We will use a very precise method of approach to address the problematic ethical issues described above. We understand the support that artificial intelligence can accord to the health sector. For that reason, our investigation does not in any way suggest that the health sector should operate without the software and special algorithms. However, the dignity of humanity must be upheld. Technological inventions, for that matter, should not dismiss the human input in the line of duty.
We look forward to the best services in medical care. Our strategic framework intends to adopt the very best software and better service of patients all over the world. Thus, the approach with being sensitive against biases in algorithm designs, management of patients’ records in health, and the nature of decision making by either the machine learning or the health practitioners.
Guaranteed support for the clinicians’ code of ethics
Even as we aspire to integrate the best software in medical fields, we must not forget about the patients and the clinical officers’ relationship. As pointed out by many research analysts, ethics mastery is a key ingredient of service delivery in hospitals. Considering human intelligence in the human field, some people may wonder how ethics come in. It is important to note that health records documentation revolves many departments in a health organization, including the administrative department for financial purposes, laboratories for research, and health providers for decisions. To ensure the intended advantages are realized, our proposal discourages against confrontation of the health personnel. Patients visit different sections of a hospital, for instance. Avery section requires particular information so that the patient is served. At some point, the patient’s information is transferred using links. Operators of medical algorithms do not consult the patients’ permission. Such actions directly jeopardize the code of ethics relating the patients’ privacy. We all know the effects of electronic transfer of data. Insecurity comes in where private data is copied and revealed to people who should not even have access. We propose a model where the sharing of links will be minimized. Policymakers should consider government legislation to safeguard the patients’ data. Access of the medical data by the patient will be limited to tto intended purpose. What would happen if the patients have full rights to access every detail of their medical records using their electronic devices. There is a risk of individuals with ill motives of pirating private information. Under that circumstance, we suggest controlled access of health record accounts. It will be desirable that antoonest IT expert to operate medical softwares where patients can access their details without lengthy procedures. Patients’ privacy is crucial in health sector. A breach in security is very dangerous to the confidential information of a patient. We therefore question the authenticity of a software in hospitals. We understand that even within organizations, there may be individuals with the ill-will of exposing private information to the public. Our approach suggests the use of encrypted form of coding to reinforce the security of information. Only the authorized personnel will have access of the data.
Offer education to practitioners and technicians
A software requires specialist to design and install. In our case, we are calling for perfect integration of databases in the software without leaking any information. Even the most efficient artificial intelligence uses the coded data to make decisions. We understand that there are some pieces of information that cannot be left in the hands of individuals outside the organization. We therefore find it wiser that institutions top has their own experts who will be servicing the software. A programmer for instance cannot work alone. To code the diagnosis of diseases, a close collaboration must exist between a doctor and a programmer. In will be even more efficient where clinician can design algorithms. That way, the machine learning will be executed without necessarily hiring programmers who don’t even understand the code of ethics in the medical field. It will also be very important to enlighten the general public on basic skills of safeguarding their private information. Some medical softwares already exist whereby an organization can purchase and adopt immediately. However, compatibility may not be guaranteed. we propose organizations develop universal softwares and machine learning where the current thoughts of medical practitioners are incorporated.
Creation of environment that provides the clinicians with chances to constantly contribute for the general welfare of the medical field
We cannot leave the medical field to be controlled by the artificial intelligence. In way, people might think that the algorithms will serve better that the clinicians. That is absolutely subject to debate. But it is important to consider that the artificial intelligence is limited to the information it is fed with. We say that experience is what you do with what happens to you. Can a machine really gain experience in a particular field? Scientists are still working on that. But a normal human being is programmed to advance their knowledge based on the exposure and practice. As we adopt the algorithms, we must remember that we still require the clinicians to keep on improving the software and add updates on particulars of the advancements and experiences. We look forward to a situation where the medical practitioners will be backed up by the artificial intelligence to improve on their efficacy of service delivery. Therefore, our vision in the incorporation of the artificial intelligence is to support the clinicians and not to replace them completely.
Bringing different disciplines in the medical field together
Ranging from the patients’ portfolio to service provision, the technology behind computer science is something that we cannot evade. We focus at a perfect connection of the databases without posing risk to the confidentiality of health records. In a health organization, all the subsections add up to one unit. From reception, enquiries, finance among other sections, we need perfect functioning of a software. Therefore, a software should be developed in a way that is compatible with all the sections.