Electronic Health Record

Topics: Electronic health record, Managed care, Health care Pages: 5 (827 words) Published: April 12, 2015

Electronic Health Record
Student’s Name
Electronic Health Record
The EHR selection and decision-making process entails choosing the right hardware and software to facilitate the project. It entails considering the cost of the entire project, not only financially, but also how the entire project will be managed; also meaning the human resource that will be needed to implement the project. I would incorporate my findings into the EHR selection and decision-making process by considering what it will cost for the project to be fruitful. I would consider who will be involved in the project and what part each person will play. I would consider all the resources required to make the project feasible (Busch, 2008). Dissimilar categories of data structures are preferred to dissimilar categories of applications. A software application termed as a database management system in a computer is a software that intermingles with the live ware, software and the database itself to acquire and assess data. This is a category of data structure that is very useful in setting up an EHR system because most of the data collected and stored in an EHR will need such a system to handle and retrieve data and information. A data set is another category of data structures. A data set is a compendium of data. Often, a data set parallels the capacities of a database table, or a statistical data matrix, where each column of table is a representation of a particular variable, and each row parallels a given part of the data set involved. Once data has been collected and recorded in an EHR system, the data set will be implemented is the recording process to organize the data accordingly. A data warehouse is a structure used for conveying and analyzing data. Data warehouses are pivotal repositories of cohesive data from more incongruent sources. Data warehouses are used to store latest and historical data and utilized for generating trending reports for principal management reporting like annual and quarterly comparisons. Data warehouses can be used to store longtime records of patients and recording data that be used to assess patient medical records on a long-term basis, in an EHR project. A data repository is a simple way to set up a secondary level of data storage that can consist of multiple, networked data storage technologies functional on assorted operating systems, where data that no longer needs to be in main storage is secured, categorized in relation to captured metadata, processed, de-duplicated, and then eradicated, automatically, based on date service level goals and prerequisite. According to Sinha (2012), a data repository can be utilized in an EHR system to manage information about patients who are no longer needed in the system or who may still be important but it has been a while since their information was accessed in the system.

. - See more at: http://corporate.findlaw.com/law-library/managed-care-contracts-key-provisions-for-providers.html#sthash.znctwtnh.dpuf

- See more at: http://corporate.findlaw.com/law-library/managed-care-contracts-key-provisions-for-providers.html#sthash.znctwtnh.dpuf

The contract between a physician or other health care professional and a managed care organization (MCO) such as a provider-sponsored network, integrated delivery system, health maintenance organization, or other health care plan, is the fundamental document which frames, defines and governs their relationship. The relationship between a doctor and his or her patient required no formal, written engagement. The doctor is responsible for rendering medical services to the patient according to the community's standards of practice, and in turn, the patient was responsible for paying the physician's usual and customary fees.

Week 2 post
Each MCO contract may vary significantly when it comes to provider responsibilities. Therefore an important goal for any provider during the contract process is to understand the...

References: Busch, R. S. (2008). Electronic Health Records : an Audit and Internal Control Guide. Hoboken: John Wiley & Sons.
Sinha, P. K. (2012). Electronic health records : standards, coding systems, frameworks, and infrastructures. Hoboken, N.J: John Wiley & Sons.
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