With everything in life, you get out what you design for.
What more do you need out of healthcare?
Patient Insight is a female co-owned and operated C-Corp based in Los Angeles and Washington DC. We are team of engineers, data scientists, and designers from the commercial space plus leaders in medicine, healthcare policy, quality, safety and clinical informatics.
As an innovation studio, our clients are our partners and we are currently working on a variety of high-impact initiatives where data-driven insights change behaviors and move the needle in healthcare, from better decisions by physicians at the point of care, to improving medical response in natural disasters and public health emergencies.
BRINGING CLINICAL DATA INTO FOCUS
EHR data visualization and data mining for safer, more efficient care
Multidisciplinary expertise in technology + design + clinical informatics + NLP + medicine
Chose projects with clear clinical and financial value proposition for hospitals
Improve the lives of clinicians
Automated Data Abstraction for Accreditations
(Partnership with American College of Cardiology)
National Institute of Health | SBIR| R43 LM012955-01
Health service accreditation and certification programs are a critical mechanism to direct quality improvements and ensure compliance with regulations. Reporting on requisite accreditation measures currently requires human data abstractors to interpret heterogeneous and disparately presented data elements in an electronic health record (EHR), both structured and unstructured, which is resource intensive for hospitals. Replacement of human elements using evolving automated data abstraction methods and a novel data visualization to improve their workflow would solve an important, unmet need and offer a dramatic improvement on the status quo.
Project DAViD (Data Visualization for Doctors)
National Library of Medicine | SBIR| GRANT12706150
Despite widespread adoption of EHRs, the majority of care delivered in the U.S. is not informed by a complete and accurate account of patient’s past medical histories, resulting in misinformed, inefficient, and unsafe care. The problem stems from the lack of interoperability between EHRs, and that EHRs are not designed for the information needs of physicians as they make decisions at the point-of-care.
This is particularly problematic in the Emergency Department where a physician can have five minutes or less to make diagnostic and treatment decisions on patients they have no history with. These can be complex, critically ill patients with hundreds or thousands disparate records to understand in an environment with major outcome and cost implications – where an insight from a hard-to-find note or discharge summary could be the key to avoiding unnecessary tests, hospitalization or harmful treatment.
Ideally technology would facilitate clinical decision making, acting as an extension of the mental models of clinicians.
Interface design would be intuitive, visual and adapt real time to the situation (i.e. clinician specialty, patient comorbidities, or chief complaint).
Ultimately, it would be oriented and optimized to:
be comfortable and clinically substantive to use
reduce adverse iatrogenic events
drive cost-effective care for the situation
Our research indicates that physicians would prefer the ability to quickly visualize a patient’s “story” and drill down and discover specific data at will. Advanced data mining, visualization and discovery tools as an alternative to automated clinical decision support.
Project DAViD (Data Visualization for Doctors) is a novel platform to unify EHR data across disparate systems and using advanced analytics and natural language processing, to mine and prioritize the most relevant information in a proprietary visual design that that is intuitive to how physicians make diagnostic and treatment decisions.
VISUALIZING & CONNECTING
Assistant Secretary of Preparedness and Response (ASPR)
US Department of Health and Human Services
Patient Insight is working with ASPR on maintaining an inventory of emergency, trauma and burn capability / capacity in the US + future technologies to improve medical response in disaster, mass casualty, or other public health emergencies.
Maintain datasets for use by providers, emergency response, policymakers, researchers, and the public
Develop online and interactive maps, reports and other tools