The common bottlenecks which might slow down your business growth
The dwindling number of pharmacists has given rise to a need for automated AI Pharma technologies that promise to reduce the work burden.
As healthcare grows to be more affordable, the rise in demand for prescriptions is laying added pressure on the pharmaceutical industry.
The affordable healthcare act has caused a further load on the pharmaceutical business due to increased accessibility and higher patient demands.
An increase in the operating costs of the healthcare industry has resulted in errors and lapses causing a severe drain on the industry.
Pharmacists are struggling with lower reimbursement rates and policies that are affecting overall revenue and profits.
Patient satisfaction levels are at an all-time high due to the increasing standards of patient engagement.
Leveraging AI pharmaceuticals technology to enable automation toward lower operating costs and higher levels of safety and accuracy
AI pharmacy solutions includes an automated dispensing technology that uses automation features to understand prescriptions and dispense medications, with minimal involvement from a pharmacist. This allows pharmacists to serve a higher number of patients and enhance satisfaction levels. The pharmacists can, furthermore, offer patients more time and address the wrongly perceived notion that pharmacy is a purely transaction-based business.
Adopting AI pharmacy solutions that can considerably increase operational efficiency further allows pharmacists to provide enhanced accessibility and affordability through holistic caregiving agencies that are not limited to purely dispensing medications, but can offer health advice, medication recommendations, immunizations, screenings, disease management, etc. All these services can be incorporated into the pharmacy operations through automation technologies.
AI for pharma further extends itself toward creating intelligent health-related trackers that can be worn by patients, wherein the pharmacist can receive real-time updates on the health of the patient, through data capturing. This will allow pharmacies to follow-up with at-risk patients and provide preventive care. The patient’s health can be monitored and recommendations for a change in dosage can also be accurately made.
The predictive analysis technology can make great strides in increasing the overall efficiency of the pharmaceutical industry. Pharmacists are prone to errors due to the large volume of data related to prescriptions. Inaccurate dispensation of medication is an outcome of overloaded pharmacists but can have serious outcomes. Our breakthrough technology embeds AI for pharma to replicate the functions of the human brain to recognize prescriptions with higher than human level accuracy.
Through the use of comprehensive research applications, our intelligent algorithms are embedded with the ability to identify and analyze prescriptions with little or no help of the pharmacist. The accuracy and efficiency levels are superior to human capability. Computer-aided dispensation has never been easier through the infusion of AI in pharma.
AI in pharma is increasing its potentialities through involvement in decisions related to drug dosages, adaptabilities, dispensation, etc. Treatments for conditions can be intelligently analyzed through automated tracking and valuable insights can be derived, in relation to side effects and other dangers. Additionally, the intelligent analysis technology allows pharmacists to partake in studies and accurately predict where outbreaks are likely to occur, based on historical data mining.
Machine learning can play a vital role in gathering critical patient and subject information in real-time and react proactively to prevent adverse events before they occur. Data from IoT sensors can be transmitted in real time to a mobile device which can then apply machine learning to detect unusual changes or anomalies in vital signs and sensor measurements.
AI-driven Pharma software solutions can automate the transformation of diverse streams of biomedical and healthcare data such as EMR data, advanced sequencing, and more into computer models that are characteristic of individual patients. AI in Pharma solution can take care of data mining, hypothesis generation, lead compound identification, and optimization, etc.
It is possible to identify the selected targets across undisclosed therapeutic area using a rapid ‘design-make-test’ cycle. AI in pharma software solution can help to design new molecules employing phenotypic and high content screening data, and assess their potency for better drug discovery.
A multitarget drug discovery method is a promising way to make more efficient medicines. An AI-driven platform can advisedly design bispecific small molecules that can address multiple targets through a single drug to discover multi-targeting small molecules.
At OSP Labs, we offer a cloud-based platform that analyzes collaborations of medications with its efficacies through data mining and research to discover new drug compositions, indications and targets. This technology uses volumes of data, lab reports from patients and available medical research, conducts an intelligent analysis and offers sustainable suggestions. The sheer volume of data that is being mined is an impossible task for a pharmacist to physically take on in a lifetime. Patten identification is another key advantage of leveraging this AI-based pharma software.
Our AI-based pharma solution deploys machine learning to automate many areas of pharmaceutical processes, including drug trials and interventions. The AI models are geared to provide meaningful predictions of patient responses to certain drugs and the factors involved in the results of the dispensed drug. This includes patient metabolism, demographics, and outside factors. We undertake the
Pharmaceutical processes are automated through our AI-based pharma solution that is trained to read prescriptions and dispense medications without the physical involvement of a pharmacist. It can also gather relevant data and record it for data mining and other research-related uses of the company. This is done through the use of neural network technology and intelligent learning algorithms to create structures and patterns for automated results.
We follow every government's regulatory mandate and create solutions that adhere to strict protocols.
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