Data In The Healthcare Industry

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.

According to Berson and Dubov (2011), there are four typical categories of drivers that explain the need for data management: Business Development, Sales and Marketing; Customer Service; Risk, Privacy, Compliance and Control; and Operational

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.

For health care organizations quality data collection is an essential tool used for data collection. The information produced from the data assists the health care organization in other functions such as effective ways to manage and perform decision making for the organization, this includes the strategic planning process. Quality improvement is the method of assessing processes and provides the information necessary to improve services. All of this together allows the health care organization to become a high producing system of

Information Management is one of the organizational management chapters in the JACHO Accreditation Manual for Hospitals. According to this document, organizations must have well-developed processes for managing of patient data, including, but not limited to, initial recording, retrieving, reporting, and displaying of all patient-related information associated with specific patient care activities1.

HIM professionals are expected to state their credentials, education and experience in a truthful and accurate manner and this promotes the core values of integrity and quality services provision. AHIMA encourages respect of the dignity and worth of each person and this encourages the core value of respect. Health information management professionals are discouraged from hiding or participating in practices that are unethical and are also encouraged to report such cases and this encourages

The Health Information Management (HIM) existence to the health care provides quality to patient care from different settings connecting administrative, clinical and operation responsibility. Clinical, legal and financial knowledge allow HIM professionals to manage patient’s health record, capturing healthcare

It has only been within the last five years that health information management (HIM) has experienced exponential changes, due to the healthcare reform. The electronic health record (EHR) is connected to health information exchanges and other systems of interoperability. The timely completion of charts, coding and release of information (ROI) has become much more efficient with the electronic record. Traditional HIM functions will just be transformed and will always be an integral part of successful patient care. Professionals must be flexible and willing to adapt and even generate change. As Health Information Technology continues to evolve, so will the roles

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

The American Health Information Management Association continues to lead many health care professionals and 52 component states associations with effective health data management, training, and professional

Data management is vital to any business as this is a key tool to an organisations business improvement, as you can refer back to data, and compare them against benchmarks. Analysing data can provide evidence for possible future structure such as identify trends, as well as indicate where improvements can be made. However there are strict procedures to be followed when collecting and storing data.

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 2009, the Healthcare Information and Management Systems Society (HIMSS) developed literature that outlined Data Warehousing and its impact within Healthcare Data Management. A study showed that companies who implemented a data warehouse had one consistent data store for reporting, forecasting, and analysis (HIMSS, 2009). Additionally, they had easier and more timely ways to access data, improved end-user productivity, improved IS productivity, reduced cost, scalability, flexibility, reliability, and an overall better competitive advantage (HIMSS, 2009).

The first quality initiative that could increase patient satisfaction and potentially reduce healthcare cost is the national data warehouse. According to Brennan, Cafarella, Kocot, McKethan, Morrison, Nguyen, Shepard & Williams II (2009), “this type of quality analysis needs to be valuable to both payers and consumers. For payers, quality analysis helps them potentially understand payment mechanisms, quality providers, regional differences and medical management techniques. For consumers, there is a better understanding of practice and potentially cost differences of providers. So, the primary purpose for creating a national data warehouse will be to develop key quality measures that all parties can agree on.” The second quality initiative that could increase patient satisfaction and potentially reduce healthcare cost is creating one common contract between all health plans and providers (Brennan et al., 2009). According to Brennan et al., (2009), “to accomplish this, a national group comprised of government personnel and knowledgeable provider contractors from the health plans will set national guidelines. Regional contracting groups will be entirely made up of current health plan contractors and will do the local contracting under

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”.