Flash cards All
(262 cards)
- Compare the super user and job-aid training approaches for information system training.
There are two major on-the-job training methods:
- Super user, a regular user of the system who has in-depth knowledge of the information system. Understands clinical areas and information system, any user may apply. Must take time away from clinical position.
- Job aides-learning tools at the workstation. Decreases need to memorize large amounts of information, decrease time for training. Access must be complete and up to date. User friendliness is key, all users must be given same information.
- Describe peer training and self-directed text-based courses used for information system training.
Two methods:
- Peer training: new users are trained by existing users. New users shadow peer. Adv: training is tailored directly to the function needed, proficiency can be easily tested. Dis: training may not be knowledgeable in principles of education, bad habits passed along. Tip: trainer should have knowledge of adult education, works better with lower level staff.
- Self directed text-based: self directed (self-paced) by use of provided materials. Usually in the form of workbooks, very little interaction with subject matter experts. Adv: works at own pace, proficiency easily tested, system does not need to be in place for training. Dis: motivation must be high. Tips: very structured material.
- Describe web-based and on-the-job training approaches to information systems.
- Web based training: delivers content directly to students via the internet.
- ADV: accessible from any PC that is connected, available 24hrs.
- DIS: expert web master needed, intranet must already be in place. Tips: online learner assessment is included.
- On-the-job: delivered to the student in person, usually at the work site.
- ADV: can be tailored to individual, learning applied immediately, proficiency tested by trainer.
- DIS: lower productivity, bad habits passed on, interruptions are bothersome. Tips: trainer should have adult education experience.
- Describe the role of support personnel who work with healthcare information systems.
Super user: employee with advanced knowledge about computers and is familiar with the work done at the department level.
Help desk: hospital must have 24hr information system help. PC specialists: BS in computer science assists with training and system setup.
- Describe the Logical Observation Identifiers Names and Codes (LOINC)
International Classification for Nursing Practice (ICNP)
Nursing Management Minimum Data Set (NMMDS) for classification systems.
LOINC: database terms primarily for lab results. 32,000 terms that include clinical information and codes for nursing observations.
ICNP: uniform terms for nursing data. Sponsored by the International Council of Nurses. Categories for diagnosis, interventions and outcomes.
NMMDS: dynamic collection of standardized terms related to nursing. Goal was to create terms that could be used by wide range of computer systems. Terms for describing context and environment, categories for personnel characteristics, financial resources and population data.
- Describe the informatics nurse responsibilities
- Teaching
- Security
- System effectiveness
- System works as designed
- Systems upgrade
- Finding new ways to use technology in nursing
- Compliance
- Project management
- Research in informatics
- Describe the Perioperative Nursing Data Set (PNDS)
SNOMED CT
Patient Care Data Set (PCDS).
PNDS: uniform terms for patient problems that may occur during an operation.
Systematized Nomenclature of Medicine Clinical Terms: 357,000 concepts defined and categorized, 957,000 descriptions, English, German and Spanish.
PCDS: data dictionary designed to provide standard clinical set of terms for inclusion in healthcare information systems, classification for problems, goals and orders.
- Describe the advantages and disadvantages of expert systems.
ADV:
- Consistency in decision making
- Central knowledge depository database can be larger than human experts can remember and information survives staffing changes
- Ability to review answers and generate reports
DIS:
- Software lacks common sense
- Logic is locked down lacks creativity
- Programming can be complex and is not adaptable,making it difficult to change
- Describe some of the roles that the informatics nurse plays.
- Developing informatics theories: what should be captured and how to analyze the data.
- Analyzing the information needs of the organization
- Help choose the computer system
- Customize the purchased computer system
- Design the system
- Test and upgrade systems
- Teach/training
- Describe the two primary data entry systems used in healthcare informatics:
Clinical Care Classification (CCC) system and the
Omaha System.
CCC: two major subsets of information: diagnosis and outcomes, interventions and actions. 21 care components that cover functional, physiological and psychological, compatible with ICD10.
Omaha: problem classification scheme (assessment), Intervention scheme and Problem rating scale which ranges from 1-5 similar to Likert scale, home care public health and community nursing.
- Outline three classification systems used in informatics:
NANDA-I (North American Nursing Diagnosis, Definitions and Classifications)
Nursing Interventions Classification (NIC)
Nursing Outcomes Classification (NOC) system.
NANDA-North American Diagnosis Association International: 167 classified diagnosis defined and characterized in this system.
