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High priority is given to treating patients and patient safety on the health care agenda. As a result, demand for quality measurement has increased, followed closely by some special demands for documentation and data quality. If not handled intelligently, this may be a new burden for healthcare workers.
What I still see is some restraint and slow use of data and advanced analysis to reach better results in the healthcare sector for the benefit of patients. It is time to build analytical structures, and therefore the health care sector should aim to become an analytical organization.
BI Consultant Training Development Developer Official Support Partner Services Company Solution in Doha Al Rayyan Qatar It is time to build analytical structures, and therefore the health care sector should aim to become an analytical organization.
SAS has a deep vision in the healthcare sector around the world, and our customers benefit from it. We know that advanced analytics can enable hospitals and regions to work smarter with their data.
Resolving Patient Safety and Quality Challenges
In the area of patient safety and quality, SAS addresses the following challenges:
- Automated checks for diagnostic diagnosis.
- Automatic journal checks for specific quality indicators.
- Automated Journal of Patient Damages.
- Automated Infection Analysis.
- Prediction of infection.
The following section explains our analytical model of patient safety and quality. The analytical model is easy to implement Microstrategy Consultant Training Development Developer Official Support Partner Services Company Solution in Doha Al Rayyan Qatar. Data is reused from existing hospital data sources, for example, patient management system, medical data, microbiological data, biochemistry data, X-ray data and medical records.
Analytical approaches to patient safety and quality allow health care professionals to use accurate data to support their management decisions. Advanced analytics and data accessibility mean that many different analyzes are easily managed and implemented.
The Patient Safety and Quality Solution from SAS Unique
Structured data has been used for many decades; however, unstructured data has not, and has been, used on a small scale. The structure of patient safety and the quality of the solution changes. Common aspirations for all patient safety and quality solutions are:
- Dumping manual consumption of resources.
- Increased possibilities for timely, reliable, valid and high-quality health care data.
- Stop working with samples and perform complete population analysis.
- Create management decisions based on population – not sampling.
- Can be used to measure clinical quality and patient safety, etc.
- Can be used to manage proactive risk.
The patient safety and quality solution is a general framework that allows you to reuse rules and algorithms developed by other organizations. It is accomplished in close collaboration between the client and SAS. SAP BO Business Objects Consultant Training Development Developer Official Support Partner Services Company Solution in Doha Al Rayyan Qatar engages deeply and works closely with clients throughout the project and throughout the process.
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