theories, frameworks, and models
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NURSING INFORMATICS NURSING INFORMATICS MODELS MODELS General Models Graves and Corcoran’s model Schiwirian’s model Turley’s model Data Information Knowledge (D-I-K)
model Benner’s Novice to Expert model
Specific Informatics Models Philippine Healthcare Ecosystem model Shift Left Model
NURSING INFORMATICS NURSING INFORMATICS MODELS MODELS
GRAVES AND CORCORAN’S MODEL (1989)Nursing informatics as the linear
progression - from data into information and knowledge
Management processing is integrated within each elements, depicting nursing informatics as the proper management of knowledge – from data as it is converted into information and knowledge
MANAGEMENT
DATA INFORMATION KNOWLEDGE
SCHIWIRIAN’S MODEL (1986)Nursing informatics involves identification of
information needs, resolution of the needs, and attainment of nursing goals/objectives
Patricia Schwirian – proposed a model intended to stimulate and guide systematic research in nursing informatics
Model/framework that enables identification of significant information needs, that can foster research (somewhat similar to Maslow’s hierarchy of needs)
GOAL
USERS
TECHNOLOGY
RAW MATERIALS(Nursing-related information)
TURLEY’S MODEL (1996) Nursing informatics is the intersection
between the discipline-specific science (nursing) and the area of informatics
Core components of informatics:Cognitive scienceInformation scienceComputer science
COMPUTER SCIENCE
INFORMATIONSCIENCE
COGNITIVE SCIENCE
NURSING
DATA-INFORMATION-KNOWLEDGE MODEL
NI is a specialty that integrates nursing science, computer science and information science to manage and communicate data, information, knowledge and wisdom into nursing practice (ANA)
Nursing informatics is an evolving, dynamic process involving the conversion of data into information, and subsequently knowledge
Important Note: Processing of information does not always result in the development of knowledge.
CO
MP
LE
XIT
Y
HUMAN INTELLECT
KNOWLEDGEKNOWLEDGE
INFORMATIONINFORMATION
DATADATA
BENNER’S LEVEL OF EXPERTISE MODEL
Every nurse must be able to continuously exhibit the capability to acquire skills (in this case, computer literacy skills parallel with nursing knowledge), and then demonstrate specific skills beginning with the very first student experience
Levels of Expertise (Benner): Novice – individuals with no experience of
situations and related content in those situations where they are expected to perform tasks
Advanced Beginner – marginally demonstrate acceptable performance having built on lessons learned in their expanding experience base; needs supervision
Competent – enhanced mastery and the ability to cope with and manage many contingencies
NOVICE
ADVANCED BEGINNER
COMPETENT
PROFICIENT
EXPERT
Proficient – evolution through continuous practice of skills, combined with professional experience and knowledge; individual who appreciates standards of practice as they apply in nursing informatics
Expert – individual with mastery of the concept and capacity to intuitively understand the situation and immediately target the problem with minimal effort or problem solving
Levels of Expertise (Benner):
PHILIPPINE PERSPECTIVE
PHILIPPINE HEALTH CARE ECOSYSTEM Nursing informatics is a huge network that
encompasses all the sectors of the health care delivery system – government agencies, health care facilities, practitioners, insurance companies, pharmaceutical companies, academic institutions, and suppliers
the government, different nursing associations
and developmental agencies maintain and balance the network
INTEL’S SHIFT LEFT MODEL Patient care shifts/progresses from a
high quality delivery of lif through technology with increased costs (right side) into quality of life with minimal health costs
Inverse relationship between quality of life and cost of care/day
PATIENT MEDICAL RECORD INFORMATION MODEL (PMRI): BASIS OF EHR
The type and pattern of documentation in the patient record will be dependent on 3 interacting dimensions of health care:
Personal health dimension – personal health record maintained and controlled by the individual or family; nonclinical informatione.g. self-care trackers, directories of health care, and other supports
Health care provider dimension – promotes quality patient care, access to complete accurate patient data 24/7
e.g. provider’s notes/prescription, clinical orders decision support systems, practice guidelines
Population health dimension – information on the health of the population and the influences to health; helps stakeholders identify and track health threats, assess population health, create and monitor programs and services, and conduct research
e.g. Ushahidi program
*Important Terminologies (Data Sets): ABC codes Perioperative Nursing Data Set (PNDS) SNOMED CT International Classification for Nursing
Practice (ICNP) Patient Care Data Set (PCDS) NANDA LOINC
ABC CODES
mechanism for coding integrative health interventions by clinician for administrative billing and insurance claims
includes complementary and alternative medicine interventions and codes that map all NIC, CCC, and Omaha system interventions
Perioperative Nursing Data Set (PNDS) universal language for perioperative
nursing practice and education; standardize documentation of perioperative data in all perioperative settings
Diagnosis based on NANDA, interventions based on NIC, and outcomes based on NOC
SNOMED CT
core clinical terminology containing over 357,000 healthcare concepts with unique meanings and formal logic-based definitions organized into multiple hierarchies
International Classification for Nursing Practice (ICNP) integrated terminology for nursing
practice developed under sponsorship of ICN
ICNP elements: Nursing phenomena (nursing diagnosis) Nursing actions (nursing interventions) Nursing outcomes
Patient Care Data Set (PCDS) terms and codes for patient
problems, therapeutic goals, and patient care orders
developed by Dr. Judith Ozbolt
ORGANIZATIONS as Resources
AMIA NLN HIMSS
American Medical Informatics Association (AMIA) authoritative body in the field of medical
informatics and frequently represents the United States in the informational area of medical informatics in international forums
dedicated to the development and application of medical informatics in the support of patient care, teaching, research, and healthcare administration
National League for Nursing (NLN) Mission: To advance quality nursing education
that prepares the nursing workforce to meet the needs of diverse populations in an ever-changing healthcare environment
Addresses faculty development and educational research
*Educational Technology and Information Management Advisory Council (ETIMAC) – promote effective use of technology in nursing education, as a teaching tool and outcome for student-faculty learning
Healthcare information and management systems society (HIMSS)
assumes leadership role in the health care information technology standards of nursing and advocacy of key innovations in health care delivery and administration
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