Melissa Informatics Combines AI and Traditional Data Quality to Increase Insight into Electronic Medical Records

Author | Healthcare Data Management, Melissa Informatics, News & Events, Press Release | , , , , , , , , ,

Clinical Research Customer Case Study Featured at Bio-IT World Demo

Rancho Santa Margarita, CALIF – April 2, 2019 – Melissa, a leading provider of global contact data quality and identity verification solutions, will offer a real-world look at how to clean, harmonize, and connect disparate content sources for clinical discovery at the upcoming Bio-IT World Conference. Melissa will share a clinical research customer case study to illustrate how traditional data quality methods effectively blend with ontology-enabled artificial intelligence (AI) for machine reasoning. Together these technologies improve data normalization and integration, powering new levels of insight into electronic medical records (EMR).

The case study features the Melissa Informatics Sentient™ (MIS) platform, an array of data quality solutions, datasets, and knowledge engineering resources applied to help the Parkinsons Institute and Clinical Center (PICC) extract, curate, normalize, integrate, and realize useful outcomes from EMR data.

“By blending AI and sophisticated data quality, PICC transformed data such as unstructured text, XML, tables, tsv and other data formats into a research quality, well-managed data resource,” said Bob Stanley, senior director, customer projects, Melissa Informatics. “The resulting clean, well-integrated data supports both clinical and business goals, including researching and publishing data discoveries, and driving revenue-generating, pharmaceutical research partnerships.”

For case study details, visit Melissa Informatics at booth 523 at the Bio-IT World Conference, April 16-18, 2019, at the Seaport World Trade Center in Boston; click here if you prefer to set a briefing appointment. To connect with Melissa Informatics or members of Melissa’s global intelligence team outside of this event, visit www.Melissa.com or call 1-800-MELISSA.

About Melissa 

Since 1985, Melissa has specialized in global intelligence solutions to help organizations unlock accurate data for a more compelling customer view. More than 10,000 clients worldwide in arenas such as retail, education, healthcare, insurance, finance, and government, rely on Melissa for full spectrum data quality and ID verification software, including data matching, validation, and enhancement services to gain critical insight and drive meaningful customer relationships. For more information or free product trials, visit www.Melissa.com or call 1-800-MELISSA (635-4772).

About Melissa Informatics

Melissa Informatics extends the capabilities of Melissa’s global intelligence software and services to support world leaders in life sciences, biotechnology, pharmaceutical, and medical industries by harnessing the entire data lifecycle for business, pharmaceutical and clinical data. Our software and services bring data quality and machine reasoning together for insight and discovery by intelligently cleaning, connecting, and harmonizing multiple sources to offer interoperable data. Melissa Informatics reduces time and cost to benefit from clean, richly connected data. Revealing deeper data relationships from complex, dynamic data through machine reasoning operations, Melissa Informatics ensures the most reliable information in mission critical financial services, healthcare, and life science informatics. For more information or free product trials, visit www.Melissa.com/informatics or call 1-800-MELISSA (635-4772).

Melissa Unlocks Insight and Revenue with Breakthrough AI Tools for Clinics and Research Centers

Author | Clinical Data Quality, Healthcare Data Management, Machine Learning, Machine Reasoning, Melissa Informatics, News & Events, Press Release, Product Launch | , , , , , , , , , , , ,

Cutting Edge Data Quality Transforms Real-World Clinical Data into a Future-Proofed, Research-Ready Data Goldmine for Better Patient Care

Melissa, a leading provider of global contact data quality and identity verification solutions, today announced advanced artificial intelligence (AI) solutions that combine machine reasoning, natural language processing, and machine learning to tackle one of healthcare’s biggest problems: the time and cost of data harmonization and integration.

Hospitals, clinical care, and clinical research organizations are sitting on a veritable data goldmine, based on data gathered for years from electronic medical records (EMR), electronic health records (EHR), and laboratory information management systems (LIMS). While this real-world clinical data is unusually valuable, it is also unusually complex and diverse. Melissa Informatics’ Sentient (MIS) solution is a new and unique set of clinical data quality and integration tools that quickly and easily turn diverse, dirty, and disconnected data into a clean, research-ready data resource. Melissa Informatics has laid out the company’s easy-to-follow steps to turn clinical data into a future-proofed, AI-enabled “knowledgebase” in its newest paper, “The Six-Step Guide to Turn Clinical Data into Gold,” downloadable here.

“Too often, clinical data is expensively gathered and under-valued,” said Bob Stanley, senior director, customer projects, Melissa Informatics. “When you apply machine learning and machine reasoning to access, curate, and integrate this data, it becomes ready for rewarding new uses in patient care, precision medicine research, intellectual property, and unexpected new revenue.”

Melissa Informatics further demonstrates the value of AI-enabled data quality by providing real-world use cases from world-renowned clinics including Parkinson’s Institute and Clinical Center (PICC) and PROOF Centre.

Using Melissa Informatics MIS technology, PICC transformed data such as unstructured text, XML, tables, tsv, image content and other data formats into a research quality, well-managed data resource. This helped the organization meet its technical goals including creating a new, unified “Parkinson’s Insight” data resource – as well as its business goals, including researching and publishing discoveries from that data, and engaging in revenue-generating partnerships based on the new data resource. Access the full case study here.

PROOF Centre used MIS tools to better understand and model connections between desired data sources, working under PIPEDA, HIPAA, Safe Harbor and EMEA requirements for handling of confidential patient data. MIS enabled a global platform for integrated search and reporting, analytics, and knowledge creation and sharing. This project integrated diseases, treatments, outcomes, tissue bank information, laboratory data, molecular data from blood (gene expression, proteins, metabolites), and published data. Access the full case study here.