Healthtech, digital solutioning & more

Statements of four senior industry professionals was given as input. The output was: The introduction of models like Claude 3.5 Sonnet is set to significantly change the role of developers in coding and software development.  Developers are likely to focus more on creative and strategic tasks while the AI models like this will handle routine coding activities. Here's what developers can expect: 1. Creative and Strategic Work: With Claude 3.5 Sonnet handling routine tasks such as generating boilerplate code, translating code, and debugging, developers will have more time to focus on innovative and high-level design and architecture. 2. Customization and Integration: Developers will use Claude 3.5 Sonnet to customize existing code and integrate it seamlessly with IDEs for a smoother workflow. 3. Legacy Modernization: The model's ability to translate code from one language to another will be crucial for modernizing legacy systems. 4. Complex Problem-Solving: Claude 3.5 Sonnet'...

Statements of four senior industry professionals was given as input. Some prompts where added. The output was: Here are three examples each of tasks that developers can focus on, leveraging AI models like Claude 3.5 Sonnet for routine tasks: Creative Tasks: 1. Designing architecture for new features or systems 2. Developing innovative solutions for complex problems 3. Creating user interfaces that require a high level of creativity Strategic Tasks: 1. Defining project roadmaps and technical strategies 2. Identifying opportunities for technological innovation 3. Developing technical leadership and vision Complex Problem-Solving Tasks: 1. Debugging complex issues that require deep system understanding 2. Optimizing system performance and scalability 3. Integrating multiple systems or services requiring creative problem-solving These tasks require human skills like creativity, critical thinking, and complex problem-solving, which are harder to automate. By focusing on these tasks, develop...

 Statements of four senior industry professionals was given as input. The output was:  Based on the information provided, here are some key points about how developers' roles are expected to change with the advent of advanced AI models like Claude 3.5 Sonnet: 1. Automation of routine tasks: AI models can now handle many routine coding tasks such as:    - Generating boilerplate code    - Debugging    - Translating legacy code to modern frameworks    - Writing production-level deployable code 2. Increased productivity: The automation of these tasks is expected to significantly boost developer productivity and reduce software development time. 3. Focus on higher-level tasks: With AI handling routine work, developers are expected to focus more on:    - Creative work    - Strategic thinking    - Complex project management    - Multi-step workflows 4. Integration with development processes: Developers wi...

Regression testing is a type of software testing that is performed to ensure that new code changes or updates do not introduce new bugs or break existing functionality in a software application. It is crucial to perform regression testing after every code change, bug fix, or new feature implementation to verify that the existing features and functionalities are still working as expected.   There are several subtypes of regression testing:   1. Unit Regression Testing: This type of regression testing focuses on testing individual units or components of the application, such as functions, methods, or classes, to ensure that they continue to work correctly after code changes.   2. Partial Regression Testing: In this type of testing, only a subset of the application's features or functionalities are tested. It is typically used when the code changes are localized, and the tester has a good understanding of which areas of the application might be affected.  ...

Detailed article on types of testing with good graphic   Unit Testing - Software Testing - GeeksforGeeks Why are negative test scenarios important in testing ? Unit testing - how to prevent rework by following best practices Regression testing - types and examples Sanity testing, unit testing, and code review - with examples What is monkey testing in software testing and how is it helpful ? Maybe useful: https://www.geeksforgeeks.org/software-testing-interview-questions/

Intro:  https://www.geeksforgeeks.org/apache-jmeter-an-introduction/  Dashboards and installation steps: https://github.com/apache/jmeter

Negative test scenarios help ensure that software functions as intended and identify errors. This helps developers and testers understand what the software should not do or accept. Examples given here:  https://testsigma.com/blog/positive-and-negative-testing-scenarios/

 Skills of a medical domain consultant with potential application in context of different solutions categories: A. Advanced Data Management: - EHR, EMR, Hospital Information Systems: Curate and structure medical data from EHRs to standardize documentation and improve data management within hospital systems. - Population Health Management Solutions: Utilize ontologies like SNOMED CT, ICD, RxNorm to ensure accurate coding for analyzing population health trends and enhancing healthcare outcomes. - Virtual Consultation: Structure medical concepts using ontologies to facilitate accurate information exchange during virtual consultations, improving continuity of care. - Predictive Analytics for Readmissions: Curating data from clinical guidelines and literature aids in building predictive models for readmission risk assessment and personalized interventions. B. Data Annotation and Validation: - Wellness Apps, Care Management: Annotate and label healthcare data for wellness apps and care m...

