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.
Great overview of the more technical side, mostly database management, of health informatics.
this was exhirilating and intence..its worth going for...
This course is very nice. And useful for medical students
It's a good course overall. However, more practical assignments can be offered to develop marketable skills.
As a beginner learner I recommend this to everyone who wants to gain basic knowledge on Data science related to Health informatics... This video contains everything!! Thanks for such valuable video
This course is learning by doing. The assignment at the end is really beautiful approach to handle Database Research approaches.
The course content has rich of information and practical oriented. I felt more confidence after completetion of the course.
The data query or fetching information from sources can be explored more.
There were some inconsistencies in the course material. For example, the quiz in week 3 were on topics touched in week 4.
Really enjoy the real-world projects to utilize knowledge developed in the course!
very interesting course.the assignment was difficult
best information with good teaching staff during all this course i was thinking to to john hopkins university to continue my education
Showing: 20 of 51
I´m very disappointed! I´ve been waiting my final grade for a week now. I just can´t conclude this because I need someone to review my report. That´s a big flaw - there must be someone from Coursera´s team to review it! I really regret the money I spent on this.
It gave me a very in dept understanding of different DataBases and how they are being used in the modern health care space. I would recommend it to someone who has some experience in health care.
The data query or fetching information from sources can be explored more.
While I enjoy and appreciate the (paid) opportunity to learn and expand my knowledge with the highly professional team from Johns Hopkins University, I will not recommend it to anyone who wishes to gain the certificate. This specialization in general and the last course, "Culminating Project in Health Informatics", in specific are using the "peer-grade" method, which in theory is great. Still, it is not practical, so learners had to wait and bag in a shameful way for other learners to evaluate their work. Some "waiting to be reviewed" are over two years old.
the assignment in the week 4 is full of error. the references to sites like HCUP, FluView etc are non-functional. I don't see a way out and don't know how would I complete this assignment.
best information with good teaching staff during all this course i was thinking to to john hopkins university to continue my education
The material presented and the instructors ARE great , but the assigment is not toally clear, plus not all the resoruces to use are available. It was rally hard to finish this assigmente when there was not all the data for the statistics. Finally, Iwas waiting almost 2 weeks to be graded, I had to res-submit my assigment
The part where we need to submit the assignment and peer review the submissions, that part is NOT user friendly , you need to improve the textual help and instructions for the students
Detailed exploration into the complexities of managing different kind of diseases within the healthcare system has imparted me several key lessons:
Data Integration: You've learned the importance of integrating different sources of data, including incidence rates, discharge rates, costs, and mortality, to paint a comprehensive picture of the flu's impact. This has emphasized the role of data-driven decision-making in healthcare management.
Understanding Discrepancies: The exercise helped you recognize potential inconsistencies between metrics such as hospitalizations and discharges. By understanding the underlying methodologies and various factors, you were able to identify discrepancies that might have otherwise been overlooked.
Economic and Human Costs: Quantifying the financial burden and mortality rates associated with influenza has provided a sobering perspective on the very tangible effects of this common illness. It's likely instilled a deeper appreciation for the work done in the healthcare sector to prevent and manage the disease.
Real-World Application: The practical application of data analysis and interpretation to real-world scenarios likely enhanced your understanding of healthcare dynamics, emphasizing the role of proper planning, community outreach, and preventive measures.
Interconnected Responsibilities: Lastly, this course appears to have underscored the multifaceted and profound responsibilities within the medical field, reaffirming your commitment to excellence in patient care.
In short, this course have enriched my understanding of how data-driven insights can inform and enhance healthcare practices, emphasizing the nuanced and human aspects of medical care and planning. It's a testament to the intricate balance between the scientific and empathetic dimensions of healthcare.
Good course! Have enjoyed all the presenter's lectures. The peer-reviewed assignments are a little frustrating. In two courses now have had to wait a long time for grading in order to complete the course. Some peer grades have marked the assignment down with no feedback to understand why. Personally, I would like to know if I'm doing something wrong on the assignment so would like to get feedback.
Overall though, the experience has been good.
Great overview of the more technical side, mostly database management, of health informatics.
Really enjoy the real-world projects to utilize knowledge developed in the course!
Best course of this Amazing Specialization
The links listed to complete the assignment are outdated and no longer there. This course is great but really needs to have the assignment updated and monitored for student questions.
The links did not work. Coursera bots are entirely useless. No solution was provided. The content was OK. Certificate unachievable at time of writing.
The course was wonderful! However, some of the sites used for the "responding to a data request" assignment have updated. This made follwing the instructions on the assignment difficult. Additionally, there were several typos in the template/instructions for the assignment.
This course attracted me very much .I learned the different types of health and healthcare data , how to interpret queries designed for use of EHR data, how interpret the results of those queries.
Excellent!!!
Definitely the best course in this specialization. Lots of tangible and good resources for health practitioners to learn how to pull data and function within the U.S. Health Informatics universe.
Effectively conveys the interdisciplinary nature of your research, showcasing the utilization of data science techniques within the realm of health informatics. Well done!
Me gusto mucho, debido a que logre observar cosas que anteriormente no tomaba en consideración en la ejecución de algunos proyectos al obtener datos.