Managing Pharma Regulations with MDM

The pharmaceutical industry has treasured and gleaned more than its fair share of media captivation and attention following headlines revealing the recent Vioxx drug reminiscence, in which older American patients buying drugs from Canada face the accusations and allegations of drug manufacturers and the related prices hiking up impacting the face of AIDS epidemic and Fen-Phen anti obesity drug norms and defined lawsuits. Apparently deliberations and contemplations have been made to mount the federal government following the lead of top five American states and again authorize and constitute new regulations on the physical marketing and respective spend. In spite of facing critical and severe public relation crisis, the pharmaceutical sector continues to yield strong and profitable benefits and fighting against a hail of new regulatory and administrative threats in what has been already is one of the most highly managerial and governing industries.

Muddling to Find Solutions – At such an uncertain and ambiguous environment, IT managers and compliance professionals are juggling with each other to find beneficial solutions to address existing as well as forthcoming regulatory prerequisites. After priory investing zillion of dollars on Sarbanes Oxley agreement, pharmaceutical firms have made appropriate investments to affirm and ascertain privacy management, product recall requirements and marketing preferred solutions for both physicians, patients along with the spend management reporting solutions. Undoubtedly, all such regulatory issues share one common thing that is the utmost requirement for reliable and trust worthy control of master data or key business data associated with products, customers and locations. Having precise and accurate expertise related to user demographics for patients as well as physicians and their marketing preferences with the firm are no longer efficient and profiting tools for generating and yielding new business though needed for managing regulatory compliance and reporting, MDM pharma is a strategic and cardinal business driver enabling firms and companies to affiliate and aggregate the data about their users, products and firms fragmented and scattered across varied systems. By developing a centralized master data hub, firms can render the most candid and determined views of key business data available within their defined existing business procedures and most significantly browse such small and big data sets within operational business processes to remain in conformity adhered with simplified reporting and different privacy requirements.

Constituting a Regulatory and Authorized Framework – Along with the common data integration issues spanning across compliance management and the defined agreement, companies all over the world are choosing to invest time and effort in a technology platform capable to support their different and critical compliance initiatives now and in the long run it is must to address every regulatory mandate with an end to end solution. In all, nowadays it is must for organizations to consolidate and streamline data processes and secure reliable data in order to apparently fulfill state compliance mandates related to associate sales spend. And, MDM pharma is the new battle ground fighting not only against the diverse complex regulations as well as enabling firms to efficiently manage the entire data cycle of employees, physicians, product information and patients. In addition, master data management solutions builds a foundation for good compliance management system that efficiently lower down the cost of managing new regulations and create an ongoing and extraordinary competitive advantage.

Mastering Data Management in Pharmaceutical and Life Sciences

Oftentimes it has been stated that there are only two things that remains in and out with the system especially in healthcare domain that is data and patients. With the brief and sudden rise in the digitized resources in life sciences, healthcare and pharmaceutical domains, scientists and researchers all over the world find themselves at the focal point of both challenge as well as opportunity depicting to create the usable and beneficial information systems along with efficiently managing the flux and downpour of data. Recently while attending a SAS life sciences and health conference, the managing director John D. Halamka stated and shared his views about the role of IT in healthcare and life sciences verticals and how the databases are growing more and more beyond one such capacity to use them in a meaningful and relevant manner. Considering the fact that suppose there is no one else who can tackle the challenge, assume and conclude for a moment that we can and yes we will handle the data. It becomes out need of the hour and responsibility to take what is important and significant from that data and make it more purposeful and useful. That thing is called and well known as the ‘thinking data’ that is more accessible, coherent, useful, beneficial and for sure accurate and predictive.

At the prominence and cutting edge of that challenge, the critical issue lies in the data integration. Though there are many other strategies and approaches to consider and handle in a technical manner including data marts, data warehouses, federation etc. and the major focus shifted on contextualization and consolidation of the information.

A Brief about Master Data Management and Opportunities in it

Before we drill down more into the acumen of master data management as applied to life sciences, healthcare and pharmaceutical industry, let’s take a moment to think and talk about what exactly MDM is. Think of master data management as a way to manage reference data to get a clear and better idea and understand the context of our transactions. According to Ralph Kimball’s terminology, master data management solutions assist to consolidate and blend the facts with dimensions. Helping firms and enterprises by providing processes and procedures to collect, cleanse, summarize and augment the data efficiency and with sheer consistency, MDM provides apt governance and command in the ongoing maintenance and usage of data. Considering and thinking from the data perspective, the world of life sciences, health and pharmaceutical domain is frightening and alarming. With MDM pharma focused on research, drug discovery, manufacturing, operations, sales and marketing and more, there are many untold and indescribable examples of the same where firms have successfully and promisingly used data along with the technology to support decision making and preciseness. In healthcare industry, there is more complex situation in which payers, researchers, providers and patients having their advocates dealing in both public sector as well as government arena highlights the attributes and examples from health outcomes as well as clinical research of a wide range of users available for primary use of patent data.

MDM solutions is all about drafting a consistent and rational version of the truth, data and information that can be shared across the firms and organizations and used for both strategic usages as well as tactical or operational purposes. In healthcare, linking the data purposefully to patient care will undoubtedly help to perform analysis and determination and improvise patient safety and outcomes. In all, master data management solutions in pharmaceutical domain could be used for providing companies and organizations worldwide operational support and performance for conducting clinical trials more efficiently and effectively. And once you got a well defined plan, you can move further with a unifying plan for your data and could draft a roadmap for growth and success that will involve operational processes, data stewards and governance for effective implementation of master data management program.

