Healthcare
All Datactics Data Quality initiatives in the Healthcare Sector are focused on cutting costs and increasing revenues through accurate, standardized and accessible product data.
All Datactics Data Quality deliverables in the Healthcare Sector are focused on improving service, cutting costs and increasing revenues (where appropriate) through accurate, standardized and accessible product data.
Data Mastering
Match and find alternative items for customers and patients, or on-board information going into internal Master Data Management (MDM) and E-Commerce systems faster. Datactics is focused on delivering improvements to your organization through accurate, standardized and accessible product data.
Automated Data Matching
A lot of money is spent on MROs like scalpels and bandages etc. These smaller items are very hard to match against negotiated contracts, which is important for volume discounts. Datactics automates bulk item matching saving up to 80% on the associated labor costs, and driving revenue. The automated matching can be used to gain more member hospital business by matching a previous bulk order and showing the immediate savings on items if bought with the bidding GPO. This price matching can even be run from a Sales Reps laptop for on premises results.
Finding Alternative Items
GPOs are usually manufacturers and distributors who have hundreds of thousands of products to sell. Customers looking for an item have to find it through ‘parametric search’.
If the customer can’t find the exact item, they need to find an equivalent item. For example, there are different variations of an item, some of them cost more, and some cost less. If type A is out of stock, too expensive or unavailable, suitable alternative items are offered to the customer. This will increase revenues and margins by directing customers to alternate items and therefore giving a higher quality customer experience.
Product and Supplier Integration
It can take weeks to roll out a new product in large part due to the difficulties of exchanging and updating new item information in buyer and seller systems.
One of the quickest ways to increase revenue is to integrate suppliers and products more quickly and accurately into an online product catalog. Datactics cleanses and standardizes product and supplier information which is then loaded at speed into an online product catalog, even if data comes from various sources. This improves time to market, generating revenue.
Healthcare Patient Records
Patient records are often in unstructured long form text which means it is difficult to extract specific information from them for health and safety or staff instruction purposes.
For example, accident reports are recorded in unstructured long form text. For HIPAA compliance, as well as analysis purposes patients’ details need to be kept anonymous. The free text nature of the data and the large number of sources from which the data is gathered presents difficulty in identifying patterns within the data to assist the tagging and ensure the anonymity process. Datactics extracts specific information from unstructured records which is then fit for analysis by the data user. Datactics identifies and extracts usable information by parsing unstructured data and standardizing information such as units of measure. It will also deduplicate, merge and fill in missing fields once data is consistent.
If the Healthcare sector is of interest to you please look at the following Case Studies which highlight the real results achieved by organizations operating within the sector –
- NHS Supply Chain. The UK NHS (National Health Service) supply chain operation manages product sourcing and delivery for over 620,000 products to more than 600 NHS Trusts and Healthcare organizations. Datactics delivered an innovative and automated solution for effective product and catalog matching to the NHS Supply Chain
- Royal Phillips Electronics. With high volumes of ever changing product data, Phillips had a need for data cleansing. Using Datactics, 30% duplications were removed and the data remained clean.
- Data Anonymization Solution. In some cases actual data needs to be made anonymous before it can be analysed - to protect the people or companies involved. Datactics provides this solution by parsing unstructured data, in this example for a national hospital reporting agency.




