Disadvantages of Spreadsheets – Obstacles to Compliance in the Healthcare Industry

Most of the regulatory compliance issues we talked about concerning spreadsheets have been related to financial data. But there are other kinds of data that are stored in spreadsheets which may also cause regulatory problems in the future.

In the US, a legislation known as HIPAA or Health Insurance Portability and Accountability Act is changing the way health care establishments and practitioners handle patient records. The HIPAA Privacy Rule is aimed at protecting the privacy of individually identifiable health information a.k.a. protected health information (PHI).

Examples of PHI include common identifiers like a patient’s name, address, Social Security Number, and so on, which can be used to identify the patient. HIPAA covers a wide range of health care organisations and service providers, including: health plan payers, health care clearing houses, hospitals, doctors, dentists, etc.

To protect the confidentiality, integrity, and availability of PHI, covered entities are required to implement technical policies such as access controls, authentication, and audit controls. These can easily be implemented on server-based systems.

Sad to say, many health care organisations who have started storing data electronically still rely on spreadsheet-based systems. Those policies are hard to implement in spreadsheet-based systems, where files are handled by end-users who are overloaded with their main line of work (i.e. health care) and have very little concern for data security.

In some of these systems, spreadsheet files containing PHI may have multiple versions in different workstations. Chances are, none of these files have any access control or user authentication mechanism whatsoever. Thus, changes can easily be made without proper documentation as to who carried out the changes.

And because the files are normally easily accessible, unauthorised disclosures – whether done intentionally or accidentally – will always be a lingering threat. Remember that HIPAA covered entities who are caught disclosing PHI can be fined from $50,000 up to $500,000 plus jail time.

But that’s not all. Through the HITECH Act of 2009, business associates of covered entities will now have to comply with HIPAA standards as well. Business associates are those companies who are performing functions and services for covered entities.

Examples of business associates are accounting firms, law firms, consultants, and so on. They automatically need to comply with the standards the moment they too deal with PHI.

 

More Spreadsheet Blogs

 

Spreadsheet Risks in Banks

 

Top 10 Disadvantages of Spreadsheets

 

Disadvantages of Spreadsheets – obstacles to compliance in the Healthcare Industry

 

How Internal Auditors can win the War against Spreadsheet Fraud

 

Spreadsheet Reporting – No Room in your company in an age of Business Intelligence

 

Still looking for a Way to Consolidate Excel Spreadsheets?

 

Disadvantages of Spreadsheets

 

Spreadsheet woes – ill equipped for an Agile Business Environment

 

Spreadsheet Fraud

 

Spreadsheet Woes – Limited features for easy adoption of a control framework

 

Spreadsheet woes – Burden in SOX Compliance and other Regulations

 

Spreadsheet Risk Issues

 

Server Application Solutions – Don’t let Spreadsheets hold your Business back

 

Why Spreadsheets can send the pillars of Solvency II crashing down

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IT Transformation Defined

Businesses depend on IT to effectively manage business processes and to provide products and services to clients. As IT technologies advance, it is crucial that businesses update their hardware to remain competitive. But businesses should do more than simply upgrade their servers and should really strive to effect IT transformation.

What is IT Transformation?

IT transformation is the ongoing process of changing the way that a company uses IT to better align it with current business goals. Through the IT transformation process, businesses try to determine whether they are meeting mission-critical benchmarks through the incorporation of new IT technologies for corporate transformation.

For example, if one of the current business concerns is whether the company can improve customer service, the IT system will need to evolve in such a way that improves customer service in a measurable way.

Successfully Aligning the Technology to Business Goals

In order to successfully align the IT system with business goals, it is important to understand the newly integrated technologies to understand how they can change business processes. If a new feature is intended to make the server more secure, the management should know exactly how the feature will improve the security of the server and whether the new implementation is redundant.

Once the business objectives have been identified, IT transformation is carried out by changing both the software and hardware used by the company. An example would be the growing trend of server migration to the cloud. Cloud computing is the growing trend of making files and data accessible from anywhere. If an organisation believes that it can improve productivity through a server cloud migration, it will need a way to test this.

The IT Transformation Process

Given that IT transformation is directly related to the core business, the IT transformation process must begin by identifying which aspects of the company must be changed. Then, the company must determine?IT services that could potentially be integrated into the business in a way that will help the company achieve benchmarks. After the key decision-makers understand the IT network well enough to effectively implement it, the company must efficiently manage the transformation process. Then, after the IT has been integrated, the company must have a system in place to measure business transformation in a numerical way.

For example, when assessing customer satisfaction, one effective strategy would be to distribute customer satisfaction surveys that ask customers to rate their experiences on a scale of one to ten. The company can then measure the results of the customer satisfaction survey to determine whether the new IT implementations are accomplishing their intended goals.

If the expected benchmarks are not being met, the next step in the IT transformation process is to determine if there is a specific reason for that. Is there a way that the feature can be better integrated to achieve desired business objectives? Are there other features that can help the company better achieve its goals?

Upgrading a network can be an expensive process and it is important to identify early on which options are the most likely to benefit the company’s bottom line.

How to Improve Corporate Efficiency through IT

When revenues are low, what do you do to improve your profit? Obviously, those same revenues should at least remain the same. So, the objective would be to deliver the same products and services for less cost. More for less. Such is the essence of corporate efficiency.

There are many things that can make a company inefficient. There are outdated procedures, poor coordination between departments, managers? lack of business visibility, and prolonged down times, to mention a few. As a company grows, these issues get more severe.

