Digital Transition Can Be Complete only with Ideal Security Measures

Digital Transformation Can Be Complete only with the Best Security Practices

Ensuring full data security is crucial for the healthcare industry. Any digital transition can be complete by adopting reliable security measures

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All players in the vast and complex healthcare industry are transforming digitally – a move that is of utmost importance today. Data residing in paper, microfilm and microfiche is also being converted into electronic data with the support of data conversion services. There is great scope for improvement in the current patient treatment delivery system with the enormous useful data available. Healthcare providers realize that consumer demographic and lifestyle data must be applied in such a way so as to change the focus from providing mere “sick care” to partnering with “people” rather than “patients.”

The government and private sectors are spending huge sums on building electronic health record and claims systems to automate and record transactions related to treatment of illnesses. This digital stride does support payment accuracy and reliable quality of care.

However, such data is backward- rather than forward-looking. The need of the day is to envisage future health requirements and how consumers will interact with health resources.

For this, the healthcare industry must take steps to integrate selected consumer data with the medical and claims data available.

A proprietary database can be created from multiple private and public sources to understand the relationship between consumer demographic data, health and interactions, and the healthcare system. The data includes different demographic and lifestyle information such as income, home ownership, household composition, buying patterns, voting history, social networking activities etc. It also includes clinical, claims and health resources use data. With machine learning algorithms and models you can combine these data and obtain insight from each combination.

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The relationship between a diagnosis, income level and commuting patterns can help discover predictable patterns.

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The data obtained can be used to generate other predictive models quickly and efficiently.

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Behavioral contributors to health can be identified and thereby the interventions and messages that could have the most impact in determining consumers’ behavior to improve health can also be identified.

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A study by Harvard Business Review found that household composition and voting history could be leading indicators for ER usage.

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Childless or single-child inappropriately.

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Such findings would in turn help to recommend educational interventions and incentives that can help reduce any such inappropriate use.

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Predictive data models can also help in understanding which health engagement channels (text, email, automated voice, phone, coaching, or a combined approach) are likely to be most effective for a particular person. The researchers in the abovementioned study used a predictive model and found that the Philadelphia Eagles fans are more likely to join condition-management programs when contacted via text rather than email.

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Another way of putting predictive models to work is to fill up gaps where clinical data is unavailable or is insufficient. Demographic and lifestyle information helps to identify if the patient is obese, diabetic etc. Clinical data and expertise are important but the only way the healthcare industry can improve care is by understanding the customers or patients at an individual level.

What is the major advantage of combining such important consumer attributes with a national health plan client’s data? It is possible to bring about considerable increase in medical cost savings and ensure improvement in the engagement with care management programs. For this, individuals who are at increased risk of being readmitted to the hospital within 30 days and who would be more likely to be receptive to outreach and respond well to a care management program can be identified.

There is no doubt that consumer data is of utmost importance to ensure proper health care.

Consumers have to be understood at an individual level and for this information regarding every aspect of their lives is required. Only this can help create customized interventions that can drive positive behavior change and improve outcomes.

Once the data is obtained, security is crucial. Only with reliable security measures can any digital transition be complete. According to a recent Gartner report, by 2020 at least one major safety incident will be caused by an IT security failure that can lead to huge damages.

The next generation of healthcare service will be defined as direct integration of technology, security and healthcare service designed to positively impact the lives of consumers and to understand next generation security, healthcare leaders should associate with reliable partners to ensure data security. Here are some data security factors to consider.

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Healthcare organizations are increasingly investing in new innovative methods like tele medicine, advanced patient portals and so on. It is vital to ensure security in all these initiatives. An efficient IT environment with new digital framework and security systems is necessary.

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Gartner recently found that adding telemetry to cloud workloads will be important to manage security failures. No matter how professional or safe the vendor is, telemetry and documented testing will allow security teams to show the business proof that the cloud is working safe. A digital environment with no visibility is not acceptable. Ensuring security, monitoring regularly and end user best practices will reduce your overall threat and allow you to respond quickly. Good security architecture provides more visibility, better protection of data and interaction and this will ensure better and informed businesses decisions.

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Security technologies ensure corporate health benefits and if you are deploying new systems it is important to be thorough with them to avoid unnecessary risk. Take your own time to understand core security features associated with the cloud, virtualization, big data, storage, encryption and so on. Also, test these systems in a real world environment so that it is much easier to examine these types of architecture which helps to build a clear use-case, understand the ideal technological fit, and also how to evolve for future requirements.

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If the available data is to be put to good use, any kind of data breaches must be avoided. A breach can occur at any point in the movement of data, which makes it vital to ensure maximum security even when utilizing outsourced solutions such as data cleansing services. A Ponemon data breach report shows that breaches in the healthcare industry total $6.2 billion annually, and the average cost of a single data breach across all industries is now $4 million. Providers aiming to be leaders in the healthcare industry must work with reliable partners and the entire organization must be involved in the process of healthcare data security. Ensuring security involves building confidence, earning valuable experience, and utilizing innovative systems effectively to provide powerful healthcare services.

www.managedoutsource.com

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