About this Course
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다음 전문 분야의 4개 강좌 중 4번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

초급 단계

While there are no prerequisites, prior experience with, or knowledge of, health, healthcare, technology, and statistics are helpful.

완료하는 데 약 13시간 필요

권장: 5 hours/week...

영어

자막: 영어

배울 내용

  • Check

    Articulate different forms of clinical and population level data.

  • Check

    Describe the data required to answer a healthcare information problem.

  • Check

    Distinguish between data questions and data queries when dealing with a healthcare information problem.

귀하가 습득할 기술

Data ScienceDatabase (DBMS)Data AnalysisHealth Informaticsdata querying

다음 전문 분야의 4개 강좌 중 4번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

초급 단계

While there are no prerequisites, prior experience with, or knowledge of, health, healthcare, technology, and statistics are helpful.

완료하는 데 약 13시간 필요

권장: 5 hours/week...

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 2시간 필요

Introduction to Databases and Data Types

In this module, we will begin by introducing and defining databases, and placing the role of databases within the context of clinical informatics. We will continue by introducing the common health data types such as demographics, diagnosis, medications, procedures, and utilization data. We will finish this module by reviewing the emerging health data such as lab orders/results, vital signs, social data, and patient-generated data.

...
6 videos (Total 95 min), 1 quiz
6개의 동영상
Common Data Types II14m
Common Data Types III11m
Emerging Data Types18m
1개 연습문제
Module 1 Quiz30m
2
완료하는 데 2시간 필요

Data Sources and Data Challenges

In this module, we review the data specifications extracted from insurance claims and electronic health records. We will then discuss the common challenges in using health data, specifically issues with data quality, data interoperability, and data system architectures. Finally, we will describe the “Big Data” challenges of health data and explain some of the data problems that may hinder analytical efforts.

...
5 videos (Total 88 min), 1 quiz
5개의 동영상
Data Challenges II15m
Data Challenges III18m
1개 연습문제
Module 2 Quiz30m
3
완료하는 데 1시간 필요

Formulating Data Questions

With this understanding of the data available, it’s time to see how to turn questions you and your colleagues will have into queries the database can understand. Besides getting rules of thumb for doing this translation, you will also be introduced to three online tools available to test some of these skills. You will also watch an interview with Sam Meiselman, course instructor and the data manager in charge of the Johns Hopkins Enterprise Data Warehouse, who has to use these skills on a daily basis.

...
6 videos (Total 46 min), 1 quiz
6개의 동영상
i2b2 Demo15m
HealthData.Gov Demo6m
HCUPNet Demo6m
1개 연습문제
Module 3 Quiz30m
4
완료하는 데 5시간 필요

Real World Applications of Data Science in Health Informatics

To send home the recurring message on the challenges and art of translating questions into queries, you will see interviews with two professionals: One who comes from the data management side of the equation, and one who comes from the domain. They will give you perspectives that are both similar (the need to understand the problem for which the data are being retrieved) and different (the multiplicity of data available vs the richness of the domain problem).

...
8 videos (Total 77 min), 2 quizzes
8개의 동영상
Interview with Bonnie Woods18m
Interview with Brandyn Lau, Part I7m
Interview with Brandyn Lau, Part II12m
Interview with Brandyn Lau, Part III8m
Wrap Up1m
1개 연습문제
Module 4 Quiz30m

강사

Avatar

Hadi H. K. Kharrazi, MD, Ph.D

Assistant Professor
Bloomberg School of Public Health
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Sam Meiselman

Senior Software Engineer
Enterprise Data Warehouse

존스홉킨스대학교 정보

The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world....

의료 정보학 전문 분야 정보

This Specialization is intended for health professionals, administrators, health IT staff, vendors, startups, and patients who need or want to participate in the health IT/informatics process. Throughout the five courses of this Specialization, you will learn about the social and technical context of health informatics problems, how to successfully implement health informatics interventions, how to design a health informatics solution for decision support, and how to answer a health informatics problem through data retrieval and analysis....
의료 정보학

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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