https://www.iguazio.com/blog/top-22-free-healthcare-datasets-for-machine-learning/ https://www.shaip.com/blog/healthcare-datasets-for-machine-learning-projects/ https://www.kaggle.com/datasets/prasad22/healthcare-dataset  

 In SAP, the Demand & Supply Planning domain typically involves several key features and functionalities aimed at optimizing and managing the flow of goods and services within an organization. Here are some of the prominent features related to Demand & Supply Planning in SAP: 1. **Integrated Business Planning (IBP)**:    - SAP Integrated Business Planning is a comprehensive solution that combines demand sensing, demand shaping, supply chain planning, and response management capabilities. It integrates with other SAP modules to provide a holistic view of demand and supply. 2. **Demand Planning**:    - SAP offers tools for demand forecasting, allowing businesses to predict future demand based on historical data, market trends, and other relevant factors. This helps in optimizing inventory levels and production planning. 3. **Supply Network Collaboration (SNC)**:    - This feature enables collaboration with suppliers and other partners in the supp...

 As we all know caching refers to storing frequently used or dealt-up data in temporary high-speed storage to reduce the latency of a system. So we do the same when happens inside a Redis cluster. Therefore, Redis Cache supercharges application performance by utilizing in-memory data caching. By storing frequently accessed data in memory, Redis Cache dramatically reduces response times and database load, resulting in faster and more scalable applications. https://www.geeksforgeeks.org/redis-cache/

In software testing, monkey testing is a technique where the user tests the application or system by providing random inputs and checking the behavior, or seeing whether the application or system will crash. Monkey testing is usually implemented as random, automated unit tests.  1. Healthcare: In cases where healthcare providers enter wrong data or make incorrect clicks while navigating the EMR system, the system should provide informative feedback, error messages, or guidance on correcting mistakes 2. Finance: Monkey testing can help prevent critical issues in financial software applications by verifying that transaction processing and data retrieval functions are able to handle unexpected inputs and scenarios without causing system failures. This can help avoid financial losses or security breaches. Incorrect Data Validation: The system should be able to detect and prompt users for the correct payment information when invalid data is entered. Monkey testing can reveal if the syst...

The Essential Guide to Functional Requirements: Definition, Examples, and Best Practices. This webpage provides a guide on functional requirements, explaining what they are and how to effectively document and manage them. It can serve as a useful checklist for requirements. https://qat.com/guide-functional-requirements/

1. Real-Time Access to Clinical Data Medical coding platforms need access to up-to-date clinical data to ensure accurate coding. FHIR APIs allow these platforms to retrieve real-time patient data, including demographics, clinical observations, lab results, and encounter details. This ensures that coders have the most current information at their fingertips. 2. Streamlined Data Exchange FHIR’s standardized format facilitates seamless data exchange between EHR systems (like Epic and Cerner) and medical coding platforms. This reduces the need for custom interfaces and data transformation processes, leading to more efficient workflows. 3. Improved Coding Accuracy Access to detailed and accurate clinical data through FHIR resources helps coders assign the correct codes, reducing errors and improving coding accuracy. This, in turn, leads to better billing outcomes and fewer claim rejections. 4. Automated Coding Assistance FHIR enables the integration of automated coding assistance tools that...

Some popular training options for learning iPhone app development: 1. Apple's Developer Documentation: Apple provides extensive documentation, guides, and tutorials on their website, covering various aspects of iOS app development, including Swift programming language, Xcode IDE, UIKit framework, and more. This is a great free resource for beginners and experienced developers alike. (https://developer.apple.com/documentation/) 2. Stanford University's CS193P Course: Stanford offers a free online course, "Developing iOS 11 Apps with Swift," on iTunes U and their website. The course is taught by experienced instructors and provides a comprehensive introduction to iOS app development using Swift. (https://cs193p.sites.stanford.edu/) 3. Udacity's iOS Developer Nanodegree: Udacity offers a paid nanodegree program that covers iOS app development from scratch. The program includes video lessons, coding exercises, projects, and personalized feedback from instructors. (htt...

 https://www.hawthorneadvertising.com/taking-the-leap-crossing-the-marketing-chasm/

