Science:

  • Health Informatics
  • Medical Data Collection
  • Patient Outcomes Research

Background:

  • Validated outcome measures are crucial for improving patient care, requiring demographic, patient outcome, and physician treatment data.
  • Previous data collection efforts faced challenges including cost, office disruption, personnel needs, physician motivation, data integration, and security.
  • Limited avenues exist for collecting data suitable for collaborative analysis.

Purpose of the Study:

  • To develop an affordable, patient-centered method for collecting healthcare data.
  • To reduce redundant data entry, thereby minimizing costs and personnel requirements.

Main Methods:

  • An intuitive touch-screen kiosk interface was implemented for data capture in a private practice setting.
  • The system is scalable for small to large organizations, with patient-driven navigation.
  • Demographics are integrated with Electronic Medical Record (EMR) and billing systems, de-identifying data locally for potential central sharing.

Main Results:

  • High-level data have been collected from total joint patients with excellent compliance.
  • The system minimizes personnel costs as patients enter their own data.
  • Physician disincentives are reduced through cost savings, time efficiency, and ease of use.

Conclusions:

  • Addressing previous impediments can facilitate widespread data collection across practice settings.
  • Centralized data sharing can enable comparative effectiveness research.
  • Future success depends on broad physician participation, data uniformity, and a central data repository.