Module 9 - Informatics Flashcards
Informatics
drives from innovations that define different future approaches
First nursing informatics nurse
Florence Nightengale
Examples of Informatics Used in Todays Nursing Profession
Electronic health records
Telehealth
Mobile devices
Patient portals
Data analytics
Technologies for educating nurses in academic settings
Technologies for conducting research
EHR
Electronic health record used when working in facilities (computerized health records)
Meaningful Use of EHR includes…
Improve quality, safety, efficiency, and reduce health disparities
Engage patients and family
Improves care coordination and population and public health
Maintain privacy and security of patient health information
Results of Meaningful use compliance of EHR
Better clinical outcomes
Improved population health outcomes
Increased transparency and efficiency
Empowered individuals
More robust research data on health systems
ANA Definition of Nursing Informatics
The specialty that integrates nursing science with multiple information management and analytical sciences to identify, define, manage, and communicate data, information, knowledge, and wisdom in nursing practice”
Types of Nursing Informatics (2)`
- Informatics Nurses
- Informatics Nursing Specialist
Informatics Nurse
“Super User”
RN with an interest or experience in an informatics field
Informatics Nursing Specialist
RN with formal graduate level education in the field of informatics
Often responsible for strategy development, implementation, and maintenance and evaluation of clinical systems requiring collaboration with multiple disciplines
Components of System development Life Cycle (SDLC)
This is how to build/change an informatics system:
Analyze and plan
Design and build
Test
Train
Implement
Maintain
Evaluate
(Test –> Train –> Implement –> Maintain) = The Design Phase Subsections
Questions to be Answered in Analyze and Plan Phase of SDLC
What is the purpose of this new technology or change to the current technology?
What problem do we hope to resolve
What date do we have to indicate the current state of the issue (how bad is the problem)?
How will its use be incorporated into the current workflow of the nurse?
Will it streamline nursing documentation, or will it increase the burden of documentation
Will it improve the overall usability and experience with the EHR?
What technological option are available if there are more than one?
Questions to ask in the Design Phase of SDLC
What should the screen display look like? How should it be laid out to be consistent with other screen layouts?
Can the design support or improve the nurse’s workflow as mapped out during the analysis and planning phase?
Is there evidence supporting the effectiveness of the new technology and, if so, does it provide recommendations for the design?
Can we use standard nursing terminology in the electronic system to better capture nursing’s contribution to care delivery and patient outcomes?
Tasks occurring during the maintenance phase for an EHR (SDLC)
Ongoing updates to hospital and ambulatory orders preferences lists
Ongoing update to hospital and ambulatory medication preference lists
Ongoing updates to providers lists
Ongoing updates to scheduling blocks (ambulatory, radiology, and procedure areas)
Monthly first data bank loads (new medications, medication pricing, and clinical alerts)
Error work queue maintenance (example billing errors, sure script errors, many types of interface errors
Pricing updates
Quality measures updates
Clinical decision support tools/rules
Monthly updates from EHR vendor
Examples of Technology evaluation steps of SDLC
Determine what will be evaluated
Determine the question
Conduct a literature search
Determine the needed data
Determine the study type
Determine the data collection method and sample size
Collect analyze, and display data
Document your outcome evaluation
Important Informatic Concepts
System usability
System optimization
Standard terminologies
Interoperability
Security and privacy
(look up definitions of these terms in textbook)
Optimization
improve processes, reduce errors, etc
Standard terminology
all same terminology used in the same way by everyone so there is not contradiction in understanding between nurses
Emerging Areas in the Field of Informatics
Patient portals
Healthcare analytics
Data visualization
Predictive analytics
Big data
Uses of Patient Portals
Access medical history and other health information
Complete various forms and questionnaires online
Communicates securely and conveniently with providers
Request prescription refills
Pay bills
Review lab results
Schedule appointments
Receive reminder for appropriate screenings
Enter clinical data, such as blood pressure, glucose levels, weight, Fitbit data, and other activity tracking data
Review progress notes
Access educational material based on diagnosis or procedure
Benefits of Patient Portals
Better health outcomes
Chronic condition management
Timely access to care
Patient retention
Patient-centered medical home recognition
Types of Healthcare Analytics
Clinical
Administrative
Financial
Clinical Analytics
how many patients with this have this
basically looks at information on diagnoses and procedures and issues and gives analysis on them
Administrative Analytics
patient acuity, nurse ratio etc
more for nursing assignment
Financial Analytics
more for billing systems
Telehealth
the use of electronic information and telecommunications technologies to support and promote long-distance clinical health care, patient administration
Telemedicine
the use of telecommunications technologies to support the delivery of all types of medical, diagnostic, and treatment-related services, usually by physicians and nurse practitioners
Telecare
refer to technology that allows consumer to stay safe and independent in their own homes
Precision Medicine
Genetics and genomics!!!!!
The field genomics has the potential to significantly change the way healthcare is delivered
Genomics play a role in 9 of the 10 leading causes of death, including heart disease, cancer, stroke,
diabetes, and Alzheimer’s disease (WHO, 2004)
Because genomic healthcare is heavily dependent on data storage and interpretation, no other area is better suited than informatics to support this evolving work
