Health care practitioners are working with an ever-growing volume of electronic patient information without optimal means of navigating and displaying relevant data. MedDash Medical Dashboards address these issues with a proprietary software system built around an innovative data representation concept known as Visually Intuitive Monitoring or VIM.
VIM provides a simple user interface to allow rapid, lag-free browsing of all available electronic patient data. While data are currently available mostly in a raw, unorganized fashion, VIM presents information using visually intuitive imagery allowing domain experts to rapidly interpret the data. By providing a domain expert-specified context for data to be displayed in, VIM also functions as a teaching tool and offers domain experts the ability to review data with domain novices in a more efficient and focused fashion. VIM allows the user to determine quickly and easily what kinds of information are available and how they are distributed through time. Additionally, the complete MedDash system provides two advantages that enhance the utility of the displayed information. First, it allows the user to run bedside simulations of therapeutics and view the estimated results. These simulations are built on established models developed in medical literature, and will be improved over time by the second critical aspect of the medical dashboard system, the underlying neural fuzzy logic algorithm. The neural fuzzy logic algorithm is responsible for continuous improvement of data representation as well as the understanding of individual patient readings and treatment methods. This is accomplished through a systematic analysis of the multidimensional data space represented by the vast amounts of available patient information. More specifically, MedDash can: identify and display critically relevant data points that best indicate risk factors and dangerous conditions; more closely identify the range of normal instrument readings for an individual patient by correlative interpretation of data; and continuously improve the predictive models as they relate to the intersection of treatment methods that are applied to a patient. The most immediately valuable aspect of MedDash is VIM, the domain specific data representations expressed in a visually intuitive manner, with ancillary functions of therapeutic simulations and adaptive data selection and improvement. The prototype has already been deployed in an ICU setting.

State of Development
∑ Early stage software prototype has been developed and is deployed in ICU setting with included models for ICU patient care
∑ Data structures and basic display parameters have been developed
∑ Example screenshots have been produced to demonstrate value of VIM
∑ U.S. patent entitled Intensive Care Information Graphical Display has been issued

Patent
∑ Title: Intensive Care Information Graphical Display
∑ Issue Number: 5,921,920
∑ Important Claims:
o Gathering of static data from patient monitoring equipment
o Display of data within relevant patient parameters
o Use of visually intuitive imagery to display data
o Built in bedside simulation
o Use of neural fuzzy logic algorithm to continuously improve data representation, understanding of specific patient parameters, and understanding of the interaction of simultaneous treatments

Interested In:
∑ License
∑ Consulting work for PI
∑ Sponsored Research Agreement

Contact
Tom Fitzsimons
Director, Licensing Physical Sciences
Center for Technology Transfer
University of Pennsylvania
3160 Chestnut Street, Suite 200
Philadelphia, PA 19104
Phone: 215-573-4509 Fax: 215-898-9519
Email: fitzsimons@ctt.upenn.edu

File Number: U4672