CDSS or Clinical Decision Support System is a health IT application that helps healthcare providers, caregivers, health administration staff with person-specific information and knowledge for better and accurate medical decision making. This clinical decision support offers analyzed and smartly filtered healthcare data at appropriate times to enhance the quality of care offered. Clinical decision support systems are intended to enhance the care quality and outcomes through case-based reasoning and knowledge-based systems to abide by the meaningful use and optimum evidence-based care.
OSP has the experience in programming CDSS from scratch, including multiple clinical decision support modules of your choice. We can engineer various modules including health informatics, cost containment, disease condition-specific order sets, case-based reasoning, COPE, automated CDSS alerts, and more. We can customize clinical decision support system to boost quality, safety, efficiency, and effectiveness of health care through robust clinical decision support.
The common bottlenecks which might slow down your business growth
Lack of communication process optimization to have seamless clinical decision making.
Ambiguity in procedure guidelines affecting the uniformity and accuracy of medical decision making.
Inability to manage HIPAA compliance for the medical data with better interoperability.
Lack of healthcare interoperability amongst the clinical systems and devices affecting the speed of CDSS.
Inability to integrate EHR or health analytics modules to CDSS for better efficiency.
Traditional and time-consuming reporting system affecting the quality of clinical decision support.
A highly advanced healthcare cloud based CDSS to empower healthcare stakeholders with actionable insights
Clinical decision support system is a healthcare application that carries the task of data analytics within the EHR to provide accurate directions and CDSS alerts to the healthcare providers. These advanced medical decision making helps caregivers to implement the evidence-based clinical guidelines at the point of care. There are a wide variety of clinical decision support examples like a CDSS for cardiovascular disease (CVD) prevention where the providers are reminded to screen patients with CVD risk factors and flag cases of hypertension.
OSP can program clinical decision support systems based on healthcare rule inference engines navigate through a repertoire of clinical rules and multitudes of facts to help a clinical expert for the decision making in healthcare. On your demand, we can build a CDSS that incorporates a rule inferencing system where clinical data characteristics of a patient are matched to a clinical knowledge base to make patient-specific assessments for better case management. To solve your clinical decision-making challenges, we can leverage a cache-based lazy loading mechanism incorporating rule clustering and hashing kernel, combined with a prediction-based technique.
HITECH Act (Health Information Technology for Economic and Clinical Health Act) stated the providers need to comply with meaningful use of health IT systems or face a reduction in Medicare reimbursements. A decision support system is the best solution for the providers to comply with the HITECH Act and its requirement of meaningful use. CDSS is one of the essential clinical data analytics that helps providers in cost containment through timely and accurate clinical interventions.
OSP can create customized clinical decision support tools for your needs that are COPE integrated and provide help in decreasing the inpatient length of stay and suggesting cost-effective medical alternatives. We can program CDSS based on your needs with multiple applications such as drug selection, drug-allergy checking, basic dosage guidance, drug interactions checking, suggesting alternative medical therapy, healthcare diagnostics support, and collaborative care management. By integrating CDSS in computerized physician order entry COPE, clinical facilities and hospitals can save hundreds of dollars per year.
Medical decision support system works as an expert clinician for a less experienced healthcare provider or as a second opinion for a veteran physician. A healthcare decision support system is based on case-based reasoning (CBR) and advanced knowledge management and healthcare analysis system. Replacing the raw medical data with some meaningful content can help to increase the efficiency of the clinical decision support system. Organized and transformed combination of medical data, adapted with a set of rules, procedures, and operations to create a universal set of rules, guidelines, operations, and knowledge.
We program the CDSS medical to help match patient characteristics with digital knowledge bases and use algorithms to create patient-specific evaluations or treatment recommendations. We help you with a tailored system for clinical decision making with a Knowledge Manager. It is a knowledge database and rules engine for managing clinical regulations and medical data models. Knowledge manager breaks down the medical data into computerized rules which can comfortably be shared between different decision support applications to build a robust and flexible solution.
CDSS sifts through an enormous amount of EHR data to suggest next steps for medical treatment, alert providers to available information they may not have seen, or identify potential problems, such as dangerous medication interactions. A system for healthcare decision support has the clinical database layer to store information on diseases, diagnoses, and lab findings. The database also stores the patient data and a knowledge base in the form of ‘if-then’ rules or machine learning models. The content could be structured as the knowledge data such as FDBE database that contains drug-related data, or the medical content could be processed structured data from the EPR applications themselves.
