There are three distinct paths that organizations are currently taking in their approach to AI healthcare

𝐓𝐇𝐄 𝐑𝐀𝐏𝐈𝐃 𝐁𝐔𝐓 𝐔𝐍𝐅𝐑𝐔𝐈𝐓𝐅𝐔𝐋 𝐏𝐔𝐑𝐒𝐔𝐈𝐓 𝐎𝐅 𝐀𝐈 𝐈𝐍 𝐇𝐄𝐀𝐋𝐓𝐇𝐂𝐀𝐑𝐄

The healthcare organizations adopt AI with a decentralized approach, but their scattered investments lead to issues like technological bloat and wasteful spending. By 2030, they anticipate AI solving all problems, yet despite successful adoption, they haven’t realized significant benefits or addressed critical healthcare challenges

𝐓𝐇𝐄 𝐑𝐈𝐒𝐊𝐒 𝐎𝐅 𝐇𝐄𝐒𝐈𝐓𝐀𝐍𝐂𝐘 𝐈𝐍 𝐄𝐌𝐁𝐑𝐀𝐂𝐈𝐍𝐆 𝐀𝐈 𝐈𝐍 𝐇𝐄𝐀𝐋𝐓𝐇𝐂𝐀𝐑𝐄

The healthcare organizations hesitate on AI due to challenges in investment and implementation. By 2030, their reluctance may lead to falling behind, as competitors capitalize on AI making it difficult to catch up and potentially eroding their traditional role in healthcare and local markets.

𝐍𝐀𝐕𝐈𝐆𝐀𝐓𝐈𝐍𝐆 𝐀 𝐓𝐇𝐎𝐔𝐆𝐇𝐓𝐅𝐔𝐋 𝐀𝐍𝐃 𝐈𝐌𝐏𝐀𝐂𝐓𝐅𝐔𝐋 𝐏𝐀𝐓𝐇 𝐈𝐍 𝐇𝐄𝐀𝐋𝐓𝐇𝐂𝐀𝐑𝐄

The healthcare organizations adopt AI systematically, perhaps more cautiously than early enthusiasts. They prioritize investments in use cases aligned with their overall strategy. By 2030, they expect substantial benefits, such as improved outcomes, cost reduction, accelerated drug development, increased engagement with patients or members, and enhanced workforce support.

To ensure long-term AI Success, organizations should aim to be in the third group, striking a balance between moving too slowly or too fast. The key is realizing that the best AI Strategy is not about AI itself but about enabling and evolving the existing organizational strategy.

Conglomerate Healthcare, 𝒂𝒏 𝒊𝒏𝒕𝒆𝒓𝒏𝒂𝒕𝒊𝒐𝒏𝒂𝒍 𝒉𝒆𝒂𝒍𝒕𝒉𝒄𝒂𝒓𝒆 𝒓𝒆𝒄𝒓𝒖𝒊𝒕𝒎𝒆𝒏𝒕 𝒇𝒊𝒓𝒎, 𝒆𝒙𝒑𝒂𝒏𝒅𝒆𝒅 𝒇𝒓𝒐𝒎 𝒊𝒕𝒔 𝑰𝑻 𝒔𝒕𝒂𝒇𝒇𝒊𝒏𝒈 𝒑𝒂𝒓𝒆𝒏𝒕 𝒄𝒐𝒎𝒑𝒂𝒏𝒚, ConglomerateIT LLC, 𝒂𝒄𝒌𝒏𝒐𝒘𝒍𝒆𝒅𝒈𝒆𝒔 𝒕𝒉𝒂𝒕 𝒕𝒉𝒆 𝒔𝒖𝒄𝒄𝒆𝒔𝒔 𝒊𝒏 𝒉𝒆𝒂𝒍𝒕𝒉𝒄𝒂𝒓𝒆 𝒉𝒊𝒏𝒈𝒆𝒔 𝒏𝒐𝒕 𝒐𝒏𝒍𝒚 𝒐𝒏 𝒂𝒅𝒐𝒑𝒕𝒊𝒏𝒈 𝒂 𝒏𝒆𝒘 𝑨𝑰 𝒔𝒕𝒓𝒂𝒕𝒆𝒈𝒚 𝒃𝒖𝒕 𝒐𝒏 𝒖𝒏𝒅𝒆𝒓𝒔𝒕𝒂𝒏𝒅𝒊𝒏𝒈 𝒉𝒐𝒘 𝒕𝒐 𝒊𝒏𝒕𝒆𝒈𝒓𝒂𝒕𝒆 𝑨𝑰 𝒊𝒏𝒕𝒐 𝒆𝒙𝒊𝒔𝒕𝒊𝒏𝒈 𝒔𝒕𝒓𝒂𝒕𝒆𝒈𝒊𝒆𝒔.

Follow us for more: https://www.linkedin.com/company/conglomerate-healthcare