How will Data Management for Healthcare Professionals help Patient Care??
Many doctors, nurses, and healthcare professionals are overwhelmed with outdated data systems that do not hold current data and that are also difficult to access and navigate. This is why any new data storage system must solve all existing problems and bring new and innovative ways to access the data.
Many healthcare software vendors try to solve a new problem with every new software or technology so that they have an upper hand in the market. When big data meets all the criteria of good data and is easily accessible, it can be applied to day-to-day decision making in a hospital and it can also be used for longterm decision making and strategizing within the organization. The healthcare organizations who successfully modernize their data and blend it with new technology have significant positive results to show for it.
Precision medicine is one of the groundbreaking fields of medicine. Precision medicine is made possible because of the presence of big data. It relies largely on the collection and interpretation of data on a grand scale.
Increased use of data leads to proactive medicine, precision medicine, and evidence-based medicine. It means a reduction in unnecessary tests, less time spent in the hospital, and a reduction in readmission rates. All this leads to a reduction in cost for patients and ultimately for the healthcare organization.
Big data together with new technology means that doctors and nurses can monitor their patients with greater ease. This monitoring includes when they are in the hospital and also when patients are discharged. This is especially useful for elderly patients and for patients that require continued care at home.
Real Time Data in Healthcare
One of the advanced ways that Data Management for Healthcare Professionals is being carried doubt is by the use of real-time data. Real-time data is becoming more and more popular for healthcare professionals as it has promising applications in the healthcare space. Big data has provided more powerful insights into healthcare which has helped professionals provide better care and cure illnesses.
Real-time data and big data can be combined to create actionable insights that can e used to help patients. Technology has made the healthcare industry increasing connected with each other and this has led to a more free flow of data and medical devices are also more connected. Doctors can now access data from anywhere and they can also monitor patients not just when they are in the hospital, but also after they’ve been discharged.
Real Time Data and Big Data
The combination of real time data and big data presents interesting opportunities for healthcare professionals and for the healthcare industry at large. For one, it can help cause a significant reduction in healthcare spending which is at an all-time high. There is a constant increase in older patients with more dire and pressing medical needs and there has been a rise in the number of people with chronic conditions.
The healthcare industry has been working on reducing this reducing this cost by other means like the switch from fee-for-service to value-based payment, the increased focus on evidence-based medicine, the increased acceptance rate of new technology and new data storage measures such as cloud storage and cloud computing.
The combination of real-time data and big data analytics promises to breathe new life into U.S. healthcare—and the system could certainly use the help. According to the Commonwealth Fund’s 2017 report that evaluated 11 countries, the U.S. received the worst overall healthcare ranking, while also spending the most. For every dollar that the U.S. produces, more than 16 cents goes to health-related spending. Commonwealth Fund
Understanding Patient’s Needs with Data Management
Not only will real-time data help doctors understand the needs of patients better, but it will also help anticipate these needs. The access to real-time data will enable doctors and nurses to have a deeper understanding of patient needs in different situations. This will lead to fewer situations where unnecessary tests are given to patients which will lead to a cheaper cost of care.
When patients can be monitored in real time, more conditions can be treated holistically and fatalities can be prevented. Combining analyses of large data sets (gotten from big data) with current patients’ medical records can help identify high-risk patients who may need extra attention at bedside or remote home healthcare sites. This monitoring will go a long way to help doctors prevent fatalities.
Big Data Vs Smart Data Definition
Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves. SAS
Smart data refers to smaller sets of valuable and actionable information. So, if big data is about volume, speed, and variety then smart data is more focused on creating value, meaning, and accuracy (veracity) for some sort of purpose or outcome. Smart data is more actionable than big data and thus helps a business function, gain critical insights, or make important decisions. If correctly placed, smart data can be used immediately, in real-time, for some sort of decision-making process. Study.com