The following articles are of interest and relevance to WhamTech'sProduct™ approach:
"Lack of HIT , by Elizabeth O'Dowd, HIT Infrastructure, April 7, 2017 Leaves Infrastructure Gaps"
WhamTech uses its own unique cleansed -based adapters to process queries, support healthcare standard FHIR REST APIS on premise, in the Cloud or both (Hybrid), seamlessly and automatically enable a single patient or other master data view of all data in multiple data sources, and write back to data sources.”
- "Hackers will target hospitals like never before in 2017", By Tom Sullivan, Healthcare IT News, April 6, 2017
"APIs, EHR Data Integrity, Patient Access Key to Value-Based Care", by Jennifer Bresnik, HealthAnalytics.com, April 6, 2017
WhamTech enabling FHIR REST APIs for of all data across multiple systems, including read and write back, and supporting new workflows in #BPM on legacy systems with ultimate goal of any app working with any data source(s).
"How hospitals can use data analytics to improve RCM performance", by Kelly Gooch, Becker's Hospital Review, April 4, 2017
"RCM tip of the day: Invest in a shared data platform", By Kelly Gooch, Becker's Hospital Review, April 4, 2017
"Buying into Healthcare’s Blockchain Hype", by Rajiv Leventhal, Healthcare-Informatics.com, April 4, 2017
WhamTech works with Bitcoin/Blockchain and says that would mean agreement on a universal patient ID – one of the main hurdles.
- "What Exactly Do We Mean By Digital Disruption?", by Roger Nolan, Business2Community, March 31, 2017
"To solve lack of interoperability, health IT tries third-party apps, HIEs", by Kristen Lee, TechTarget, March 31, 2017
WhamTech’s ™ is one of the third-parties enabling true interoperability through single patient views across multiple disparate data source, including devices and writing back to data sources through FHIR REST APIs, data services and BPM workflows.
"Top 4 Machine Learning Use Cases for Healthcare Providers", by Jennifer Bresnik, HealthAnalytics.com, March 31, 2017
- "A Grand Unified Theory of Metadata", by Ian Rowlands, DATAVERSITY, February 17, 2014
Short article on the drive to combine structured data, content (free text) and unstructured data (Big Data). Ian Rowlands proposes using a large-scale business ontology to achieve this combination, but does not extend that thought. WhamTech agrees with the ontology approach and has made efforts in that direction, including (a) defining entities in structured data models and then capturing both internal external joins as ™ for an ontology representation without the inherent predicate of triples, (b) applying entity extraction and text analytics to identify entities and relationships among entities to content (free text), and (c) structuring unstructured data in Big Data through a combination of data transformations for index and results data to fit ontology elements and attributes, and then applying Link Indexes™ similar to structured data.
- "Hadoop Is Not a Solution", by Merv Adrian and Ted Friedman, Gartner, January 23, 2013
Summary of the main reasons why Hadoop does not at the time and currently meet the requirements of a data integration solution, namely resolving semantics, data quality and relationships among data. WhamTech's solution addresses each of these reasons.
- "Why Big Data Doesn't Always Equal Big Insight", by Shvetank Shah, Information Week, November 7, 2011
Short article on the problems facing Big Data. The article mentions three main problems in order of importance: 1. Access to data, 2. Unusable formats and 3. Reliability – where did data come from and how complete is it? Of course, WhamTech believes that EIQ Products™ solve all three problems and more.
- "Inmon's Vitrolic Slap at "Virtual Data Warehousing" Does Not Withstand Scrutiny", by James Kobielus, Information Management, April 3, 2009
- "Dataless Hybrid Approach Solves Many Universal Data Integration, Sharing and Interoperability Problems", by Gavin Robertson, Information Management, March 13, 2007