Blogs

Fine-tuning Gemma 4 E2B with Unsloth on a free T4 GPU takes under 20 minutes and requires no paid compute. This guide covers the exact pipeline our team used: synthetic dataset creation, LoRA training, and Hugging Face deployment in a single Colab notebook.

A laboratory information management system decision looks simple from the outside. Pick a platform, configure it for your workflows, go live. Most labs do exactly this. Then, 12 to 18 months later, the EHR integration still requires a manual export. A routine 21 CFR Part 11 audit returns six findings. Every workflow change goes into a professional services queue with a six-week turnaround.

You closed the deal with a technology value creation plan tied to specific EBITDA targets. The strategy is sound, the use cases connect directly to the investment thesis, and the portco CTO has the capability to execute. But the engineering backlog is already six months longer than the hold period allows.

Three months ago, the RPM program worked. At that time 50 patients were on the system with one condition pathway and one EHR site. The per-patient SaaS fee looked manageable against CMS reimbursement although the alert queue was noisy but navigable.

PE-backed DSOs face margin pressure that payer renegotiation and incremental cost cuts can no longer offset. AI applied across five operational verticals (revenue cycle management, clinical standardization, scheduling, enterprise visibility, and exit preparation) is where the next EBITDA gains are recoverable.

A founder's perspective on the market forces that have made custom software development the rational choice — and why the window to act is shorter than most CTOs think.

The gap between what healthcare platforms promise and what they deliver in your specific clinical environment is not a new problem. What is new is the cost of staying in that gap.