You can overcome all these by deploying the right IT solutions. But don’t IT solutions increase spending instead? Au contraire. The last couple of decades have seen the rise of IT solutions that help companies’realise obvious cost savings in no time.

Streamline processes and keep departments in-sync

Company inefficiencies are largely due to outdated systems and procedures. These systems and procedures were not built for the dynamic and complex business environments of today that are being shaped by increasingly onerous regulations, fierce and growing competition, significant economic upswings and downturns, new battlefronts (like the Web) and logistical strategies (like outsourcing), and IT-savvy crooks.

So when your employees force outdated systems to meet today?s business demands, they’re just not able to deliver. At least not efficiently.

Another major cause of inefficiency is the discordance among departments, business units, and even individual staff members themselves. There are those who still use highly personalised spreadsheets and other disparate applications, which make data consolidation take forever and the financial close a perennial headache.

Costly devices like mobile phones, netbooks, and tablet PCs, which are supposedly designed to provide better communication, are not fully maximised. If these are subsidised by the company, then they also contribute to company inefficiency.

One way to deal with these issues is to deploy server based solutions. By centralising your IT system, you can easily implement various improvements that can pave the way for better communication and collaboration, stronger security, faster processes and transactions, and shorter down times for troubleshooting and maintenance. All these clearly translate to cost savings.

Gain better visibility

Corporate efficiency can be improved if your decision makers can make wise and well-informed decisions, faster. But they can only do this if reports they receive from people down the line are timely, accurate, and reliable. Basically, data should be presented in a way for managers to gain quick insights from.

If your people take too much time scrutinising, interpreting, and reconciling data, you can’t hope to gain a significant competitive advantage. Equally important to managing an ongoing project is the speed at which you make a go/no go decision to start or stop a project. A wise, quick decision will help you avoid wastage.

The same holds true when making purchases and investment decisions. It’s all about quickly eliminating waste and investing only on those that will give you fast, positive returns.

Clear business visibility will allow managers to allocate resources where they are most effective, to pinpoint what products and services being offered are more profitable, and to identify which customers are giving better business from an overall perspective.

These are all possible with business intelligence. We know, we know. You’ll say BI solutions will force you to break the bank. Not anymore. At least, not all. There are already two main types of BI solutions: on-premise and SaaS. The latter will generally cost you less.

Of course, each type has its own advantages, and you’ll really have to look into the size of your organisation, the number of source systems your decision-making platform is connected to, integration requirements, budget, etc. to make sure you get the most out of your investment.

But IT solutions cost an arm and a leg

Again, not anymore. These days, you can find IT products that are faster, more functional, and more powerful than their predecessors at a fraction of the cost. When it comes to getting more affordable IT products and services, you now have many options.

For example, you can turn to open source solutions to save on license costs. These solutions are typically backed by vibrant and helpful communities where you can find an extensive source of technical support – many of which are for free. With popular open source products, you can easily tap from a large pool of developers with affordable rates any time you want to make system enhancements or customisation.

On another front, virtualization solutions allow you to save on CAPEX and OPEX by eliminating certain expenses normally used for setting up infrastructure or buying hardware and maintaining them. Server virtualisation, for instance, will allow you to consolidate servers and put them together into just one machine, while desktop virtualisation will enable you to eliminate unproductive hours associated with desktop down times by allowing you to redeploy a malfunctioning desktop very quickly.

Closely related to those are cloud-based solutions like SaaS (Software as a Service), IaaS (Infrastructure as a Service), and DCoD (Data Center on Demand). SaaS and IaaS will help you realize savings in acquisition and maintenance costs for software and hardware, while DCoD?s scalable services allow you to request for additional capacity, power and storage only as you need them, thus making you spend only according to your current infrastructure requirements.

Like we said, there are many, many options out there just waiting to be tapped.

New Focus on Monitoring Soil

There is nothing new about monitoring soil in arid conditions. South Africa and Israel have been doing it for decades. However climate change has increased its urgency as the world comes to terms with pressure on the food chain. Denizon decided to explore trends at the macro first world level and the micro third world one.

In America, the Coordinated National Soil Moisture Network is going ahead with plans to create a database of federal and state monitoring networks and numerical modelling techniques, with an eye on soil-moisture database integration. This is a component of the National Drought Resilience Partnership that slots into Barrack Obama?s Climate Action Plan.

This far-reaching program reaches into every corner of American life to address the twin scourges of droughts and inundation, and the agency director has called it ?probably ?… one of the most innovative inter-agency tools on the planet?. The pilot project involving remote moisture sensing and satellite observation targets Oklahoma, North Texas and surrounding areas.

Africa has similar needs but lacks America?s financial muscle. Princeton University ecohydrologist Kelly Caylor is bridging the gap in Kenya and Zambia by using cell phone technology to transmit ecodata collected by low-cost ?pulsepods?.

He deploys the pods about the size of smoke alarms to measure plants and their environment.?Aspects include soil moisture to estimate how much water they are using, and sunlight to approximate the rate of photosynthesis. Each pod holds seven to eight sensors, can operate on or above the ground, and transmits the data via sms.

While the system is working well at academic level, there is more to do before the information is useful to subsistence rural farmers living from hand to mouth. The raw data stream requires interpretation and the analysis must come through trusted channels most likely to be the government and tribal chiefs. Kelly Caylor cites the example of a sick child. The temperature reading has no use until a trusted source interprets it.

He has a vision of climate-smart agriculture where tradition gives way to global warming. He involves local farmers in his research by enrolling them when he places pods, and asking them to sms weekly weather reports to him that he correlates with the sensor data. As trust builds, he hopes to help them choose more climate-friendly crops and learn how to reallocate labour as seasons change.

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