Paper on U.C.B.'s Healthcare Analytics Journey: Digitalization Challenges and Innovations

Published: 2023-12-20
Paper on U.C.B.'s Healthcare Analytics Journey: Digitalization Challenges and Innovations
Type of paper:  Essay
Categories:  Company Health and Social Care Technology
Pages: 7
Wordcount: 1723 words
15 min read

I seek to inform you of some of the new strategies our company will put in place ahead of the March 2016 Shanghai meeting. Having made commendable progress with data analytics, which had a major focus on neurology and immunology, I feel it is time we move to the next stage with analytics. The memo seeks to update the senior management team on the discussion on the company’s digitalization paying specific attention to key achievements of the program in the first five years, highly attractive opportunities for U.C.B. to use data and analytics to create values and decision agenda and proposals to be discussed at the meeting.

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Over the past five years, the program has had a major achievement of transforming the information technology culture from one of I.T. distributors to an I.T. business. The pharmaceutical industry is now able to use real data to create patient worth. The rise in profitability and population stresses on the medical management systems caused the medical care providers to refine their execution. The medical department was being viewed as fully grown for alteration, and the modern apparatus was set for that change. The new contenders, including Apple Inc., Google, Samsung Electronics, and international business machines were operating in the medical sector.

By 2015, the majority of sick people had stopped relying on doctors' advice and were now searching for health issues on the web. The web provided him with a wide range of health information, which made the patients feel empowered. The government, driven by financial constraints, began to pressure pharmaceutical industries to reduce costs in any case they wanted to keep market ingress and high cost.

Organizations had to reveal the usefulness of their medicine with factual data and not only data from managed attempts. Analysts asserted that using factual data would make it possible for organizations to tackle major medical care challenges, such as adherence and long-term disease management. Real-world data also enabled companies to make quite a huge amount of money. Modern technologies and data made it possible for providers to not only sell drugs but also take a comprehensive point of view on the health of the patient.

The patient’s information had to comply with the universal restrictions protecting sick persons. Pharmaceutical companies like U.C.B. Therefore had to have permission from legislative organs to grasp the huge amount of information they would be examining, putting together from several sources. U.C.B. Focused on coming up with innovative drugs and remedies for persons having serious diseases of the immune system like osteoporosis or the central nervous system for example epilepsy. In 2015, the organization with Jean-Christophe as the C.E.O., introduced its patient plan of action.

This change brought about a rudimentary shift from receiving payment for the volume of care it delivered to receiving payment for patient value. The new corporate strategy made U.C.B. aspire for overtime patient worth outcomes to combine patients' intuitions throughout the operating model. Growing now revolved around four patient value units, which involved: the nervous system, immune system, bone disorders, and new treatments constituting various patient demographics.

Revolutions resulting in a variety of drugs that secured later sustainability continued to be at the heart of U.C.B., and by realizing it could not become patient preferred biopharmaceutical leader by acting alone, it reinforced the existing ties with higher institutions of learning such as Harvard and collaborated with companies such as Great Lake Neurotechnologies as well as other companies to deliver quality services.

Realization statistics could transform the medical sector came as a greatly attractive opportunity for U.C.B. to use statistics to create values. This realization came after Watson, and I started to survey how to brace clinical decisions in taking care of sick persons with a seizure disorder. This disease affected a huge population. U.C.B., combined with I.B.M., came up with the first model that converted large amounts of seizure disorder sick person data and scientific literature into perceptions that medical care providers would seek information at the point of care to acquaint themselves with other treatment conclusions.

I then came up with a program titled The Future of I.T., which would clarify the role of I.T. at U.C.B. henceforth. This was to prepare the organization for the ‘new digital normal’. The future of I.T. principles now includes the following principles:

  • ‘We promise equity’- I.T. needed to progress by emphasizing the need for standards as demand and cost pressure increased.
  • ‘Everyone is an expert’-each worker as to be a technology expert in all fields.
  • ‘Teamwork is emphasized’-a concrete foundation of working together enables specialists to put together their best expertise to deliver quality services.
  • ‘Timely innovation’- innovation is vigorous and throughout.
  • ‘We speak of worth of I.T. '-. I.T. markets its value, not technology resources.

