Data Science, Medicine; Tactics vs. Strategy

The commencement of unclaimed domain

Originally published by Data Driven Investor on Medium

Photo by Sarah Pflug from Burst

Today Data science is more about business enterprise strategy than a tactical service plan. It is merely designed to serve logistics of fiscal profit within an industry. I clearly recall when in 2011 Forbes said, “every company is a software company”. As of 2019 that nonetheless stands recognized. Software Applications have become critically crucial to enterprises. Monitoring performances have shifted from tactical resolution to the fulfillment of strategic needs. Today, a great application program execution is equated to a great client experience. Nevertheless, if we don’t honor users by ensuring their maximum accomplishment, the client experience will have no choice but to suffer.

This is applicable across the board for every industry. Today, Research reports are on datasets that are perpetually changing, thus affecting their analytical derivatives. The end result is we no longer see data as yielding answers, but as an overly plausible way to swaddle around the retort, corporates are searching for.

The uninterrupted development of the programs and other operating systems used by computer software has led to the nascence of a variety of solutions such as software as a service (SaaS) and has historically served an important purpose in the conception of business models which have been able to persuade strategic reform pointing to commercialization of health information, hence showing prodigious neglect to the application of its tactical implication.

Gazing backward at the history

Looking in history, major innovations like dot com and Microsoft Windows were solutions intended to function as a comprehensive answer to an immediate problem for a shorter period at a much smaller order of magnitude than what we realize today. Such tactical solutions required limited ordinance and covered a smaller but precise scope of utility. Introduction of Windows User Interface (UI) and modernization of User Experience (UX) introduced by Microsoft in the early 90,s unleashed the software technology potential to the layperson. This truly marked the beginning of the market adoption of a tool that made industries immensely efficient and extremely competitive.

The nascence of Cyberspace was the footstep towards resolving the boundaries of information dispersion and accession to free data. User Interface, dot com, and access to the World Wide Web (WWW) created a perfect niche for SAAS systems to develop. The technological revolution gave a new competitive edge for the millennial. Thus, to ameliorate accessibility and create cyber traffic for businesses search engines were borne which created more incentives to the businesses to explore cyber presence as “online stores”.

The paradigm of Social media was relatively successful to make virtual communities and networks through interests, traits, and lifestyles which in turn served as an excellent instrument for strategic market analysis and penetration.

Mobile innovations like smartphones revolutionized the logistics of the portability, access, exchange, and utility of information technology. In order for data to be shared across the Internet a set of functions and procedures were designed for applications that could easily access the features or data of an operating system, application, or other services. Over time, as corporate centralized data silos (Big data) were grown into gigantic magnitudes, the concept of Artificial intelligence, machine learning, and evolution of computer systems was introduced to the market to execute tasks that commonly required human intelligence like visual perception, speech recognition, decision-making, and translation between languages.

It is imperative to Recognize that every purpose of information technology from basic software to social media and SAAS systems to machine learning are all fueled and propagated by the big data industry. Therefore, Data mining was turned into trillions of dollars market dominated by giant corporations.

Over time, The advances in software technology including limited interoperability, the disparity of user experience for the layperson as well as complex and non-transparent nature of the internal application system (also referred to as backend function), typically responsible for storing and manipulating data has resulted in data monopoly. Holders of the central big data banks are the ones holding the upper hands not just financially but also politically and socially.

Software technology revolution and change in strategy

Parallel to the advancement of software technology, in particular, the big data at the tantrum of the fiercely competitive market, tactical solutions were step by step overturned and replaced by overemphasized business strategies exclusively focusing on the long-term financial success of its organization.

The hidden survival mission of entities started to encompass a much broader scope targeting means to distinguish long-term interests and aiming towards the means of achieving them. The Strategical revolutions were led by careful design and planning to serve as a particular collective function or vintage. Even though both the tactical and strategic utility of data analytics each serve an unequal purpose, however, there is well-defined importance to distinguish their utility within the healthcare space.

