Value of Theoretical Framework or Model NURS FPX 6410 Presentation to Informatics Staff
Improve
Collect and Analyze
Implement
Evaluate
Incorporate
Nursing Informatics brings a plethora of expertise and skill to the practice of nursing. Although nursing data has been around for a long time, it has evolved into what it is today. It focuses on valid data for clinical resolutions and help assess why gaps occur. Nurses are empowered to feel comfortable in their decision-making abilities. Nursing Informatics integrates EBP in research and practice and this enhances the quality of the patient’s care and overall outcomes.
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Theoretical Frameworks and Models of Nursing Informatics in Professional Practice
Knowledge
Persuasion
Decision
Implementation
Confirmation
Empowerment Informatics framework is the integration of long term illness self regulation interventions and nursing informatics, promotion of ethical behavior, research based self management outcomes, and patient-empowering technology used by nurse. Relationships among patient behaviors, characteristics and their set goals are identified. (Knight & Shea, 2013) An example would be a totally breast feeding infant discharged from the hospital to follow up with lactation, who is an RN. The parents have been trained to write down how long the infant breast feeds, how many times and to count how many diapers in a day. A the lactation nurse, review the data and assist in adjusting the schedule according to the infants intake, diapers and weight, using you knowledge but also including the mother to assist in the management process and any changes that may be implemented.
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Standards of Practice of Nursing Informatics
Technology, patient, provider
Accountability and elevation
Provide consistency throughout the profession so patients receive quality control
Utilize an evaluation tool for safety and proficiency
Policies and guidelines
Standards in nursing practice hold nurses responsible for each action and clinical decision they make. They help nurture and guide clinical practice and expectancy of the staff. These practices can also be used as a teaching tool for competence and safety. Administrators may often use it to help in advancing safe staffing practices. Often, there are areas that require correction or enhancement and they are utilized. For example, a new type of breast milk, (Prolacta),is not being used adequately on the unit due to incificient training or no training at all.
Standards give consistency throughout the profession no matter where you work, be it in clinical office or a hospital, the goal is to ensure the patient has the best quality of care. (Davis, 2014)
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Examples of use of Standards of Practice
Electronic Medical Records
Patient Centered
Secure and private
Improve care
Cost-saving
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Validated Information can Identify Gaps in Practice
Medical and billing errors
Continuity of Care
Privacy Regulations
Nursing practice, skill, and knowledge
Traditional versus digital
Scrutinizing or studying validated data allows the medical care team the ability to focus on the areas that insist on corrections to quality care. The analyzed data can discover areas of fragility or shortcomings, and can aid management in making decisions. Standardizing care in various departments is productive to the flow of those departments. It may also reveal staff who may need one on one training. It could also be beneficial to those transferring into the department or new hires who have no clue about the workflow. It is important to study validated data but also invalid data to assess where the issues may be and if there are certain areas where everyone is having similar or equal issues. If the answer is yes, then a change in workflow is needed to develop ways to correct invalid data. It is then that comparing performance to probable improvements can be important and inferior practice and guidelines can be addressed. (Seller, 2018)
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Validated vs Invalidated Data
Validated Data
Trusted
Verifiable
Improves clinical practice
Complete
Represents valid information and improves data quality
Invalidated Data
Untrustworthy and not proven
Creates gaps in health practice
Poor communication
Human error
Incomplete information
Validated data is data that can be trusted It is verifiable, accurate and complete. An example would be administering a pain medication to a patient and then the patient develops whelps, tightness in the chest and shortness of breath. The nurse instantly documents in