With the principles already highlighted, I began to build an advanced analytics capability. It started small, but ambition ran high. At U.C.B., vast data was accessible inside the whole worth chain. All organizations fabricated statistics and some like medicinal attempts, and prove-based drugs, made use of the statistics to control their processes thoroughly. Statistics was exploited for reminiscence as it was managed in specific contexts for particular purposes. The upheaval applied advanced analytics methods to make statistics obtainable for secondary use.

Secondary use included surveying the perspective of the statistics for worth change beyond the original context. The convenience of medical-related data from other springs outside the organization, for example, data from lab results eased the task for U.C.B. This is because U.C.B. leadership came to the realization worth innovation would be sourced from the vast wealth of outside data. Large statistics were necessary for a sick person who majored approach medical care. For this purpose, U.C.B. required suitable methods to mix and tie internal and external statistics and to join hands with external parties to exploit data in new ways.

For the Acais vision to work, it had to transcend the I.T. function and challenge conventional ideas about what U.C.B. could and should do in patients', employees, and shareholders' interests. It was essential to establish a framework and culture that would motivate innovation with analytics. Arnaud Lieutenant, I.T. director, explained that we would ensure everybody would comprehend that instead of up a 'large warehouse' we would which would be time-consuming, we would be opportunists and brainstorm any available worth opportunity and collect data adequately to examine using analytic skills.

Initiating a culture of innovating with analytical skills was a real ambition. Lieutenant believed that exploring culture enabled people to acquaint themselves with the use of statistical information on time and often. This meant that AaaS would market the usefulness of the framework as it was building it. By using his consulting skills, he was able to approach departments throughout the organization to get possible quick analytics wins. It turned out that opportunities were everywhere; for example, R$D would use the analytical formation to choose the best bags and minimize downstream setbacks.

Commercial units would use it to maximize the field force and to make analytical propelled adhesion while performances would use the statistics to reduce directory and react to unexpected occurrences.

The lieutenant made a list of 50 potential projects with the aim of quickly showing people the importance of analytics in making them open-minded to the thought of making use of new statistical information as a new method of experimentation of data in looking at challenges. He evaluated this mooring on several criteria for example, the availability of someone or an organization to sponsor the program, type of statistical information and analysis methods, how mature the group was, range, and the equilibrium between the possible profit and attention necessary for a good output. Sprints are limited to 30 days and 50 person-days of work would be used to drive interest. The process started with clarification by a customer on the purpose of undertaking the project.

In June 2013, the lieutenant got a budget of 500,000 euros for the initial set of analytical sprints targeted to be completed by the end of the year. The money was used to contract a field to bring in leaders in thought and data scientists. The contract with the consultancy was extended twice, and 15 showcase analytics were completed by the end of 2014.

In September 2014, the lieutenant felt a sense of accomplishment as the sprints captured the whole organization's interest and those in the administration. The need to go out was no longer there as people started coming to us with their ideas. As slide shows were all we had come up with, there was a need for more proof of the real impact so people in pharma could implement the changes required for exploiting the value demonstrated through these showcases. As a result, sprints now were expanded inclusive of the value runs.

The first sprint illustrated the project's possible outcome, and then an A/B test was conducted to show that the recent resolution was better than the previous one; in conclusion, we had perceptions inserted into the work process.

The use of consultants gave quick results though it did not help employees internalize the learnings. With the external person conducting the data analysis, the sprints failed to instill the required amount of trust in the process's potential promoters. To grow closer to the business and engage in deeper co-learning, a lieutenant was granted five new staff members with strong data science profiles. Project staffing was also reconsidered, and data scientists could not undertake projects from the first models to fix and develop the end product. Domain experts and lawful compliance employees had to take part to complete putting innovations into work from the beginning.

The decision plan is to develop a way for the administration team would attain the next level of Impact with analytical information. The proposals that will be discussed include the appropriate equilibrium linking delegation and authority, how U.C.B. drive can expedient issuance, where the analytical liabilities and capacities would occupy in the company, and the crucial contrasts linking the circumstances of the present and that of the advanced level.

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