EHR Analytics Software Systems

EHR analytics software systems are a powerful example of the use of AI in healthcare and medicine. ArtificialIntelligence.health is an AI software development company committed to spreading the benefits of artificial intelligence healthcare applications to a wider range of medical and healthcare organizations. With a 30-year history of continuous innovation in all things digital for hospitals, pharmaceutical firms, medical education organizations, medical practices, medical device manufacturers, and more, ArtificialIntelligence.health is ready to facilitate the latest wave of technological innovation known as AI. Its experience with custom electronic health records software development places it among the most prepared EHR software vendors to use artificial medical intelligence to get the most out of EHR systems.

EHR analytics software leverages the big data produced by hospitals, clinics, and medical practices to empower high-quality clinical research to support continual growth in best healthcare practices. EHR analytics systems offer numerous advantages over randomized controlled trials for extending medical research.

1. EHR analytics systems are cheaper.

Randomized controlled trials, the benchmark of typical research, is costly and time-consuming. As medical organizations deal with an ever-growing elderly population with increasingly complex healthcare needs, using randomized controlled trials (RCTs) to test for causal relationships between specific treatments and outcomes becomes increasingly burdensome to an already overburdened system. EHR analytics software leverages existing information already produced by the established workflows of medical institutions, thus helping to extract more value from existing infrastructure.

2. EHR analytics systems provide real-world evidence.

Randomized controlled trials are generally considered the gold standard in medical research. While randomized controlled trials can demonstrate causal relationships between treatments and outcomes, the degree to which influence of mitigating factors must be controlled may mean that some of the outcomes to which they point may not offer the same impact in a real clinical environment. EHR analytics software with artificial intelligence also can observe relationships between treatments, demographics, health histories, and other criteria and outcomes across a much wider range of criteria. This allows medical researchers to more quickly identify the health and treatment patterns that may affect prognosis given a specific case profile.

3. EHR analytics systems leverage highly detailed, granular data.

Electronic health records are generally recorded with a high degree of regularity. In intensive care units (ICUs) and operating rooms (ORs), for example, vital signs are measured on an hourly basis. From this highly detailed medical information, EHR analytics software can build time-varying models with high outcome prediction accuracy. This information can help medical researchers identify best practices under a wide variety of health and timeline considerations.

4. EHR analytics systems benefit from an endlessly growing EHR data pool.

As electronic health records are routinely used in the course of everyday workflows in healthcare settings, the information these systems record continues to broaden and deepen on a daily basis with no additional time or cost burdens. EHR analytics software with medical AI helps maximize this utility with a platform that is as dynamic and expansive as the information it represents. With carefully programmed artificial medical intelligence, EHR analytics software will produce more detailed and accurate information for medical researchers as both data expands and its capacity to understand that information is enhanced through the deep machine learning algorithms that comprise its functional structure.

5. EHR analytics systems can be used to support clinical decision support (CDS) systems.

The rich information produced by EHR analytics systems will benefit medical researchers in myriad ways. Such medical AI systems may also be used as the basis for the development of clinical decision support (CDS) systems that help clinicians determine the best treatments and offer the most accurate prognoses possible, using insights provided by artificial intelligence analysis of electronic health records. This demonstrates how medical AI software development can become the powerful core to a comprehensive health IT solution for the entire healthcare sector.

About ArtificialIntelligence.health

ArtificialIntelligence.health is a new division of DDA that builds on a 30-year history of innovation in digital interactive design and development for medical organizations of all kinds. ArtificialIntelligence.health seeks to spread the benefits of custom medical AI development to a broader array of medical and healthcare organizations by focusing on targeted and affordable medical AI platforms that are tailored to the unique needs of each organization, thus democratizing the new technology for the next wave of AI development. Explore this website further to learn more about how medical AI can benefit your organization, or contact ArtificialIntelligence.health today for a free, no obligation consultation.