Software Applications and Data Management for Healthcare

 Devices that already exist that record clinical data that is required for research and clinical devices.  Make scientific data collection simple and efficient without “reinventing the wheel” for clinicians.  Analyze data and develop dynamic decision making applications for clinicians to report and intervene.

Maya MedMinder Vitalograph for Asthma Spacelabs BP Monitor Flora Blood Glucose and BP Monitor A&D Medical BP and Weigh Scale

 Mobile technologies: ◦ PhoneGap: HTML5 app platform that allows to operate with Single Code Base to Deploy to Multiple Platforms ◦ Objective C for Apple IO apps ◦.Net Model-View-Controller(MVC) development architecture ◦ jQuery mobile framework.

 Web-Development ◦ REDCap designed exclusively to support data capture for research studies. MUSC is top 3 current institutions support and using the platform. ◦.Net Web applications using MVC as the framework to allow single, efficient code bases. ◦ Webservices to interact with API’s from various devices and in house built applications

 Database Management ◦ SQL Server backend as the preferred RDBMS ◦ Interact with Oracle, mySql, SQL Server Express, Access and etc as required. ◦ Consume data from multiple end points Microsoft HeatlhVault as an example. ◦ Write dynamic import/export libraries that allow custom mapping functions and produce multiple endpoints so architecture is flexible.

 Develop applications so that feedback to clinicians, researchers and physicians is comprehensive but streamlined for individual needs.  Create software tools such that user can control the variant amount of data that is received and make quick meaning for his/her needs.