NIC: 514 treatments performed by nurses, provides NANDA diagnosis, categorized into 44 specialties.
NOC-Nursing Outcomes Classification: 330 disease states that provide expected outcomes for patient, caregiver, family and community, includes definitions, indicators, measurement tools and references. Using these tools ensures terms are standardized and thus comparable across organizations, also compatible when published.
- Explain data mining.
- Electronically searching through large amounts of information to find relevant items.
- Associated rule mining-looks for patterns of data showing up repeatedly not random.
- Classification: data group membership such as number of sunny days in year.
- Clustering: organized data according to their similar characteristics into clusters.
- Mining is also called knowledge discovery. Results can be used to make predictions. Sample size needs to be considered, possible ethical considerations.
- Describe expert systems.
These systems are programmed with information that a human expert would use to handle a particular problem, in some cases provide a list of recommendations. The knowledge base is created by individuals that are asked to provide guidelines to solve very specific problems. Its tested to verify outcomes. They may use true/false or fuzzy logic which is generally not as accurate as true/false.
- Describe four types of data warehouses.
Data warehouses are separate entities to free up space and improve response times on servers.
- Offline operation databases-simple copies of operation system.
- Offline data warehouse-regular copy used in report-oriented system.
- Real-time warehouse-similar to offline data warehouse but updated realtime.
- Integrated-updated, processed and returns results to central system for use daily.
- Describe three major parts of data warehouse and storage of data.
- Infrastructure-refers to hardware and software used.
- Data-diagram representations of the structures that send and store information and how they relate.
- Process-how information gets from one place to another. Most warehouses use Codd rules of normalization which breaks it down into tables to show relations.
Two types of data design:
- Dimensional-breaks data into numerical facts that are easy to use and operate quickly but are hard to modify.
- Normalized-third normal form, they tend to be slow and difficult to use.
- Define EHR and its guidelines.
HIMSS defines EHR as “secure, real-time, point-of-care, patient-centric information resource for clinicians”. According to the model it should: manage information for long and short term, clinicians main resource when caring for patients, use evidence based planning for individual and community, QI, performance management, risk management, utilization review, resource planning, billing, clinical research since data is standardized and up to date.
- Define the term data retrieval and four important factors.
Accessed data that has been stored.
- Performance-speed and ability to process requests.
- Capacity-number of files and size of files.
- Security-protecting data.
- Cost-support personnel, software and hardware.
- Explain the term data management.
The storage, access and security of patient data that includes paper documents as well as x-rays that are handled by analyst, programmers and database admins.
- Describe the term automated documentation.
Charting by exception allows nurse to view normal values and change only those that the patient does not conform. Standardized nursing languages allow drop down menus that are free from ambiguity.
- Describe the factors necessary for information quality.
- Timeliness-available as needed.
- Precision-system dictionaries shall describe uniform wording and definitions.
- Accuracy-Error free as possible.
- Measurable-quantifiable so that comparisons can be made.
- Independently verifiable-information remains constant regardless of individual reporting it.
- Availability-access as needed and at the appropriate location.
- Outline some of the hazards related to storage on computer.
Safer on a computer than paper but hazards are:
- Environmental and physical.
- Control-keeping records from being erased, storing or altered.
- Planning-creating backup copies.
- Time restraints-archiving, how long to keep records.
- Transfer-salvage records that may become degraded.
- Maintenance-of system that reads and writes data.
- Describe the attributes that help to assure accuracy of information.
- Objective reporting-unbiased.
- Comprehensive-all information that is available to complete requests.
- Appropriateness-users are able to access information necessary for job.
- Unambiguous-data is clear.
- Reliable-data keyed in by different people is the same.
- Up to date-most recent data is listed first.
- Convenience-not difficult to find data.
- Describe supportive, scooped key, minimum-motion, and straight column keyboards.
- Supportive-support wrist but may cause fluid build up.
- Scooped key-puts keys closer together and allows an extra row.
- Minimum motion-light touch keyboard.
- Straight-lessons stress on left hand little effect on right.
- Outline the steps for human centered design.
- Define and understand the organizations requirements and individual requirements.
- Define and understand the logistics of how and where the system will be used.
- Break down tasks by priority, duration, frequency and probability of completion.
- Define key functions-logical and intuitive to user.
- Find common errors that may occur, optimize to process.
- Interfaces and workstations so they work for users.
- Test with actual users and then make adjustments.






