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HEALTHCARE DATA FIRMS
Market Trends...
  • Established healthcare data and healthcare software companies grow lines by acquiring other specialized firms 
  • "Big Data" always prevalent in healthcare; insurers, pharma, clinical researchers, supply chains have been compiling and cultivating enormous data sets for years to base pricing, trend analysis, marketing strategy on
  • Healthcare IT / IoT / IoHT driving demand for more sophisticated analytics to develop more advanced applications


This is just a sample list of specialized healthcare apps, data management and software categories: 

  • Benefits Selection
  • Billing
  • Case Management
  • Clinical Trials
  • CRM
  • EHR / EMR
  • Formulary Management
  • HEOR 
  • Imaging
  • Internet of Things (IoT) / Internet of Health Things (IoHT)
  • Inventory Management
  • Logistics
  • Medical / Pharmacy Claims Processing
  • Medication Management
  • Outcomes
  • Patient Care Quality Levels
  • Procedure / Product / Service P&L Modeling
  • Risk Management
  • Robotic Process Automation (RPA)
  • Scheduling / Timekeeping
  • Social Media Monitoring (consumer / patient, clinician)

​The digital health marketplace continues to grow. More firms are entering the space and various consulting firms are developing and marketing their own proprietary software and data analytics services. Advanced reporting and analytic tools are being used for ever larger amounts of data and complex queries. In addition to healthcare clinical and financial informatics; imaging, simulation, Internet of Things (IoT) / Internet of Health Things (IoHT) and other applications are growing in sophistication.

In healthcare, IoT / IoHT is an integration of medical equipment, IT hardware and the digital space forming a productive network of connectivity in the healthcare sector. It is found in multiple settings including point-of-care, administration, pharmacy, supply chain and other medically-focused environments. IoT / IOHT converts data into actionable information, reporting and analytical formats while connecting medical devices, tracking systems, clinicians, patients and other stakeholders. There is a large scale movement in the industry to integrate this high degree of functionality as it has proven to improve quality of care, consumer / patient satisfaction, operational efficiencies and overall outcomes. While investment in this technology creates a spike in expenses, its long term use provides high clinical / economic performance which can reduce costs.  As healthcare provider organizations continue to consolidate while their business models expand, data integration and management is an ongoing challenge.

Pharma / device manufacturers, clinicians, healthcare administrators, researchers, benefit consultants, managed care professionals and others are seeking robust and easy to use programs providing wide utility and deep analytics. There is a wide array of applications available for them to choose from and many of them are highly specialized. Users are challenged about which ones are best for their particular use and need to account for them in budget, IT management, utility and longevity considerations.

Besides executing deep analytics, the usability, reporting and sharing aspects of the results are increasingly important; more queries are easily initiated via dashboards whenever possible. Reporting and data summary attributes are important features. As results are often exchanged between multiple stakeholders in and outside of an organization; the data must be well organized, maintained in familiar format and easily explained, clearly exhibited in discussions. The data generated is expected to be based on proven models through consistent analytical methods/business rules. 

For imaging and simulation, representations are richer than ever; showing depth, variation and detail. Scale and definition are paramount in quick and accurate diagnosis and patient monitoring. It supports the needs of clinicians in training and those in actual practice; true-to-life is healthcare making the most of the latest technology.

IBM and IMS Health have been expanding their offerings through organic product development and acquisitions. Through a portfolio approach, they are becoming "one stop shop" healthcare data resources for multiple entities in the industry. This enables them to deepen their expertise within healthcare and fortify their relationships a wider array of customer segments.

In early May, '16 IMS Health extended an offer to acquire Quintiles for $9.2 billion. The new $23 billion combined entity will be comprised of 50,000 employees with exceptional healthcare data capabilities in commercial and clinical applications.

IBM bought Merge Healthcare in 2015 to fortify its Watson healthcare platform capabilities. While IBM paid about $1 billion for Merge, they continue to purchase or partner with other technology companies to deepen their capabilities in multiple healthcare segments.

In early May, '16 IMS Health extended an offer to acquire Quintiles for $9.2 billion. The new $23 billion combined entity will be comprised of 50,000 employees with exceptional healthcare data capabilities in commercial and clinical applications.

IBM bought Merge Healthcare in 2015 to fortify its Watson healthcare platform capabilities. While IBM paid about $1 billion for Merge, they continue to purchase or partner with other technology companies to deepen their capabilities in multiple healthcare segments.

... This is a list of Healthcare Data Firms and Healthcare Software Companies; scroll down for presentations and healthcare data market trends ...
... Healthcare data and analytics is a complex industry sector; it covers two broad commercial entities: clinical and IT. There is a variety of approaches to build brand awareness, differentiation, customer engagement and marketing / sales. These healthcare marketing presentations provide further insights to strategies and tactics ...
<img src="71045155.jpg" alt="data analyst reviewing clinical results">
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