Office of Technology Transfer – University of Michigan

Data system for ongoing data capture in routine patient care

Technology #6235

Questions about this technology? Ask a Technology Manager

Download Printable PDF

Categories
Researchers
Kai Zheng
Managed By
Drew Bennett
Associate Director - Software Licensing 734-615-4004

According to the World Health Organization, the United States spends more on healthcare than any other nation, while its health care quality ranks last in quality when compared to similar countries. In 2011, health care costs accounted for 17.6% of the country’s GDP, more than twice the amount of the OECD average. Thus, the U.S. healthcare industry is seeking to decrease healthcare costs while improving patient outcomes.

Due to federal incentives, many US hospitals have adopted electronic health records (EHRs) for their patients, and it is expected that by 2016, 95% of hospitals will use EHRs to store patient information. Healthcare records contain vast amounts of analyzable data that, successfully used, can help manage patient health and wellness, as well as give new insights into population health management. Predictive data analytics and content management systems connected to the Cloud will facilitate better patient care by enabling the rapid communication of relevant information between patients and their doctors and healthcare providers. Access to complete, organized data of a patient’s health history will allow doctors to design personalized preventive therapies, rather than costlier remedial therapies. Existing data management software does not accommodate the need for extra data collection or analysis. Data system solutions that can manage and analyze a patient’s complete medical information are necessary.

Software system for patient healthcare data organization and analysis

A newly developed data management system has modularized building blocks that can be quickly put together to create applications for different medical contexts. The blocks can be easily reconfigured, imparting the software with the ability to meet diversified needs at significantly reduced costs, since only one type of software is needed for the organization of all patient data. This software not only allows for easier EHR data integration in hospitals and other health provides – it also provides research-oriented analytics tools that extract valuable information from health records, assisting practitioners in the development of better patient care strategies.

Applications

  • Ongoing data capture at healthcare provider institutions.
  • Clinical trial management and patient registration
  • Personalized healthcare solutions.

Advantages

  • Software has modular and configurable building blocks.
  • Ability to meet diversified needs at lower costs.
  • Data analytics tools are an integral part of the software.