Role of e-clinical Trials in Healthcare

  1. THE RISE OF ECLINICAL TRIALS IN HEALTH CARE
The global e-Clinical solutions market is consisting of various segments that include clinical data management systems (CDMS), electronic data capture (EDC), clinical trial management systems (CTMS), electronic clinical outcome assessment, and safety solutions. eClinical trial solutions denote electronic applications which are implemented in clinical research and most popularly used in the biopharmaceutical industry. e-Clinical is also used to mention technology applications leveraged in ePRO, IVR systems, and EDC. Furthermore, eClinical applications also have web-based applications that bear in collecting the data live from clinical trials for quick and effective enforcement and are also server-based applications.

The ultimate goal behind eClinical technologies is to understand its impacting factors like high costs for drug development, increasing competition, and harsh regulatory environment. There is also approving grants to conduct clinical trials and increasing research and development costs by pharma-biotech companies with higher IT budgets for advancement in drugs. Therefore, pharmaceutical companies are faced with pain points to organize clinical trials resulting in eClinical trial getting integrated. eClinical trial solutions help to minimize human errors, and with the fast urbanization of clinical trials as well as numerous advantages with its implementation, there is advantageous market growth.

eClinical trial solution market is divided into on-demand, cloud-based or SaaS, and on-premise, based on the method of delivery. The trial phase solution is also having different categories of pharmaceutical and biopharmaceutical companies, contract research companies, and medical device manufacturers along with health care and academic research centers.

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eClinical trial solutions are spread across various continents like North America, Europe, Asia-pacific, Africa, and the middle east. There is also an escalation in government funding to make use of clinical support and less inflexible norms when compared with developed countries will certainly prove to be a boost to the market.

2. AI TO HELP PATIENTS IN FINDING A CLINICAL TRIAL

Many questions can quickly get perplexing and overwhelming during the time of cancer treatment. One of many questions: is there any clinical trial, which I should consider for my treatment? Doctor and patients together have to figure out, whether their experimental treatment is the right fit.
The Opportunity Project (TOP) takes the initiative consisting of a 14-week development sprint that began last fall. 

The software engineers have provided with a broad platform of open federal data. Later, they have applied some emerging technologies such as cloud computing and artificial intelligence resources to start their analysis. The effort includes more than a dozen technology providers and nonprofits. Entire things have led by Presidential Innovation Fellows and US Health and Human Services Office of the Chief Technology Officer.

Kristen Honey and Gil Alterovitz were two among the Presidential Innovation Fellows who lead the program and work across US agencies to discover government data that would be valuable during the time of initiation. The primary goal was to show the reason for sharing appropriate data with private sectors because it could drive new insights and tools.

To understand the issues around clinical trials and patient matching, the team of developers has spent their valuable time with patients (who undergo cancer treatment) and government AI specialists. Later, the team has developed a new methodology to help patients in finding a clinical trial.
The first part of the methodology is chatbot. It lets the patients understand their health condition by raising questions about their treatment. Since most folks won’t be familiar with the detailed information required to assess their clinical trial, the patient has provided permission to gather more medical information. The clinician will enter that data into the application. The app uses the information to discover trials for which the person is eligible for. Finally, patients can see the information on the screen as an interactive map.

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It is clear, 14-weeks are not much time to analyze the data and build a complex matching service, so the team moved fast. But, by applying the right technology, the sprint provides a good model for making quick progress

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