← Back to Products
Healthcare: Technology Landscape and Systems
COURSE

Healthcare: Technology Landscape and Systems

INR 59
0.0 Rating
📂 Industry Enablement for IT

Description

Comprehensive understanding of healthcare technology ecosystem including electronic health records, artificial intelligence applications, telehealth platforms, medical devices, and emerging digital health technologies that transform healthcare delivery and operations.

Learning Objectives

IT professionals will analyze the healthcare technology landscape, evaluate EHR/EMR systems capabilities, understand AI and machine learning applications in healthcare, assess telehealth and digital health innovations, and design integrated technology solutions that improve patient outcomes, operational efficiency, and support healthcare digital transformation initiatives.

Topics (14)

1
Healthcare Interoperability Standards and Protocols

Technical analysis of healthcare interoperability standards including HL7, FHIR, DICOM, IHE profiles, and implementation strategies for seamless health information exchange across systems.

2
Mobile Health (mHealth) Applications and Platforms

Study of mHealth applications including patient engagement apps, clinical mobile applications, remote monitoring tools, and integration strategies with healthcare IT infrastructure.

3
Blockchain and Distributed Ledger Technologies in Healthcare

Analysis of blockchain use cases in healthcare including secure health information exchange, pharmaceutical supply chain tracking, patient identity management, and smart contracts for healthcare transactions.

4
Healthcare Technology Ecosystem Overview

Introduction to the healthcare technology ecosystem including clinical systems, administrative systems, patient engagement technologies, and emerging digital health platforms.

5
Electronic Health Records (EHR) Systems

Comprehensive study of EHR systems including core functionalities, clinical documentation, order management, decision support, and interoperability capabilities that support comprehensive patient care.

6
Electronic Medical Records (EMR) vs EHR Systems

Detailed comparison of EMR and EHR systems including functionality differences, interoperability capabilities, and strategic considerations for healthcare organizations in system selection.

7
Artificial Intelligence and Machine Learning in Healthcare

Analysis of AI/ML use cases in healthcare including medical image analysis, natural language processing for clinical documentation, predictive modeling for patient outcomes, and drug discovery applications.

8
Telehealth and Digital Health Platforms

Comprehensive study of telehealth modalities including video conferencing, remote monitoring devices, mobile health applications, and integrated platforms that support virtual healthcare delivery.

9
Medical Device Integration and IoT in Healthcare

Study of medical device integration including patient monitoring systems, diagnostic equipment connectivity, IoT sensors in healthcare, and data integration challenges and solutions.

10
Healthcare Data Analytics and Business Intelligence

Analysis of healthcare analytics applications including clinical dashboards, population health analytics, operational reporting, and predictive analytics for healthcare improvement.

11
Healthcare Enterprise Resource Planning (ERP) Systems

Study of healthcare-specific ERP solutions that integrate administrative functions including finance, HR, supply chain, and their interfaces with clinical information systems.

12
Healthcare Cybersecurity and Information Security

Analysis of healthcare-specific cybersecurity threats, security frameworks, risk management strategies, and technology solutions for protecting healthcare information and systems.

13
Cloud Computing in Healthcare

Study of cloud computing applications in healthcare including infrastructure as a service, platform solutions, software as a service, and compliance considerations for healthcare cloud adoption.

14
Digital Therapeutics and Software as Medical Devices

Study of digital therapeutics including software-based interventions, clinical validation requirements, FDA regulatory pathways, and integration with clinical care workflows.