Data and Systems in Healthcare

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Dataand Systems in Healthcare

Dataand Systems in Healthcare

Effectivenessof the health information systems in capturing data

Healthinformation systems capture and disseminate information throughstandardized and comprehensive processes. In this regard, theinnovators have developed interoperability and health exchangesystems, which facilitate the process of conveying information. Theinformation moves consistently through health institutions henceenabling acquisition of first-hand information. The interoperabilityand the health information exchange are integrated into the databasesof the health institution systems (Maeder, 2012 Murphy, 2012). Inthis regard, the health establishment experts use terminologies andqueries, which enable productive communication. Productive discussionfacilitated by the terminologies between the users allows fastservices hence, efficient delivery of information. Health careproviders in collaboration with the Health Information Technologystructures avoid repetition of history by the creation of criticalunified voice in healthcare information. Development of a healthcaredata dictionary also enables the healthcare providers to communicateeffectively (Murphy, 2012). This development is achieved by theintegration of the public accessibility of the healthcare dictionary.

Howsharing of data improves patient care

Sharinghealthcare data such as healthcare data wordlist, aggregate data,providers’ data, and disease data helps in improving the patientcare and medical outcomes. In this relation, the healthcare datadictionary facilitates the exchange ideas and terminologies betweenmedical personnel. Medical practitioners communicate to one anotherhence, they diagnose and offer treatment in an effective manner. Thehealthcare providers using healthcare data dictionary can prescribemedication to a patient to help them through illness. Theintroduction of healthcare data dictionary in collaboration to theinteroperable would make an electronic record (Miranda, Ferranti,Strauss, Neelon &amp Califf, 2013). Medical personnel can use anelectronic record of a patient to revise the history of a patient’sillness. The therapeutic outcomes of the patient suffering from adisease are improved in that the medical personnel can diagnose andoffer treatment for consideration of the history of a patent.

Benefitsand drawbacks of HIE

HealthInformation Exchange is an effective and industrious construct, whichconnects to most payers and the providers. In this regard, the publichealth data sources from a major plan. In this relation, theaffiliated organizations connect to an aggregated data repository.Regarding the cons of the health information exchange, the healthcare providers do not embrace the development of a central database(Grandinetti, 2013). This is because development of a centralizeddatabase would risk exposure of a large amount of data about thehealth institution and the patients. Duplicate data sharing modelsare risky to health institution in that the data present in them canbe easily accessed if not decentralized. Therefore, duplication andcentralization of data of a health system risk its security andviolation of privacy. The adoption of the healthcare informationexchange is slow because payer’s involvement is limited(Grandinetti, 2013). This is due to lack of invitation of the payer.Payers are also reluctant to enter discussions promoting healthcareinformation exchanges.

Uniquenessof “BIG DATA” concept

Thehealth information systems industry is different from otherinitiatives to aggregate data for results improvements. This is dueto their ability to contain a relational database in which otherapplications can interactively call within the healthcare datadictionary. The health information system is equipped to translatethe healthcare terminologies (Kellermann &amp Jones, 2013 Maeder,2012). This makes the difference between the health informationsystems and the aggregate data for results improvements. It enablesorganizations to download packages and install the packages foreasier accessibility by the users. The health information systemswork efficiently to adapt to the changing times by allowing review ofthe dictionary to adapt the change in language.

Risksin data sharing

Regardingthe action of sharing information on health data, as a chiefinformation officer in a health instruction, there are risksinvolved. In relation to the electronic mode of transferringinformation, the data of a patient suffering from diabetes can beobtained (Miranda et al., 2013). The information is obtained when amedical personnel sends the information to a patient’s record. Inthis regard, the medical practitioners can review the list ofdiabetes patients and determine which patient has an uncontrolledblood sugar level. In this relation, the sharing of informationthrough an electronic medium violates the privacy of the patient.This means that laboratory results of patients cannot be sent throughan electronic medium due to the insecurity of the results of otherpatients. For a chief information officer, this becomes a challengeto the electronic medium of relaying laboratory results.

Futurelandscape of sharing data and systems

Informationsharing in healthcare institutions depends on technologicaladvancements. The management and clinical information depend on theallowance of the free flow of information from healthcare providersto the patients (Miranda et al., 2013). This shows that the mode ofcommunication of health results for patients would be in electronicform. Consequently, the health institution systems need to developand embrace the interoperability form of communication. Theinformation and technology means are likely to take advantage of thefuture development (Kellermann &amp Jones, 2013). In this relation,the application used in the health information systems would be usedto communicate patient data. Development of a standardized healthinformation exchange would enable the capability of fosteringinteroperability with healthcare systems. Consequently, the future ofthe healthcare institutions on modes of communication depends on theinteroperability.

References

Grandinetti,L. (Ed.). (2013).&nbspPervasivecloud computing technologies: Future outlooks and interdisciplinaryperspectives.IGI Global.

Kellermann,A. L., &amp Jones, S. S. (2013). What it will take to achieve theas-yet-unfulfilled promises of health information technology.&nbspHealthAffairs,32(1),63-68.

Maeder,A. J. (2012).&nbspHealthInformatics: Building a healthcare future through trustedinformation: selected papers from the 20th Australian National HealthInformatics Conference (HIC 2012)&nbsp(Vol.178). IOS Press.

Miranda,M. L., Ferranti, J., Strauss, B., Neelon, B., &amp Califf, R. M.(2013). Geographic health information systems: a platform to supportthe ‘triple aim’.Health Affairs,&nbsp32(9),1608-1615.

Murphy,K. (2012). Whatthe Healthcare Data Dictionary Means to Interoperability.EHRIntelligence