For standalone tools, InVision, Balsamiq, Axure RP, Sketch (Mac only), and Adobe XD are also excellent options. When choosing prototyping tools, it's important to find one that fits your specific needs rather than opting for the most complex one available. Here's in order of what I found most useful. - Proto.io - InVision - Balsamiq - Axure RP - Sketch - Adobe XD

 https://usabilityclone.vercel.app/# Conducting user research is crucial for creating successful and user-friendly products. Here are the top ten reasons why the features mentioned in your user research Swiss Army knife are important: 1. Card Sorting:    - Improves Information Architecture: Helps understand how users organize information, leading to better navigation structures.    - Enhances Usability: Ensures that the information is categorized in a way that makes sense to users, reducing confusion. 2. Prototype Text:    - Validates Content: Tests different versions of text to see which resonates best with users.    - Improves Communication: Ensures that the language used is clear, concise, and engaging for the target audience. 3. First Click Tests:    - Assesses Navigation Intuitiveness: Determines if users can find what they’re looking for quickly and easily.    - Reduces Abandonment Rates: By improving the first-click...

  Roadmunk Monday AHA ProductPlan

 ref to diagram https://www.b2binternational.com/research/methods/faq/what-is-the-value-proposition-canvas/

MEAT (monitoring, evaluation, assessment, treatment) Criteria Model for coding is an excellent tool for monitoring key results and how it benefits partner organizations and stakeholders in achieving their business goals.  Management of chronic conditions is already a complex process for physicians because they need to update every so often in terms of diagnoses, symptoms, and new modes of treatment and procedures. As the physicians accomplish the updates, the risk adjustment and HCC process are also adjusted in real-time, and all relevant information is captured in the process.  Details:  Why M.E.A.T. CRITERIA is important for HCC Risk Adjustment – Inferscience

Five examples of relevant product metrics frameworks applied to specific scenarios.   1. AARRR (Pirate Metrics) E-commerce Platform: - Acquisition: Number of new users acquired through social media ads, email campaigns, and referrals. - Activation: Percentage of new users completing their first purchase within the first week. - Retention: Monthly retention rate of active users who return to make repeat purchases. - Referral: Number of new customers acquired through referral programs. - Revenue: Total revenue generated from sales, average order value, and customer lifetime value.   SaaS Project Management Tool: - Acquisition: Number of new sign-ups through organic search, paid advertising, and partnerships. - Activation: Percentage of new users completing the onboarding process and creating their first project. - Retention: Churn rate of users who stop using the platform and monthly active user growth. - Referral: Percentage of users referring others t...

Five examples, illustrating how the AARRR framework can be applied to assess product metrics:  #productmanagement   1. SaaS (Software as a Service) - Project Management Tool Acquisition:    - New User Sign-ups: 1,200 new accounts created this month.    - Traffic Sources: 45% organic search, 30% PPC, 25% referrals.   Activation:    - Onboarding Completion Rate: 70% of new users completed the onboarding process.    - First Project Created: 900 users created their first project within a week of sign-up.    - Time to First Code: 2 days on average.   Engagement:    - Daily Active Users (DAU): 2,000 users log in daily.    - Task Creation Rate: 150 tasks created per user per week.   Retention:    - Churn Rate: 5% of users stopped using the tool this month.    - Monthly Active Users (MAU): 15,000 users log in monthly.   Monetization: ...

 Product usage metrics assess productivity, accuracy, and user satisfaction.  For medical coding platforms we should focus on how healthcare professionals use these tools to code diagnoses, procedures, and other clinical information. Key metrics for medical coding platforms such as 3M CodeFinder, Optum360 EncoderPro, and TruCode Encoder Essentials might include:  1. User Engagement Metrics    - Daily Active Users (DAU): The number of coders or healthcare professionals who log in and use the platform daily.    - Monthly Active Users (MAU): The number of coders or healthcare professionals who log in and use the platform monthly.    - Session Duration: The average time spent on the platform per session by a user.    - Session Frequency: The number of sessions initiated by users within a specific timeframe (daily, weekly, monthly).  2. Productivity Metrics    - Number of Codes Assigned: The total number of medical codes a...

 #productmetrics #productmanagement There are these main categories : acquisition, activation, engagement, retention, and monetization Ref: https://amplitude.com/blog/product-metrics-guide

 Exploring Design Thinking: A Guide to Innovation #productmanagement Design thinking is an innovative, non-linear, and iterative process used by teams to deeply understand users, challenge existing assumptions, redefine problems, and generate effective solutions.  The primary objective of this methodology is to create solutions, products, or services that are desirable to users, economically viable, and technologically feasible. The design thinking process consists of five essential steps: Empathize, Define, Ideate, Prototype, and Test. 1. Empathize: This initial phase involves understanding the users and their needs through observation and engagement. It’s about stepping into the users’ shoes to gain insights into their experiences and challenges.     2. Define: In this stage, teams consolidate their findings from the empathize phase to clearly articulate the problem. Defining the problem is crucial as it sets the foundation for creating effective solutions. 3. Idea...

