2. outline
• Definition of Data management and other concepts related.
• Management Information System (MIS) and Data integrity.
• Techniques to help alleviate erroneous data.
• Computer networking.
• Healthcare information systems
• Nursing informatics
• Nursing informatics role in health care
3. Data Management
Data collection of numbers, characters, or facts that are gathered according to
some perceived need for analysis and possibly action a later point of time
(Anderson, 1992).
4. Information is a set of data that has been interpreted covering some
aspect of time, such as over course of a day.
Knowledge Appling fact or ideas acquired by study, investigation,
observation, or experience.
Wisdom occurs when knowledge is used appropriately to manage.
Nurses acquire knowledge over time and use it extensively in their
daily task or direct patient care.
5. Data collection, with the aid of computer and information
technology, helps to provide evidence of best practice supported by
research.
Provide database of knowledge that can be applied to everyday
practice situations.
6. Management Information System (MIS) An integrated system for
collecting, storing, retrieving, and processing a collective set of data;
the data are transformed from storage into knowledge that is directly
useful and applicable in the process of directing and controlling
resources and their application to the achievement of specific
management objectives.
7. Data integrity
It is not enough to collect data, interpret it, and build a database of
knowledge. Data that make up the database of information must be
maintained with optimal assurance that good-quality data exist.
8. If data integrity is less than optimal, it could result in inappropriate
decisions that could possibly harm a patient.
Good quality data have characteristics that can be identified:
Data must be timely, accurate, rapidly and easily available, precise,
clear, comprehensive, reliable regardless of who collects it, easy to
interpret, current, and appropriate for the users need.
9. Techniques to help reduce data error
Educating
staff
System
prompts
Various
verification
techniques
Data
mining
Data
cleansing
10. Educating staff
educating staff is vital to having high-quality data and reducing
erroneous data.
Nurse should have a general understanding of how to use software,
enter data, extract data, print reports and evaluate data to make good
clinic decisions.
They need to know how to find information and procedures rather
than know they need to learn to question rather than answer.
Documentation take 13% to 28% of nurses time
11. System prompts
Manager, staff, and informatics nurses can work with the IS department
to develop system prompts that alert to user to recheck the data.
Check that the data fall in a specific range, or confirm that have been
entered correctly. This embedded in the application software that Is
developed by the IS department.
12. Verification techniques
verifying data is important to having high-quality data can be utilized
for clinical decision making.
Many verification including verbal questioning and visual verification.
Both techniques are very effective in the right environment.
System prompts certainly help, but other techniques may be used to
check and recheck data that are being entered at the point of care.
13. Data mining
Extracting data from databases is known as data mining. The process of
data mining has become known as knowledge discovery and data
mining or data to knowledge.
Nurse managers, especially, should be aware of the uses of techniques
such as data mining that allow them to extract, predict, evaluate, and
apply knowledge to daily task.
14. Data cleansing
Technique used to clean up erroneous data
that have been captured and stored in
databases.
Data cleansing software flags the erroneous
data and generates a report.
After the report is reviewed, the files or
records that have been flagged may be
deleted or corrected.
16. Computer networking
Intranets, extranets, and virtual private networks
Intranets are used by organization for internal use and employ a variety of
communication technologies. intranets usually are not geographically.
Extranets extend beyond intranets and an organization information providing
access to anywhere in the world.
They generally use multiple types of communication technologies and are
not geographically limited just as intranets.
Extranets are used to connect different parties that have common interests.
Virtual private that provide stronger security with flexible remote access.
17. Computer networking
Wireless network
Wireless networking has rapidly become the norm for most computer
users. Wireless access points are available in most areas such as
academic areas, …
19. Healthcare information systems
There are several types of healthcare information systems. Some of
these systems help to manage the daily operations of general
healthcare organizations.
Administrative information systems
Clinical information systems
20. Healthcare information systems
Administrative information systems
These include financial systems, human resource systems, nonclinical
patient systems.
Clinical information systems
Involve any system that is used in patient care and may not be nursing
information systems.
22. Nursing Informatics The management and processing of nursing data,
information, and knowledge to support the practice of nursing and the
delivery of nursing care.
23. Evolution of informatics
The first master’s degree in nursing informatics was offered by the
University of Maryland in 1989.
In 1992, that same university followed with the first doctoral program
in nursing informatics.
25. Nursing informatics role in health care
Nursing
informatics
Consultant
Project
manager
Educator
Researcher
Product
developer
Decision
support
Policy
developer
Chief
information
officer
Innovator
26. Nursing informatics role in health care
Informatics nurse as project manager:
Informatics nurses analyze, design, develop, select, test,
implement, and evaluate new of modified informatics projects that
support optimal data and delivery of quality patient care.
27. Nursing informatics role in health care
Informatics nurse as consultant :
Consultants may take on a variety of role, including project manager,
market research, planning conference, strategic, information
technology planning, reviewing clinical software, redesigning the
workplace, and other . They may work for an organization or with
consulting firm.
28. Nursing informatics role in health care
Informatics nurse as educator:
Informatics nurse may educate staff nurse,
managers, and others in using the
healthcare information system. Their role
would include educating all staff on
confidentiality and security matters as well.
29. Nursing informatics role in health care
Informatics nurse as researcher:
As a researcher, the informatics nurse may research clinical situation
that arise, help implement evidence-passed practice, evaluate the
current system for improved outcomes, and conduct research to
improve clinical information systems and clinical outcomes.
30. Nursing informatics role in health care
Informatics nurse as product developer:
The informatics nurse may develop software applications for clinical
and nonclinical healthcare environments.
31. Nursing informatics role in health care
Informatics nurse as decision support:
Nurses in this role use technology and other systems tools to maintain
data integrity and reliability, identify outcomes, and develop
performance measurements.
32. Nursing informatics role in health care
Informatics nurse as policy developer:
Nurses in this role help to develop policies for clinical and
administrative health care information systems.
33. Nursing informatics role in health care
Informatics nurse as chief information officer (CIO):
This role provides leadership and management at the executive level
for both the organization and vendors.
34. Nursing informatics role in health care
Informatics nurse as innovator:
informatics nurses may fit here by managing their own practice,
developing applications, or owning their own healthcare information
systems business.
35. Discuses the technique that help to reduced the data error.
Discuses the nursing informatics role.
36. references
Diane L. Huber ,(2010) Leadership And Nursing Care Management, 4th edition,
Saunders, an imprint of Elsevier Inc.
Linda Roussel, (2012) management and leadership for nurse administrators,
Ascend learning.
