Module 12 - Technology, Data, Management and Clinical Informatics - Exam #3 Leadership

Role of Technology in Healthcare

Improves decision-making, enhances patient safety and quality, increases efficiency, and decreases healthcare costs.

QSEN Nursing Informatics

Nurses use information and technology daily in practice.

Basic Computer Competencies

Skills needed to use computers and digital tools.

Information Literacy

Ability to locate, evaluate, and use information effectively.

Information Management

Collecting, organizing, analyzing, and communicating data.

Biomedical Technology

Tools and equipment used to diagnose, treat, and monitor patients.

Diagnostic Technology

Tests and imaging used for diagnosing medical conditions.

Smart Pumps

IV infusion devices designed to prevent medication errors.

Medication Administration Technology

Tools supporting safe medication delivery (e.g., barcoding).

Therapeutic Technology

Equipment used for treatment, rehabilitation, and interventions.

Information Technology

Computers storing, organizing, retrieving, and communicating digital data in databases.

Knowledge-Based Technology

Systems generating or processing knowledge (e.g., CDS, dose calculators, allergy alerts).

Clinical Decision Support (CDS)

Technology assisting healthcare professionals with decision-making to ensure BEST PRACTICES.

Clinical Information Systems

Systems that capture clinical data via scanners, monitors, and documentation tools.

Data Warehouse

Repository where data is stored.

Effectiveness Research

Research providing information on treatment effectiveness.

Health Information Exchange (HIE)

Sharing of vital healthcare information across systems.

Intraoperable HIT

Explores nursing administration, informatics, and outcome measurement.

Clinical Informatics

Designs, upgrades, and implements processes involving data, knowledge resources, and evidence-based guidelines.

Nursing Informatics

ANA-recognized nursing specialty focusing on data, information, knowledge, and wisdom.

Requirements for Nursing Informatics

Master's degree and certification in informatics.

Role of Nurse Informatics Specialist

Participates in system design, conducts research, and educates nurses in informatics.

Meaningful Use (CMS Program)

Program requiring EHR use to improve data capture, processes, and outcomes.

Meaningful Use Stage 1

Data capture and sharing.

Meaningful Use Stage 2

Advanced clinical processes.

Meaningful Use Stage 3

Improved patient outcomes.

Benefits of Meaningful Use

Complete and accurate information, better access, improved patient-centered care and empowerment.

Meaningful Use Recommendations

EHRs, patient registries, HIE, risk stratification, automated outreach, referral tracking, patient portals, telehealth, remote monitoring, population analytics.

Electronic Health Record (EHR)

Purpose is a single clinical, financial, and legal patient record in one repository.

EHR Advantages

Reduces data replication, improves access, supports point-of-care documentation.

EHR Security Measures

Password protection, firewalls, confidentiality, integrity, ethical safeguards.

Joint Commission and EHR

The Joint Commission includes EHR standards in accreditation processes.

Nurse Time Allocation

7% assessments, 17% medication management, 19% direct care, 20% care coordination, 35% documenting, 2% personal breaks.

Current Issues in Informatics

Lack of access across systems, interoperability challenges, HIE access needs, data analytics demands, nursing shortages leading to omissions.

Emerging Technology: Genomics

Tools related to genetic-based care and decision-making.

Emerging Technology: POC Tools

Less invasive diagnostic and treatment tools.

Emerging Technology: Robotics

Robotic-assisted surgeries to enhance precision.

Emerging Technology: Biometrics

Face and voice recognition for digital identification.

Leadership in Informatics

Nurse managers need skills in informatics, quality improvement, project management, and organizational leadership.

IOM Workforce Recommendation

Calls for better data on the healthcare workforce.

Learning Health System

EHR data mining and analytics to decrease healthcare costs.