The Benefits Of Patient Generated Health Data

The health record is a collection of information about a patient’s past and present health. The primary purpose of the health record is to document the health history of the patient. It helps in patient care management and patient care support process. Moreover, record’s primary purpose is to get information for billing and reimbursement. The secondary purpose of the health record is to provide a legal record of care given and act as a source of data to support clinical audit, research, resource allocation, performance monitoring, epidemiology and service planning. Sometimes health information will be de-identified before it is used for these secondary

Secondary research is done to research the data collection through the study of information which has already being researched from the hospital websites, articles, discharge and intake records or through primary research.

Secondary data using existing data, as related to new data that is being gathered or have been recently gathered. Information already exist on the topics that are being studied. In quantitative approaches, it is this knowledge that assists one with finding the hypothesis to be examined in the new research. It opens the door for the researcher to further explore and generate new questions for the study. This also allows the researcher to find gaps in the research process. Secondary data sources can be acquired via the

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

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

Health Information, therefore, is not just the patient data but the presentation of this data in a useful form and

How data is captured varies from institution to institution. In order for data to be well understood, data should have a definition that is consistent and comprehensively understood by all users of the data. Standardization of how data is captured is critical to allow the production and export of data needed to support quality assessment, decision support, exchange of data for patients with multiple health care providers and public health surveillance. Patient safety and quality improvement are dependent upon embedded clinical guidelines that promote standardized, evidence-based practices. Unless we can achieve standardization with terminology, technologies, apps and devices, the goals of EHR implementation will not become a

Electronic Health Record (EHR) is an electronic version of a patients medical history, that is maintained by the provider over time, and may include all of the key administrative clinical data relevant to that persons care under a particular provider, including demographics, progress notes, problems, medications, vital signs, past medical history, immunizations, laboratory data and radiology reports (Ehlke & Morone, 2013). The incentives from both of this articles will result in the delivery of quality care to many individuals in

Few days after the treatment, the patient is ready to be discharged from the hospital. Although the patient is recovered, he needs a follow-up care because pulmonary hypertension treatments are complex according to the Mayo Clinic (2012). At this point of the process, I think the use of uniform hospital discharge data set (UHDDS) would be appropriate because it would allow the collection of patient data. In case, UHDDS principles are ignored the patient data reporting would be inaccurate (Giannangelo, 2010). If this happens, it would be complex to process to the follow-up care perfectly.

There are many types of data collected, such as, Demographic, financial, socioeconomic, and clinical data are collected from patients so that the healthcare providers of services to the patient are able to assess the history of whatever disease the patients is suffering from and how is to be treated. Data collection in the facility is well organized in a way that promotes shared assessment, treatment and communication. Nurses and front row staffs collects raw data’s from the patient, and. The Heath Information Manager and team are the facility are responsible in analyzing and presenting the data collected in a meaning and easily understandable way to served the specific purposes for which it was collected. Examples of such data are, patient’s name, height, weight, gender, allergies, and third party

“… longitudinal electronic record of patient health information generated by one or more encounters in any care delivery setting”. Included in this information are patient demographics… reports. The EHR automates and streamlines the clinician 's workflow. The EHR has the ability to generate a complete record of a clinical patient encounter, and related activities directly or indirectly via interface—including evidence-based decision support, quality management, and outcomes reporting.”(GAO, 2010)

To assess the quality of health care it is providing Quality healthcare depends on the availability of condition data. Poor documentation, imprecise statistics, and insufficient communication can result in errors and adverse incidents. Inaccurate data intimidate patient well-being and can lead to expand costs, inefficiencies, and poor presentation. Further, mistaken or incomplete data also discourage health information exchange and obstruct clinical research, production development, and quality initiatives. The impact of poor data on care is only increased by the implementation. A consequential electronic health record ameliorates the capability for healthcare providers to enact evidence-based comprehension management and decision making for

“Secondary health records are those that are created by abstracting relevant details from the primary records” (Gartee, 2011). Secondary health records are some of the most important resources in a healthcare facility. These records are used for improvement within the facility, insurance claim reimbursement among other important functions. More specifically, the master patient index is one form of secondary health records that helps to prevent duplicate patient charts and provide increased accuracy among medical record data across the various departments and facilities. A master patient index that is accurate, whether it is in a paper or electronic format, “may be considered the most important resource in a healthcare facility because it is the link that tracks patient, person,

Personal health records (PHRs). PHRs allow patients to monitor and track of information from provider visits. PHR can also follow the trajectory of food intake,

Once data is collected it can be used by numerous health care providers and decision makers to monitor the health and needs of individuals and populations, as well as contribute to the analysis of the health system. Users including hospitals, health care practitioners, government, professional associations, researchers, media, students, and the general public. Having the correct and up-to-date coded data is critical, not only for the delivery of high-quality clinical care, but also for continuing health care, maintaining health care at an optimum level, for clinical and health service research, and planning and management of