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Drawing on our extensive population health management expertise and advanced data analytics skills, we offer a comprehensive range of services that can be individualised to suit your needs. We leverage intelligent technologies like machine learning, natural language processing and computer vision to derive full value from your data.
Our services range from consulting, problem definition and idea generation to exploratory research and analysis, the development of tools and technologies for integration into real-world settings, and monitoring and evaluation of the solutions we’ve delivered.
Consulting
Consulting on strategic direction, problem identification, idea generation and solution design.
Research and Analytics
We perform ad hoc or routine exploratory analyses of any data you may have, including structured and unstructured data, such as free text and images. We also research topics of interest to your organisation.
Keen to explore how your data could inform decision-making and support your organisation’s objectives? We offer an initial 1-hour consultation and a high-level assessment of a sample of your data for a fixed fee of R5000.00 (excl VAT), allowing you to evaluate the viability of further research and analytics.
Tools and Technologies
We develop custom tools and health technologies that enable you to leverage data to solve problems, plan forward and meet other goals. We incorporate the most appropriate data science approaches and harness both new and existing data sources efficiently, so that you have access to the information and insights required, when and where needed. Our solutions can be easily integrated into your environment or clinical setting.
We specialise in
We use machine learning methods appropriate to your data and the particular issue you would like to address. Using this sub-set of artificial intelligence, we can analyse large volumes of data efficiently; and help you to find answers to the following types of questions, among others:
- How do we find specific cases in our data?
- How do we find anomalies, unusual behaviour or events?
- How do we predict future events, costs, utilisation or other outcomes of interest?
- How can we use insights gained by our machine learning models to identify specific recommended future courses of action?
- How can we measure the outcome or impact of what we have implemented?
Reports and dashboards are designed with the end user in mind and the specific decision-making support required. We have experience in tracking important indicators and measures identified for success, in consultation with our clients.
We use state-of-the-art machine learning techniques to build bespoke predictive models that assess the burden of disease across a population and segment that population according to the risk of poor health outcomes. This facilitates equitable resource planning based on healthcare needs identified, as well as the prioritisation of care and tailoring of interventions through the identification of groups of individuals that may be at risk of particular health events.
We specialise in interpretable and explainable models that allow users to understand predictions – and act on them.
We engineer case-mix and risk adjustment models that can be used to enable fair comparisons regarding the quality and cost of care offered by various healthcare providers. These models account for the level and severity of disease (case-mix) of the population treated.
Our models take an overall patient view of their specific pattern of morbidity over time, rather than focusing on individual disease outcomes or events in assessing clinical and financial risk.
We develop software and analytical tools with natural language processing capabilities. These enable you to unlock the full value of your unstructured and free-form text data.
We build intelligent medical image classification and segmentation models to detect the probability of clinical abnormalities. These can be used for clinician decision-support or early diagnosis by healthcare workers.
Monitoring and Evaluation
We care about the performance of the solutions we develop; and will help you to monitor and evaluate progress towards your goals – or identify early deviances for timely correction.
We have experience in tracking important indicators and measures identified for success, in consultation with our clients. We are also skilled in performing robust retrospective and prospective studies that evaluate the performance of care management programmes and specific interventions for quality improvement initiatives.
For more information, read our short case studies.
Consulting
Consulting on strategic direction, problem identification, idea generation and solution design.
Research and Analytics
We perform ad hoc or routine exploratory analyses of any data you may have, including structured and unstructured data, such as free text and images. We also research topics of interest to your organisation.
Keen to explore how your data could inform decision-making and support your organisation’s objectives? We offer an initial 1-hour consultation and a high-level assessment of a sample of your data for a fixed fee of R5000.00 (excl VAT), allowing you to evaluate the viability of further research and analytics.
Tools and Technologies
We develop custom tools and health technologies that enable you to leverage data to solve problems, plan forward and meet other goals. We incorporate the most appropriate data science approaches and harness both new and existing data sources efficiently, so that you have access to the information and insights required, when and where needed. Our solutions can be easily integrated into your environment or clinical setting.
We specialise in
We use machine learning methods appropriate to your data and the particular issue you would like to address. Using this sub-set of artificial intelligence, we can analyse large volumes of data efficiently; and help you to find answers to the following types of questions, among others:
- How do we find specific cases in our data?
- How do we find anomalies, unusual behaviour or events?
- How do we predict future events, costs, utilisation or other outcomes of interest?
- How can we use insights gained by our machine learning models to identify specific recommended future courses of action?
- How can we measure the outcome or impact of what we have implemented?
Reports and dashboards are designed with the end user in mind and the specific decision-making support required. We have experience in tracking important indicators and measures identified for success, in consultation with our clients.
We use state-of-the-art machine learning techniques to build bespoke predictive models that assess the burden of disease across a population and segment that population according to the risk of poor health outcomes. This facilitates equitable resource planning based on healthcare needs identified, as well as the prioritisation of care and tailoring of interventions through the identification of groups of individuals that may be at risk of particular health events.
We specialise in interpretable and explainable models that allow users to understand predictions – and act on them.
We engineer case-mix and risk adjustment models that can be used to enable fair comparisons regarding the quality and cost of care offered by various healthcare providers. These models account for the level and severity of disease (case-mix) of the population treated.
Our models take an overall patient view of their specific pattern of morbidity over time, rather than focusing on individual disease outcomes or events in assessing clinical and financial risk.
We develop software and analytical tools with natural language processing capabilities. These enable you to unlock the full value of your unstructured and free-form text data.
We build intelligent medical image classification and segmentation models to detect the probability of clinical abnormalities. These can be used for clinician decision-support or early diagnosis by healthcare workers.
Monitoring and Evaluation
We care about the performance of the solutions we develop; and will help you to monitor and evaluate progress towards your goals – or identify early deviances for timely correction.
We have experience in tracking important indicators and measures identified for success, in consultation with our clients. We are also skilled in performing robust retrospective and prospective studies that evaluate the performance of care management programmes and specific interventions for quality improvement initiatives.
For more information, read our short case studies.