Open Issues And Potential Solutions

This can be extremely useful for people wanting to make lifestyle changes regarding nutrition and fitness, especially those aiming to lose weight and become healthier overall.

Health information technology (HIT) is revolutionizing the way we interact with health-related data. One example of this is the obvious rise in

The Continuity of Care Record (CCR) is a fundamental data set of pertinent administrative, demographic, and clinical evidence that provides details about a patient’s healthcare encounters (American Society for Testing and Materials (ASTM), 2014). CCR structure provides electronic formatted structure that can be interchangeable with other electronic medical software and provides mapping of patient’s health information. The primary usage of CCR provides a standard format of health data transmission of information that can be looked at from the patient, physicians, and other providers. CCR structured called the eXtensible Markup Language (XML) offers a summary of the patient’s health records where the output can create into sources such as health plans, personal health record (PHR), electronic medical record (EHR), and many other sources of data (ASTM, 2014). For instance, CCR XML files provide patient’s insurance information, care plan, vital signs, laboratory results, medical equipment, providers, medications, and many other important medical data about the history of the patient’s health (book reference, 2010).

optimal nutrition to aid in healing. The data obtained can be stored in a database, that could

Personal health records (PHRs) have numerous benefits to providers and patients. The information contained in PHR systems range from home measurement reports for blood sugar levels, blood pressure and body temperature, radiology images, laboratory results and family history information (Mandl &Kohane, 2016). The acquired system will facilitate storage of health information in ways that can be comprehended by patients without special assistance from physicians. Moreover, it will provide patients with important information such as interpretation and possible course of action. Patients will take an active role in disease prevention and management. The current system should be maintained because it meets all the qualities of a good PHR system. It has already been tested and proven to function properly to the satisfaction of both patients and doctors.

Electronic health records (EHRs) have the potential to transform the health care system into and organization that utilizes clinical and other health care information to assists providers in delivering higher quality care to patients (Menachemi & Collum, 2011). An electronic health record is an electronic version of patient’s medical history, which includes clinical data, demographics, progress notes, problems, medication, vital signs, past medical history, immunizations, laboratory data, and radiology reports. Benefits associated with EHR are easily accessible medical records, reduction of medical errors, and fewer test duplications and delays in treatment. Electronic health records also improve accuracy and clarity (Menachemi &Collum,

The data stewardship plays a very important role in all health information systems from privacy, security and quality. Each system further enhances data stewardship for patients and healthcare professionals. The data needs to accuracy to be used for clinical diagnosis and research development. This is further the reason why collecting and entering accurate data is key. The health system quality improvement is offer additional crosscheck analysis for data. Health data is not only limited to continuum of care but also clinical trials, surveys and

A clinical information system (CIS) collects patient information from technological applications. The information is distributed to certain locations in the facility/healthcare setting. Locations vary based on unit, such as OBGYN, cardiology, ICU, or psychiatric. The CIS represents the patient’s history of illnesses and interactions with health care providers by encoding knowledge capable of helping clinicians decide about the patient’s condition, treatment options, and wellness activities (Sittig et al., 2002).

For Payers - Since heath data can be made available to consume and analyze, organizations can take advantage and reduce their existing costs related to patient care. Adoption of digital heath data is estimated to save about $77 billion per year for both inpatient and outpatient care[5]. Better decisions can be made by Payers by taking the benefit of intelligent Algorithms which predict disease possibilities and provide more insights on target audience to better understand the entire healthcare system.

The PHR is defined as "based-on-the-Internet set of tools that makes it possible for people to coordinate and access their lifelong health data, and makes some parts of it available and accessible to those who need it" (Segall et al., 2011). PHRs may be useful, especially, for people with chronic diseases who expect to receive some advantages from using PHRs to learn and monitor their health problems. PHRs allow care coordination among clinicians, ensure patients the opportunity to access and search their medical information, support them in managing health, and make them be active participants in the decision-making process. The early adopters of PHRs could be chronically ill patients because most of them are active users of the internet and computers. Therefore, PHRs

Data mining health care information is so important, there are so many ways it can be used to the benefit of individuals in general. For example, if physicians are able to compare their patients’ information with thousands of other people information and compare their characteristics and similarities, this type of information to prove vital in caring for their patients (McFarland, 2014). It is also important to understand that computers have the ability to analyze genome and allow physicians the opportunity treat certain diseases by data mining health care information (McFarland, 2014). Data mining heath care information has been used in a lot of positive ways, for one, physicians are able to gather a large amount of patients’ information and then use it to predicts and improve patients’ health, and at the same time reduce the cost of health care (McFarland, 2014). Data mining not only helps healthcare facilities, but also the physicians, other healthcare personnel, insurance companies, and most importantly the patients.

Park, K., & Lim, S. (2015 describes data management as bringing interest and awareness to health problems while the elderly population has recently grown exponentially and healthcare has changed from diagnosis illness prevention, which has caused the advanced technological development in various healthcare fields. Identifying the target population as a dialysis nurse will allow me to determine health related target needs.

A prime example of unstructured data in health IT would perhaps be a paragraph about the history of present illness. It is hard to summarize patient complaints or physician findings into a series of simple drop-down boxes, yet there is great value in analyzing patient information without having to manage free text. Yet, vital information can be gained from provider’s notes – therefore, it can be said that the inclusion of unstructured data is highly relevant in management of pediatric asthmatics, even if it is not included in the structured data that may be obtained from the PCP. Unfortunately, unstructured data are not easily captured in the somewhat inflexible programming processes of a computer system. That is where innovative and user-based database design comes into play. Eighty percent of all data is unstructured, yet it relevant to the patient and needs to be collected and captured. Unstructured data is the information that typically requires a human touch to read, capture and interpret properly. It includes machine-written and handwritten information on unstructured paper forms, audio voice dictations, email messages and attachments, and typed transcriptions. Database design in health care informatics works to effectively collect both structured and unstructured forms of data in order to create a more fully comprehensive health record, and

In the NLM Personal Health Record (PHR) project, which is a web-based tool for consumers to keep track of their own health information and other dependents, I was able to organize and keep track of health information, including medical conditions, medications, vaccines, and test results. However, I find this system as a great tool to help individuals understand and manage their health information and problems by it providing key features to help serve millions of people. At first, I didn’t find anything fascinating with the PHR system because it appears as plain with only three individuals name and age display. Then, as I navigated through the system, I’ve found implements that would be beneficial to anyone. Therefore, when I clicked on the first name “Demo_1938”, I’d discovered a list of health information

Clinical decision-support systems (CDSS) apply best-known medical knowledge to patient data for the purpose of generating case-specific decision-support advice. CDSS forms the cornerstone of health informatics research and practice. It is an embedded concept in almost all major clinical information systems and plays an instrumental role in helping health care achieve its ultimate goal: providing high quality patient care while, at the same time, assuring patient safety and reducing costs. This computer based systems designed to impact clinician decision making about individual patients at the point in time that these decisions are made. If used properly, CDSS have the potential to change the way medicine has been taught and