Healthcare Data On Management

Healthcare services have and will always be of interest to all parties who are interested in ensuring better human welfare. There are many aspects that are associated with healthcare but data has been of interest in the recent past. Research has shown that data analytics is an important aspect in ensuring that the health care services provided are of the right quality and that all the parties’ involved benefit. Healthcare transformation has been on the rise since the way healthcare practitioners handle their tasks are changing.

There is more of technological advancement in the health sector which gives doctors and other practitioners a chance to interact and share information.

With the technological advancement, data has become a useful tool whereby there are more coordination and research. In the past, sharing of health information was an issue. However, technology, more so the social media has advanced the way health practitioners share information. Health information can be shared within a short period of time which means the world will be informed on a certain issue and therefore better prevention measures.

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Data management in the healthcare sector has therefore been an area of interest to me since it has changed the way research is done in the healthcare sector. Healthcare data management deals with storing. Protecting, and analyzing data derived from various resources. The aim is to ensure there is a common point of reference when it comes to diagnosing an infection or any disorder.

Data management ensures that the information collected from the particular research will be stored and shared with all practitioners.

The move ensures that there is a uniform way of handling treatment issues to avoid confusion among the practitioners. To be specific, there are certain issues that may be confusing to the doctors but with clear data management, the treatment process becomes easier. They will easily diagnose what a patient will be suffering from and give the medication from the research done and shared. Data management is a technique which has therefore improved the healthcare sector and needs to be enhanced to ensure there is better treatment process for the patients.

There are specific benefits associated with data management including;  Improves patient interaction with predictive modeling and analysis which is based on healthcare data. Healthcare practitioners are able to make informed decisions based on the research done on the best ways to treat the patients. Data management also helps the physicians understand their activities while aligning them with the organization`s goals. Despite the advantages that data management has brought in the healthcare sector, there are yet some challenges which are not yet defined. To begin with, there is a challenge whereby turning data into actionable information is an issue.  Research may be done and the data brought forward but the healthcare practitioners may not be able to change the data available into useful information. Data management involves using the available data to come up with information that is useful in the health industry.

If that is impossible, then the need for the data management process lacks. Secondly, there are no staff members who are competent in data analytics. If the data is brought to table and there are no experts to define what the data reveals, then there will be no information to help in improving healthcare. Lastly, there is a big challenge in training the physicians on how to interpret data or to deal with the newest technologies being introduced. Healthcare BI/CI will benefit both the practitioners and the patients at large. With continuous integration. There will be better handling of information which means better healthcare delivery to the patients. There is the need to have better integration in the healthcare sector to ensure better information sharing which reflects to better healthcare for the patients.

Works Cited

1. Raghupathi, Wullianallur, and Viju Raghupathi. 'Big data analytics in healthcare: promise and potential.' Health information science and systems 2.1 (2014): 3.
2. Wilkinson, Mark D., et al. 'The FAIR Guiding Principles for scientific data management and stewardship.' Scientific data3 (2016).
3. Zhang, Yin, et al. 'Health-CPS: Healthcare cyber-physical system assisted by cloud and big data.' IEEE Systems Journal 11.1 (2017): 88-95.