Big Data And Health Records

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

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

Worldwide use of computer technology in medicine began in the early 1950s with the rise of the computers. In 1949, Gustav Wagner established the first professional organization for informatics in Germany. Medical informatics research units began to appear during the 1970s in Poland and in the U.S. Since then the development of high-quality health informatics research, education and infrastructure has been a goal of the U.S. and the European Union. (NYU graduate training program, 2010) Changes in the healthcare environment produced fundamental shifts in the delivery of healthcare. The altering landscape of healthcare is creating a huge demand for health data analytics. The growth and maturity of healthcare informatics over the past decade has been a prime catalyst in positioning the healthcare industry for the changes posed by reform measures. By understanding the process of analytics, clinical informatics specialists say healthcare providers have the insight necessary to make the process adjustments in the future.(Riskin, 2013)

“… 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)

EHR is a digital collection of health records from a single patient. It records and maintains updated information in a timely fashion. This information is then easily passed, and shared to various healthcare entities. Where it is easily accessible from remote sites to many people at the same time. Electronic Health Records (EHR) include: data on a patient’s medical history, allergies, medication, demographics, laboratory test results, and personal

Electronic Health Records (EHR), is a similar system but does more than an EMR in the sense of collecting clinical data, but is designed to reach out to other healthcare providers that originally collected and compiled the patient’s health information. EHRS can share information with other providers such as laboratories, specialists, and other physicians which help to prevent medical errors and better serve the patient since all clinicians involved information is available through the EHR. (Lighter, Donald E (2011). According to The National Alliance for Health Information Technology, EHR data “can be created, managed, and consulted by authorized clinicians and

According to The Healthcare Information and Management Systems EHR is considered a longitudinal electronic record of patient health information generated by one or more encounters in any care delivery setting( Kohli & Tan, 2016). The Centers for Medicare and Medicaid Services (CMS) of the U.S. Department of Health and Human Services (HHS) describes EHR as an electronic version of a patient’s medical history, that is maintained by the provider over time, and may include all of the key administrative clinical data relevant to that person’s care under a particular provider, including demographics, progress notes, problems, medications, vital signs, past medical history, immunizations, laboratory data and radiology reports (CMS.gov). The International

When selecting a new facility or agency they must have the system required for electronic filing. If they have adopted this system, then the facility will be able to access the patients record through the data base by the information provided. This will help them review the charts to help further one’s diagnoses or treatments.

1) Big Data in Health Care via EHR: - Big data in healthcare comprises of 4 major components: - a) Volume of Data b) Variety of Data c) Velocity of Data flow and d) Veracity of Data. Big Data represents the tools, processes and procedures

The electronic health record is the electronic version of a patients’ medical chart (Centers for Medicare & Medicaid Services, 2012). The information included in the electronic health record is the patient’s demographics and clinical health information, medical history, list of health problems, progress notes, medications, vital signs, laboratory and radiology reports, and physician orders. The purpose of the electronic health record is to prevent medical errors and improve care delivery to provide a safer patient environment (McGonigle & Mastrian, 2015).

Researcher believe that the availability of big data will be of great impact especially in the medical field. They believe that when medical records are easily available to Doctors, doctors will be able to provide immediate diagnosis and medical treatment to their patients. Using this data is a great benefit to Doctors because they can look up prior successful treatment from other patients to help treat new patient. The challenge Doctors may encounter with so much information is that they may become overwhelmed and incorrectly delays treatment or not provide treatment to their patients. Also, the searchable information can be misleading or misunderstood by the medical provider and he or she based on the searchable information can incorrectly providing the same treatment to all the patient with the same

Electronic health records (EHRs): Medical records are now kept in an electronic versus a paper chart. All health information regarding past and current medical history, treatment plans, and medications are kept in the EHR. The system also allows sharing of medical information from provider to provider as needed. Many HER systems have a feature to allow patients to log into a patient portal to review lab results, diagnostic tests, plans of care, and email access to the provider

The ability of companies, governments and healthcare to harness data is important to find hidden information about how things are working in their organization. These organizations can then decide how thing should work and how things might work better depending on management decisions. Companies and governments use big data to track and analyze processes and customers for profit and efficiency. In healthcare big data is analyzed to understand how effective treatments and facilities are and make necessary changes. The bigger the data set the more necessary it is to use proper analytic techniques, types of analytic techniques are descriptive, predictive and prescriptive.

Big data is challenging and changing healthcare systems very quickly. In order to keep up with all the new technologies and continue improving health, it is very important to know how to maintain the momentum of this movement. It is necessary to have cross-sector imperatives and strategies to help stakeholders reach their goals [4]. Here are some cross-sector imperatives that are most important to be followed:

As we know, for delivering good qualitative service in healthcare industry, data plays an important role. So it’s necessary to understand the fact that the big data must be used in a right way to make health service industries successful. For managing and analysing the big data it’s important to have a good knowledge about the healthcare data complexity, framework, technologies for “big data analytics in healthcare industries”.