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.
Ce cours fait partie de la Spécialisation Informatique médicale
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Spécialisation Informatique médicaleUniversité Johns-HopkinsÀ propos de ce cours
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Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 3 sur 5 dans le
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Niveau débutant
While there are no prerequisites, prior experience with, or knowledge of, health, healthcare, technology, and statistics are helpful.
Approx. 7 heures pour terminer
Anglais
Sous-titres : Français, Portugais (européen), Russe, Anglais, Espagnol
Ce que vous allez apprendre
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
Compétences que vous acquerrez
Knowledge AcquisitionDecision TreeDecision-MakingDecision Support SystemHealth Informatics
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 3 sur 5 dans le
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Niveau débutant
While there are no prerequisites, prior experience with, or knowledge of, health, healthcare, technology, and statistics are helpful.
Approx. 7 heures pour terminer
Anglais
Sous-titres : Français, Portugais (européen), Russe, Anglais, Espagnol
Offert par
Université 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.
Programme du cours : ce que vous apprendrez dans ce cours
1 heure pour terminer
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 heure pour terminer
5 vidéos (Total 61 min)
5 vidéos
Motivation: Examples20 min
Should You?11 min
Should You? II: HIMSS Framework13 min
Does It Work?: Testing8 min
Is It Used? Does It Accomplish Goals?7 min
1 exercice pour s'entraîner
Module 1 Quiz
1 heure pour terminer
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 heure pour terminer
8 vidéos (Total 47 min)
8 vidéos
Types of Clinical Decision Support7 min
Design Phase9 min
Define Phase7 min
Ideate Phase2 min
Prototype Phase2 min
Test Phase3 min
Deploy Phase9 min
1 exercice pour s'entraîner
Module 2 Quiz30 min
2 heures pour terminer
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 heures pour terminer
7 vidéos (Total 84 min)
7 vidéos
What's in a Rule?11 min
What's in a Rule? Part II10 min
The Language of Rules5 min
Data Dictionary and Taxonomy14 min
Value Sets11 min
Semantic Networks14 min
Ontology15 min
1 exercice pour s'entraîner
Module 3 Quiz30 min
3 heures pour terminer
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.
3 heures pour terminer
9 vidéos (Total 70 min)
9 vidéos
Expert Knowledge13 min
Decision Support Committee3 min
Eliciting Expert Knowledge11 min
The Literature13 min
Data -- Knowledge7 min
Statistical Methods11 min
AI Dangers6 min
Summary2 min
1 exercice pour s'entraîner
Module 4 Quiz35 min
Avis
Meilleurs avis pour THE OUTCOMES AND INTERVENTIONS OF HEALTH INFORMATICS
par L13 oct. 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.
par R4 janv. 2021
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.
par DG12 juil. 2020
Wonderful content delivery and appropriate academic level for people new to informatics delivery.
par EJ27 juin 2019
I enjoyed the class sooooooo much I want to be a Mentor for the class!!
À propos du Spécialisation Informatique médicale
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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