Innosoft has over 20 years of Health IT experience as a trusted advisor on projects spanning the health ecosystem, serving providers, payers, and government health regulators. Our experience and understanding is leveraged to design and deploy the technologies and tools needed for Health IT data management and analytics. Our solutions help customers make informed healthcare decisions. Innosoft’s experience includes migrating healthcare systems to the Cloud, building decision support systems, and implementing security, quality measures, and data visualizations. Our teams increase healthcare operational efficiency with intelligent automation through interoperability, Electronic Health Records, predictive analytics, and data science.

Innosoft recognizes the importance of designing and implementing the technology with end user in mind. As such, while implementing quality technology that ingest electronic quality measures, we design systems that support physicians and their existing workflow. With our prospective quality measure process, we help organizations to embed the processes, clinical steps in the workflow to ensure patient care adheres to the care standards. This allows to determine quality measure needs as soon as there is patient contact and a preliminary diagnosis, which in turn improves quality outcomes and results and lessens the burden on physicians, care teams and their staff. National Academy of Medicine report on Health IT and Patient Safety recommends using EHR data to identify Safety vulnerabilities. We implement system that generates EHR-based clinically validated adverse event outcomes data at adverse event category and subcategory level. This provides a gold standard way of measuring patient safety that provides more accurate, timely and actionable analytics. Implementing predictive analytics also helps hospitals and provider organizations to support earlier interventions, provider uptake and leads to better cost and quality outcomes. We test EHR systems considering the patient journeys from emergency department through surgeries and discharge with every item in between. This helps to minimize project costs and rework. To implement FHIR API, we consider cost of integration, cost to run API, support for the API, Quality of code and testing coverage. We also ensure API implemented passes the security testing in terms of most seen application vulnerabilities such as Injection, Broken authentication, Sensitive data exposure, XML External Entities (XXE), Broken access control, Security misconfigurations, Cross Site Scripting (XSS), Insecure deserialization, Using components with known vulnerabilities, Insufficient logging, and monitoring.