Our team can solve the challenge of secure medical records management by building a dedicated data repository to hold all the medical data that is needed by the CDSS to present meaningful information to the healthcare providers. Guide us through your needs for the healthcare decision support system, and we will customize the information model of the data repository for CDSS. We have experience in medical data management and establishing a synchronization schedule for the data to maintain accurately and as near-real-time as possible between the EMR Clinical systems and your Data Repository.
Healthcare interoperability means the seamless data sharing potential of multiple health IT systems to help healthcare data readily accessible to all the users of these health systems. Interoperable clinical decision support systems help in improving efficiency, especially when the healthcare data are presented consistently, it is easier for practitioners to quickly get to the bottom of the issue as they make treatment decisions. Interoperable CDSS also helps for safer care transitions, especially for chronic care patients where continuity of care is crucial.
OSP ensures interoperability in health IT systems to allow for safer transitions of care, which leads to better outcomes for patients in general. Semantic interoperability must be granted to share CDS modules across different health information systems. Currently, numerous standards for different purposes are available to enable the interoperability of clinical decision support systems in the areas of clinical information, decision logic, terminology, and web service interfaces. OSP can identify and provide an overview of the available standards that enable clinical decision support interoperability in the areas of clinical information, terminology, decision logic, and web service interfaces.
A computerized CDSS that integrates with multiple EMRs and multiple patient health records (PHR) is preferred by the healthcare providers for efficient healthcare decision making. Workflow integration is the major challenge in CDSS adoption. We work around the clock to customize clinical decision support system that can be easily integrated into your existing practice management and EHR. As per your needs, we can program a knowledge-based clinical decision support system to offer detailed medication classification surpassing mandated industry standards to reduce the potential for drug prescription errors.
We modify the CDSS to build robust technical infrastructure to allow health systems such as advanced telehealth solutions to share data electronically. Our custom development services render complete information possible into CDS healthcare systems to enhance the decision-making process in the clinical workflow. We strive to solve clinical decision support system challenges by encouraging broader adoption of exceptional professional clinical guidelines and promote a culture of quality across the domain.
OSP has worked with Stephen to create a mobile health application offering 'Doctor on Demand'. This mhealth solution is based on the Uber model to enhance the availability of health access in the US.
The clinical decision support system can help nurses deliver complete and accurate patient’s phone screenings to seek advice or appointments. The automated decision software guides triage nurses through a series of standardized questions based on current care guidelines, ensuring that they do not miss important information about the patient’s health.
CDSS can play a vital role in chronic disease management by helping the patients to have better outcomes such as effects on biomarkers and clinical exacerbations. The CDSS helps in for ongoing disease and treatment monitoring, and patient behavior modification. Clinical decision support will assist in improving the computable biomedical knowledge, person-specific data, and a reasoning or inferencing mechanism for the clinicians as care is being delivered.
We can build custom clinical decision support systems (CDSS) with advanced technology and evidence-based content to help providers and patients to make sound decisions. Our goal is to solve medication challenges and provider healthcare support by developing customized CDSS system and patient engagement. We help providers to bring uniformity to their clinical decision making process by informing medication decisions, enhancing patient care and drug safety, improving drug therapy outcomes, tracking and analyzing drug data and boosting workflow efficiency.
Hospital or clinic rules can be encoded into a knowledge-based CDS system in the form of 'If-Then-Else' pieces of information. We can customize CDSS to perform various tasks, from prompting nurses to take specific measurements according to a protocol to informing physicians about patients who aren't complying with their treatment plans. CDSS also helps hospitals comply with the Medicare AUC program before ordering an expensive test for a Medicare patient as per the Protecting Access to Medicare Act (PAMA) of January 2020.
Chronic care management can be streamlined with prompt, accurate and efficient diagnostic support. CDSS can be customized for disease identification, also known as diagnostic decision support systems (DDSSs) or medical diagnosis systems (MDSs). These healthcare decision support systems compare information on a patient’s condition with a knowledge base and generate a list of possible diagnoses. These advanced systems can assess the therapy, look for discrepancies, errors, cross-references for drug interactions, and prevent the ordering of allergenic drugs.
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