For clinical data science to be effective in healthcare—to achieve the outcomes desired—it must translate into decision support of some sort, either at the patient, clinician, or manager level. By the end of this course, students will be able to articulate the need for an intervention, to right size it, to choose the appropriate technology, to describe how knowledge should be obtained, and to design a monitoring plan.
제공자:
의료 정보학 특화 과정존스홉킨스대학교이 강좌에 대하여
최근 조회 8,035회
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 5개 강좌 중 3번째 강좌:
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 7시간 필요
영어
자막: 프랑스어, 포르투갈어 (유럽), 러시아어, 영어, 스페인어
배울 내용
Identify opportunities for healthcare informatics interventions.
Apply a structured framework for articulating the components of decision support.
Design knowledge acquisition for decision support.
Outline a health informatics solution for decision support
귀하가 습득할 기술
Knowledge AcquisitionDecision TreeDecision-MakingDecision Support SystemHealth Informatics
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 5개 강좌 중 3번째 강좌:
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 7시간 필요
영어
자막: 프랑스어, 포르투갈어 (유럽), 러시아어, 영어, 스페인어
제공자:
존스홉킨스대학교
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.
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 1시간 필요
Knowing Where to Intervene
In this module, you will be introduced to the course through a range of decision support interventions used in health care. We will examine the Five Rights of decision support and go on to discuss the basics for deciding whether to build an intervention and, having done so, how to evaluate it.
완료하는 데 1시간 필요
5개 동영상 (총 61분)
완료하는 데 1시간 필요
Defining Decision Support
In this module, we will focus on issues of design, both for decision support and as they apply more broadly across multiple environments.
완료하는 데 1시간 필요
8개 동영상 (총 47분)
완료하는 데 2시간 필요
Using Transactional and Summative Data and Knowledge for Decision Support
In this module, we return to decision support, focusing on rules-- the key structure in most decision support. We'll provide a key framework for making sure you have all the minimum components for ensuring a successful implementation. We'll also address issues of languages used by rules and how to keep rules consistent within and between institutions.
완료하는 데 2시간 필요
7개 동영상 (총 84분)
완료하는 데 3시간 필요
Eliciting and Creating Knowledge for Decision Support
In this module, we will go behind the scenes of decision support, examining where and how we get the knowledge that drives decision support --including data science-- for generating knowledge from data.
완료하는 데 3시간 필요
9개 동영상 (총 70분)
검토
THE OUTCOMES AND INTERVENTIONS OF HEALTH INFORMATICS의 최상위 리뷰
L 제공2019년 10월 13일
Learned that there are different ways to input and access information through a system. Also the types of thought processes on how to achieve the outcome.
R 제공2021년 1월 4일
This was a great course. It was indepth and very thorough for my beginner skillset. I have enjoyed Dr. Lehmann's courses a great deal.
DG 제공2020년 7월 12일
Wonderful content delivery and appropriate academic level for people new to informatics delivery.
EJ 제공2019년 6월 27일
I enjoyed the class sooooooo much I want to be a Mentor for the class!!
의료 정보학 특화 과정 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.
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