Medical Database

The advancement in technology has rapidly transformed the world today, and the increase in the number of web-enabled devices has completely changed peoples ' lives especially the way they communicate. Electronic Health Record system, which is a digital copy of a patient’s medical history is one of the revolutionary ideas that have come with this advancement. Electronic Health Records (EHRs) are instantaneously updating records that are patient-centered designed with the aim of providing real-time information to the authorized users (Cohen, 2010). It contains all the patient’s information that is in the hand of the medical providers including their medical history, treatment dates and types, immunizations conducted to the patient and their dates, radiology images and all the laboratory results from the tests conducted in the past. All this information is held in a digital format and can only be updated by authorized users who are stationed in the medical facilities. Electronic records are designed to make it easy for different health providers and organizations to share patients’ information which streamlines their operations since all the necessary information and history can be accessed from any location at any time.

After decades of paper based medical records, a new type of record keeping has surfaced - the Electronic Health Record (EHR). EHR is an electronic or digital format concept of an individual’s past and present medical history. It is the principle storage place for data and information about the health care services provided to an individual patient. It is maintained by a provider over time and capable of being shared across different healthcare settings by network-connected information systems. Such records may include key administrative and clinical data relevant to that persons care under a particular provider. Examples of such records may include: demographics, physician notes, problems or injuries, medications and allergies, vital

2. using the data requirements and the business rules provided, develop a conceptual model (ERD), including attribute data types and required field lengths; and

Examination of the types of database systems that are available and how health care facilities utilize these different types of databases is the topic of this report. Giving more detail on the different types of architecture of databases and data structure will follow.

The data structure represents the logical relationships between data elements. In addition the data also determines the organizational structure, access methods, and alternative processing assosiativitas level for information.

There was no standard way of keeping patient data on healthcare applications. There was no communication between software companies on how interfaces in healthcare applications were to be built hence software applications were not compatible with each other. It is important that healthcare organizations follow the same standards when setting up their healthcare information system, thus creating interoperability so that the sharing and exchange of information within and across healthcare providers is facilitated. As a result, a volunteer group introduced the Health Level Seven Standard (HL7) for healthcare organizations to follow the same standards when developing their healthcare information system so that data can be shared seamlessly. In a nutshell, HL7 was introduced for the following

The scope of this document is to provide a design for relational database model for clinical group of 25 physicians and 1000 patients. All 25 physicians within the Horizon Medical Center will employ the EHR operated on NoSQL to offer optimal care for 1000 patients.

Analyze and then synthesize all secondary data sources. Utilize a minimum of ten different sources to be used in the presentation and final document.

Not for benefits of comprehensive care or only having to learn one system for medical professionals but for medical research. With a universal electronic medical record public health would be able to track outbreaks of illnesses, researchers could see what medications are used for what illnesses and so on. Medicine is famous for serendipity, scientists notice some of the most profound medical discoveries when they aren’t even looking for them. Just last year it was discovered that if a woman takes beta blockers while receiving treatment for breast cancer they tend to live significantly longer. This was only discovered after retrospective studies were completed. Beta blockers and breast cancer have been around since the dawn of time but no one knew that one was beneficial in treating the other. If there was a universal electronic medical record system, key words could be typed in and all of the data and outcomes would be available

Electronic Medical Records or Computerized Medical Record System what is it and what are the advantages along with the disadvantages of using this system? That is what we will discuss in this paper.

We can start at the beginning. The corporeal archive database would be created through the University of Texas student’s coursework, or extra-curricular. Meaning, the labor in development would be free. One of the goals in creation is to hold a large capacity of information. The system would be paperless and convert any other outdated document to digital form as well. Once established globally, all records ever created in the aspect of the body, from every association, would be submitted to the global corporeal archives’ maintaining organization. This organization will automatically import the documents into the system, organizing them appropriately by the patient. Every individual record would include a photo of each person. The documents in each record can be information provided by the patient, including, but not limited to physician’s notes. The papers will contain a variety of information on a patient’s health or body history. Even personal items such as significant illnesses and medical conditions, lab findings, diagnoses, and treatment plans. Other fact-based data including history of drug abuse or alcohol use, and smoking, also physical exams, allergies, medications, and any adverse reactions. The paperwork would list dates, times, attending personnel, admittance and discharge notes, and any other related reports. The system I am proposing to be financed would allow access to new and previous information among providers throughout the

The data management have been evolved over the years in well-defined phases. These phases are shown in figure 1.

The data configuration is the connection between the data framework and the client. It includes creating a particular methodology for information planning and those strides are important to put exchange information into a usable structure for inspecting so as to handle can be accomplished the PC to peruse information from a composed or printed report or it can happen by having individuals entering the information specifically into the framework. The outline of data spotlights on controlling the measure of info required, controlling the blunders, maintaining a strategic distance from deferral, evading additional steps and keeping the procedure basic. The data is planned in such a path along these lines, to the point that it gives security

Connolly and Begg (2009) defines a data model as “an integrated collection of concepts for describing and manipulating data, relations between data, and constraints on the data in an organization.” Simply, a data model is a representation of how the different types of data interact. They can be categorized into three main broad aspects, which are object based, record based and physical data model. The object based model include the Entity- Relationship, Semantic, Functional and Object Oriented Model. The record based comprise of Relational Data Model, Network Model and the Hierarchical Model. The physical data model “describe how data is stored in the computer,

Conceptual database design: the process of constructing a model of the data used in an enterprise, independent of all physical consideration. It begin with creating conceptual data model for the enterprise that is entirely independent of implementation details.