High Quality Information Access for Life Sciences & Healthcare Organizations

From drug discovery to development to patient care, Semaphore's content classification and search enhancement capabilities are working hard across the life sciences and healthcare spectrum.

Improving findability and providing governance

Life sciences companies are under constant pressure to bring products to market quicker, maximize their return on each new product introduced to the market, comply with stringent government regulations, understand the impact of patent expiration on their product portfolio, and to rapidly respond to competition from other life sciences companies and generic products.

Information is the lifeblood of this industry – from discovery to clinical trials to development to sales and marketing – and needs to be carefully managed so that scientists and researchers can access, search and reuse information that is essential to R&D innovation.

Regulations are strife in the Life Sciences industry. Apart from standard regulations such as corporate governance, risk, and compliance, the life sciences industry has to also address a broad range of industry specific regulations like 21 CFR Part 11 or GCPS, GMPS, etc.

Helping patients make an informed choice by providing high quality, simple information access

Today, the healthcare industry faces a range of significant challenges in the delivery of patient care including rising healthcare costs and high patient expectations.  To meet high patient expectations, healthcare institutions have started investing considerably in providing better information to patients.  The challenge with providing information is that patients need to be able to understand doctor-speak – language that doctors, clinicians, nurses and other healthcare providers use.

For Life Sciences and Healthcare, Semaphore provides:

• Integration with search engines such as Google, FAST, Apache/ Solr and enhance their search capabilities by accurately and consistently applying metadata and classification and using an ontology-driven solution.
• Integration with SharePoint, OpenText, Documentum and other content management systems to provide better search, management, repurposing, governance, control and disposition of content within these systems.
• Classification against well-known pharmaceutical taxonomies such as MeSH and SNOMED-CT