Softworld, a Kelly Company’s Post

Hello everyone Today we'll talk about!! "The importance of Data Analysis in the Healthcare sector" "In today's data-driven world, healthcare organizations are generating vast amounts of data every day. But are they harnessing its full potential? Effective data analysis is crucial in the health sector, enabling us to: - Identify high-risk patients and prevent chronic diseases - Optimize treatment plans and improve patient outcomes - Detect medical errors and improve patient safety - Drive innovation and medical research By hiring a Data Analyst, healthcare organizations can: - Turn data into actionable insights that inform decision-making - Improve patient care and outcomes - Reduce costs and optimize resources - Enhance patient safety and quality of care - Support medical research and discovery Don't miss out on the benefits of data analysis in healthcare! Hire a Data Analyst today and start unlocking better patient outcomes! #DataAnalysis #Healthcare #PatientOutcomes #DataDriven #HealthcareInnovation"

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Attention all Technologically Proficient Business Analysts! Q2 Solutions is on the hunt for you. We're at the forefront of merging technology with clinical proficiency. As a Senior Business Analyst, you'll serve as the crucial link between groundbreaking tech solutions and clinical trials. Embark on a journey where your analytical skills will directly influence the future of healthcare. 🧬💡 #TechInHealthcare #BusinessAnalysis #IQVIAjobs"

🚀 Ready to Elevate Your Career in Clinical Data Management? 📊 Hey LinkedIn fam! Ever wonder where your journey in clinical data management could take you? Let's talk career progression, shall we? From crunching numbers to calling the shots, here's a sneak peek into the exciting ride ahead: 🔍 Starting as a Clinical Data Management Specialist, you'll dive deep into the data trenches, mastering the art of data collection and validation like a pro! 💼 Level up to Clinical Data Management Manager and watch your responsibilities grow faster than your morning coffee kicks in. You'll be leading teams, juggling timelines, and maybe even breaking a sweat (or two)! 🌟 Ready for the big leagues? Say hello to Senior Director of Clinical Data Management! With this title, you're not just calling the shots; you're practically the conductor of the data symphony, orchestrating brilliance at every turn! So, buckle up, data friends! Your career journey in clinical data management is about to get wild and wonderfully rewarding. Let's make some data magic together! #CareerProgression #ClinicalDataManagement #CDM #DataEntry #DataCollection #DataManagement #EDCBuild

3:1 - Clinic to Data Engineer Ratio for Oak Street Health (OSH) Blake Madden's recent post that CVS is pouring money into OSH to open 50 de-novo clinics every year [1] motivated me. I became curious about how they are hiring to implement that strategy. So. I went to their career page. Luckily, they kindly put a search menu where I could check the number of open positions by category [2] (see below). In short, they are hiring 𝟮𝟳𝟳 providers, both doctors and NPs; these openings are a mix of existing and new clinics. However, if I assume the majority of these would be for the de-novo ones, 𝗶𝘁 𝘄𝗼𝘂𝗹𝗱 𝗯𝗲 𝟱.𝟱 𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝗿𝘀 𝗽𝗲𝗿 𝘀𝗶𝘁𝗲, 𝘄𝗵𝗶𝗰𝗵 𝘀𝗼𝗿𝘁 𝗼𝗳 𝗺𝗮𝗸𝗲𝘀 𝘀𝗲𝗻𝘀𝗲.   Two numbers that stood out are the 𝟱𝟵 𝗽𝗼𝘀𝗶𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝗿𝗮𝗹 𝗛𝗲𝗮𝗹𝘁𝗵 𝗮𝗻𝗱 𝗦𝗼𝗰𝗶𝗮𝗹 𝗪𝗼𝗿𝗸 and the 𝟭𝟳 𝗳𝗼𝗿 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆. It seems to me that OSH plans to put at least one behavioral health and social worker per site. Also, if you look at the details, the open positions for the Information Technology category are mostly data engineers. If I follow the same logic, 𝗶𝘁 𝗰𝗼𝗺𝗲𝘀 𝗱𝗼𝘄𝗻 𝘁𝗼 𝗼𝗻𝗲 𝗱𝗮𝘁𝗮 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝗳𝗼𝗿 𝘁𝗵𝗿𝗲𝗲 𝗰𝗹𝗶𝗻𝗶𝗰 𝘀𝗶𝘁𝗲𝘀.  Data is a critical part of healthcare delivery operations now. We all wish the data engineering function to be a 𝙛𝙞𝙭𝙚𝙙 𝙘𝙤𝙨𝙩, but as far as I have seen in the market, 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝘁𝗮𝘀𝗸𝘀 𝗮𝗿𝗲 𝘀𝘁𝗶𝗹𝗹 𝗲𝘃𝗼𝗹𝘃𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗺𝗮𝗻𝘆 𝗰𝘂𝘀𝘁𝗼𝗺 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗱𝗲𝗽𝗲𝗻𝗱 𝗼𝗻 𝗰𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗹𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽. So, I am treating the data engineering function as a 𝙫𝙖𝙧𝙞𝙖𝙗𝙡𝙚 𝙘𝙤𝙨𝙩. The 3:1 ratio gives an interesting perspective, though. Many people ask me the right way to grow the data team. 𝗜 𝗵𝗮𝘃𝗲 𝘀𝗲𝗲𝗻 𝗯𝗼𝘁𝗵 𝘂𝗻𝗻𝗲𝗰𝗲𝘀𝘀𝗮𝗿𝗶𝗹𝘆 𝗯𝗹𝗼𝗮𝘁𝗲𝗱 𝗱𝗮𝘁𝗮 𝘁𝗲𝗮𝗺𝘀 (𝗮 𝗹𝗼𝘁) 𝗮𝗻𝗱 𝗲𝘅𝘁𝗿𝗲𝗺𝗲𝗹𝘆 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗮𝗻𝗱 𝗰𝗼𝗺𝗽𝗮𝗰𝘁 𝗱𝗮𝘁𝗮 𝘁𝗲𝗮𝗺𝘀. There is no correct answer, but this 3:1 ratio can be "𝗼𝗻𝗲" 𝗿𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗽𝗼𝗶𝗻𝘁 if you think of growing the data operation part of the business. [1] https://lnkd.in/dpsSB9RD [2] https://lnkd.in/dqQXNFP4 #valuebasedcare #dataengineering #dataanalytics #healthcareanalytics #healthcareinnovation #healthcaretechnology