Enterprise-Level Health-Care Applications
Today most health-care companies are struggling to find ways to improve patient care, reduce costs and provide more and better service. They increasingly see technology as a solution to these requirements. Our company is no different. We have approximately 1,300 employees in 13 states and 40 offices. Our existing patient care system and financial accounting system were developed over ten years ago and were not designed to handle the requirements of a large, distributed organization.
Many members of our executive team have backgrounds in high-volume claims processing, where millions of claims have to be processed daily on high availability systems. Our CEO and the executive team defined the following requirements for our new IT applications:
It must be scalable, portable, reliable and secure.
It must address the requirements of the Health Insurance Portability and Accountability Act (HIPAA).
It must integrate all our applications and provide business-to-business (B2B) capability.
It must meet the “four As” of availability: accessible, anytime, anywhere and on any device.
It must be cost effective.
Scalability is a matter of survival. Many vendors have said, “hardware is so cheap, just throw more hardware at it.” This is a good solution until you are responsible for a budget and getting it past a CFO. In our situation we must not sacrifice one byte of memory, one processor cycle nor one block of disk to bloated, inefficient applications and systems.
Portability and scalability are related. If our application is written on an Intel platform, but must run on a mainframe to perform as needed, that application must be portable to different operating systems running on different hardware. Our hardware selection today may change a year from now based on speed, cost, support, reliability and available talent to run the system. We can't replace our applications whenever we change our hardware.
HIPAA, passed by the US Congress and signed into law in 2000, has tremendous implications for health-care companies. These laws take effect in 2002. HIPAA's authors intended to standardize how claims are processed, how data is exchanged between companies and how patient information is accessed and stored. The applications and systems we run must conform to HIPAA requirements and must change with the regulatory environment. Health-care companies will spend two to three times the cost of Y2K on HIPAA conformance, according to industry analysts.
Industry analysts also claim that health care is one of the last industries to take significant advantage of advances in information technology. Many health-care companies' information systems run on old, sometimes very old, technology, and our systems must communicate with them. When we enroll a patient in our medical information system, we must automatically enroll that patient in our pharmacy provider's system so the patient can fill their prescriptions anywhere in the US the same day. We must also send information to our medical supply company to allow the patient to get medical supplies without excessive delay.
Our company evaluated over 50 health-care applications. None could address our needs. Some companies had just invested millions of dollars to go from DOS application to client/server, 32-bit Windows applications. Some had DOS applications and just looked at us funny when we tried to explain what we wanted. In the end we found nothing that fit our needs. Our solution was to put together a team of highly experienced developers with backgrounds in high-volume transaction processing and build a transaction backbone and the applications to run on top of it.
Our first task was to define the broad outlines of the architecture. We wanted an N-tier architecture, but beyond that we wanted one that placed no limits on possible solutions. We evaluated several transaction engines and application servers. All failed to satisfy our requirements. Commercial transaction engines were either extremely expensive to purchase, maintain and develop on or they were too inflexible or unreliable for us.
How much reliability do we require? If an e-tailer goes down .1% of the time, about nine hours per year, the worst likely outcome is the loss of some orders. However, when a nurse needs to access patient records to learn a patient's medication and dosage, downtime is a different issue. It's simply not acceptable.
Getting Started with DevOps - Including New Data on IT Performance from Puppet Labs 2015 State of DevOps Report
August 27, 2015
12:00 PM CDT
DevOps represents a profound change from the way most IT departments have traditionally worked: from siloed teams and high-anxiety releases to everyone collaborating on uneventful and more frequent releases of higher-quality code. It doesn't matter how large or small an organization is, or even whether it's historically slow moving or risk averse — there are ways to adopt DevOps sanely, and get measurable results in just weeks.
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