Advance Health Care Informatic

Advance Health Care Informatic

Select two diverse clinical settings; for example: ED versus ICU, PeriOp versus Med-Surg, Pediatrics versus Adults, or Sports Medicine vs. Nursing Home, etc. For your two selected clinical settings, compare and contrast the content, features, need, and value of data, information, knowledge, and decision support to clinical practitioners in those settings.

Justify the clinical elements necessary for each clinical setting and create a recommendation of necessary elements for a shared clinical system.

Make sure that you include the four expanding rings of information (EMR, warehouse, regional, NHIN/PHIN) in your analysis. Describe how the differences would alter the design or features of a clinical system. Support your statements where you claim either similarities or differences between your two settings.

Construct a justification for the shared clinical system from ethical, legal, social, and public policy viewpoints. Formulate a plan for implementation and create the necessary workflow for a successful implementation. Evaluate the role of the master’s prepared informatics nurse after implementation.

Please submit one APA formatted paper between 1000 – 1500 words, not including the title and reference page. The assignment should have a minimum of two scholarly sources, in addition to the textbook.

Hebda, T. & Czar, P. (2013). Handbook of Informatics for Nurses & Healthcare Professionals (5th ed.)Saddle River, New Jersey: Pearson.

No aspect of human life has escaped the impact of the Information Age, and perhaps in no area of life is information more critical than in health and medicine. As computers have become available for all aspects of human endeavors, there is now a consensus that a systematic approach to health informatics — the acquisition, management, and use of information in health — can greatly enhance the quality and efficiency of medical care and the response to widespread public health emergencies.

Health and biomedical informatics encompass issues from the personal to global, ranging from thorough medical records for individual patients to sharing data about disease outbreaks among governments and international health organizations. Maintaining a healthy population in the 21st century will require systems engineering approaches to redesign care practices and integrate local, regional, national, and global health informatics networks.

On the personal level, biomedical engineers envision a new system of distributed computing tools that will collect authorized medical data about people and store it securely within a network designed to help deliver quick and efficient care.

Basic medical informatics systems have been widely developed for maintaining patient records in doctor’s offices, clinics, and individual hospitals, and in many instances systems have been developed for sharing that information among multiple hospitals and agencies. But much remains to be done to make such information systems maximally useful, to ensure confidentiality, and to guard against the potential for misuse, for example by medical insurers or employers.

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What needs to be done to improve health information systems?

For one thing, medical records today are plagued by mixtures of old technologies (paper) with new ones (computers). And computerized records are often incompatible, using different programs for different kinds of data, even within a given hospital. Sharing information over regional, national, or global networks is further complicated by differences in computer systems and data recording rules. Future systems must be engineered for seamless sharing of data, with built-in guarantees of accurate updating and ways to verify a patient’s identity.

Keeping track of individual records is just part of the challenge, though. Another major goal is developing trusted systems that offer relevant decision support to clinicians and patients as well as archive medical research information. Doctors suffering from information overload need systematic electronic systems for finding information to treat specific patients and decision support systems to offer “just in time, just for me” advice at the point of care.

“There is a need,” writes Russ Altman of Stanford University, “to develop methods for representing biological knowledge so that computers can store, manipulate, retrieve, and make inferences about this information in standard ways.” [Altman p. 120]

How can health informatics improve health care?

Apart from collecting and maintaining information, health informatics should also be put to use in improving the quality of care through new technologies. Some of those technologies will involve gathering medical data without a visit to the doctor, such as wearable devices to monitor such things as pulse and temperature. Monitoring devices might even come in the form of tiny electronic sensors embedded in clothing and within the body.

Such devices are emerging from advances in microelectronic mechanical systems for health care delivery as wireless integrated microsystems, or WIMS. Tiny sensors containing wireless transmitter-receivers could provide constant monitoring of patients in hospitals or even at home. If standardized to be interoperable with electronic health records, WIMS could alert health professionals when a patient needs attention, or even trigger automatic release of drugs into the body when necessary.   In effect, every hospital room could be turned into an ICU. Seamlessly integrating the input from such devices into a health informatics system raises the networking challenge to a new level

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