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Career Advancement Programme in Health Informatics for Health Decision Making (Advanced)

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The Career Advancement Programme in Health Informatics for Health Decision Making is an advanced certificate programme comprising 20 units. This programme is crucial as it equips learners with the necessary skills to navigate the rapidly evolving healthcare landscape, where data-driven decision-making is becoming increasingly essential.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

The industry demand for health informatics professionals is on the rise, driven by the need for accurate and timely data to inform healthcare policy and decision-making. This programme prepares learners to take on leadership roles, design and implement health information systems, and extract insights from healthcare data, ultimately enhancing their career prospects and employability.

100% ์˜จ๋ผ์ธ

์–ด๋””์„œ๋“  ํ•™์Šต

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LinkedIn ํ”„๋กœํ•„์— ์ถ”๊ฐ€

์™„๋ฃŒ๊นŒ์ง€ 2๊ฐœ์›”

์ฃผ 2-3์‹œ๊ฐ„

์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Health Informatics
  • Health Data Analytics Fundamentals
  • Big Data Analytics in Healthcare
  • Health Information Systems Design
  • Electronic Health Records (EHRs) Management
  • Healthcare Data Mining and Visualization
  • Decision Support Systems in Healthcare
  • Artificial Intelligence in Healthcare
  • Machine Learning Applications in Health Informatics
  • Cloud Computing in Healthcare
  • Healthcare Information Security and Compliance
  • Healthcare Data Governance and Management
  • Health Informatics Project Management
  • Stakeholder Analysis and Engagement
  • Healthcare Data Quality and Validation
  • Health Informatics for Population Health Management
  • Health Information Systems Evaluation and Selection
  • Health Informatics for Clinical Decision Support
  • Healthcare Data Analytics for Quality Improvement
  • Health Informatics Capstone Project

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Upon completing this advanced certificate programme, graduates can expect to pursue the following career paths: Clinical Data Analyst (15%) Health Informatics Consultant (28%) Medical Statistician (20%) Public Health Specialist (37%)

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์™œ ์‚ฌ๋žŒ๋“ค์ด ๊ฒฝ๋ ฅ์„ ์œ„ํ•ด ์šฐ๋ฆฌ๋ฅผ ์„ ํƒํ•˜๋Š”๊ฐ€

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์–ธ์ œ ์ฝ”์Šค๋ฅผ ์‹œ์ž‘ํ•  ์ˆ˜ ์žˆ๋‚˜์š”?

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ํš๋“ํ•  ๊ธฐ์ˆ 

Data analysis Health policy Decision making Informatics principles

์ฝ”์Šค ์ˆ˜๊ฐ•๋ฃŒ

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์ด ๊ณผ์ •์˜ ๋น„์šฉ์„ ์ง€๋ถˆํ•˜๊ธฐ ์œ„ํ•ด ํšŒ์‚ฌ๋ฅผ ์œ„ํ•œ ์ฒญ๊ตฌ์„œ๋ฅผ ์š”์ฒญํ•˜์„ธ์š”.

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๊ฒฝ๋ ฅ ์ธ์ฆ์„œ ํš๋“

์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CAREER ADVANCEMENT PROGRAMME IN HEALTH INFORMATICS FOR HEALTH DECISION MAKING (ADVANCED)
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London School of Planning and Management (LSPM)
์ˆ˜์—ฌ์ผ
05 May 2025
๋ธ”๋ก์ฒด์ธ ID: s-1-a-2-m-3-p-4-l-5-e
์ด ์ž๊ฒฉ์ฆ์„ LinkedIn ํ”„๋กœํ•„, ์ด๋ ฅ์„œ ๋˜๋Š” CV์— ์ถ”๊ฐ€ํ•˜์„ธ์š”. ์†Œ์…œ ๋ฏธ๋””์–ด์™€ ์„ฑ๊ณผ ํ‰๊ฐ€์—์„œ ๊ณต์œ ํ•˜์„ธ์š”.
์ƒˆ ๋“ฑ๋ก
4.8

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