Healthcare Software: Support

Improving Patient Outcomes

As one of the nation's leading teaching hospitals, Emory has a duty to both serve its patients and its students at the highest caliber possible. Creating the next generation of cutting edge healthcare professionals requires advanced healthcare support to accompany them.

C19Check: Covid-19 Severity Stratification Tool

Coronavirus disease (COVID-19) is an infectious disease caused by the novel virus, SARS-CoV-2. This disease can cause respiratory illness with symptoms including cough, fever, and difficulty breathing. It is important to help people exhibiting COVID-19 symptoms know whether they need to travel to see a medical professional in-person. The Coronavirus Checker (C19Check) severity stratification tool, developed at Emory University, aims to meet this need. It allows for the mass screening of individuals exhibiting COVID-19-like symptoms in a non-hospital setting. The risk assessment screening tool can be administered online and allows for effective screening of large numbers of individuals, while alleviating the surge of visits to a hospital or doctors' office and lessening possibility of interactions with infected individuals within these settings. (View our technology brief - Techid: 20143).

Chemotherapy Dose Calculator

Phase I cancer trials are clinical trials in which novel therapeutics are examined for their efficacy and their potential adverse events (AE). In clinical cancer care, however, many patients achieve only suboptimal responses to standard therapy which has resulted in experimental clinical trials being viewed as last resorts. Emory researchers have developed software providing a user-friendly and intuitive system that allows flexible parameter inputs and generates easily interpreted results for trials. Physicians can use this software to perform simulations using different toxicity scenarios to estimate the recommended maximum tolerated dose (MTD). This robust and intuitive software will allow clinicians to make their own Phase I Cancer Clinical Trials more efficient and accurate with minimum assistance from statisticians. (View our technology brief - Techid: 18153).

Citation-based Literature Search Method

A major task for a meta-analysis in research is to find relevant scientific literature, but people find it challenging especially when the keywords or terminologies vary among studies. Emory inventors have proposed a new method that ranks articles in the order of co-citation with one or more known articles, which complements the current search engines that use the direct citation searching. (View our technology brief -Techid: 15089)

Clear View: Radiation Therapy Optimization Software

Radiation therapy uses an external beam called a linear accelerator, also known as LINAC. While radiation therapy is being administered, both the LINAC as well as the patient rotate in a preplanned course. In recent years, LINAC has developed a potential to collide with the patient, the table, or the immobilization device. Developed by inventors Vorakam Chanyavanich, Eduard Schreibmann, and Justin Roper, this software allows radiation therapy to be preplanned extensively on an individual level using a 3D model in order to decipher potential collision zones. (View our technology brief - Tech ID: 14007)

Clinical Decision Support System

There are approximately 18 million diagnostic problems a year that may be attributed to time constraints, complex cases, or cumbersome technology. Due to this, many health providers rely on a second opinion from either other experts in the field or from online databases and clinical decision support systems (CDSS). These online databases and systems educate and inform direct patient care physicians to enhance diagnostic accuracy, aid in therapeutic decisions, and improve overall patient safety. However, these databases and systems are unable to assist physicians in the documentation or clinical notes for diagnosis and intervention. Emory researchers have developed a tool that is composed of smart phrases and auto texts that contain brief explanations with evidence-based differential diagnoses, work-up, and therapeutic interventions for a given dermatologic condition. This technology aims to alleviate the clerical burden involved in writing an educational and thorough consult note, and to increase patient care outcomes. (View our technology brief - Techid: 18215).

Emory Liver Transplant

This app is designed for community Gastroenterologists and other providers to easily submit referrals directly to the Emory Liver Transplant Program. In addition to submitting referrals, providers can read about the education, experience and bios of all Emory Liver Transplant physicians, learn about the latest research and clinical trials, review liver transplant outcomes at Emory, read the latest liver transplant news, and calculate their patients' MELD-Na score. This invention was made by Joe Magliocca. (View our technology brief - Techid: 16106; view in the Apple App Store)

Guide to Goals (G2G): Application for Type 1 Diabetes Management in Children

Type 1 diabetes (T1D) is a chronic disease that is typically diagnosed in 5-10% children and young adults in all diabetes cases, but efficient disease management is challenged by both patient compliance and continuous implementation/monitoring of clinicians' practices. Emory researchers have developed a web application, G2G, to solve the problems by promoting patient personalized goal setting system. By allowing multiple user data entry such as lab result and questionnaires, the software helps better communication between patient, clinicians and the T1D management team as well as systematic monitoring of the patient's progress. (View our technology brief - Techid: 16054)

HU-Buddy: Alternative Method for Delivering Directly Observed Therapy

Poor drug compliance has been an ongoing problem in clinical trials, in particular with infectious diseases such as tuberculosis and HIV. An effective strategy to improve drug adherence is directly observed therapy (DOT), in which a patient is watched by health workers to ensure they take the medicines. DOT has been criticized as being costly and time-inefficient. Emory inventors have come up with an alternative of DOT, a mobile application that allows the patient to send videos of themselves, taking medicines, to their selected caregivers. The application can be used in both clinical and research settings for drug adherence purpose. (View our technology brief -Techid: 17168)

Nursing Magnet Readiness Index (MRI)

The Magnet recognition in nursing was developed by the American Nursing Credentialing Center as a way to signify excellent nursing care in healthcare facilities. The MRI (Magnet Readiness Index) was developed by Emory nurses and faculty. The MRI dashboard provides an automatic method hospitals can use to self-evaluate metrics that would make a nurse Magnet recognized, compare scores related to nursing care, and identify areas that require improvement. (View our technology brief - Tech ID: 11095)

Software for the Visualization Patient Satisfaction Data

Patient satisfaction surveys are distributed in order to ensure the quality of care a healthcare provider has given. With this software, healthcare organizations are able to visualize the results of the data collected from these surveys. By doing so, this helps facilitate the analysis of these responses. Inventors Justin Rykowski, Marjan Khosravanipour, and Jason Stein recognized the dilemma in current resources data analysis, which provides data in large tables which make recognizing patterns and trends difficult. This software is able to take raw data from the surveys and create relational tables, run charts, and comprehensible graphs. Users are also able to visualize data by department, time period, or survey categories. (View our technology brief - Tech ID: 10109)

System for Real-Time Monitoring of Radiology Resources

There is an increasing demand for utilizing computed tomography (CT) in preventive and proactive health care. Hence, CT scanners usage efficiency becomes an essential task in large and populated hospitals. Emory and Georgia Tech researchers have developed an automated CT status display system specializing in reducing delays in acute stroke imaging. The system updates the real-time status of CT scanner occupancies for hospitals to better utilize their computed tomography machines. (View our technology brief - Techid: 17175)