The Need for Data Management and its Confidentiality

One of the most secretive, vital and confidential aspects of any business is data management. The sensitivity, character and nature related to the information make it a highly challenging and demanding job. Likely to data management, data resource management is the creation and implementation of policies, procedures, practices and architectures effectively managing and handling the full data cycle demands and requirements of an enterprise. Master data management covers a broader meaning and encompasses a wide number of opportunities that may not have any direct links and associations with lower level demeanors such as inter and intra relational database management. One of the most famous saying regarding data management is that it is the development, implementation and administration of programs, plans and policies that safeguard, control, boost and render the value of both – data and information assets. There are plenty of opportunities and jobs in data management field including posts could be related to data governance, record, document and content management, data analysis and design, data architecture, data quality management, database management, data security management, business intelligence management, data warehousing, reference data management, master data management, contact data management and Meta data management. In addition, there are few listed units too grouped and consolidated by data management framework.

In management and supervision process, one needs to distinguish and analyze the normal trend of the given data in the compound nomenclature within the knowledge and expression information while assisting in non technical and methodological concept. It not only exists in jobs but also has a strong presence in knowledge management and information management. By somehow, it could be the traditional form of data that is processed and managed overly from the second looks. Along with processing, the main part is left to keep up the extreme apt distinction in between data and derive values at the information scale. Data is always kept secretive so that all the employees whether working for information or data management always pursue the jobs in private channels. It is mandatory for them to maintain their jobs for a longer term and sustain them till their employer’s exit. The vital role of a data manager is to trust and keep a track of the desirable database that contains the data gathered from research and initial operation actions. Research initiatives could be different varying from an enterprise to another, may be in clinical, pharmaceutical, life sciences or health care domains. Though, they all require to be assured of about the basic magnitude and extensiveness including reliability, accuracy and precision of the data so that it can fulfill the values of the expected enterprises. Keen responsible for processing data and applications, data manager also takes care of a wide range of computer applications and database systems to hold up and clear out, compilation and analysis of the parent source and subjective data.

The rapid growth and development in the quantity of the data has raised the chances of risks associated to insufficient processing due to inaccuracy and low quality of the data. Financial creations and endowments need to find ways for the same to effectively distribute the relevant, accurate and valuable information all over the enterprise to their varied processes, members and applications at any time and whenever required. This scenario made a lot of firms put more emphasis on reference data management especially for its targeted and potential ones to transform raw data into valuable information. It is actually this valuable data that a firm needs to improvise its operations.

MDM pharma helps in understanding more the standard definitions of the data and can actually use it to minimize operational risks. Embodied with a data based object and a categorization scheme, each value should be quadrate in terms of analysis and interpretation. The data management is both crucial and vital in observing acquiescence with regulations that brings about better exposure to a given business as well as to market segment and firm. 

Understanding the Pharma & Healthcare Master Data Management Needs

These days, lots of healthcare and pharmaceutical companies face a wide variety of data management challenges, along with the opportunities required to lower down operational expenses and improvise efficiency and performance. On the business front, these are the few opportunities and issues. Just for an example – cross trial examinations could be done only and only if the variables use the same protocols across different domains, which is a rare case to discuss. The potential to arbitrate trials becomes tedious in the absence of an acceptable reconciliation layer linking similar kind of variables together in a well-defined and systematic way. The mere truth is that Upper Arm Blood Pressure and Arm Diastolic Blood Pressure are related but not very well-known. If the outcomes could be concluded by any how or compared with other trials at any level, firms and enterprises can save a huge amount of money like in dollars and on the other front can save expensive and duplicate trials. The technical challenges faced and must be addressed by effective and sound master data management solutions in healthcare and pharmaceutical companies are mentioned in below.

·         Automating and streamlining the acquisition, specification, analysis and integration of clinical data.

·         Rendering end to end support for clinical procedures, right from protocol planning to specifications to post product launch analysis.

·         Timely, precise and effective integration and deployment of master data management data in an organization with inconsistent systems, processes and procedures.

·         Ability to seamlessly blend data standards including metadata regulations into the enterprise SOA (Service Oriented Architecture) layer.

·         Creating and sustaining a state-of-art MDM architecture, which supports not only the future growth but also the landscape changes without essential changes, overhead and that all in a determined and persistent manner.

   

In a shell, considering all above mentioned requirements, an efficient and good master data management solution needs to address the following components to be used in different domains including life sciences, pharmaceutical and healthcare industries.

·         A standard form of Meta data layer that address the entire life cycle of a clinical program. Without the defined standard elements and components, there would be no central standard layer or point of reference to map to. This layer will support the standard deterioration of observations as required, as an integral part of the standard defined.

·         The metadata standard developed should be linked and associated to both, internal as well as external standards to make an immediate translation in between source and target links through defined standards. There should be availability of automated processes to find out linkages from both, internal and external metadata assets to the standards.

·         A standard data layer connected with external data domains including CDISC domains to be used internally by the enterprises that can be mapped or deployed within the solutions.

·         The apt SDTM and CDISC elements and their usage contexts developed into the core solution.

All of the above mentioned constituents and potentials are developed in a way to build the most scalable and robust implementing master data management solutions for pharmaceutical and healthcare verticals. There are many online service providers providing efficient and sound MDM solutions for Life sciences to assist companies worldwide to optimize and advance their existing technology to attain business results, efficiency and performance faster and quicker.