Clinical Decision Support (CDS) Systems

Clinical decision support (CDS) systems will become an ever-growing part of artificial intelligence in healthcare. Clinical decision support software leverages the big data collected through electronic health records (EHR) and other avenues in the information architecture at hospitals, clinics, and medical practices to help clinicians make informed decisions regarding the diagnosis, treatment, and prognosis of various conditions.

ArtificialIntelligence.health is a medical AI software development company that is focused on advancing AI technology for the benefit of clinics, hospitals, medical practices, and medical organizations of all kinds.

Benefits of Clinical Decision Support (CDS) Systems

Clinical decision support tools empower doctors, nurse practitioners, and others to make more informed decisions in the delivery of healthcare in shorter periods of time. CDS systems also help to alleviate the common problem of stress-related clinical burnout that occurs when clinicians are maintained in an alert state on a wide range of potential complications to patient outcomes on a never-ending basis. By assisting with the prevention, identification, and solution of health problems, CDS systems help clinicians perform at their best while leveraging the maximum amount of information available to them.

Improved Information Acquisition with AI Clinical Decision Support Systems

CDS solutions can improve healthcare by enhancing information exchange between practitioners and patients. CDS systems have been used to help nurses, doctors, and others ask the right sequence of questions to get the best background on patient concerns, with follow-up questions being suggested based on each patient response. These systems involve custom natural language processing specialized for healthcare, and may also use artificial intelligence speech recognition so that they can be used during oral exchanges in real time. These CDS tools can also be integrated onto pre-admissions web forms that can help gather a broader set of more relevant patient information on symptoms, treatment history, conditions, and the like to give the physician a broader understanding of the reasons for sought care and how to address the underlying problems.

CDS systems may also be used to better leverage information from patient health applications and medical devices. Alerts can be triggered that direct patients to schedule an appointment of seek immediate care when specific combinations of vital statistics or other symptom measurements indicate the need for future review by a doctor or immediate medical attention in an emergency room. Additional alerts can be offered to individuals to reduce strain when working or exercising, or to encourage healthier practices when information gathered suggests that unhealthy behavior patterns may be emerging, such as encouraging specific foods when recorded blood sugar levels indicate poor adherence to diabetic-friendly diet plans.

Maximizing EHR Value with CDS Tools

Clinical decision support systems empowered by artificial intelligence can also help clinicians leverage the wider information available to them through EHR systems with less time. Machine learning algorithms can help with medication management by alerting clinicians of any possible medication interactions that may be common among patients with particular co-occurring conditions, ensuring that problematic new prescriptions are not issued.

CDS systems can also offer alternative suggestions when evidence suggests that certain medications and/or treatments may be more helpful for particular conditions among particular populations. Such functionality may be informed by either the latest scientific studies, treatment/response patterns recorded by existing EHR analytics systems, or a combination of these and perhaps even other sources of medical information. They may also help doctors give a prognosis based on a wider set of information than their own unaided understanding can offer. The ability of artificial medical intelligence to detect patterns across a wider range of variables and improve over time based upon acquired information will help empower new AI-based CDS systems of the future to optimize healthcare for greater efficiency and better long-term results.

About ArtificialIntelligence.health

DDA created its division ArtificialIntelligence.health to focus its efforts on promoting wider adoption of custom artificial intelligence solutions in healthcare and medicine. Having provided advanced interactive programming for medical organizations of all kinds for most of its 30-year history, ArtificialIntelligence.health understands that medical AI software development represents the future of medicine. Explore this website further to learn about the many ways medical AI will benefit medical practices, clinics, and hospitals, or contact ArtificalIntelligence.health today for a free, no-obligation consultation.