Healthcare has evolved over past decades and continues to remain an issue of concern for individuals everywhere. Effectively managing data is important to improving the performance in the health care system. Accumulating, evaluating, deciphering and acting on data for particular performance measures allow health professionals to identify shortcomings and make the necessary adjustment, and track the outcome.
McDonald (1997) points out that health care data is siloed in multiple areas that are inaccessible to others. This kind of management of patient data does not serve the patient well. It is for this reason that SCEMS approached Providence and Swedish hospitals to propose implementation of HDE. Moreover, as stated in the McDonald article a feasible way to integrate data from disparate sources is through the use of interfaces such as the HDE. In addition, a problem that exists in the integration of these two data sources is the fact that the hospital system communicates via the standard HL7 language, while the pre-hospital system communicates via XML. Fortunately, the HDE structure accounts for this difference by translating back and forth between the two different languages.
1. Aggregate data can be used to detect patterns or similarities from numerous groups of patients which help healthcare providers determine plan of care or prevention of illnesses and better management of disease processes. Aggregate data can help patients and physicians keep track of vital signs and blood sugar on a daily basis so if there is a need for a different dose or type of medication, it is caught and corrected early. Aggregate data can also be used in research as specific information can easily be drawn from a large data bank for analytics and research purposes. Disadvantages of aggregate data include some patients not being able to interpret the information gathered and sometimes platforms for which patients may use to access their information may not be user friendly which in turn limits patient’s participation in their
Individuals interested in the field of health information technology (HIT) are presented with a vast array of HIT related jobs and professions to choose from, many of which are highly specialized, such as the certified tumor registrar (CTR). A cancer registry is a compilation of all cancer related data on all cancer patients, including their demographics, medical histories, diagnostic findings, and follow up assessments. This information provides health care professionals with the necessary data and tools to successfully develop, implement, assess and evaluate current and future treatments and therapies for the overall goal of preventing and controlling cancer (NCRA, 2002). The registry is also a key tool in providing necessary data to
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 purpose of the discussion is to reflect on Dr. Simpson’s video concerning who owns the patient data assimilates the personal health records (PHR) and the (EHRs) platforms. Some visions and fears relate to the integrated records. It is necessary to discover one benefit or challenge when using the integrated records. Determine the PHRs considered benefit or challenge for the healthcare professionals and patients.
Operational electronic health record systems (EHR) can provide the information necessary on demand, short of troublesome trial and error of probing around physical files. From the first steps of designing the system, the enquiries that will follow are predicted and accommodated. Similar to an office filing system, the appropriateness of a detailed patient record system is often adjudicated by how much time and effort are necessary to locate and recover data. Thus, an intimate cog of the design of an electronic health record system is its efficient process for access, retrieval, and reporting.
The implementation of correct systems required a team including expert leader’s approach. Effective communications between leaders of Doctor’s Medical Center, end users, the vendors, and the department staff is important when collecting data. For data transfer, authority need to assure that the new system communicate with the existing system. The administrative leaders guide the project activities, data protocol collection, clearly understand roles and responsibilities, and set up policy and procedure. Leader guide the staff to pursue the desire to achieve the goal. In
While many people believe that health information exchange is a relatively new thing, it has been around for over four decades. However, in the beginning phases it was nowhere near as complex as it is now. Sometime in the middle of the 60’s, an early form of a data processing system was formed and it focuses on clinical data management. This system began to catch on even though they were nowhere near as sophisticated and or functional as the health records in today’s time.
A prestigious university has recently implemented a consolidation strategy that will require it to centralize their student records. In order to move forward, the local university will need to develop a data model that will retain student records and perform various data extract transform and load (ETL) processes. As the database consultant it will be necessary to assist with the development of a design strategy for student records. The following has been determined after meeting with various university subject matter experts:
The process of migrating from paper-based charts to electronic records is a complicated process that requires dealing with all issues. The process has no particular route, but strategic planning and execution are necessary so that all risk issues get dealt before they happen. The article proposes changes made depending on the ambulatory care. The goals must become tactical, reasonable and measurable. The process requires a timeline that’s needed to ensure human resource and financial resources meet all the demands. An assessment of the hospital’s readiness determines the software and hardware gap, employee competencies and training, and human technology interaction.
Health information management involves the practice of maintaining and taking care of health records in hospitals, health insurance companies and other health institutions, by the use of electronic means (McWay 176). Storage of medical information is carried out by health information management and HIT professionals using information systems that suit the needs of these institutions. This paper answers four major questions concerning health information systems.
In health care, patients’ lives are in the hands of the health care practitioners, health care organizations, insurance companies, and to some degree, even health care technology. The growth and future implications of evidence-based medicine (EBM) through improvement of technology in health care are important today, because health care practitioners and organizations want to ultimately decrease cost, improve quality of care, and increase access to health care (Glandon, Smaltz, & Slovensky, 2014, p. 28). One way to achieve these goals is through the implementation and improvement of EBM and interoperability which will enhance the efficiency of work production resulting in these positive outcomes. According to Glandon, Smaltz, and Slovensky (2014), EBM is an “information management and learning strategy that seeks to integrate clinical expertise with the best evidence available to make effective clinical decisions that will ultimately improve patient care,” (p. 6). “Interoperability is the ability of different information and communications technology systems and software applications to communicate, to exchange data accurately, effectively, and consistently, and to use information that has been exchanged,” (Iroju, Soriyan, Gambo, & Olaleke, 2013, para. 1). Without interoperability and EBM, fundamental data and information such as patient records cannot be easily shared across and within enterprises having a direct impact on the quality of care. It
Data collection can be subdivided into three categories with service type, department, and floor. This collection of data is valuable tool that managers need to have in order to understand the flow of business within each department. With the collection of data it will allow managers to calculate the volumes of patients during specific times.