Data science, business strategy, and patient care asynchronous forte for conflict of interest Medicine is a science of variance. The conditions, criteria’s and determinants of the individual’s health are invariably changing. Consequently, one can simply reckon magnitudes and nature of the influence of extracting, utilizing information and statistics to stand preordained decisions. I must utter, yes, it is happening as we speak! Indeed, pertinent to our wellness should we worry about how we realize a conclusion? Now, let’s take it one step farther! Should one confide in an algorithmic program non-transparent to accomplish our diagnostic workup? Or the data analyzed by corporate data strategists whose Chief executives in the board of directors plainly believe in “Does it matter if our spreadsheet is not accurate, as long as it gives us the answer we are looking for?”

Strategic shortcut to dominate Competitive market

In a highly competitive market, for those who have the upper hand, the monopoly is just a matter of convenience. After all in the corporate world money is everything, right?! Today, every industry has become a software technology company of its own domain; from the financial sphere to real estate to a dating app. Healthcare inevitably has become part of this reform, but with one major difference. Healthcare, and to be more precise the physician community has had the most sluggish transition towards adapting their technology domain. Partly due to the counterfeit outcome of an implemented strategic approach by corporations and the administration that led to significant distrust among physicians but mainly due to their reluctance to take control of the strategic leadership of the healthcare domain.

This attitude of the medical community has created a vacuum causing displacement of the corporate business strategy into the physician practice space. Although interrelated, the Business of data and its science counterpart are two different phenomena and By no means are they to be studied by a non-medical person, nevertheless an entity.

The health-tech industry has the potential to make the practice of medicine to a greater extent predictive, preventative, precise, personal through well-defined, sustained coaction of physicians and healthcare providers to distinctly define the boundaries of business of medicine and the medical practice. This will promote a healthcare data science devoid of biased claims and validations that would otherwise have the propensity to be tailored to falsely support decisions already made.

Tactic and strategy needs to be defined and balanced

Balancing strategy and tactics in healthcare and harnessing them one by one for every patient case is necessary to avoid pitfalls and takeover of unethical cookie-cutter corporate medicine. Delivering personalized care requires meticulous long-term and ongoing strategic planning that paves the Hippocratic trail while undergoing constant tactical updates ensuring every patient receives the most up-to-date customized medical attention. The concept of big data, its strategic and monetary value is irresistible to giant corporations, as it arms them against other competitors. But patient lives are at stake.

Avoiding the bad strategy, promoting productiveness

Decentralization of health information or in the least lawful possession of the data by any individuals is necessary to achieve and maintain sensible security. Giving back to the patients what they are lawfully entitled to will determine how their valuable information is being used and ensure its utility towards their wellbeing, instead of against them by the substance of business monopoly.

Abuse of patient data particularly in the instance of health information has been the product of disparity between the purpose of Health Insurance Portability and Accountability Act (HIPAA) regulation and what truthful health information privacy is meant to exist.

Regrettably, there has been a great misconception on how encryption and HIPAA may protect patient data. They may partially serve to prohibit cyber theft by the “4th party” but by no means refers to as “if your personal identity is sealed, the 3rd party can share your information with another party without your consent, or One may assume as long as big data industry does not directly associate one’s identifying information with his health information then there is no place for concern.

What if the big data industry designs a machine learning algorithmic program by strategizing it to identify and connect the individual’s extracted health data, with common denominators like IP address, physical address using Global positioning system and social criteria using social media?

With the advances in artificial intelligence technology and big data, it would be naive to think otherwise.

The Freedom of data and access to the ocean of unfiltered information was the original concept behind the internet but that is currently changing as well. Politics, monopoly, and corporate greed are changing the information technology landscape and how we will access information in the years to come. In other words, selected information will be free to selected users with the selected corporate criteria.

De-corporatization of data especially health information through decentralization, individual possession, algorithm transparency, technology validation by respective domain owners within the healthcare is vital to preserving the sovereignty of our healthcare system. Personalization of the healthcare delivery model is the ultimate solution to ensure patient safety, quality medical care, and healthcare without Borders.

#Healthcare #TechnologyNews #BigData #DataAnalytics #Medicine

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