New app maps patients’ health risks
June 13, 2012 in Medical Technology
WASHINGTON – IndiGO, an application developed by San Francisco-based Archimedes Inc., uses a patient’s EHR and advanced algorithms to generate graphical analyses of that individual’s health risks. The app brought its game face to last week’s Health Data Initiative (HDI) in Washington, D.C., eventually walking away with a win.
IndiGO was presented with the “Best of Care Applications” award at the HDI event earlier this month for its ability to provide a graphical representation of a patient’s heart attack or stroke risk, chance of developing diabetes and the predicted impact of interventions, such as lifestyle changes and medications that are most effective at reducing these risks.
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The algorithms that make this possible incorporate clinical evidence related to diseases, behaviors and interventions. IndiGO and individualized guidelines can be used at the point-of-patient care, involving the patient in the decision-making process and improving collaboration between patient and provider. IndiGO is designed for use within ACOs, medical groups, integrated delivery networks (IDN), independent practice associations (IPA) and patient-centered medical homes (PCMH).
“The ‘Best of Care Applications’ award for IndiGO represents further recognition of the value of clinical decision support, delivered at the point of patient care,” said Josh Adler, vice president of Archimedes and IndiGO business leader. “IndiGO’s unique capabilities, in the hands of our physician partners, have been found to drive better patient engagement and increase adherence, leading to improved outcomes and lower costs.”
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The HDI, now guided by the Health Data Consortium, encourages innovators to utilize health data to develop applications to raise awareness of health and health system performance, and spark community action to improve health. Archimedes was one of 17 companies, chosen by a panel of judges from among more than 200 contending companies, to present during the main stage session at Health Datapalooza.