Question

Currently, the hospital in which you work has implemented a new clinical practice that will reduce the amount of radiation to a child's brain. The child enters the emergency room with a head injury and a Glasgow Coma Score of 14 or more, and the child is not vomiting. It has been asked that the physician not order a CT scan. To ensure that all physicians are in compliance with the practice, a report will need to be generated for the chief marketing officers at each facility. To generate the report, you are asked to create a data collection plan. Include the following criteria into your plan:

1. Consider health informatics regulations and standards regarding the collection of personal data. Identify what data elements would be needed to pull the report from the electronic health record.

2. Discuss theories that could be utilized when collecting data.

3. Discuss the essential questions that you would ask in order to ensure that you are collecting the correct data. (Do they want the report to be on ongoing? Do they want just a single report?)

4. Explain how the data collected will improve or influence the situation.

5. Discuss how to protect the patient's identity when doing reporting.

Answer 1

1) EHRs typically include a patient's demographic information, personal and family medical history, allergies, immunizations, medications, health conditions, contact and insurance information, as well as a record of what has occurred during visits with the provider.
2) Data analysis refers to the process of mining, inspecting, cleansing, and modeling data in order to reveal useful insights and information that would have otherwise been unobtainable. Most organizations that make analysis an integral part of their day to day operations use the conclusions suggested by the data to make informed business decisions.The whole purpose of reporting is to reveal accurate insights that can then be used to answer pressing questions, test hypotheses, and disprove theories. If your data analysis process is faulty, so too will your data be. Unfortunately, this process looks different for most people, and depending on the person doing the analyzing, it can encompass a variety of techniques and approaches.The three main data theories: Exploratory Data Analysis,Confirmatory Data Analysis & Grounded Theory.
1. Exploratory Data Analysis :- Before we delve too deeply into John Tukeys Theory of Exploratory Data Analysis (EDA), it is important to note that exploratory data analysis and confirmatory data analysis complement each other, and it would not make sense to perform one method without performing the other. That said, during this stage of analysis, you would evaluate your data as a whole and look for clues and patterns, much like a detective would look at all of the evidence available to her and try to make sense of it. You may establish questions to ask, how you’re going to frame them, and determine the best way to manipulate the information to draw out important insights.
2. Confirmatory Data Analysis :- The detective can put in all the hard work she wants to come up with her own hypotheses based on the information she has at hand, but she won't make anything stick if she can’t prove each piece of evidence that she has to be accurate. Data works in much the same way.
In order for data sets to be accurate, each piece of information within them must also be accurate. CDA focuses on utilizing traditional statistical tools such as confidence, inference, and significance to evaluate the data and challenge any assumptions you made during EDA. Not only are you looking for bad data during this stage, but you are also looking for answers as to why anomalies present themselves as anomalies, and if it is possible that any deviation from the norm was just a coincidence.

3. Grounded Theory Of Analysis :- Grounded theory is a slightly more eccentric approach to data analysis in that it involves the collection and analysis of information at the same time. In utilizing this approach, analysts may hope to reveal insights as they gather more and more data. In order for this to happen, the data is analyzed from the moment data mining begins and continues until the research ends. Only once data miners believe that they have collected sufficient evidence will they move onto the next state: building a report, or in your case, a dashboard.Once a satisfying amount of information has been collected, the second half of the Grounded Theory approach begins.

3) Exploratory Data Analysis. Confirmatory Data Analysis. Grounded Theory.
4) Get early buy in from stakeholders.Start with success.Identify your helpers (data collectors).Train your helpers (data collectors).Identify appropriate methods.Identify appropriate data source.Provide confidentiality.Encourage respondents to give you the information you need.
5) Create thorough policies and confidentiality agreements.Provide regular training.Make sure all information is stored on secure systems.No mobile phones.Think about printing.