Health data are notable for how many types there are, how complex they are, and how serious it is to get them straight. These data are used for treatment of the patient from whom they derive, but also for other uses. Examples of such secondary use of health data include population health (e.g., who requires more attention), research (e.g., which drug is more effective in practice), quality (e.g., is the institution meeting benchmarks), and translational research (e.g., are new technologies being applied appropriately). By the end of this course, students will recognize the different types of health and healthcare data, will articulate a coherent and complete question, will interpret queries designed for secondary use of EHR data, and will interpret the results of those queries.
Este curso forma parte de Programa Especializado - Informática médica
The Data Science of Health Informatics
ofrecido por
Acerca de este Curso
Qué aprenderás
Articulate different forms of clinical and population level data.
Describe the data required to answer a healthcare information problem.
Distinguish between data questions and data queries when dealing with a healthcare information problem.
Habilidades que obtendrás
Data ScienceData Analysisdata querying
Programa - Qué aprenderás en este curso
Semana
12 horas para completar
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 minutos), 1 quiz
6 videos
Databases in Clinical Informatics19m
Common Data Types I8m
Common Data Types II14m
Common Data Types III11m
Emerging Data Types18m
1 ejercicio de práctica
Module 1 Quiz30m
Semana
22 horas para completar
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 minutos), 1 quiz
5 videos
Population-Level Data Sources19m
Data Challenges I17m
Data Challenges II15m
Data Challenges III18m
1 ejercicio de práctica
Module 2 Quiz30m
Semana
31 hora para completar
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 minutos), 1 quiz
6 videos
Formulating a Data Query II6m
Real World Data Questions7m
i2b2 Demo15m
HealthData.Gov Demo6m
HCUPNet Demo6m
1 ejercicio de práctica
Module 3 Quiz30m
Semana
45 horas para completar
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 minutos), 2 quizzes
8 videos
Introduction50s
Interview with Sam Meiselman15m
Interview with Sam Meiselman, Part II12m
Interview with Bonnie Woods18m
Interview with Brandyn Lau, Part I7m
Interview with Brandyn Lau, Part II12m
Interview with Brandyn Lau, Part III8m
Wrap Up1m
1 ejercicio de práctica
Module 4 Quiz30m
Instructores
Hadi H. K. Kharrazi, MD, Ph.D
Assistant ProfessorBloomberg School of Public Health
Sam Meiselman
Senior Software EngineerEnterprise Data Warehouse
Acerca de 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.
Acerca del 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
¿Cuándo podré acceder a las lecciones y tareas?
Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.
¿Qué recibiré si me suscribo a este Programa especializado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
¿Cuál es la política de reembolsos?
¿Hay ayuda económica disponible?
¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.
Coursera brinda acceso universal a la mejor educación del mundo, al asociarse con las mejores universidades y organizaciones, para ofrecer cursos en línea.
© 2019 Coursera Inc. Todos los derechos reservados.
