Master data-driven healthcare. Learn to manage and utilize health information to improve patient outcomes, optimize healthcare delivery, and make informed decisions.

Training on Data-Driven Healthcare: Managing and Utilizing Health Information

Course Overview

This course is designed to equip healthcare professionals with the skills and knowledge necessary to effectively manage data in healthcare settings. The course covers essential data management practices, tools, and techniques to ensure data accuracy, security, and compliance with healthcare regulations. Participants will learn how to handle large datasets, manage patient records, and utilize data for informed decision-making. The course emphasizes the importance of data quality and integrity in improving patient care and operational efficiency.

Course Duration

10 Days

Who Should Attend

  • Healthcare professionals including doctors, nurses, and administrative staff
  • Health information managers and medical record technicians
  • Healthcare IT professionals
  • Public health workers
  • Clinical researchers and healthcare data analysts
  • Healthcare administrators and managers responsible for data oversight
Course Level: Intermediate

Course Objectives

By the end of this course, participants will be able to:

  • Understand the fundamentals of data management in healthcare.
  • Implement best practices for data collection, storage, and retrieval.
  • Ensure data security and compliance with healthcare regulations such as HIPAA.
  • Utilize data management tools to analyze and interpret healthcare data.
  • Improve patient care and operational efficiency through effective data management.
  • Apply data quality management techniques to maintain data integrity.
  • Develop strategies for managing large healthcare datasets.
  • Integrate healthcare data management practices with electronic health records (EHR) systems.
  • Use data to support evidence-based decision-making in healthcare settings.
  • Manage and protect patient data while maintaining confidentiality.

Course Outline:

Module 1: Introduction to Healthcare Data

  • Types of healthcare data (clinical, administrative, financial)
  • Data sources (electronic health records, claims data, registries)
  • Data lifecycle (collection, storage, retrieval, analysis, dissemination)

Module 2: Data Quality and Management

  • Data quality principles and standards
  • Data cleaning and standardization
  • Data integration and interoperability
  • Data governance and stewardship

Module 3: Data Security and Privacy

  • Healthcare data privacy regulations (HIPAA, GDPR, etc.)
  • Data encryption and access controls
  • Risk assessment and management
  • Incident response and reporting

Module 4: Data Analysis Fundamentals

  • Descriptive statistics and data visualization
  • Data mining techniques
  • Predictive modeling and machine learning basics

Module 5: Healthcare Data Analytics

  • Patient population health management
  • Quality improvement using data
  • Healthcare operations optimization
  • Financial analysis and cost-effectiveness

Module 6: Clinical Decision Support Systems

  • Introduction to CDSS
  • Knowledge representation and reasoning
  • CDSS development and implementation
  • Evaluation of CDSS effectiveness

Module 7: Health Informatics and Information Systems

  • Overview of health information systems
  • Electronic health records (EHR)
  • Clinical decision support systems (CDSS)
  • Population health management systems

Module 8: Big Data and Healthcare

  • Introduction to big data concepts
  • Big data technologies (Hadoop, Spark)
  • Applications of big data in healthcare
  • Ethical considerations

Module 9: Data-Driven Research and Innovation

  • Research methodologies using healthcare data
  • Data-driven healthcare innovation
  • Dissemination of research findings

Module 10: Leadership and Communication

  • Data-driven leadership and decision-making
  • Communicating data insights to stakeholders
  • Change management in a data-driven environment
Customized Training

This training can be tailored to your institution needs and delivered at a location of your choice upon request.

Requirements

Participants need to be proficient in English.

Training Fee

The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.

Certification

A certificate from Ideal Workplace Solutions is awarded upon successful completion.

Accommodation

Accommodation can be arranged upon request. Contact via email for reservations.

Payment

Payment should be made before the training starts, with proof of payment sent to [email protected].
For further inquiries, please contact us on details below:

Email: [email protected]
Mobile: +254759708394

Register for the Course

Classroom Training Schedules


April 2025
Date Duration Venue Fee Enroll
7 Apr - 18 Apr 2025 10 days Nakuru, Kenya KES 160,000 | USD 2,000 Register
14 Apr - 25 Apr 2025 10 days Kisumu, Kenya KES 160,000 | USD 2,000 Register
21 Apr - 2 May 2025 10 days Nairobi, Kenya KES 160,000 | USD 2,000 Register
21 Apr - 2 May 2025 10 days Mombasa, Kenya KES 160,000 | USD 2,000 Register
May 2025
Date Duration Venue Fee Enroll
5 May - 16 May 2025 10 days Nakuru, Kenya KES 160,000 | USD 2,000 Register
12 May - 23 May 2025 10 days Kisumu, Kenya KES 160,000 | USD 2,000 Register
19 May - 30 May 2025 10 days Nairobi, Kenya KES 160,000 | USD 2,000 Register
19 May - 30 May 2025 10 days Mombasa, Kenya KES 160,000 | USD 2,000 Register

Online Training Schedules


March 2025
Date Duration Session Fee Enroll
17 Mar - 28 Mar 2025 10 days Full-day KES 110,000 | USD 1,100 Register
April 2025
Date Duration Session Fee Enroll
7 Apr - 18 Apr 2025 10 days Full-day KES 110,000 | USD 1,100 Register
For customized training dates or further enquiries, kindly contact us on +254759708394 or email us at [email protected].

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