Data Science, Medicine; Tactics vs. Strategy

Adam Tabriz

Software Technology revolution and change in Strategy
Photo by JESHOOTS.COM on Unsplash

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 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, the monopoly is just a matter of convenience for those who have the upper hand. 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, particularly 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 medical community's attitude 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. By no means are they to be studied by a non-medical person, nevertheless an entity.

The health-tech industry can 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 support decisions already made falsely.

Tactic and strategy need 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 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

Decentralizing 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 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 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. 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.

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