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.
Este curso forma parte de Programa Especializado - Informática médica
ofrecido por
Programa Especializado - Informática médicaUniversidad Johns HopkinsAcerca de este Curso
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Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 3 de 5 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
While there are no prerequisites, prior experience with, or knowledge of, health, healthcare, technology, and statistics are helpful.
Aprox. 8 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Qué aprenderás
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
Habilidades que obtendrás
Knowledge AcquisitionDecision TreeDecision-MakingDecision Support SystemHealth Informatics
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 3 de 5 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
While there are no prerequisites, prior experience with, or knowledge of, health, healthcare, technology, and statistics are helpful.
Aprox. 8 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por
Universidad Johns Hopkins
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.
Programa - Qué aprenderás en este curso
1 hora para completar
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.
1 hora para completar
5 videos (Total 61 minutos)
5 videos
Should You?11m
Should You? II: HIMSS Framework13m
Does It Work?: Testing8m
Is It Used? Does It Accomplish Goals?7m
1 ejercicio de práctica
Module 1 Quiz
1 hora para completar
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.
1 hora para completar
8 videos (Total 47 minutos)
8 videos
Types of Clinical Decision Support7m
Design Phase9m
Define Phase7m
Ideate Phase2m
Prototype Phase2m
Test Phase3m
Deploy Phase9m
1 ejercicio de práctica
Module 2 Quiz30m
2 horas para completar
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.
2 horas para completar
7 videos (Total 84 minutos)
7 videos
What's in a Rule? Part II10m
The Language of Rules5m
Data Dictionary and Taxonomy14m
Value Sets11m
Semantic Networks14m
Ontology15m
1 ejercicio de práctica
Module 3 Quiz30m
4 horas para completar
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.
4 horas para completar
9 videos (Total 70 minutos)
9 videos
Expert Knowledge13m
Decision Support Committee3m
Eliciting Expert Knowledge11m
The Literature13m
Data -- Knowledge7m
Statistical Methods11m
AI Dangers6m
Summary2m
1 ejercicio de práctica
Module 4 Quiz35m
Revisiones
Principales revisiones sobre THE OUTCOMES AND INTERVENTIONS OF HEALTH INFORMATICS
por L13 de oct. de 2019
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.
por EJ27 de jun. de 2019
I enjoyed the class sooooooo much I want to be a Mentor for the class!!
por EP24 de jul. de 2019
Thank you for such a wonderful learning experience!!!
Acerca de Programa especializado: Informática médica
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.
Preguntas Frecuentes
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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
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