À propos de ce cours
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100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Niveau intermédiaire

Niveau intermédiaire

Heures pour terminer

Approx. 9 heures pour terminer

Recommandé : 4 weeks of study, 2-5 hours/week...
Langues disponibles

Anglais

Sous-titres : Anglais
100 % en ligne

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Niveau intermédiaire

Niveau intermédiaire

Heures pour terminer

Approx. 9 heures pour terminer

Recommandé : 4 weeks of study, 2-5 hours/week...
Langues disponibles

Anglais

Sous-titres : Anglais

Programme du cours : ce que vous apprendrez dans ce cours

Semaine
1
Heures pour terminer
2 heures pour terminer

Why Data Quality Matters

In this module, you will be able to define data quality and what drives it. You'll be able to recall and describe four key aspects of data quality. You'll be able to explain why data quality is important for operations, for patient care, and for the finances of healthcare providers. You'll be able to discuss how data may change over time, and how finding those changes allows us to recognize and work with the issues the changes cause. You will be able to explain why requirements for data quality depend on how we intend to use that data and understand four levels of quality that may be applied for different kinds of analysis. You will also be able to discuss how all of this supports our ability to do our best work in the best ways possible....
Reading
6 vidéos (Total 34 min), 2 lectures, 1 quiz
Video6 vidéos
Module 1 Introduction2 min
Why Data is Collected and Defining Quality3 min
Why Data Quality Matters, Part 17 min
Why Data Quality Matters, Part 29 min
How Data Quality Assessment Varies in Different Data Uses7 min
Reading2 lectures
A Note From UC Davis10 min
Data quality assessment for comparative effectiveness research in distributed data networks30 min
Quiz1 exercice pour s'entraîner
Module 1 Quiz30 min
Semaine
2
Heures pour terminer
4 heures pour terminer

Measuring Data Quality

This module focuses on measuring data quality. After this module, you will be able to describe metadata, list what metadata may include, give some examples of metadata and recall some of its uses as it relates to measuring data quality. We will describe data provenance to explains how knowing the origin of a data set can help data analysts determine if a data set is suitable for a particular use. We’ll also describe 5 components of data quality you can recall and use when evaluating data. You will also learn to be able to distinguish between data verification and validation, recalling 4 applicable data validation methods and 3 concepts useful to validate data. In addition to your video lessons, you will read and discuss a scholarly article on Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research. We wrap up the module with a framework abbreviated as S-B-A-R that is often used in healthcare team situations to communicate about issues that must be solved....
Reading
7 vidéos (Total 34 min), 1 lecture, 1 quiz
Video7 vidéos
Describing Metadata in Healthcare4 min
Data Provenance in Healthcare4 min
Components of Data Quality4 min
Data Validation Methods5 min
A Framework for Validating and Verifying Data6 min
The SBAR Methodology7 min
Reading1 lecture
Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research45 min
Quiz1 exercice pour s'entraîner
Module 2 Quiz30 min
Semaine
3
Heures pour terminer
2 heures pour terminer

Monitoring, Managing and Improving Data Quality

In this module, we focus on monitoring, managing, and improving data quality. You will be able to explain how to monitor data on a day-to-day basis to see that it remains consistent. You will explain how measures can help us monitor the patient health and the quality of care they receive over time. Also, you will be able to discuss establishing the culture of quality throughout the data lifecycle and improving data quality from the baseline by posing questions to determine a baseline of data quality. You will be able to manage data quality through expected and unexpected changes, along with tracking monitoring strategies along the data pipeline. After this module, you will be able to identify and fix common deficiencies in the data and implement change control systems as a monitoring tool. You’ll also recall several best practices you can apply on the job to monitor data quality in the healthcare field. ...
Reading
5 vidéos (Total 27 min), 2 lectures, 1 quiz
Video5 vidéos
Establishing the Culture of Quality throughout the Data Lifecycle4 min
Improving Data Quality from the Baseline7 min
Managing Data Quality: Expected and Unexpected Changes5 min
Monitoring Strategies Along the Data Pipeline8 min
Reading2 lectures
Managing Chaos Part 1: Putting a Change Control Process in Place15 min
Managing Chaos Part 2: Change Control Decision Making15 min
Quiz1 exercice pour s'entraîner
Module 3 Quiz30 min
Semaine
4
Heures pour terminer
5 heures pour terminer

Sustaining Quality through Data Governance

IIn this module, we focus on sustaining quality through data governance. We will define data governance and consider why it matters in healthcare. You will discuss who makes up data governance committees, how these committees function relative to data analysts and describe how stakeholders work together to ensure data quality. You’ll be able to describe how high-quality data is a valuable asset for any business. You will also define data governance systems. You will recall several ways data can be repurposed and explain how data governance maintains data quality as it is repurposed for a use other than that for which it was originally gathered. In addition to your video lessons, you will read and discuss the article, Big Data, Bigger Outcomes and practice applying some of these important concepts....
Reading
6 vidéos (Total 28 min), 3 lectures, 2 quiz
Video6 vidéos
Defining Data Governance in Healthcare5 min
Why Data Governance Matters in Healthcare8 min
Data Governance Committees in Healthcare6 min
Data Governance Systems in Healthcare5 min
Course Summary58s
Reading3 lectures
Big Data, Bigger Outcomes30 min
Welcome to Peer Review Assignments!10 min
Why Doctors Hate Their Computers50 min
Quiz1 exercice pour s'entraîner
Module 4 Quiz30 min

Enseignant

Avatar

Doug Berman

Director, Data Acquisition and Architecture
UC Davis Health System

À propos de Université de Californie à Davis

UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact....

À propos de la Spécialisation Health Information Literacy for Data Analytics

This Specialization is intended for data and technology professionals with no previous healthcare experience who are seeking an industry change to work with healthcare data. Through four courses, you will identify the types, sources, and challenges of healthcare data along with methods for selecting and preparing data for analysis. You will examine the range of healthcare data sources and compare terminology, including administrative, clinical, insurance claims, patient-reported and external data. You will complete a series of hands-on assignments to model data and to evaluate questions of efficiency and effectiveness in healthcare. This Specialization will prepare you to be able to transform raw healthcare data into actionable information....
Health Information Literacy for Data Analytics

Foire Aux Questions

  • Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.

  • Lorsque vous vous inscrivez au cours, vous bénéficiez d'un accès à tous les cours de la Spécialisation, et vous obtenez un Certificat lorsque vous avez réussi. Votre Certificat électronique est alors ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.

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