There are two major on-the-job training methods:
Two methods:
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.
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.
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.
ADV:
DIS:
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.
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.
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.
Data warehouses are separate entities to free up space and improve response times on servers.
Two types of data design:
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.
Accessed data that has been stored.
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.
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.
Safer on a computer than paper but hazards are: