Healthcare Industry Insights & Analytics | StatsWork

Healthcare

Build better healthcare business with AI and analytical solutions

At Statswork Research & Analytics Consulting, our research team is fully immersed in the medical and healthcare industries, we as a company provide analysis and solutions to build a better model and framework to improve your company to reach better heights.

How We Help Clients

Healthcare industry Competitive Research

Industry & Market Research 

  • We analyse the healthcare market, companies, organizations in terms of their product, services, place, market structure, suppliers and brands, distribution, promotion and other strategies through company data such as annual reports or through their websites, trade and industry bodies, directories.  
  • We use internal data within organizations, libraries (journals, newspaper, directories, clippings, reports, government statistics, EU statistics, industry statistics, atlases, dictionaries, books on produces and processes), trade associations, government departments, exhibitions, online databases, blogs, forums, and social media to collect relevant company and industry data.  
  • Desk research highlights gaps in knowledge, and it is extremely valuable in the initial phase of research 

Thought Leadership Intelligence Services

Development of thought leadership work 

Explore healthcare industry research needs in the area of online traffic communities, application of information technology in tourism, big data and analytics, digitalization, and many more when needed utilizing a number of sources and advanced secondary research techniques (desk research, interviews of SMEs, surveys).  

Conduct in-depth research on geographic and/or horizontal segment trends, competitors, industry market trends and issues, and relevant technology. 

Our expertise has an understanding of quantitative and qualitative research skills, with the ability to synthesize findings from case studies, analysis of survey data, regression analysis, expert interviews etc. 

Our analyst team write reports, points of view, articles in journals blogs, develop insightful case studies, design questionnaire, analyse data, runs regressions and time series analysis.  

Research Design & Survey Services

Reliable, Validated Questionnaires 

Based on the given source of data, we help you to design a business research question and develop appropriate hypotheses. Along with it, we develop a step-by-step rigorous methodological framework for processing and analysing large data. 

 

We develop standardized questionnaires, interview guides, instruction manuals, and survey tools required for hospitality research. We also design survey programming, host, collect data and manage the survey environment.  

Developing healthcare product

We at statswork build pipelines and frameworks for building products regarding healthcare and medical projects. We study the requirement of the client and form a strategy to develop the product with the data we have and for the given timeline. As healthcare has been leading analytics product or software developers, we research new technologies and use state of the art models to build our product on.

Analysing data From Medical healthcare industries

Healthcare and medical industries such as hospitals and pharmaceuticals receive a large amount of data in daily basis, which we can use them to optimize, strategize and re-implement processes to make business profit. The analysis obtained from the data of medical industries can allow doctors to spend less time trying to understand the data and just can view the result of the analysis which saves a lot of time.

Data Collection and Data Annotation

We, here at statswork collect data from all the resources from medical hospitals. Data can be of the form of medical reports, histology reports of a patient, CT scans, MRI scans, 3D  scans, Pressure monitoring data(numerical) and image data. These data are then passed on to a data annotator who categorizes the documents and labels them for building artificial intelligence model.

AI modelling

Artificial intelligence has been increasing the lives of people by performing important tasks like making clinical decision support and to analyse the risk of the patient before even doctors know about them. We here at statswork collect data and requirements of the client and build machine learning and deep learning models which helps the healthcare business. Model Built are user friendly and interpretable as the healthcare results should be interpretable to the doctors and not a black box as it depends on life matter.

Support in designing Qualitative & Quantitative Research Methodologies

Research design planning will be conducted, usability testing and evaluation based research will be done on end-users needs and functional requirements. Quantitative research design methodology for validating prototypes (proposed design) in simulation settings or real-life environment to create the final device. Qualitative research design planning for medical device design studies and techniques – to look at varied aspects of design like comfort, perception, behaviour, information communication.

Feature Capabilities
Automating-healthcare-and-medical-process
Streamlining-Research-and-development-process

Automating healthcare and medical process

There are many fields in which automation can help in healthcare and medical processes, we at statswork have performed automation in insurance authorization when paying bills, automatic billing and money transfer, automatic inventory management and doctors scheduling(we schedule different doctors to the specific patients and optimize the waiting time of patients), these are some of the automation process we have conducted in healthcare and medical industries.

Streamlining Research and development process

Research and development in the healthcare and medical industries take a long time to get a trial and produce the drug or any kind of result. We at statswork acquire your objectives and start by creating an end to end framework in which the research is going to be conducted on. Then we strategize the models and analytical procedures which needed to be done in an efficient way. Optimizing the workflow is an important part of the framework which gives us more time and less effort to complete the research.

Example of Our Work

Health monitoring system for Elderly people

We here at statswork we have built an artificial intelligence model which monitors the elderly who have worse medical conditions. We have incorporated the computer vision algorithms to monitor their actions and sensors to acquire their important information’s like blood pressure levels, which goes into the machine learning model and predicts whether the patient is safe or not. We have also created a fall detection module which detects if the person has fallen and not got up, if so the models inform the authority who takes care of them.

Extracting important data from Electronic medical and health records

Managing and understanding the reports are the difficult task in the hospital, we  connect with the client and acquire their data and then using that data we built a sophisticated model which recognises important characteristics and words in the reports and present them in an easy manner in a dashboard. Those important words are patient name, doctor name, procedure done, patients histology, patients specification, patient tests taken, patients diagnosis, patients disease strength, medicine taken, days in hospital, amount of money paid etc.

Symptom detector – Chatbot

This is an artificial intelligence based model which basically gets inputs from the user (which can be by typing and voice input) and displays the patients symptom and diagnosis for those symptoms. We then connect them to the local doctors near their area. This model has inbuilt chatbot in it, which gives the above results for the asked query about their health concerns.

Predicting Risk of patients surviving who are suffering from Glioblastoma

Patients suffering from glioblastoma (Type of brain tumour) are at risk of death and to predict the risk of death we have devised several models to predict whether the patient might survive or not. If, the patient doesn’t survive how many days does he have and whether to perform further operations on them or not. Here we have used various deep learning models on 3D MRI data and used machine learning algorithms on patient histology data, medical data and gene data.

Detect and segment Covid-19 lung infection using CT scans

We have built an automated system which detects whether the patient Suffers from covid-19 or not using CT scans. Algorithms used to build the models are state of the art research work to Achieve better accuracy. After detecting a patient has covid we then move on to find the mass in lung which shows the patient has covid, using that segmented mass then the doctor can give suggestions on the patient situation.

How We Help in Your Region

To attend the diverse needs of the global clients, dedicated pool of resources, managed by Customer and local offshore project and account manager, research and support team.

To attend the diverse needs of the global clients, dedicated pool of resources, managed by Customer and local offshore project and account manager, research and support team.

To attend the diverse needs of the global clients, dedicated pool of resources, managed by Customer and local offshore project and account manager, research and support team.

To attend the diverse needs of the global clients, dedicated pool of resources, managed by Customer and local offshore project and account manager, research and support team.

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