Avoiding Pitfalls in Digital Portfolio Management: Strategies for Success Digital portfolio management is a critical aspect of modern business strategy. In this article, we explore common pitfalls in digital portfolio management and provide strategies to mitigate them effectively. 1. Lack of Alignment with Strategic Objectives: Mistake: One of the most common errors in digital portfolio management is a lack of alignment between digital initiatives and the organization's strategic objectives. Without clear alignment, projects may not contribute meaningfully to the overall goals of the business. Caution: Ensure that each digital initiative directly supports the organization's strategic objectives. Regularly revisit and reassess the alignment of projects with strategic priorities to avoid drifting off course. 2. Failure to Prioritize Effectively: Mistake: Failing to prioritize digital initiatives effectively can result in resources being spread too thinly across numerous projects,...

Poor Feature Prioritization Mistake: Adding too many features without focusing on core functionalities. Negative Impact: Complicated and bloated products. Positive Impact: Focused features enhance user experience and satisfaction. Examples: The failure of Google Wave due to overwhelming complexity. Microsoft's early versions of Windows Vista were criticized for being overly complicated and resource-intensive. Ignoring Customer Feedback Mistake: Disregarding user feedback and market demands. Negative Impact: Products that don’t meet customer needs. Positive Impact: Incorporating feedback improves relevance and user satisfaction. Examples: Microsoft's pivot with Windows 10 after listening to customer feedback on Windows 8. New Coke's failure due to ignoring customer preference for the original formula. Ineffective Go-to-Market Strategy Mistake: Poorly planned product launches and marketing campaigns. Negative Impact: Low initial adoption and market penetration. Positive Impac...

  Inefficient Resource Allocation Mistake: Spreading resources too thin across too many projects. Negative Impact: Mediocre products and team burnout. Positive Impact: Focused allocation leads to high-quality product development. Examples: Yahoo’s downfall was partly due to scattered focus across many projects. GE's struggle with over-diversification led to financial and operational challenges. Suboptimal Development Processes Mistake: Sticking rigidly to one development methodology regardless of context. Negative Impact: Reduced flexibility and slower time to market. Positive Impact: Adapting methodologies improves efficiency and adaptability. Examples: Spotify’s success with their adapted agile methodology. IBM's shift to Agile methods in their software development projects improved time-to-market and product quality. Inadequate Quality Assurance Mistake: Skimping on testing to speed up time to market. Negative Impact: Product defects and customer dissatisfaction. Positive Im...

  Poor Product Portfolio Management Mistake: Failing to sunset underperforming products. Negative Impact: Resource drain on outdated products, hindering innovation. Positive Impact: Redirecting resources can revitalize the product line. Examples: Kodak's reluctance to abandon film products in favor of digital technology led to their decline. BlackBerry's persistence with physical keyboards when touchscreens became standard resulted in significant market share loss. Lack of Clear Roadmap and Vision Mistake: Over-promising on long-term goals without feasible plans. Negative Impact: Loss of credibility with stakeholders. Positive Impact: Realistic planning enhances stakeholder trust and product reliability. Examples: Google's discontinuation of Google Glass due to unclear vision and roadmap. Quibi's failure due to an unclear content strategy and over-promised technology capabilities. Insufficient Investment in Innovation Mistake: Underfunding R&D in emerging technologi...

  When evaluating whether to build or buy a solution, several key decision points need to be considered to ensure the best choice for your organization's needs. Here are the primary factors to evaluate:   1. Cost    - Initial Costs: Compare the upfront costs of building a solution in-house versus purchasing from a vendor.    - Total Cost of Ownership (TCO): Consider long-term costs, including maintenance, upgrades, licensing fees, and support.   2. Time to Market     - Development Time: Assess how long it will take to build the solution internally.    - Implementation Time: Evaluate the time required to implement and integrate a purchased solution.   3. Resources and Expertise    - In-House Expertise: Determine if your team has the necessary skills and experience to build the solution.    - Vendor Expertise: Evaluate the vendor’s expertise, reputation, and support capabilities. ...